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NOV 19, 2010 11:39am ET

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Proposed Themes for BI Trends 2011 Research

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Forrester's recent report on Top 15 Technologies To Watch In 2011 once again proved that BI is front and center of everyone's agendas. We indeed continue to see unrelenting interest and ever increasing adoption levels of BI platforms, applications, and processes. 

But while BI maturity in enterprises continues to grow, and BI tools become more function rich and robust, the promise of efficient and effective BI solutions remains quite challenging at best, and elusive at worst.

Why? Two main reasons. BI is all about best practices and lessons learned, which only come with years of experience. Additionally, traditional BI technologies (ETL, data warehousing, reporting, OLAP) have not kept pace with the ever changing business and regulatory requirements.

In a work-in-progress research document, building on a last year's relevant blog post on next gen BI, we plan to review top best practices and next generation BI technologies for our clients to watch and adopt in 2011 in order to improve their chances to deliver successful BI initiatives. Here's the proposed document outline and major themes:

Best Practices to Adopt in 2011

  • Emphasis on business ownership and Data Governance
  • Combining top down Performance Management, with bottom up approaches
  • Emphasis on Change Management
  • Loosly coupling Data Preparation vs. Data Usage
  • Different treatments for Front vs. Back Office users and applications
  • Using Hub and Spoke Model for data architecture and organizational structures  
  • Using Agile Development methodology
  • Working with SMEs
  • Using BI on BI and aligning BI with Incentive Comp
  • Achieving Tangible BI ROI
  • Providing Self Service capabilities to end users

Next Generation BI Technologies to Implement in 2011

Technologies to make BI more automated

Technologies to make BI more unified

  • Logically unifying data sources
  • Unifying structured data and unstructured content
  • Unifying disk and streaming data
  • Unifying historical, current and predictive analysis
  • Unifying complex data structures
  • Unifying BI, DW, ETL and ERP metadata

Technologies to make BI more pervasive

  • BI within processes
  • BI within Information Workplace
  • Self service which includes BI SaaS
  • Offline/disconnected
  • Mobile

Technologies to reduce BI limitations

  • Adaptive data models
  • Unlimited dimensionality
  • Exploration + analysis
  • Elasticity via cloud

And last, but not least

  • Technologies to enable BI self service
  • Technologies to make BI more agile

What did Forrester miss? Would love to hear from you.

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Comments (1)
First, I completely agree withe the comment made above being; while BI maturity in enterprises continues to grow, and BI tools become more function rich and robust, the promise of efficient and effective BI solutions remains quite challenging at best, and elusive at worst. The reason for this is the basis of virtually all established existing BI technologies is they are 30 + years old relying on rigid methods such as SQL and OLAP which do not easily scale to match our insatiable apetite for information, which is becoming more and more ad hoc and on demand. We see the future of BI being one of self service for business users (not IT) but this requires a technology shift. We see search technology at the heart of future BI stacks to solve the problems of scale, usability and flexibility.
Posted by Chris F | Wednesday, November 24 2010 at 12:09PM ET
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Blog Archive for Boris Evelson

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