TDWI Channel - Data Management

Leveraging Emerging Architectures to Harness Big Data for Business Value

Wed, 11 Jul 2012 07:00:00 GMT

At present there is significant industry attention around big data and big data analytics. At the same time, considerable confusion exists about what business applications can benefit from big data, as well as the technologies needed to deliver the promise.

Establishing a Data Quality Strategy

Wed, 27 Jun 2012 07:00:00 GMT

All companies – small, medium, and large – need quality information to support their operational activities and business intelligence environments. The desired level of quality doesn’t just happen. It requires recognition of data as an asset and a commitment by both business and IT areas to governing and managing its content and the processes handling it.

Leveraging Business Metadata for Trusted Information in Data Warehousing and Business Analytics

Thu, 21 Jun 2012 07:00:00 GMT

The need for making quality decisions rapidly is powering the broader integration of business intelligence and algorithmic analytics into operational business processes across the enterprise, up and down the management chain.

How Data Governance Fosters the Evolution of Data Quality and MDM Initiatives

Wed, 20 Jun 2012 07:00:00 GMT

There are good reasons why data governance (DG) has become a critical success factor for a number of life-cycle stages within data quality (DQ) and master data management (MDM) initiatives.

Getting Started with Data Governance

Thu, 14 Jun 2012 07:00:00 GMT

At one end of the spectrum, many organizations initiate data governance programs because of pressing compliance issues that impact data usage. At the other end of the spectrum, some organizations begin by governing data that’s shared broadly through a variety of data integration and application integration technologies.

Real Time Business Insight from Big Data

Tue, 12 Jun 2012 07:00:00 GMT

For those of us in IT and especially BI, there’s nothing more exciting than seeing practices and technologies come together in a new combination, to support enterprise business in a new way. At the moment, we are seeing such a confluence of practices and technologies for real time, analytics, big data, and in-memory processing.

Data Analytics and Interactive Gaming - Opportunities to Influence Consumer Behavior

Tue, 22 May 2012 07:00:00 GMT

Tween interactive social world such as Club Penguin, Webkinz, Poptropica, and numerous others provide environments for children to play games, interact with each other, earn virtual money, and spend that virtual money on a variety of items.

Real-Time Data Integration: An Infrastructure That Enables Fast-Paced Business

Wed, 16 May 2012 07:00:00 GMT

According to TDWI’s Next Generation Data Integration survey, the types of data integration functionality that are seeing the hottest adoption and growth today are those forms that involve real-time operation.

Letter from the Editorial Director

Tue, 01 May 2012 07:00:00 GMT

Busting 7 Myths about Data Quality Management

Tue, 01 May 2012 07:00:00 GMT

This paper, written by David Loshin of Knowledge Integrity, Inc., highlights some of the most common myths about data quality management and guides the reader in developing an effective DQM strategy.

Solution Providers

Tue, 01 May 2012 07:00:00 GMT

Data Management Defined

Tue, 01 May 2012 07:00:00 GMT

Making Change Easy: A Canonical Approach to Risk Management in Data Integration

Tue, 01 May 2012 07:00:00 GMT

Creating a Single Patient View at Mount Sinai Medical Center: Top Medical Facility Relies on Information Builders to Support Meaningful Use by Synchronizing Registration Systems

Tue, 01 May 2012 07:00:00 GMT

Amazon.com Deploys Data Integration Solution to Minimize Risk and Complexity in Its Service-Oriented Architecture

Tue, 01 May 2012 07:00:00 GMT

The Next Generation of Data Integration for Data Warehousing

Tue, 01 May 2012 07:00:00 GMT

Data integration has long been the most fundamental challenge in delivering a data warehouse, and while the technology has evolved, the cost of delivering the data integration tasks has remained the most time-consuming and labor-intensive deliverable in any data warehouse project.

A Couple of Common Data Quality Myths

Tue, 01 May 2012 07:00:00 GMT

Real-Time and Big Data Challenge Data Management Best Practices

Tue, 01 May 2012 07:00:00 GMT

The incremental movement toward real-time operation is the most influential trend today in data-driven IT disciplines, such as business intelligence (BI), data warehousing (DW), and data integration (DI). From a technology viewpoint, collecting, processing, and delivering data is hard enough; doing it in real time is downright herculean.

Ten Goals for Next Generation Data Quality

Tue, 01 May 2012 07:00:00 GMT

Best Practices for Achieving the Connected Enterprise

Tue, 01 May 2012 07:00:00 GMT

We live in a world that is always on, always active, always connected. Now more than ever, it is imperative that enterprises stay electronically connected with their key stakeholders—business partners, customers, employees, investors—so that they’re always on, always active.

Addressing the Business Impact of Data Performance Problems: Non-Disruptive Strategies for Existing Data Integration Environments

Wed, 25 Apr 2012 07:00:00 GMT

Data performance problems occur within even the most carefully planned and well-executed data integration environments, and these problems can impact the entire business if they are not properly addressed. This white paper examines common approaches to addressing data performance problems and provides examples of how Data Integration Acceleration solutions cost-effectively boost data performance within organizations’ existing current DI environments.

Reaping the Benefits of Next-Generation Dashboards

Tue, 24 Apr 2012 21:39:03 GMT

The need for timely and succinct business intelligence continues to grow as executives demand critical information to seize opportunities faster than competitors and address potential problems in the making. It is not just C-level executives and upper management who need access to business intelligence.

Taking Data Integration to the Next Level: Techniques for Right-Time Data Delivery and Integration

Thu, 12 Apr 2012 07:00:00 GMT

Historically, the demands of independent business processes led to the development of applications with a focus on satisfying immediate functional or operational requirements.

Three Steps to Successful Data Integration

Tue, 10 Apr 2012 07:00:00 GMT

This three-step approach will help you establish or reenergize your DI development projects.

Next Generation Master Data Management

Tue, 10 Apr 2012 07:00:00 GMT

Master data management (MDM) is one of the most widely adopted data management disciplines of recent years. That’s because the consensus-driven definitions of business entities and the consistent application of them across an enterprise are critical success factors for important cross-functional business activities.

Big Data and Your Data Warehouse

Thu, 05 Apr 2012 07:00:00 GMT

Just a handful of years ago, Big Data was a problem in terms of scaling up IT systems and discovering the business value. Thanks to advances in vendor platforms and user practices, most enterprises today consider Big Data an opportunity – not a problem – because they can mine it and analyze it for valuable business insight.

Next Generation Master Data Management

Mon, 02 Apr 2012 07:00:00 GMT

Master data management (MDM) is one of the most widely adopted data management disciplines of recent years. This report accelerates users’ understanding of the many new user best practices, solutions, and tools that have emerged as next generation MDM. It also helps readers map their options to real-world use cases and develop a strategy for MDM.

TDWI Checklist Report: Data Replication for Real-Time Data Warehousing and Analytics

Mon, 02 Apr 2012 07:00:00 GMT

This TDWI Checklist Report gives data replication the recognition it deserves, as a highly useful data integration technique for real-world applications in business intelligence (BI), data warehousing (DW), analytics, and general data management. But not all replication tools are created equal, and this report explains which capabilities you should look for in a tool.

Next Generation Master Data Management: Executive Summary

Mon, 02 Apr 2012 07:00:00 GMT

Business Intelligence Journal | Vol. 17, No. 1

Mon, 19 Mar 2012 07:00:00 GMT

Democratic Analytics: Learn how two organizations succeeded in putting BI in users’ hands. The 2020 Workplace: “Swarming,” “hyperconnectedness,” and other BI trends of the future. Strong Leadership: Why it’s essential for data integrity.

How to Sell a Data Quality Project

Tue, 13 Mar 2012 07:00:00 GMT

It’s a tough time to cost-justify BI projects and get buy-in from upper management. Here’s how to get your data quality project approved.

Are Data Integration Vendors Responding to Pricing Concerns?

Tue, 06 Mar 2012 07:00:00 GMT

Vendors appear to be making an effort to address concerns about how they price their data integration tools. Will their efforts result in meaningful savings?

Ranking the DI Players

Tue, 28 Feb 2012 07:00:00 GMT

There's plenty of competition in the fractious data integration market.

TDWI's Best of Business Intelligence Volume 9

Wed, 01 Feb 2012 07:00:00 GMT

In this issue of the Best of Business Intelligence, Stephen Swoyer calls 2011 “the year in which social media emerged as one of several forces … that will fundamentally transform BI as we know it.” Plus, TDWI Research analysts Philip Russom and David Stodder share predictions for 2012.

BI Experts: Why Enterprise Data Strategies Must Support Business Goals

Tue, 24 Jan 2012 07:00:00 GMT

Success with enterprise business goals demands strategies for enterprise data.

BI Experts: Good Data Strategy is Good Business Strategy

Tue, 10 Jan 2012 07:00:00 GMT

Director of TDWI Research David Stodder looks at three major trends that he sees shaping the development of data strategies.

Building a Best-Run Finance Organization: A New Role to Address Today’s Business Realities

Thu, 05 Jan 2012 21:41:43 GMT

There is a company executive with a growing influence in today’s boardroom -- the chief financial officer -- and the role of the finance organizations these executives lead is expanding as well. Although the advent of the Sarbanes-Oxley Act has focused enormous attention on the financial accountability and internal controls of companies across all industries, company executives recognize that individual business activities do not occur in a vacuum.

Mobile Business Intelligence and Analytics: Executive Summary

Wed, 28 Dec 2011 07:00:00 GMT

Mobile Business Intelligence and Analytics: Extending Insight to a Mobile Workforce

Wed, 28 Dec 2011 07:00:00 GMT

Excitement is growing among business users about how they could use mobile devices to transform the role of information in customer interactions, performance management, planning and forecasting, and their daily operational decisions while on the go. This report examines the impact of mobile computing on the development, management, and implementation of applications and services for business intelligence and analytics.

That Was the Year That Was: Major Data Warehousing Events of 2011 (Plus Predictions for 2012)

Tue, 13 Dec 2011 07:00:00 GMT

How well did analyst Mike Schiff predict DW trends for 2011, and what's in store for next year?

Seven Keys to High-Performance Data Management for Advanced Analytics

Mon, 12 Dec 2011 07:00:00 GMT

This monograph focuses on how organizations can align data management practices and technologies with requirements for advanced analytics. Focusing on seven key steps, it explores how organizations can use high-performance computing options to support advanced analytics through in-database processing, in-memory analytics, event processing, and alternative approaches to data transformation and integration.

Transitioning Enterprise Data Architecture Using Actionable Metadata

Thu, 08 Dec 2011 07:00:00 GMT

Over the years, metadata can be compared to daily vitamins – people have invested in its management without necessarily knowing whether it does any good.

Business Intelligence Journal | Vol. 16, No. 4

Mon, 05 Dec 2011 07:00:00 GMT

Exploring the power of master data management with social media data; moving to real-time BI; pervasive BI; agile project management; and more.

Best Practices for Implementing a Data Warehouse on the Oracle Exadata Database Machine

Fri, 02 Dec 2011 21:48:43 GMT

Increasingly, companies are recognizing the value of an enterprise data warehouse (EDW). A true EDW provides a single 360-degree view of the business and a powerful platform for a wide spectrum of business intelligence tasks, ranging from predictive analysis to near-real-time strategic and tactical decision support throughout the organization.

Developing a Data Quality Strategy

Thu, 01 Dec 2011 07:00:00 GMT

ETL 2.0: The Imminent Evolution of ETL

Wed, 16 Nov 2011 07:00:00 GMT

Most ETL environments were designed for the business requirements of at least ten years ago – before the number of data sources, applications and use-cases exploded, and before the demands of Big Data, social media and mobile technology were added to the mix.