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Pillar No. 1: Information Sourcing

  • Saumya Chaki

Abstract

With an understanding of enterprise information management (EIM) and how the information lifecycle works from creation/receipt to retirement, and the core components of an EIM solution, we now move to information sourcing. Information sourcing deals with the sourcing of source data from a host of sources such as enterprise applications like ERP, CRM, SFA, MES, and other internal and external systems. Information sourcing is the first step in the EIM reference architecture and the starting point for any data warehouse program or analytics initiative. Once the business requirements have been documented, information integration teams start talking to the data sourcing subject matter experts (SMEs) to understand which data resides in the source systems and the best way to extract the data. The source data is extracted on defined periods depending on the business analytics needs. Some of the key steps followed in data sourcing are as follows:

Keywords

Data Warehouse Information Integration Source System Enterprise Resource Planning System Business Requirement 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

Copyright information

© Saumya Chaki 2015

Authors and Affiliations

  • Saumya Chaki
    • 1
  1. 1.West BengalIndia

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