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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Ten Mistakes to Avoid When Defining an Enterprise BI and Analytics Strategy

November 3, 2016

 

By Nancy Williams and Steve Williams

The benefits of business intelligence—and now big data analytics—may be couched in different business terms, but there has to be a connection to increased profits if there is to be a return on a BI investment. This Ten Mistakes to Avoid examines some of the key, commonly encountered BI strategy challenges faced by major companies across a wide range of industries.


Ten Mistakes to Avoid in NoSQL

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.


Ten Mistakes to Avoid in Data Storytelling

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.


Ten Mistakes to Avoid In Preparing for IoT Analytics

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.


Ten Mistakes to Avoid When Bridging the Business/IT Divide

Ten Mistakes to Avoid When Bridging the Business/IT Divide

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.


Ten Mistakes to Avoid When Delivering Business-Driven BI

Ten Mistakes to Avoid When Delivering Business-Driven BI

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.


Ten Mistakes to Avoid In an Agile BI Transformation

Ten Mistakes to Avoid in an Agile BI Transformation

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

Ten Mistakes to Avoid in Your Big Data Implementation

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.


Ten Mistakes to Avoid In Big Data

Ten Mistakes to Avoid in Big Data

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.


Ten Mistakes to Avoid when Gathering BI Requirements

Ten Mistakes to Avoid When Gathering BI Requirements

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.