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Ten Mistakes to Avoid


Ten Mistakes to Avoid When Setting Your Cloud Business Intelligence Strategy

Ten Mistakes to Avoid When Setting Your Cloud Business Intelligence Strategy

September 12, 2011

The upsides to cloud business intelligence are easy to identify, but like any other solution, you need a strategy before you begin your research to identify the right solution for your company. Skipping the due-diligence phase with cloud solutions can be just as costly as with traditional on-premises solutions.


Ten Mistakes to Avoid When Transforming Your BI/DW Department to Agile Methods

Ten Mistakes to Avoid When Transforming Your BI/DW Department to Agile Methods

June 20, 2011

To identify where many agile BI/DW practitioners and managers have erred, we will examine the 10 items found in the Agile Manifesto and consider ways to rethink or rebalance each concept as a path to an even more effective second decade of accelerated BI/DW programs.


Ten Mistakes to Avoid When Gathering Business Requirements

Ten Mistakes to Avoid When Gathering Business Requirements

March 21, 2011

Gathering requirements is the most critical step in any project, and certainly for a data warehouse project. A data warehouse should deliver an environment that empowers the business community rather than an application system that accurately performs specific business functions. This difference in approach will change the way you go about gathering requirements.


Ten Mistakes to Avoid When Using Data Federation Technology

Ten Mistakes to Avoid When Using Data Federation Technology

December 6, 2010

Data federation is a relatively new form of data integration, but it has achieved a significant role in today’s data management strategies. Data federation allows data integration teams to quickly create virtually integrated sets of data for many purposes—business intelligence (BI), customer relationship management (CRM), master data management (MDM), and so on.


Ten Mistakes to Avoid When Designing and Building Your MDM and Data Governance Initiative

Ten Mistakes to Avoid When Designing and Building Your MDM and Data Governance Initiative

September 13, 2010

Master data management (MDM) is all about change—and change is difficult. If you want your company to be different and respond quickly to signals from the outside world, internal changes, and master data opportunities, you know what you have to do. Dig in, dig deep, and become an MDM evangelist!


Ten Mistakes to Avoid In Predictive Analytics

Ten Mistakes to Avoid In Predictive Analytics

June 14, 2010

Predictive analytics is the goal-driven analysis of large data sets. A predictive analytics model is a surrogate for a human decision process within an organization; its goal is to target an organization’s resources for changes that enhance business objectives. This article presents 10 common mistakes organizations make when undertaking predictive analytics projects.


Ten Mistakes to Avoid When Driving BI Adoption and Managing Change

Ten Mistakes to Avoid When Driving BI Adoption and Managing Change

March 22, 2010

A successful BI program should not be judged solely on an organization's ability to develop and deploy a solution on time and within budget. Successful BI should be measured by the value and direct business impact it brings to the organization through its adoption and use by key stakeholders. After all, BI is about making information readily available to provide new insights, enable fact-based decisions, and improve actions.


Ten Mistakes to Avoid In Dimensional Design

December 7, 2009

In virtually every data warehouse implementation, you can find the products of dimensional design: the star schema, the snowflake, or the cube. Despite this near-universal acceptance, the basic principles of dimensional design are commonly misunderstood and misapplied.


Ten Mistakes to Avoid When Designing and Developing Operational BI Applications

September 1, 2009

Operational BI has had a dramatic impact on traditional BI environments and on a new audience of BI users. These users now have immediate access to the insights they need when making decisions about customers, products, and evencampaigns while these business activities are happening.


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Meet the Analysts

  • Philip Russom

    Philip Russom

    is senior manager of TDWI Research. He is a well-known figure in business intelligence, having worked as an industry analyst covering BI and related issues for Forrester Research, Giga Information Group, Hurwitz Group, and his own private BI practice. At TDWI, he specializes in data warehousing and data integration issues. He is the author of many in-depth reports and is a frequent speaker at TDWI conferences and Webinars; he is also chair of TDWI’s Solution Summit on Master Data Management. He can be reached at prussom@tdwi.org

    View a selection of Philip's contributions

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