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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.
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.
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.
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.
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