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.


Ten Mistakes to Avoid When Building a Sustainable Agile BI Practice

Ten Mistakes to Avoid When Building a Sustainable Agile BI Practice

August 18, 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.


Ten Mistakes to Avoid in Big Data Analytics Projects

Ten Mistakes to Avoid in Big Data Analytics Projects

May 12, 2014

 

By Fern Halper

This Ten Mistakes to Avoid covers what works and doesn’t work when it comes to big data 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 Creating Your Data Strategy

Ten Mistakes to Avoid When Creating Your Data Strategy

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 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 Data Resource Management

Ten Mistakes to Avoid in Data Resource Management

December 7, 2012

 

By Dave Wells

Data is an essential business resource that is as critical to business success as financial and human resources are. The disciplines of data resource management include strategy, architecture, and governance. Mistakes to avoid in data resource management span all three disciplines.


Ten Mistakes to Avoid When Adopting Emerging Technologies in BI

Ten Mistakes to Avoid When Adopting Emerging Technologies in BI

September 17, 2012

 

By John O'Brien

These 10 mistakes to avoid center around three key themes: identifying transformational or disruptive technologies, minimizing and managing risk to the overall program, and maintaining a continuing balance in business intelligence (BI) programs.