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DESCRIPTION:Click for Latest Location Information: http://edw2014.dataversity.net/sessionPop.cfm?confid=79&proposalid=6056\nMethodology that explains the technical pieces of an analytics solution and shows how to leverage existing data warehousing architecture to facilitate adoption of Big Data Analytics. \nIt will help data architecture professionals build analytics solutions without a multi-million dollar investment. The methodology covers the architecture, process, roles and responsibilities. \nThe emphasis is on solving business problems in a sustainable and repeatable manner so analytics solutions can be rolled out across the entire organization in a manner like data marts and reporting are rolled out. \nAdditionally, the methodology defines and clearly distinguishes analytics from existing reporting and analytical solutions to remove confusion and simplify the understanding of analytics.\nThe methodology shows how to build analytics models using data mining tools, how to validate and explain results to the business and facilitate adoption of analytics for business decisions. It also covers an audit and control framework necessary for analytics driven decision making\n What is analytics and how to differentiate from existing reporting and BI solutions\n How to build analytics models using data from the warehouse and using data mining tools instead of statistics\n How to make a business case and demonstrate the value to the business\n How to deploy predictive models in decision strategies for operational decision making \n How to tune and improve models and decision strategies for constant innovation\n What are the required skills, roles and responsibilities to build an analytics organization
DTSTART:20140501T093000
SUMMARY:Beyond Data Warehousing: How to Build Analytics Solutions on Top of Existing Data Warehouse Systems
DTEND:20140501T101459
LOCATION: See Description
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