Ten Mistakes to Avoid
The Ten Mistakes to Avoid series, published quarterly, addresses the 10 most common mistakes managers and teams make—from data modeling to building an operational data store—and gives you inside knowledge on how to avoid these common pitfalls. Ten Mistakes to Avoid is exclusively for TDWI Premium Members.
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August 2, 2016
By William McKnight
For companies seeking to exploit data to their advantage, NoSQL is a perfect storm of need and solution. Nevertheless, its implementation isn't without hurdles. When reviewing successes and failures, it is clear that some good practices have been overlooked. This Ten Mistakes to Avoid identifies the mistakes with the biggest impact on NoSQL implementation success and recommends applicable solutions.
May 5, 2016
By Dave Wells
Data storytelling takes the next step beyond data visualization by connecting multiple visuals with narrative, offering interpretation, and inviting conversation. Crafting a good data story, however, is challenging. This Ten Mistakes to Avoid offers guidance to advance your storytelling skills and increase the impact of your data stories.
March 7, 2016
By Fern Halper and Asim Razvi
The Internet of Things (IoT)—a network of connected devices that can send and receive data over the Internet—is a hot market topic. Although many companies are excited about the possibility of improving operational efficiencies and driving new business models with IoT, this Ten Mistakes to Avoid identifies important factors to consider when getting ready for IoT analytics projects.
February 18, 2014
By Lyndsay Wise
This Ten Mistakes to Avoid addresses how to overcome communication gaps and use successful collaboration to help ensure successful BI implementations.
August 19, 2013
By Laura Reeves
The most successful BI solutions are those whose design and subsequent use are driven by the business itself. This is much easier said than done. Too often, what is delivered is not well received by the business community, or worse, met with disappointment or resistance. The most common mistakes, and tips for avoiding them, are explained here.
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.
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.
June 18, 2012
By Marc Demarest
Marc Demarest takes a look at the 10 most common missteps and fatal actions he’s seeing now as the big data revolution gets under way.
September 9, 2008
Getting the right requirements is challenging. A broad scope brings challenges of complexity, uncertainty, and volatility. Yet getting the right requirements is critical to BI success. The following 10 mistakes to avoid will help you meet the challenges of BI requirements gathering.