TDWI | Training & Research | Business Intelligence, Analytics, Big Data, Data Warehousing

Ten Mistakes to Avoid When Creating Your Data Strategy
TDWI Member Exclusive

November 12, 2013

 

By Mark Madsen

Data strategy focuses on how data can be used as a resource to further the goals of a business strategy. This means building capabilities: treating data as an asset, organizing to make better use of it, and building the necessary management and technology infrastructure. There are many ways to build capabilities. Choices impose constraints and trade-offs, which are the essence of crafting a set of policies, procedures, and plans that make up a data strategy. This Ten Mistakes to Avoid focuses on many common mistakes we make when crafting a data strategy.

Ten Mistakes to Avoid in an Agile BI Transformation
TDWI Member Exclusive

May 13, 2013

 

By Ken Collier, Ph.D.

In my work with dozens of BI teams attempting to “go agile,” I’ve seen lots of mistakes. This Ten Mistakes to Avoid outlines the most common and recurring errors to help you avoid repeating the mistakes of others.

Ten Mistakes to Avoid in Your Big Data Implementation
TDWI Member Exclusive

February 19, 2013

 

By Krish Krishnan

In this Ten Mistakes to Avoid, we will look at the most common mistakes that occur when implementing a big data program to help you enhance your analytical insights and the decision support processes in your enterprise.

2012 TDWI BI Benchmark Report: Organizational and Performance Metrics for Business Intelligence Teams
TDWI Member Exclusive

September 17, 2012

 TDWI’s annual BI Benchmark Report enables business intelligence (BI) teams to compare themselves to their peers on a series of organizational and performance metrics. The 2012 BI Benchmark Report is based on a Web survey of 410 BI professionals conducted worldwide in spring and early summer 2012.