TDWI Channel - Data Warehousing

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.

Top 10 Trends in Business Intelligence for 2012

Thu, 24 May 2012 23:20:32 GMT

Business intelligence (BI) has been a hot topic for years. The acceleration of data volumes, desire by business users to tap this data for insight, and the overall pressure on organizations to do more with less is putting a spotlight on what BI can do for a company like never before.

BI Experts: Close Encounters with Customers: 3 Steps to Success

Tue, 01 May 2012 07:00:00 GMT

Three recommendations for improving customer intelligence and engagement.

Letter from the Editorial Director

Tue, 01 May 2012 07:00:00 GMT

Cost-Effective Business Intelligence as a Service

Tue, 01 May 2012 07:00:00 GMT

This paper highlights key requirements for successfully building and deploying SaaS-based BI applications for external users, and how some companies are using the WebFOCUS BI platform to make vital, timely corporate information available outside the firewall.

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.

Solution Providers

Tue, 01 May 2012 07:00:00 GMT

Data Management Defined

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.

HBMP: The New Frontier of In-Memory Business Intelligence and CPM

Sat, 28 Apr 2012 07:00:00 GMT

BOARD's approach to in-memory technology started with a precise goal: to exploit the full potential of in-memory computing in terms of better performance without sacrificing the flexibility, scalability, total cost of ownership, and ability to effectively support the simulation and planning processes.

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.

BI Experts: Validating Your Data Warehouse Direction

Tue, 10 Apr 2012 07:00:00 GMT

Technology changes are helping us analyze growing data volumes. Our data warehousing architecture must remain flexible, and frequent validation of user requirements and data usage will help us achieve this goal.

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.

The Confusing Future of BI and Data Warehousing

Tue, 27 Mar 2012 07:00:00 GMT

Thanks to a combination of social, mobility, cloud, Big Data, and other forces, business intelligence and data warehousing are on the cusp of profound transformations. The question is: which way are these technologies headed?

Busting 10 Myths about Hadoop

Tue, 20 Mar 2012 07:00:00 GMT

Hadoop is still misunderstood by many BI professionals.

Ten Mistakes to Avoid When Validating Your Business Intelligence or Data Warehousing Direction

Mon, 19 Mar 2012 07:00:00 GMT

Jonathan Geiger describes 10 common errors to avoid as you validate your current business intelligence or data warehousing direction.

Why IBM Wants to Put Mainframes at the Center of BI

Tue, 21 Feb 2012 07:00:00 GMT

IBM asks the not-so-obvious question: If you already have a mainframe in-house, why not make it the centerpiece of your business intelligence and data warehouse efforts?

5 Macro Trends Shaping Next-generation BI and Analytics

Tue, 07 Feb 2012 07:00:00 GMT

The traditional BI stack has failed. What's next?

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.

Q&A: Analytics, Unstructured Data, and the Growth of Social Media

Tue, 24 Jan 2012 07:00:00 GMT

What are the common misperceptions about unstructured data are explored, and how can this data be exploited for game-changing insights?

From the BI Scorecard: The Year Ahead in BI and a Look Back on 2011 Highlights

Wed, 18 Jan 2012 07:00:00 GMT

From in-memory to visual discovery, big data to mobile and cloud BI -- and more -- what's ahead for BI professionals in 2012.

Lean Data Warehousing: How to Eliminate Waste and Boost Performance in Less than 90 Days

Tue, 17 Jan 2012 21:33:44 GMT

Lean data warehousing is a process of monitoring and assessing business activity and data usage to deliver increased operational efficiency, ensure scalability of both infrastructure and available IT resources and reduce data management costs.

Usage Monitoring for Lean Data Warehousing

Tue, 17 Jan 2012 21:25:56 GMT

Q&A: Moving Beyond Traditional Data Virtualization

Tue, 17 Jan 2012 07:00:00 GMT

Composite Software VP Robert Eve has co-written a new book on data virtualization. In this interview, he describes going beyond traditional data virtualization and discusses some of the lessons from the book's 10 high-profile case studies.

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.

A Big Year Ahead for Big Data and Hadoop

Tue, 10 Jan 2012 07:00:00 GMT

During 2011, Hadoop became more reliable with better performance in new commercial distributions. In 2012, Hadoop will become easier to use and manage.

BI 2012: The Future that has Already Happened

Tue, 10 Jan 2012 07:00:00 GMT

Eight current trends that yield insight into BI's future.

A Guide to Successfully Deploying Enterprise Mobile Applications

Thu, 05 Jan 2012 21:52:38 GMT

Why are so many companies launching mobile applications? The growth of mobility in the enterprise has been an eventful journey so far. In only a short time, it has moved from the preserve of senior executives and dedicated mobile field staff to have a much wider applicability as workers across functions and job roles bring their personal mobile technologies to work.

TDWI Checklist Report // Hadoop: Revealing Its True Value for Business Intelligence

Tue, 13 Dec 2011 07:00:00 GMT

This Checklist Report clarifies the common points of confusion about Hadoop and its extended ecosystem and reveals the true value of Hadoop for BI, DW, big data, and analytics.

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

Fri, 02 Dec 2011 07:00:00 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. Ensuring the EDW will get the desired performance and will scale out as your data grows you need to get three fundamental things correct: the hardware configuration, the physical data model, and the data-loading process. By correctly designing these three cornerstones, you will be able to create an EDW that can seamlessly scale without constant tuning or tweaking of the system.

Analytic Workloads: Which Data Warehouse Architecture Is Right for You?

Tue, 29 Nov 2011 07:00:00 GMT

The number of workloads for analytics has increased significantly in recent years. This is because more user organizations than ever before are using advanced forms of analytics, including complex SQL, data mining, and statistical analysis.