TDWI Business Intelligence Journal, Volume 17, Number 2

Business Intelligence Journal | Vol. 17, No. 2

June 18, 2012

In this issue, we look at how the ABCs of BI can help you take advantage of the latest trends.

A is for Advanced Analytics. Not long ago we were talking about pervasive BI—the use of business intelligence across an organization. Now, senior editor Hugh J. Watson takes that discussion a step further, examining four key requirements your enterprise must fulfill if it is to succeed with predictive and prescriptive analytics—that is, advanced analytics. The requirements are similar to pervasive BI, but as Watson points out, the devil is in the details.

In fact, the adoption of advanced analytics can cause serious coordination problems. For our BI Experts’ Perspective column, we asked Jim Gallo, Jane Griffin, Matt McGivern, Donna Najafi, and Nancy Williams to advise a large cosmetics manufacturer as it struggles to coordinate independent advanced analytics activities in a number of departments.

Ralph Thomas also focuses on analytics, explaining how those of us with limited budgets and authority can enable our companies to successfully leverage analytics—translating ideas into action.

A is also for Appliances. Oliver Halter, Salvatore Passariello, and Ritesh Ramesh look at how to move to new technology successfully by examining 10 potential pitfalls you must avoid when you select a data appliance platform. The authors note that such “replatforming” is much more complex than simple data migration, and they suggest ways to mitigate risks, overcome problems, and meet your project objectives.

B is for Big Data. Many organizations are seeking to take advantage of big data to improve their competitive positions or customer service. Mohammad Nasar and Jason V. Bomers explain how we can finally harness big data to deal with another longtime concern: regulatory compliance.

C is for Context. How often have you remarked that a quotation was taken out of context? When it comes to maximizing your BI investments, Troy Hiltbrand advocates marrying context to information to enhance understanding and bring smarter and more valuable information to users—ensuring that the right people receive the right information at the right time. Speaking of time, René Doucet discusses how adding bitemporal data to your dimensional model will give an enterprise a more complete and accurate view of data, as well as improve data queries and make it easier to understand data without including complicated logic.

F is for Feedback. Yes, we skipped a couple of letters, but we’re always interested in your thoughts. Please send your comments to

James E. Powell
Editorial Director
Business Intelligence Journal

  • The Requirements for Being an Analytics-Based Organization
    Hugh J. Watson
  • Context-Enabled Business Intelligence
    Troy Hiltbrand
  • Business Intelligence and Data Warehousing on a Limited Budget
    Ralph Thomas
  • Data Appliance Platform Selection and Delivery: 10 Pitfalls You Must Avoid
    Oliver Halter, Salvatore Passariello, and Ritesh Ramesh
  • BI Experts’ Perspective: New Analytics Talent
    Jim Gallo, Jane Griffin, Matt McGivern, Donna Najafi, and Nancy Williams
  • Data Management and Financial Regulation: Using a Big Data Approach to Regulatory Compliance
    Mohammad Nasar and Jason V. Bomers
  • A Strategy for Storing Bitemporal Data in the Dimensional Model
    René Doucet
  • BI StatShots

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