Business Intelligence Talks

Web Data Mining Software

2011-02-21T04:06:00.000-08:00

Data mining is the process by using certain algorithms, software and tools to retrieve, collect, analyze and report information (known as predictive analysis) from a large pool of data. Data mining is very useful today in which information is widely available. Information obtained from data mining is used for several applications for decision making related to direct marketing, e-commerce, customer relationship management, health, oil and gas industry, scientific tests, genetics, telecommunications, financial services and utilities.

Web data mining is the automated process of extracting data from the World Wide Web. Internet has extensive data on everything that can be used effectively to make intelligent decisions. However, taking and sorting through large databases is a daunting task. Therefore, there are certain data mining tools that help to make this easier. Tools can select relevant data and interpret it as needed.

There are many types of Web data mining: mining standards, verification of data and custom mining. Web data mining products can perform various functions that are very broad, including: search engine optimization and website promotion, double transformation and marketing of modular indicators for CRM, web log reporting, tracking patterns of website visitors, visitors to calculate the conversion ratio, reported the online customer behavior, analyze click-through, providing real-time log analysis, campaign tracking, street clicks, geographical setting, with a keyword search engine, report a web visitor analysis, content analysis, extract web events such as the results of campaigns, web traffic, etc.

There are several commercially available Web data mining and web mining applications using available software. Some of them are: AlterWind Log Analyzer Professional, Amadea Web Mining, ANGOSS KnowledgeWebMiner, Azure Web Log analyzer, the Blue Martini Customer Interaction System Micro Marketing module, ClickTracks, ConversionTrack from Antssoft, Datanautics, (formerly counting), eNuggets, (real- time middleware), LiveStats from DeepMetrix, Megaputer WebAnalyst, MicroStrategy Web Traffic Analysis Module, Web Analytics NetGenesis, family NetTracker, Nihuo Web Log Analyzer, prudsys ECOMMINER, Webhound SAS, SPSS Clementine Web mining, Weblog Expert 2.0 for Windows, WebTrends, suites Data Mining web traffic information, XAffinity (TM), XML Miner, 123LogAnalyzer. There is also a free version of web software such as Data Mining: AlterWind Log Analyzer Lite, Analog (from Dr. Stephen Turner), Visitator and WUM (Web Utilization Miner.)

Reference:
[1]http://EzineArticles.com/?expert=Ross_Bainbridge

Intelligent Data Mining

2011-02-08T05:20:00.000-08:00

Data mining has had a checkered history mainly due to technical constrains placed by limitations of software design and architecture. Most of the algorithms used in data mining are mature and have been around for over twenty years. The next challenges in data mining are not algorithmic but software design methodologies. Commonly used data mining algorithms are freely available and processes that optimize data mining computing speed are well documented.

Most early data mining software were spun off from academia and were built around an algorithm. The inability of early data mining software to integrate to external data sources and usability issues resulted in data mining being marginalized.

The cost associated with data mining is still unnecessarily high and often not cost effective. New standards in data extraction and better software platforms holds promise that the threshold barrier to entry will be reduced.
Data access standards such as OLE-DB, XML for Analysis and JSR will minimize the challenges for data access. Building a user friendly software interfaces for the end-user are the next steps in the evolution of data mining. A comparable analogy can be made with the increasing ease of use of OLAP client tools.
The J2EE and .NET software platforms offer a large spectrum of built-in APIs that enable smarter software applications.

DAT-A : Open Source Data Mining and OLAP on MySQL

DAT-A is an open source application that is built to allow intelligent data mining. By intelligent data mining, DAT-A's software architects are creating a highly decouple application that focuses the user's attention on the data mining results and not the data extraction or data modeling process. All data exchanges are in XML and SOAP to ensure interoperability.

An enterprise version is also being planned that is built on a BEA WebLogic Server that writes to a Web Services interface.
Presently MySQL does not have built-in data mining modules. DAT-A applies a data mining abstraction layer on MySQL. The business logic for controlling the data mining model and model training is written in the J2EE framework.

For the personal edition of DAT-A, the MySQL data mining application server is contained within the business logic developed on the J2EE framework layer. In the upcoming enterprise version, the business logic and data extraction controls will be hosted on BEA's WebLogic application server.

Article Source:
[1]http://www.dwreview.com/Data_mining/Intelligent_DataMining.html

Visual Reporting and Analysis

2011-02-03T19:21:00.000-08:00

Data visualization is increasingly an essential element of business intelligence (BI). No longer restricted to specialized applications, data visualization in the form of charts, maps, and other graphical representations is enabling business users to better understand data and use it to achieve tactical and strategic objectives. Moreover, data visualization is prompting a cultural shift toward more analytic, data-driven business and operations by empowering users to explore, in a graphically inviting medium, data that was previously available only in tabular reports.

This TDWI Best Practices Report, which is based on a Web survey of BI professionals and interviews with BI practitioners and experts, finds that data visualization is in the middle of a remarkable growth phase. It also reveals that data visualization contributes impressively to improvements in business user insight and productivity, as well as usage of dashboards (the preferred medium for data visualization). For instance, 74% of our survey respondents credit data visualization for a “very high” or “high” increase in business user insights.

But data visualization is never a plug-and-play solution, and one size does not fit all. Dashboard design and usage can and should vary by types of users (for example, executives versus front-line staff), purpose (strategic, tactical, operational), and industry and organizational culture (a healthcare organization versus a clothing manufacturer). Customization collaboration, and iteration are required for organizations to operate interactive visual reporting and analysis solutions that deliver maximum benefits.

Article Source and Further Reading:
http://tdwi.org/research/2011/01/BPR-Q1-Visual-Reporting-and-Analysis?pc=t170tl01&utm_source=webmktg&utm_medium=Text_Link&utm_campaign=t170tl01

Financial Data Warehouse

2011-01-29T01:53:00.000-08:00

Oracle launched a new data warehouse built specifically for financial services businesses, a release that one IDC analyst says could be part of a coming wave of industry-specific releases from technology vendors.

Unveiled Thursday, Oracle Financial Services Data Warehouse features tools and integration capabilities for companies in the business of money management. Capabilities included in the warehouse are based on more than a decade of domain and data model experience with top financial companies, Oracle stated in a news release.

Oracle Financial Services Data Warehouse comes with a pre-built data model for simplified ETL, unified infrastructure to run analytics, contextual data quality checks to spot inconsistencies across ledgers and books, and high-volume, cross-functional computations often required for financial regulations and stress tests. The warehouse also leverages Oracle’s Exadata Database for analytical scenarios.

S. Ramakrishnan, Oracle financial services analytical applications group manager, said in a statement on the release that the speed and context of financial business requires a niche warehouse to avoid users from being hampered by “indiscriminate, tedious capture and stewardship” of data.

Henry Morris, analyst with consultant group IDC, says Oracle’s new warehouse is on cue with analyst predictions of an increase in rollouts of data access products and appliances for different areas of business. Morris says that this approach saves time and effort in getting data straight in the analytics area, and that there might be more of these releases coming.

“By providing an integrated data model … Oracle addresses this need in a manner that is industry-specific. This approach would add value to Exadata and increase its attractiveness to buyers in this industry,” says Morris.

Article Source:
Justin Kern,http://www.information-management.com/news/data_warehouse_business_intelligence_analytics_Oracle-10019601-1.html

Business Intelligence System Check Metrics

2011-01-03T22:04:00.000-08:00

Business intelligence is one of the most important systems are given much attention by employers. When it comes to the deployment of BI, you need to check and align their metrics from top to bottom and even in the functional areas of the organization. While this can be very tie consuming for you, you are guaranteed that you will have a long and successful career in the business world.

Currently the executive management of each company are in need get the latest information so that they will be bale to make the right decision. This is why you should check the metrics that you can obtain benefits such as less risky situation, revenues, decrease costs and repair costs over a large operational control. As we all know, today's business world driven by technology and very fast paced. Thus, only those who are nimble and competitive will to survive here. This is why many organizations are struggling to compete with the growing volume of data they must deal with every day. With business intelligence systems, they will be able to handle information and get people who are secure, more personal and up to date.

business intelligence can help companies understand and define a large volume of data so that they will be able to get through their wise decision. Bi help management to take advantage of changes in order for them to create a competitive advantage and achieve corporate objectives. On the other hand, business metrics allow managers to demonstrate their best practices by observing the process, employees, customers and finance. With the pieces of information, it's easier to make decisions faster.

For business intelligence system that will be used properly and correctly, there is a need for alignment between business metrics. We all want to add value to the business units within our department and we can do this through the BI. However, most of us would only think about the areas of finance and other departments that generate revenue for the company. Of course, this is not true and therefore there is a need to change the thinking process.

Traditionally the area in a business that created the metric is the department of human resources, sales, marketing and finance. However, if you will deliver value to your organization, there is a need for you to align the metrics from top to bottom. Business metrics can be a powerful tool if you know how to use it. They can help facilitate the company's leaders to employees. However, there is a need for you to regularly check the metric so that you will have the ability to change the metric in accordance with the latest trends in your business so it can adapt well to the never-ending struggle or challenge in the organization.

Reference:
[1]http://EzineArticles.com/?expert=Sam_Miller

What is The Right Mix Of Business Intelligence Tool

2010-12-16T20:27:00.000-08:00

Business intelligence is a relatively new field in the business world. However, this does not mean that it should be earlier to it will do all types of businesses that provide care for this aspect. Business intelligence is something that can actually foster a healthy working environment for all kinds of industries. After all, the only thing constant in this world is change, and this also applies in the business world as well. Thus, it helps to put business intelligence in corporate settings, and has a business intelligence tool that fits on your side of the fence.

In short, business actually use business intelligence to gain much-needed advantage over their competitors. Thus, there is no business without a significant competitor to actually pay for extra work. What business intelligence is that it provides businesses a perfect way to understand the needs of their customers, how their customers make decisions regarding the purchase of products and services, how customers view the products and services in the market, and the usual technology, cultural, and economic trends in the market. More than that, business intelligence is not focused only on customers only. In contrast, focuses on all aspects surrounding the market, to obtain a complete picture of the industry as a whole.

Seeing how the balanced scorecard and key performance indicators or KPI has become a major managerial tool in establishing the business today, it's not really surprising to find this in conjunction with business intelligence tools as well. With the help of KPIs and balanced scorecard, the data actually becomes more and more accessible and also processed faster and faster, it will be tied to how companies have implemented KPI today. Believe it or not, in the past, it will take weeks, even months, for companies to have access to current data that businesses can access only a day. This is an efficient way the business world has become with the help of these tools.

Business intelligence gathering clearly needed all kinds of information and then analyze this information to provide relevant data to the public in an organization, most of the time, this will become a member of upper management. These efforts require the use of some equipment and tools, the data will include data warehousing, data mining, and modeling data. These tools are data that make it easier for companies to collect the necessary data and then analyze and interpret it correctly. This tool will be used for the purpose of the organization and will also be used in conjunction with OLAP or Online Analytical Process. Another term for Analytics and OLAP is the basis for this procedure is actually the Cube Dimension Analysis.

With everything covered, clear business need the right mix of business intelligence tools to improve better in the market and increase their reach to customers, which they want to have on their side of the fence. With the right tools to help companies gather data that they need, every business must be able to gain any significant advantage over competitors.

Reference:
[1] Sam Miller,http://EzineArticles.com/?expert=Sam_Miller

Business Intelligence Software Review Your company should know

2010-12-13T16:50:00.000-08:00

In September 2009, IBM published the results of their survey with the 2600 CIO from 78 different countries and 19 different industries. 83% of CIOs interviewed personally selected Business Intelligence and Analytics as their main priority for 2009 and 2010.

In the past 6 months, we tested several business intelligence (BI) solutions such as Cognos, iQ4bis, Business Objects, Qlikview, Micro Strategy and BDA. They vary much in function, price, necessary resources (external and internal), the target group, integration with data sources and more.

In addition to its own research, we interviewed more than 50 companies to get their input about the experience with BI solutions, they TCO (total cost of ownership) and their future plans with Analytics.

We found that large companies is less price-sensitive and still invest in an external consulting and add additional users for their BI systems. But most small and medium-sized companies, (most of them with $ 50 million to 500 million U.S. dollars annual turnover, the so-called SMEs or Small and Mid-Size Business) want to reduce their costs for application analysis and take ownership more by using the resources internally to build or expand the data warehouse and analysis applications.

Therefore, we concentrated our efforts in searching and examining applications of BI are cheap, feature rich and easy to implement with the resources in-house. We found one clear winner, a relatively new business intelligence software, called BDA which stands for Business-Data-Analysis. BDA offers a data warehouse based on Microsoft technology, SQL-Server (but works with all types of data sources like Oracle, IBM DB2, SQL-Server, Access and many more), reporting and analysis front-end and many pre-packaged business solutions such as Sales Analysis for JD Edwards, Sage, BPCS, SAP and more. The two features we most like is that the BDA offers an unlimited number of user front-end for reporting and analysis system and the fact that IT departments can take full ownership of BDA to build or extend applications.

Reference:
[1] Herbert Schoenek, http://EzineArticles.com/?expert=Herbert_Schoenek

On Demand Business Intelligence Applications:7 Things You Need to Know about

2010-12-07T22:50:00.000-08:00

The next generation of business intelligence applications demand is already here, providing instant visibility to the fraction of the cost of traditional BI offerings. Look at the following seven facts you need to know about business intelligence on-demand.

1.Provides right metrics out-of-the-box - the next generation of BI applications are pre-integrated with the ERP, such as SAP, to provide a full set of metrics best practices in key subject areas such as the performance of suppliers, procurement and inventory performance.
2.More affordable than current solutions - application True on-demand business intelligence available at an affordable monthly subscription with zero up-front investment. Say "goodbye" to ongoing professional services, consulting fees, and upgrades.
You 3.Simplifies BI processes - On demand BI BI infrastructure by replacing the entire URL. No software or hardware, there is no change or IT professional services. An effective solution more reliable and cost.
4.Promotes user adoption - The complexity inherent in traditional business intelligence on-premise installation of the adoption of low-end users because user expectations are not met. With the demand for business intelligence, there is essentially zero risk involved - if your needs are not met, simply cancel your service.
5.On-demand BI applications are secure - Data centers, like Rackspace, a SAS70 certified and provides state-physical-the-art, data and network security. Their business is focused on IT security while you focus on business IT.
6.Built for business users - On demand business intelligence applications developed with business users in mind. They combine domain expertise with deep technical knowledge to provide best practice metrics and analysis packed easy to use tool for easy reporting and navigation data.
7.Enables collaboration and sharing of information, users can share a fully customizable business metrics with co-workers to get answers and opinions on business performance.

BI applications is to fulfill the unrealized potential of business intelligence by reducing complexity, improving usability, and eliminate dependence continues to IT. Why start a long and expensive BI projects that have a high chance of failure, when you can get the information you need at a fraction of the cost, today?

Reference:
[1]Flex John, http://www.articlesbase.com/software-articles/7-things-you-need-to-know-about-on-demand-business-intelligence-applications-3503693.html

Tips for Setting Up Business Intelligence System

2010-11-22T20:58:00.000-08:00

The main concept behind the business is to collect important information that can be turned into useful knowledge. Therefore, every growing business needs to realize the importance of business intelligence. Business intelligence information gathering process associated with a significant fine, sorting this information, analyze this information, evaluation and checking this information, and generate reports from this information is processed for use by companies or business owners in making their decision.

A business intelligence system will, therefore, help the company or business to manage all information produced is evaluated for them and make them available and useful whenever it is needed. It is the responsibility of a business intelligence system to create reports based on data collected to help steer the company toward the goals set.

Growth in Business Intelligence System

Business intelligence systems began with a humble beginning. Until a few years ago, a simple business intelligence systems with reporting tools, analytic resources, data mining and storage facilities. This arrangement proved difficult for the average worker to understand and use the system for maximum effectiveness.

Now, business intelligence system has undergone modifications that make it much easier to use. This modification together with the new design makes the system more effective in providing meaningful and accurate results for the company.

A Business Intelligence System Every company is different

Because different companies have different needs and objectives, business intelligence systems will vary from one company to another. A business intelligence system that can be tailored to address specific needs of a particular company. Tools and resources needed to be designed so that the unique features of performance indicators and measurement company. In this way the business intelligence system will help determine whether the company's strategy and plans that are compatible with their goals. This is an important part of the assessment process because at this stage that the company's status and position are analyzed to determine how he will fare in the coming years.

Putting Up Business Intelligence System

There are various steps involved in placing a business intelligence system every significant step towards the entire process. The first step in building a business intelligence system is to answer important questions about corporate entity. It should be first and foremost that the company had knowledge of the purpose and what it plans to achieve. This is a prerequisite for the next step is to determine how the business intelligence system will help them achieve their goals. The type of data that needs to be collected and collected and the way in which the data will be collected and stored is the next part of the process. Having data that is not where it ends. Companies also must realize the statistical parameters of the data for the system to be able to design metrics that will be used to measure, analyze, evaluate, and produce reports from the output of this step. Monitoring business intelligence system is also a regular and constant responsibility for the company; then, hire staff at home to do this is necessary. Building a business intelligence system is of course expensive, so companies should ensure that it can be bought from every stage of its development.

Of course, there are many more factors to consider in this process, and more elements need to attend to the business intelligence system that will be realized. A careful analysis of each step of the process and be knowledgeable about the system is a basic requirement in the process of setting up such a business intelligence system.

Get your article marketing efforts today with web marketing web company.

Reference:
[1] http://www.articlesbase.com/small-business-articles/setting-up-your-companys-business-intelligence-system-321498.html

Why Business Intelligence Service?

2010-11-06T07:50:00.000-07:00

If you're going to start a new business set up then surely you will find a handsome return. The balance between revenues and expenditures or profits are real business intelligence. To achieve this goal, you must apply intelligent business applications. By implementing this application you can to minimize operating costs and increase your revenue.

If you plan to buy the software to optimize your business solution, designed specifically for that purpose then there is one thing to see that this software can not be practical as the circumstances would not be the same for different types of businesses. You can not deal with such type of software itself. So it's advisable to hire a specialist when she could make decisions and analyze the situation favorable to you. He can also take the help of software like that he is able to handle it perfectly.

Good business intelligence services to invite confidence, got it, honor it and finally the gift. Consultants will do everything to promote you. First he made a survey in accordance with your business, it will create a strategy and follow it. He also would change his decision, if necessary. All previous results will be there in his notes to learn them. These records will help him in the future. He can keep you updated about the product or service. Being a software specialist he will give optimal results. So beneficial for you to take a good service or a savvy business consultant business consulting firm that smart.

Some people start making them up from home. At first they thought it would be beneficial and economical for them. But after sometimes they feel that they are either ignored or they get a loss. It makes them angry. So, if you are also going through the same situation, then the answer to this question is to take a well-known business intelligence consulting services. business intelligence solution will definitely give height to your destination. After some time, the company or your product will become a brand.

Reference:
[1] Arun Kumar, http://www.articlesbase.com/customer-service-articles/the-importance-of-business-intelligence-services-2307343.html

Know Your Business Intelligence Investment Strategies

2010-11-03T05:05:00.000-07:00

When you invest your money in a particular business, you will want to be successful. You do not want something you've worked hard for to go down the drain in a matter of time. In order for you to make sure that you will rise above the challenges when setting up a business, you have to come up with effective business intelligence strategy. But before you develop a strategy, you need to know more about business intelligence. In general, business intelligence is to learn how to mind your client work. In this way, you will be able to determine the right thing to do in order to serve them well. On the other hand, also about the size up your competitors so you will get to appear in the middle of a big competition. What's more, business intelligence is about knowing your organization's weaknesses and strengthen weaknesses. When you can learn more about business intelligence, you will know how to come up with a business intelligence strategy that will surely make your investment a success.

Back Up Your Business Intelligence Strategy with Effective Tools

Your organization should plan a business intelligence strategy carefully if you want to rise above the competition. You must enter the mind that when you work together as a group, you will be able to come up with the best tactics to create your business wins. Your team must continue to goal-oriented and united. If you want to make sure that each group member has the right knowledge, to choose wisely from your organization. A team that has more expertise from business intelligence will help you develop business intelligence strategies efficiently. In addition to great teamwork, you must also back up your strategy with the best tools. Examples of these tools will be the application of intelligence or management software. Although your business plan sounds just perfect, he will never be one unless you pair it with the right tools.

Importance of Business Intelligence Strategy Formulation

If you want more profits directly into your business, you must understand the importance of business intelligence strategy. Once you realize the benefits that can give you, you will be able to come up with intelligence solutions that match your business goals. You must make it a point to make a tactic to make your business more successful intelligence efforts. However, it should not end only with the awareness and understanding. Careful planning and development of ideas are also needed. preparation of your business must be careful before you think about the implementation of any business intelligence strategy.
What Makes Your Business Strategy Intelligence Success?
Before you develop a business intelligence strategy, you need to know certain factors that make it more effective. There are main factors that determine the efficient intelligence tactics. These include:
• continuous adjustment of your business goals with your intelligence strategy.
• practical integration of business intelligence applications into the main workflow and business processes.
• Constant consultation with members of your organization's right, like the authority of the business.
• Improve your business practices with technology.
• Use the definition of efficient processes for your business intelligence strategy.

Business Intelligence Strategy Change in Your Business Growth

Your business is not within a certain level. Over time, your investment will grow and grow. This goes especially when your business intelligence strategy effectively and successfully. With the growth of your business, your strategy must also change. This is due to the fact that you need to improve your tactics to meet the growing demands of your clients. Your competitors are also thinking of ways to get the victory. This is why you need to increase your intelligence business strategy at all times to gain an edge against them.

Reference:
[1] Hall Andrew, http://www.articlesbase.com/small-business-articles/know-the-best-business-intelligence-strategy-for-your-investment-321497.html

microsoft sql server reporting services

2010-10-26T07:46:00.000-07:00

SQL Server Reporting Services (SSRS) is a server-based report generation software system from Microsoft. It can be used to prepare and deliver a variety of interactive and printed reports. It is administered via a web interface. Reporting services features a web services interface to support the development of custom reporting applications.

SSRS competes with Crystal Reports and other business intelligence tools, and is included in Express, Workgroup, Standard, and Enterprise editions of Microsoft SQL Server as an install option. Reporting Services was first released in 2004 as an add-on to SQL Server 2000. The second version was released as a part of SQL Server 2005 in November 2005. The latest version was released as part of SQL Server 2008 in August 2008. Reports are defined in Report Definition Language (RDL), an XML markup language. Reports can be designed using recent versions of Microsoft Visual Studio, with the included Business Intelligence Projects plug-in installed or with the included Report Builder, a simplified tool that does not offer all the functionality of Visual Studio. Reports defined by RDL can be generated in a variety of formats[1] including Excel, PDF, CSV, XML, TIFF (and other image formats[2]), and HTML Web Archive. SQL Server 2008 SSRS can also prepare reports in Microsoft Word (DOC) format.

Article Source:
http://en.wikipedia.org/wiki/SQL_Server_Reporting_Services

Business Intelligence, Data Warehousing, BPM Implementation Guide

2010-10-23T03:06:00.000-07:00

Business Performance Management (BPM) establishes a framework to improve business performance by measuring key business characteristics which can be used to feedback into the decision process and guide operations in an attempt to improve strategic organisational performance. Other popular terms for this include; Enterprise PM (EPM), Corporate PM (CPM) Enterprise Information Systems (EIS), Decision Support Systems (DSS), Management Information Systems (MIS).

BPM: Cycle of setting objectives, monitoring performance and feeding back to new objectives.
Business Intelligence (BI) can be defined as the set of tools which allows end-users easy access to relevant information and the facility to analyse this to aid decision making. More widely the 'intelligence' is the insight which is derived from this analysis (eg. trends and correlations).

BI: Tools to Access & Analyse Data

Key Performance Indicators (KPIs) are strategically aligned corporate measures that are used to monitor, predict and anticipate the performance of the organisation. They form the basis of any the BPM solution and in an ideal world it should be possible to relate strategic KPIs to actual operational performance within the BI application.
KPIs provide a quick indication on the health of the organisation and guide management to the operational areas affecting performance.

In many companies analysis of data is complicated by the fact that data is fragmented within the business. This causes problems of duplication, inconsistent definitions, inconsistency, inaccuracy and wasted effort.
Silos of Data: Fragmented, Departmental Data Stores, often aligned with specific business areas.
Data Warehousing (DWH) is often the first step towards BI. A Data Warehouse is a centralised pool of data structured to facilitate access and analysis.

DWH: Centralised/Consolidated Data Store

The DWH will be populated from various sources (heterogeneous) using an ETL (Extract, Transform & Load) or data integration tool. This update may be done in regular periodic batches, as a one off load or even synchronised with the source data (real time).

ETL: The process of extracting data from a source system, transforming (or validating) it and loading it into a structured database.

A reporting (or BI) layer can then be used to analyse the consolidated data and create dashboards and user defined reports. A modelling layer can be used to integrate budgets and forecasting.

As these solutions get more complex, the definitions of the systems and what they are doing becomes more important. This is known as metadata and represents the data defining the actual data and its manipulation. Each part of the system has its own metadata defining what it is doing. Good management & use of metadata reduces development time, makes ongoing maintenance simpler and provides users with information about the source of the data, increasing their trust and understanding of it.

Metadata: Data about data, describing how and where it is being used, where it came from and what changes have been made to it.

Commercial Justifications

There is clear commercial justification to improve the quality of information used for decision making. A survey conducted by IDC found that the mean payback of BI implementation was 1.6 years and that 54% of businesses had a 5 year ROI of >101% and 20% had ROI > 1000%.

ROI on BI > 1000% from 20% of organisations

There are now also regulatory requirements to be considered. Sarbanes-Oxley requires that US listed companies disclose and monitor key risks and relevant performance indicators - both financial and non financial in their annual reports. A robust reporting infrastructure is essential for achieving this.

SarbOx requires disclosure of financial & non-financial KPIs

Poor data quality is a common barrier to accurate reporting and informed decision making. A good data quality strategy, encompassing non system issues such as user training and procedures can have a large impact. Consolidating data into a DWH can help ensure consistency and correct poor data, but it also provides an accurate measure of data quality allowing it to be managed more pro-actively.

Data Quality is vital and a formal data quality strategy is essential to continually manage and improve it.

Recent research (PMP Research) asked a broad cross section of organisations their opinion of their data quality before and after a DWH implementation.

- "Don't know" responses decreased from 17% to 7%
- "Bad" or "Very Bad" decreased from 40% to 9%
- Satisfactory (or better) increased from 43% to 84%

DWH implementations improve Data Quality.

Tools Market Overview

At present BI is seen as a significant IT growth area and as such everyone is trying to get onto the BI bandwagon:

ERP tools have BI solutions e.g SAP BW, Oracle Apps
CRM tools are doing it: Siebel Analytics,
ETL vendors are adding BI capabilities: Informatica
BI vendors are adding ETL tools: Business Objects (BO) Data Integrator (DI), Cognos Decision Stream
Database vendors are extending their BI & ETL tools:
Oracle: Oracle Warehouse Builder, EPM
Microsoft: SQL 2005, Integration Services, Reporting Services, Analytical Services

Improved Tools

Like all maturing markets, consolidation has taken place whereby fewer suppliers now cover more functionality. This is good for customers as more standardisation, better use of metadata and improved functionality is now easily available. BI tools today can now satisfy the most demanding customer's requirements for information.

Thinking and tools have moved on - we can now build rapid, business focussed solutions in small chunks - allowing business to see data, store knowledge, learn capabilities of new tools and refine their requirements during the project! Gone are the days of the massive data warehousing project, which was obsolete before it was completed.
A typical DWH project should provide usable results within 3 - 6 Months.

Advice & Best Practice

Initial Phase

Successful BI projects will never finish. It should perpetually evolve to meet the changing needs of the business. So first 'wins' need to come quickly and tools and techniques need to be flexible, quick to develop and quick to deploy.

Experience is Essential

Often we have been brought in to correct failed projects and it is frightening how many basic mistakes are made through inexperience. A data warehouse is fundamentally different to your operational systems and getting the initial design and infrastructure correct is crucial to satisfying business demands.

Keep Internal Control

We believe that BI is too close to the business and changes too fast to outsource. Expertise is required in the initial stages, to ensure that a solid infrastructure is in place (and use of the best tools and methods.) If sufficient experience is not available internally external resource can be useful in the initial stages but this MUST include skills transfer to internal resources. The DWH can then grow and evolve (with internal resourcing) to meet the changing needs of the business.

Ensure Management and User Buy In

It may sound obvious but internal knowledge and support is essential for the success of a DWH, yet 'Reporting' is often given a low priority and can easily be neglected unless it is supported at a senior business level. It is common to find that there is a limited knowledge of user requirements. It is also true that requirements will change over time both in response to changing business needs and to the findings/outcomes of the DWH implementation and use of new tools.

Strong Project Management

The complex and iterative nature of a data warehouse project requires strong project management. The relatively un-quantifiable risk around data quality needs managing along with changing user requirements. Plan for change and allow extra budget for the unexpected. Using rapid application development techniques (RAD) mitigates some of the risks by exposing them early in the project with the use of proto-types.

Educating the End Users

Do not under estimate the importance of training when implementing a new BI/ DWH solution. Trained users are 60% more successful in realising the benefits of BI than untrained users. But this training needs to consider specific data analysis techniques as well as how to use the BI tools. In the words of Gartner, "it is more critical to train users on how to analyse the data." Gartner goes on to say "... that focusing only on BI tool training can triple the workload of the IT help desk and result in user disillusionment. A user who is trained on the BI tool but does not know how to use it in the context of his or her BI/DWH environment will not be able to get the analytical results he or she needs...". Hence bespoke user training on your BI system and data is essential.

Careful planning of the training needs and making the best use of the different training mediums now available can overcome this issue. Look for training options such as: Structured classroom (on or off site), web based e-learning (CBT), on the job training & skills transfer, bespoke training around your solution & data.

Technical Overview

Information Portal: This allows users to manage & access reports and other information via a corporate web portal. As users create & demand more reports the ability to easily find, manage & distribute them is becoming more important.
Collaboration: The ability for the Information Portal to support communication between relevant people centred around the information in the portal. This could be discussion threads attached to reports or workflow around strategic goal performance.
Guided Analysis: The system guides users where to look next during data analysis. Taking knowledge from people's heads and placing it in the BI system.
Security: Access to system functionality and data (both rows and columns) can be controlled down to user level and based on your network logon.
Dashboards & Scorecards:
Providing management with a high level, graphical view of their business performance (KPIs) with easy drill down to the underlying operational detail.
Ad-hoc Reporting and Data Analysis: End users can easily extract data, analyse it (slice, dice & drill) and formally present it in reports & distribute them.
Formatted/ Standard Reports: Pre-defined, pixel perfect, often complex reports created by IT. The power of end user reporting tools and data warehousing is now making this type of report writing less technical and more business focussed.
Tight MS Office integration: More users depend on MS Office software, therefore the BI tool needs to seamlessly link into these tools.
Write Back: The BI portal should provide access to write back to the database to maintain: reference data, targets, forecasts, workflow.
Business Modelling/ Alerting: around centrally maintained data with pre-defined, end user maintained, business rules.
Real Time: As the source data changes it is instantly passed through to the user. Often via message queues.
Near Real Time: Source data changes are batched up and sent through on a short time period, say every few minutes - this requires special ETL techniques.
Batch Processing: Source Data is captured in bulk, say overnight, whilst the BI system is offline.

Relational Database Vs OLAP (cubes, slice & dice, pivot)

This is a complex argument, but put simply most things performed in an OLAP cube can be achieved in the relational world but may be slower both to execute and develop. As a rule of thumb, if you already work in a relational database environment, OLAP should only be necessary where analysis performance is an issue or you require specialist functionality, such as budgeting, forecasting or 'what if' modelling. The leading BI tools seamlessly provide access to data in either relational or OLAP form, making this primarily a technology decision rather than a business one.

Top Down or Bottom Up Approach?

The top down approach focuses on strategic goals and the business processes and organisational structure to support them. This may produce the ideal company processes but existing systems are unlikely to support them or provide the data necessary to measure them. This can lead to a strategy that is never adopted because there is no physical delivery and strategic goals cannot be measured.

The bottom up approach takes the existing systems and data and presents it to the business for them to measure & analyse. This may not produce the best strategic information due to the limited data available and data quality.

We recommend a compromise of both approaches: Build the pragmatic bottom up solution as a means to get accurate measures of the business and a better understanding of current processes, whilst performing a top down analysis to understand what the business needs strategically. The gap analysis of what can be achieved today and what is desired strategically will then provide the future direction for the solution and if the solution has been designed with change in mind, this should be relatively straight forward, building upon the system foundations already in place.

Advanced Business Intelligence

The following describes some advanced BI requirements that some organisations may want to consider: Delivering an integrated BPM solution which has business rules and workflow built in allowing the system to quickly guide the decision maker to the relevant information.

Collaboration and Guided Analysis to help manage the action required as a result of the information obtained.
More user friendly Data Mining and Predictive Analytics, where the system finds correlations between un-related data sets in order to find the 'golden nugget' of information.

More integration of BI information into the Front Office Systems e.g. a gold rated customer gets VIP treatment when they call in, data profiling to suggest this customer may churn, hence offer them an incentive to stay.

Increased usage of Real Time data.

End to end Data Lineage automatically captured by the tools. Better metadata management of the systems will mean that users can easily see where the data came from and what transformations it has undergone, improving the trust in the data & reports. Systems will also be self documenting providing users with more help information and simplifying ongoing maintenance.

Integrated, real time Data Quality Management as a means to measure accuracy of operational process performance. This would provide cross system validation, and verify business process performance by monitoring data accuracy, leading to better and more dynamic process modelling, business process re-engineering and hence efficiency gains.

Packaged Analytical Applications like finance systems in the 80's and packaged ERP (Enterprise Requirement Planning) in the 90's. Packaged BI may become the standard for this decade. Why build your own data warehouse and suite of reports and dashboards from scratch when your business is similar to many others? Buy packaged elements and use rapid deployment templates and tools to configure them to meet your precise needs. This rapid deployment capability then supports you as your business evolves.

BI for the masses: As information becomes more critical to manage operational efficiencies, more people need access to that information. Now the BI tools can technically and cost effectively provide more people with access to information, BI for the masses is now reality and can provide significant improvement to a business. The increased presence of Microsoft in the BI space will also increase usage of BI and make it more attractive. BusinessObjects' acquisition of Crystal and recent release of XI will also extend BI to more people, in and outside the organisation - now everyone can be given secure access to information!

Conclusion

The potential benefits from a BI/DWH implementation are huge but far too many companies fail to realise these through: lack of experience, poor design, poor selection and use of tools, poor management of data quality, poor or no project management, limited understanding of the importance of metadata, no realisation that if it is successful it will inevitably evolve and grow, limited awareness of the importance of training with all these areas to consider using a specialist consultancy such as IT Performs makes considerable sense.

Reference:
[1] Clare Bryan, http://EzineArticles.com/?expert=Clare_Bryan

Cognos 8 Business Intelligence an Overview

2010-10-18T17:16:00.000-07:00

IBM Cognos® 8 BI delivers the complete range of BI capabilities – Reporting, Analysis, Dashboards, and Scorecards -- on a single service-oriented architecture (SOA).

Author, share, and use reports that draw on data from all enterprise sources for better business decisions. Use reports, analysis, dashboards and scorecards to monitor business performance, analyze trends and measure results. A service-oriented architecture (SOA) makes it easy to deploy and manage.

    * Build reports, OLAP cubes, dashboards and scorecards using all data sources.
    * Proven scalability to hundreds of thousands of users.
    * Modular deployment lets you meet immediate user needs and expand or modify as needed.
    * Reporting: Write and deliver any type of report, adaptable to any data source, quickly and easily.
    * Analysis: Analyze and report against online analytical processing (OLAP) and dimensionally aware relational sources.
    * Scorecarding: Build scorecards to align teams and tactics with strategy.
    * Dashboards: Communicate complex information quickly with a range of easy-to-build dashboards.

Reference:
http://www-01.ibm.com/software/data/cognos/products/cognos-8-business-intelligence/

impromptu cognos

2010-10-13T05:08:00.000-07:00

IBM® Cognos® Impromptu® lets you author virtually any report using Impromptu's superior frame-based reporting interface.

Create reports from any data source and distribute them to business users across the organization for better decisions and improved corporate performance. IBM Cognos Impromptu is based on the IBM Cognos Series 7 architecture.

    * Flexible report creation: frame-based report builder with features such as prompts, picklists, filters, and grouping, sorting and formatting capabilities.
    * Advanced reporting options let users build a wide variety of reports: grouped lists, crosstabs, charts and more.
    * Powerful summaries and calculations.
    * Linked reports: a report author can easily create a system of linked reports to explore the data and move from summary to detail.
    * Prompts and customization: IT can ensure that one report serves the needs of many.
    * Move up to IBM Cognos 8 BI - the next level of reporting on a new Web services-based, service oriented architecture.

Article Source:
[1] http://www.ibm.com/software/data/cognos/products/series7/impromptu/

What is business intelligence studio

2010-10-07T16:28:00.000-07:00

Business Intelligence Development Studio (BIDS) is the IDE from Microsoft used for developing data analysis and Business Intelligence solutions utilizing the Microsoft SQL Server Analysis Services, Reporting Services and Integration Services. It is based on the Microsoft Visual Studio development environment but customizes with the SQL Server services-specific extensions and project types, including tools, controls and projects for reports, ETL dataflows, OLAP cubes and data mining structure.

Reference:
[1] http://en.wikipedia.org/wiki/Business_Intelligence_Development_Studio

cognos data warehouse

2010-10-02T21:34:00.000-07:00

If you want to hear the cognos data warehouse, you can refer to mydbwi blog.

Mydwbi blog aims at data warehousing and business intelligence technical aspects. We would particularly like to point out a very interesting IBM Cognos 8 Framework Manager technical tutorial and blog.
Among other useful tips, it shows how to create a Time Dimension in Framework Manager, how to publish a package after modifying a model without impacting existing reports or switch to a SunOne Directory Server.

Although the site is partially in Chinese, there is an English version of the most interesting articles. The blog covers such technologies as Cognos, Infromatica, Datastage, MicroStrategy, BO, NCR, Oracle, MS SQL Server and Sybase.

Reference:
[1] http://www.bi-dw.info/bidw247.html

Cognos Training Tips

2010-09-26T15:24:00.000-07:00

Did you implement Cognos Business Intelligence at your organization? after that, you need Cognos training to make sure all your staff be familiar with Cognos. However, cognos training is not cheap. Since then, there is a need some tips to held cognos training. Have a look here !

Cognos is a business intelligence software from IBM. Many people who have posted on their company Cognos to improve and track the performance of management. However, it is necessary to have some trained professionals in the home while all the organizations that adapt to the software. Cognos training can be taken from a certified Cognos Solution Provider. Before going in for training programs, make sure that the consultants own certified training institute and has deep hands-on knowledge and experience with handling the software.

Cognos training course curriculum shall consist of practical experience, workshops, lectures on the use of data, case studies, etc. Also, check whether the institution has a flexible choice of class time, because most of the time, you will be expected to manage the employment and training simultaneously.

Instead of traditional classroom training, experience in a more practical style tutorial workshops. The workshop builds skills through increasingly complex assignments where the teacher lived as a mentor rather than lecturer. In addition, during the workshop, emphasizing the use of data source you choose. More focus on learning tool rather than trying to understand foreign demo data. Take seriously your case studies for classroom training. Case studies are real life experiences that will enhance your knowledge base and, at the same time, provide information about real life situations along with examples. They are designed to make you more productive.

Article Source:
[1] Helena Paulson, http://EzineArticles.com/?expert=Helena_Paulson

cognos business intelligence

2010-09-21T05:28:00.000-07:00

More than 23,000 leading companies and organizations around the world choose Cognos performance management solutions. Use business intelligence software to understand performance and make better decisions. Use financial performance management software to set targets and allocate the resources to achieve them.

For further information about Cognos Business Intelligence and Financial Performance Management, Cognos software, services, best practices and support you can refer at [1].

Reference:
[1] http://www-01.ibm.com/software/data/cognos/

sharepoint business intelligence

2010-09-15T19:09:00.000-07:00

Microsoft give some reliable business intelligence solutions for your organization. One of them is Micorosoft sharepoint. This Blog [1] reveals How sharepoint business intelligence cope with your business problem.

With the exciting changes taking place in Microsoft Business Intelligence, [1] discusses the key things with you that are happening in SharePoint BI, and how you can learn about them from across the company. Expect to see guest posts and videos, demonstrations, and news. Your feedback and input are welcomed as It discuss Business Intelligence in SharePoint.

Reference:
[1] http://blogs.msdn.com/b/sharepointbi/

microsoft sql server 2008 business intelligence

2010-09-12T06:08:00.000-07:00

Microsoft SQL Server 2008 provides a scalable Business Intelligence platform optimized for data integration, reporting, and analysis, enabling organizations to deliver intelligence where users want it.

Top New Features

Create high-performance Analysis Services solutions with optimized cube designers, subspace computation, and MOLAP-enabled writeback capabilities
Implement enterprise-scale Reporting Services solutions through new on-demand processing and instance-based rendering
Build flexible and effective reports with the new Tablix data structure and rich formatting capabilities
Expand reach, and empower more users through optimized integration with the 2007 Microsoft Office system

Use the enterprise-scale data warehouse platform of SQL Server 2008 to efficiently implement and manage unified storage for all of your business data.

Boost data warehouse performance

Integrate large volumes of data into your data warehouse faster by using SQL Server 2008 Integration Services, and consolidate real-time data by capturing data changes
Increase the manageability and performance of large tables with partitioning, which enables you to manage growing volumes of data and users of your SQL Server 2008 data warehouse more efficiently
Consolidate all data for optimized reporting and analysis
Work with all of your data and interact the way you want through support for both relational and non-relational data, including new data types such as FILESTREAM & Spatial
Incorporate data from multiple sources directly into a single report

Use the data source view to integrate data from across the enterprise and create a Unified Dimension Model that consolidates data from heterogeneous, enterprise-wide data stores, such as SQL Server, Oracle, DB2, SAP and Teradata, to create a holistic view of your business, helping end users gain enterprise-wide insight.

Article Source and Further Reading:
http://www.microsoft.com/sqlserver/2008/en/us/business-intelligence.aspx

Business Intelligence Management

2010-09-06T23:38:00.000-07:00

Management is the backbone of the company. The stronger of the spine, the more successful a company will be. When the world has become a global village, internal business now needs more efficient management schemes to run the business smoothly. Organizations need to implement domestic policies internationally. Franchised dealers across the world provided by the management policy remains the same. management is carried out so as to maintain a tight competition. This will not be easy for companies to run such synchronized management without any tool. One is the management of business intelligence tools. Inside, a management technology combined with an application to collect data and then analyze the information that the company's operations.

Every entrepreneur wants to have a birds-eye view of the business. The view that will provide them with knowledge about the factors that influence upon their business. these factors may be sales, production, internal operations, etc. Business intelligence is a system that provides employers with a matrix that helps them to make better decisions for the company. For a successful business entrepreneur must follow a pattern where the market share changes. He must observe the changes in customer behavior and their shopping patterns. He should also understand the ability of the company and conditions in the market. Excellent knowledge of all the needs of employers to make adjustments on the spot less. Business intelligence helps them to determine and adjust the effective trend. Business intelligence also helps the analyst with information about the country's economic and market factors. This system provides employers with an intimate knowledge of the internal operations of business.

For the backbone of a strong management it is mandatory that everyone from employees involved in labor sector should be aware of what is happening around them. Business intelligence helps companies in this way also. Applications and technology allows companies to distribute information evenly among employees. As a result, companies can make more accurate business decisions.

The Company operates a data analysis to understand what they have done in the past and what they should do in the near future. But this test is not so easy. For unlimited data and information obtained is too ambiguous. So, many companies are the result of a relationship with guesswork. Business intelligence helps companies to develop appropriate data based business decisions. When an efficient business intelligence to improve communications between departments, to coordinating activities very easily.

In the past businesses had to retrieve data from a source non-automatic or manual. Business can not properly analyze the data. But after the introduction of IT (information technology) to collect data automatically-which has become much easier and confirmed the correct one. Rapidly changing world. People's demand is a more efficient service from businesses. To stay competitive in the market that the company should exceed customer expectations. As a result the company relies on business intelligence for their own future trends and events. Business users' do not want to wait for information. Information should alway

By Gavin Keller, Article Source:
http://EzineArticles.com/?expert=Gavin_Keller

common mistakes in business intelligence strategy

2010-09-03T21:53:00.000-07:00

In a recent study by Gartner, Inc., a leading IT research and advisory company, a list of disability strategy - or no strategy at all - as one of nine "serious mistake" in the Business Intelligence (BI) project implementation. A good BI strategy, on the other hand, is the key to a successful implementation, helping to maximize return on IT investment.

How do you know if your BI strategy was flawed? Here are seven signs - how many applied in your organization?

1. BI systems are not seen as relevant.
This often indicates a lack of consultation throughout the organization. This causes a lack of buy-ins, and potential users do not see what the BI system has to do with them. If the beneficiaries of the system is not involved in the design of these systems may not be successful if implemented. BI strategy, if any, not including the requirement to consult widely internally.

2. Seeking strategic advice from the vendor
An upper-dependence on software vendors that could cause conflicts of interest where the vendor siezes chance to get what they want (more sales) at the expense of what the organization needs (appropriate use of the software).

The most common example of this would be a solution where overselling OLAP cube reporting application will do a better job for users who are concerned. OLAP cubes provide the information summarized in the hierarchy, and there are many advantages to this, but the ease of reporting is not always one of them. In addition, the number of users for whom the appropriate OLAP cubes are almost always less than those who need a standard reporting applications.

3. Continuation of past
Doing things "like they always do" is the enemy of a good BI implementation. This can too often lead to attempts to cut the budget, and often result in inappropriate decisions, such as a report from a spreadsheet where what is needed is a fair assessment of delivery of BI tools that are available. The use of solutions that exist only because they're in place is a sure sign of flawed strategy, and is very important to be aware of the latest BI methodology and applications.

Changing the habits of a person is often not easy, and may require training, but a certain level of change needed if you want to maximize the benefits of BI for your organization.

4. Management of hot air balloons
When budgets start out of control, you start seeing a lot of pet projects thrown into the sea. This is what I call management by "hot-air balloon." Like a hot air balloon, remove the goods from the project makes a lot lighter and more buoyant. The problem is, this process also makes a lot of BI projects is less functional and effective.

The problem is, more often than not, failed to properly assess the project cost in the first place. Does the project have been split to start by making the cost more manageable? The message here is, better or less and give a promise, than promise the world and let people at home when reality hits the economy.

5. Information silos
A silo of information occurs when the data from one computer system can not communicate with each other. This is the kind of problems that the project Business Intelligence with a good strategic plan to identify and correct.

gross information is very costly to an organization because the benefits of hidden information within the organization to that part. This problem is usually solved by making the strategic decision to create and maintain a data warehouse. A data warehouse collates data from various places into a series of one or more''market data, in the process of reform and re-calculating the data to make it more useful for Business Intelligence.

6. Inaccurate metrics
Metric (I use that word as the BI vendors like Cognos IBM to use it) to monitor changes in the months in the performance and are often based on calculations of the various items of data. They can be inaccurate in several ways. For example, data can be entered incorrectly, or miscalculated because the metric is defined wrong. Or that his own calculations could be wrong. Often there is no single definition of metrics - a strategic mistake - or they may over-reliance on sources of data are inherently unstable, such as spreadsheets. This is a strategic mistake, because they can be overcome by policy decisions such as avoiding the spreadsheet input as possible and publish a dictionary metrics to the organization as a whole.

7. There is no sustainable development of BI systems.
Unlike, for example, accounting systems or CRM (customer relationship management) systems, Business Intelligence adds value to the system being reviewed and improved continuously. The project has a 'cycle' which involves the BI review your needs regularly. New metrics and KPIs (key performance indicators) are found, these need to be added to the data warehouse and made available to appropriate managers. New data mart that is not within the scope of the original project may come on board in later stages.

Article Source:
Copyright 2008 Clive Margolis, at http://www.acestar.co.uk/
http://EzineArticles.com/?expert=Clive_Margolis

microsoft business intelligence

2010-08-30T00:22:00.000-07:00

Microsoft business intelligence solutions build on your existing investments so employees gain access to accurate, up-to-date information for better, more relevant decision making.

The BI Solutions integrate the strengths of SQL Server, Sharepoint and Office on a single platform to empower informed decision-making that moves your business forward.

Further Information about microsoft business intelligence, you can acces at : http://www.microsoft.com/bi/

real time data warehousing

2010-08-25T13:19:00.000-07:00

Also known as active data warehousing, real time data warehousing is the process of storing and analyzing data across multiple types of storage systems. Companies tend to use this approach in an ongoing effort to maximize the benefits from various forms of business intelligence, especially in terms of positioning the company for growth through sales. By capturing the information that becomes available and the assimilation of data with historical information, it is possible to predict shifts in customer demand, and develop new marketing strategies that will attract new customers.

Basic process real time data warehousing requires transactional data added to the database, such as placing orders or invoicing system, immediately analyzed, classified, and linked to information that has been shed from the previous transaction. Ideally, the additional information will yield additional information that helps to show the trend in purchases of goods or services offered by the company, the generation of profits or losses.

With assimilation and the rate of transactions and other data occurs, companies can move more quickly to take advantage of the trends that have the potential to recover significant business. Because real-time data warehousing process automatically, no need for anyone to turn this trickle of data from various transactional databases to a central database in real time. So, it is possible to access bank information is updated every time, and using data for planning future projects or actions that will be in accordance with corporate interests.

The process of data mining in real time can also include automatic generation of reports tailored to the needs of end users. Design a data warehouse often allows users to select from a series of pre-programmed report formats, or use a tool built into the software package to create a special report that manage data in many ways. This versatile data warehouse architecture makes it easy for companies of various sizes and related to different areas to use the same basic software, but adjusts the use software in accordance with their respective needs.

Most real-time data warehousing package also allows on-demand report generation and also on the schedule you set. This can be very helpful, as they may submit a request for a sudden moment, and the answer in seconds or minutes. For example, if a sales manager presented with a question about the sales day today is along the lines of a particular product, he can only frame the query, has a software pull-up-to-minute data, and reports that provide information with ease. other conventional methods would require up to half an hour or more to manage what real time warehouses can be set in less than three minutes.

Article Source:
http://www.wisegeek.com/what-is-real-time-data-warehousing.htm