The OLAP Survey 6 is now available

The sixth edition of The OLAP Survey is now available for purchase. The OLAP Survey 6 provides a thoroughly independent and unbiased account of the market's verdict on vendors, products, and corporate project success rates based on the responses of 1679 users worldwide. Quite simply, it is the definitive source of customer intelligence on the rapidly growing On-line Analytic Processing (OLAP) market. 数据挖掘研究院

To Download a free 26-page preview of The OLAP Survey 6, click here

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The OLAP Survey is not just a census of OLAP usage, but includes in-depth analysis of dozens of topics. This allows buyers of BI products to discover the proven reality of which products deliver the most business success, the best performance, the lowest costs and the least product problems. This real-world, non-anecdotal information is available nowhere else and is invaluable for any organization that wishes to maximize the chances of success of their BI deployments. 数据挖掘研究院

Individual and detailed analysis is included on 13 leading products: 数据挖掘研究院

• Microsoft Analysis Services
• Applix TM1
• Cognos Analysis
• MicroStrategy
• MIS
• Essbase
• SAP BW
• BusinessObjects
• OutlookSoft
• Orenburg Board MIT
• MIK OLAP
• Oracle OLAP products
• Hyperion Intelligence

Some of the many questions answered by The OLAP Survey 6 are: 数据挖掘研究院

• What business benefits does BI really bring? Has this changed over the last five years?
• Which applications are becoming more popular?
• Why do organizations buy particular products?
• Is there a better way of selecting products?
• Do projects that use industry analyst advice deliver more business benefits than others?
• Is it worth conducting formal multi-product competitive evaluations?
• Is there evidence for the widely proclaimed trend to standardize on fewer vendors and products?
• Is the shelfware problem getting worse?
• Are new versions of major products proving to be more or less problematic?
• Which products have the most 64-bit deployments?
• Which products and implementers deliver the most business benefits? Has this changed over the years?
• What is the typical ratio of consulting to license fees for major products?
• Which other factors have the greatest impact on the business benefits?
• How long do projects take to roll out and does it vary by product?
• Does implementation time affect project success?
• What problems occur, and what are the trends?
• Does the problem rate vary by product?
• What are the main barriers to wider deployment?
• Which products deliver the fastest performance?
• Are MOLAPs really faster than ROLAPs, even with comparable data volumes?
• Are data volumes really exploding like everyone says?
• Which are the most popular tools for users of each of the major databases? For example, do organizations using Oracle databases typically use Oracle front-end BI tools?
• Do UNIX-based OLAP implementations beat Windows?
• Can the business benefit of reduced latency be quantified?
• What are the typical license and implementation fees for each product?
• Do you get what you pay for? In other words, does spending more on license and consulting fees achieve greater business benefits?
• Do big customers get better product support?
• Are more BI applications being deployed on extranets?
• Are technology forecasts accurate?
• How loyal are customers to particular products and vendors?

As with previous editions, but unlike most other published surveys, The OLAP Survey 6 remains completely vendor-independent. This means that vendors had no influence over the questions and how the responses were analyzed and presented. All information provided is used only in aggregate form and is kept strictly confidential. 数据挖掘研究院

Click here to download a free 26-page preview of The OLAP Survey 6 数据挖掘研究院

Click here to purchase The OLAP Survey 6.

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Download a free 26-page preview

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Edition:

1

2

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3

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4

5

6 数据挖掘研究院

Growth in 2006

Date published

July 2001

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October 2002 数据挖掘研究院

November 2003 数据挖掘研究院

November 2004

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November 2005 数据挖掘实验室

November 2006

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Total pages 数据挖掘研究院

143 数据挖掘实验室

225

282

325 数据挖掘研究院

365

381

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+4%

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Editorial pages 数据挖掘研究院

109 数据挖掘研究院

192 数据挖掘研究院

248

288

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323 数据挖掘实验室

342 数据挖掘研究院

+6% 数据挖掘研究院

Total words

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32,125 数据挖掘实验室

52,257

66,374

74,139 数据挖掘研究院

81,333

83,950

+3% 数据挖掘实验室

Tables

36

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56 数据挖掘研究院

62 数据挖掘研究院

69

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72

78

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+8% 数据挖掘研究院

Charts

40

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79

113

131

150 数据挖掘研究院

157 数据挖掘实验室

+5% 数据挖掘研究院