Intelligent Enterprise Top-20 Stories of 2007 - InformationWeek

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12/17/2007
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Intelligent Enterprise Top-20 Stories of 2007

Trend stories, how-tos and reviews. Visitors to Intelligent Enterprise depend on all of the above, as proven by our list of the top-20 most-read stories of 2007. The roster includes perennial favorites, like the "Kimball University" series on better data warehousing, as well as forward-looking analyses, like Neil Raden's treatise on BI 2.0, and in-depth reviews, like Cindi Howson's tests of new BI products. Read on to catch the gems you might have missed.

Analysts and pundits may look back on 2007 as a sea-change year, with its rampant consolidation, but the readers of Intelligent Enterprise were unfazed. Scan the list of our Top-20 stories of 2007 and you won't find a single headline about a vendor mega deal. What readers wanted, as measured in Web site page views, was forward-looking analysis, how-to advice and insightful product reviews. It has been that way since Intelligent Enterprise was launched 10 years ago and embraced the mission of helping organizations to live up to the name.

We kicked off 2007 with what turned out to be our most popular trend-analysis article of the year, "Seven Trends for 2007." How could this six-author forecast help but draw interest given the compelling themes ranging from the looming Baby Boomer brain drain to the impact of multi-core processors on computing architectures. Notable contributors included Michael McClellan, Neal McWhorter and David Patterson. Another top trendspotter (taking the number- three slot) was Neil Raden with his "Business Intelligence 2.0: Simpler, More Accessible, Inevitable," a cage-rattling treatise on what BI can be in the years to come (or should be now, as Neil would have it).

In the how-two advice vein, "Kimball University" retained its perennial-favorite status, racking up six of the top-20 positions with much sought-after advice on better data warehousing. In fact, how-to-oriented articles took eight of the top 20 spots, with Joe Celko adding his sage (if offbeat) advice on SQL programming and Barbara von Halle, doyenne of business rules management, offering her "Five-Steps to an Agile Enterprise."

Product-oriented insight rounded out our favorites, with Cindi Howson's "Put to the Test" reviews of Microsoft Report Builder and Oracle BI Enterprise Edition topping the list of most-popular reviews. Product-focused articles also drew interest, with "PerformancePoint At Last" and "A Closer Look at Oracle 11g" cracking the top-20 list.

We'll continue to let your clicks tell us the type of content that serves you best, but we'll also explore emerging topics and technologies that will drive the Intelligent Enterprise. In 2007, for example, exploratory articles on data warehouse appliances and complex event processing scored big with our readers. Will SaaS, text-mining or operational BI be the story of 2008? Stay tuned to find out. Meanwhile, here's the full list of our 20 most-read stories of 2007:

  1. Seven Trends for 2007
  2. Readers' Choice Awards
  3. Business Intelligence 2.0: Simpler, More Accessible, Inevitable
  4. Dimensional Relational vs. OLAP: The Final Deployment Conundrum
  5. The State of Business Intelligence
  6. Business Process Management 101: How to Choose the Right BPM Suite
  7. Think Critically When Applying Best Practices
  8. Pick the Right Approach to MDM
  9. Put to the Test: Microsoft Report Builder
10. The Subsystems of ETL Revisited
11. PerformancePoint at Last: Q&A With Microsoft's Alex Payne and Michael Smith
12. Natural, Artificial and Surrogate Keys Explained
13. IDC Reports on BI Sales: Which Vendors are Hot?
14. Overcoming Obstacles When Gathering Business Requirements
15. A Closer Look At Oracle's 11g Database Release
16. The Rule Maturity Model: Five Steps to an Agile Enterprise
17. Business Intelligence and Excel: Happily Married?
18. Data Warehouse Appliances Serve Up Information by the Gulp
19. Put to the Test: Oracle BI Enterprise Edition
20. Real-Time Ambition: Reaching the Potential of Event Stream Processing

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