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Find out why MIS graduates are the ideal choice for BI positions; learn how to efficiently use resources such as hard disks, RAM, and CPU to enable strong analytics performance; read our experts' recommendations for big data projects; and more.
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 2014 BI Benchmark Report is based on a Web survey of 357 BI professionals conducted worldwide in spring and early summer 2014.
By Mark Giesbrecht
Presented in this issue are the 10 mistakes to avoid as you take your agile BI practice to the next level.
Put the customer first. The customer is king. Keep the customer satisfied. Those
familiar adages ring especially true in this issue of the Business Intelligence Journal.
By Fern Halper
This Ten Mistakes to Avoid covers what works and doesn’t work when it comes to big data analytics projects.
Average salaries rose 1.2 percent in 2013 for U.S. BI professionals. Read more in the 2014 TDWI Salary, Roles, and Responsibilities Report.
In this issue of the Business Intelligence Journal, we look at “big” and “small” from a variety of perspectives--from big data to BI on mobile devices. Plus, learn how game theory can be applied to data governance, about the rise of the BI smart machine, and more.
By Lyndsay Wise
This Ten Mistakes to Avoid addresses how to overcome communication gaps and use successful collaboration to help ensure successful BI implementations.
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.
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