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Ten Mistakes to Avoid


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.


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 Validating Your BI DW Direction

Ten Mistakes to Avoid When Validating Your Business Intelligence or Data Warehousing Direction

March 19, 2012

 

By Jonathan G. Geiger

Jonathan Geiger describes 10 common errors to avoid as you validate your current business intelligence or data warehousing direction.


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Meet the Analysts

  • Philip Russom

    Philip Russom

    is director of TDWI Research for data management and oversees many of TDWI’s research-oriented publications, services, and events. Before joining TDWI in 2005, Russom was an industry analyst covering BI at Forrester Research, Giga Information Group, and Hurwitz Group. He also ran his own business as an independent industry analyst and BI consultant and was a contributing editor with leading IT magazines. Before that, Russom worked in technical and marketing positions for various database vendors. He can be reached at prussom@tdwi.org

    View a selection of Philip's contributions
  • David Stodder

    David Stodder

    is director of TDWI Research for business intelligence. He focuses on providing research-based insight and best practices for organizations implementing BI, analytics, performance management, data discovery, data visualization, and related technologies and methods. He is the author of recent TDWI Checklist Reports on data discovery and information management, and an upcoming Best Practices report on mobile BI and analytics. Stodder has provided thought leadership on BI, information management, and IT management for over two decades. Previously, he headed up his own independent firm and served as vice president and research director with Ventana Research. He was the founding chief editor of Intelligent Enterprise and served as editorial director for nine years. He was also one of the founders of Database Programming & Design magazine and directed the Database Summit Series conferences. He can be reached at dstodder@tdwi.org

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  • Fern Halper

    Fern Halper

    is director of TDWI Research for advanced analytics, focusing on predictive analytics, social media analysis, text analytics, cloud computing, and other “big data” analytics approaches. She has more than 20 years of experience in data and business analysis, and has published numerous articles on data mining and information technology. Halper is co-author of “Dummies” books on cloud computing, hybrid cloud, service-oriented architecture, and service management, and is currently completing Big Data for Dummies (to be published in April 2013). She has been a partner at industry analyst firm Hurwitz & Associates and a lead analyst for AT&T Bell Labs. Her Ph.D. is from Texas A&M University. You can reach her at fhalper@tdwi.org, or follow her on Twitter: @fhalper

    View a selection of Fern's contributions

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