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TDWI White Paper Library

TDWI is proud to maintain this library as a valuable resource for business intelligence and data warehousing professionals seeking to augment their knowledge of tools, solutions, and industry best practices. The content in this repository is created by our many partners in the BI/DW hardware, software, and consulting markets.

See the most recent white papers below.

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Data Integration and Quality - White Papers


Reaping the Benefits of Next-Generation Dashboards

Reaping the Benefits of Next-Generation Dashboards

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


Creating Business Value through Location-Based Intelligence

Creating Business Value through Location-Based Intelligence

Despite the growth in online and virtual commerce, any business transaction or event -- including sales, customer service, maintenance, and supply chain -- all happen at some set of locations.


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

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

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.


“Excuse Me, Have We Met Before?” How Knowledge-Based Customer Recognition Helps You Really Know Your Customers

“Excuse Me, Have We Met Before?” How Knowledge-Based Customer Recognition Helps You Really Know Your Customers

For a business, being unable to recognize a customer goes far beyond a faux pas. Inaccurate customer data -- failing to recognize customers -- leads to wasted resources, mediocre marketing efforts, and unhappy consumers.


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

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

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 Pragmatic Approach to Customer Master Data Management

Developing a Pragmatic Approach to Customer Master Data Management

In highly competitive markets, retaining existing customers is critical. During periods of rapid growth companies often focus more on new customer acquisition. In more trying times, however, most companies recognize that maintaining revenue flow depends on customer retention and up-selling. Benchmark research carried out by Ventana Research into customer data and information management shows that a major impediment to achieving these goals is the state of a company’s customer data.


For Data Integration, Performance is the New Mandate

For Data Integration, Performance is the New Mandate

New research from the BeyeNETWORK points out the many challenges faced by organizations trying to make their data integration tools do more while protecting and extending the economic value of their existing investments. In particular, the findings from more than 350 IT professionals sheds light on the negative impact that data integration performance problems place on organizations’ ability to achieve their critical business objectives, as well as other challenges they hope to overcome in order to derive greater value from those DI tools. Learn about the most pressing data integration challenges faced by companies today, the approaches they are taking to overcome them, and why performance is being used as the new benchmark for success.


Data Quality Trends and Adoption

Data Quality Trends and Adoption

While much of the growing interest in DQ solutions focuses on avoiding failure of data management-related initiatives such as business intelligence consolidations and enterprise application migrations, rescuing expensive and mission-critical enterprise software investments has been only the tip of the iceberg in fueling the most recent interest in DQ software. Organizations now look to DQ efforts to improve operational efficiencies, reduce wasted costs, optimize critical business processes, provide data transparency and auditability for compliance, and improve customer experiences, leading to higher loyalty and competitive differentiation. The breadth of goals tied to these initiatives is ever-increasing, raising the profile of DQ within the organization and compelling many decision makers to reach beyond custom-built solutions and seek vendor assistance to maximize their results.


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