NEXT GENERATION BUSINESS ANALYTICS TECHNOLOGY TRENDS TECHNOLOGIES AND TECHNIQUES FOR BUSINESS INTELLIGENCE & PERFORMANCE MANAGEMENT This work is licensed under the Creative Commons Attribution-Share Alike 3.0 Unported License. To view a copy of this license, visit http://creativecommons.org/licenses/by-sa/3.0/ .
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Next Generation Business Analytics Technology Trends
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NEXT GENERATION
BUSINESS ANALYTICS TECHNOLOGY TRENDS
TECHNOLOGIES AND TECHNIQUES
FOR
BUSINESS INTELLIGENCE & PERFORMANCE MANAGEMENT
This work is licensed under the Creative Commons Attribution-Share Alike 3.0 Unported License.To view a copy of this license, visit http://creativecommons.org/licenses/by-sa/3.0/.
“there are $8B (yes, billion) of internally developed analytic applications with Excel as their front end. The BI players treat the output to Excel as a feature” [3]
• Level of granularity
Transaction data is summarized and aggregated for analysis
• Historical context
Technical constraints often lead to less than optimal data retention
• Consolidated view
Data warehouses often focus on closely related systems, not enterprise views
Multiple disparate data silosWebsites and ecommerceSupply chainEnterprise resource planning (ERP)CRMFinancialOther, e.g., weather, competitor, etc.
CHALLENGES FOR CURRENT BA ENVIRONMENTS
Organizations struggle to aggregate sufficient breadth and depth of data for thorough Business Analytics
SAP, Oracle, and IBM purchased three major BI vendors (Business Objects, Hyperion, and Cognos) within months of one another – a clear sign of the importance of both BI and BA
This work is licensed under the Creative Commons Attribution-Share Alike 3.0 Unported License.To view a copy of this license, visit http://creativecommons.org/licenses/by-sa/3.0/.
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3. Gnatovich, Rock. “Business Intelligence Versus Business Analytics--What's the Difference?” CIO.com, February 27, 2006. http://www.cio.com/article/18095/Business_Intelligence_Versus_Business_Analytics_What_s_the_Difference_?page=1 .
4. Hagerty, John. “AMR Research Outlook: The New BI Landscape.” AMRresearch.com, December 19, 2008. http://www.amrresearch.com/Content/View.aspx?compURI=tcm%3a7-39121&title=AMR+Research+Outlook%3a+The+New+BI+Landscape.
5. Thomas H. Davenport. “Realizing the Potential of Retail Analytics.” Babson Working Knowledge Research Center, June 2009.
6. van Donselaar, K.H.; Gaur, V.; van Woensel, T.; Broekmeulen, R. A. C. M.; Fransoo, J. C.; “Ordering Behavior in Retail Stores and Implications for Automated Replenishment” Revised working paper dated May 12, 2009; first version: January 31, 2006. http://papers.ssrn.com/abstract=1410095
7. Imhoff, Claudio, and Colin White. “Pay as You Go: SaaS Business Intelligence and Data Management,” May 20, 2009. http://www.b-eye-research.com/