Making Sense of Fragmented Data Sources within a Big Data Analytics Hub
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    David J Galbraith
Enterprise Architect
Intel Corp.
  Stacie Hall   Stacie Hall
Enterprise Architect
Intel Corp.


Wednesday, April 20, 2016
11:45 AM - 12:30 PM

Level:  Intermediate

The presentation provides insight into both Enterprise and Business Unit level governance of data in conjunction with the alignment of disparate data sources into a Big Data Analytics Hub to enable business analytics. A use case focusing on Marketing Spends Analytics will highlight Intel’s best practices dealing with governing and aligning fragmented, geographically distributed, inconsistent data sources to drive insights into marketing effectiveness.
  • Differentiation of enterprise versus business unit level data
  • Different governance practices for the enterprise or business unit level data
  • Strategies to identify a common dimensions/pivots at both the enterprise and business unit level
  • Strategies to resolve data granularity challenges with business direction to enable consistent meaning
  • Strategies for data matching/conformance
  • Streamlined architecture for loading and organizing the information in the Big Data Analytics Hub to enable multiple business perspectives
  • Marketing Spends Analytics Use Case
  • Key learnings

David has 27 years of experience as a Developer, Data Analyst/Architect, and Enterprise Architect spanning manufacturing, finance, and sales & marketing. He is currently the Enterprise Architect for Retail Marketing at Intel Corp.

Stacie has over 30 years of experience as a Data Analyst/Architect and Enterprise Architect. Currently, she is the Customer and Supplier Master Data Architect at Intel Corp.

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