Industry Offerings

Enterprise Data Strategy

Retailers are at a tipping point with Data and Analytics. The traditional method of building a data warehouse / data marts over 2-3 years and then building reporting on top of these warehouses is quickly being replaced by new approaches to delivering data, insights and actions rapidly to the business. And the business across functions and product lines, are asking for more and more data and insights so that they can identify opportunities for growth and/or reduce costs. In addition, companies are struggling to figure out where to place their bets when it comes to investments in modern data technologies and platforms. Should they beef up their existing Data Warehouses, Appliances, and/or use HADOOP or Amazon? Should they add Visualization and Analytical Tools to their portfolio, and if so how will they support these new technologies? How do they align their investments in data with their business and strategic priorities?

Our Offering

Infosys’s Enterprise Data Strategy (EDS) offering provides an end to end comprehensive analysis, strategy, architecture, and roadmap across a company’s Data landscape. Our approach covers the business and technology aspects of data – from understanding the company’s business strategy to how data and technology can accelerate the realization of that strategy.

The Enterprise Data Strategy covers a broad range of Business, Data and Architecture topics including:

  • Business Personas (to Understand the Needs of the Business)
  • Data Management Organization
  • Data Governance including Data Quality
  • Data Harmonization
  • BI & Reporting
  • Big Data and Advanced Analytics
  • Master Data Management
  • Data Lifecycle Management (i.e. Data Masking, Retention, etc.)
  • Data Architecture (including Tools and Technologies)

We execute the strategy by following a structured approach including:

  • Current state assessment across the key domains mentioned above
  • Design Thinking sessions with Business and IT to understand the needs/goals of the business enabled through data
  • Gap analysis between the current state and business needs/goals
  • Prioritization of the data needs and gaps based on business value/feasibility
  • POC around target architecture
  • Definition of target architecture
  • Roadmap to get from current state to desired state
  • Required data management organization to make it happen
  • Business case to rationalize investments in data
  • Quick wins

Our approach provides companies with a comprehensive yet pragmatic approach to defining a roadmap for Data, Analytics and the required organization to support these capabilities. In addition, we focus on tangible outputs on the roadmap that can be delivered in 3 – 4 month chunks so that we continue to deliver value while larger items are in flight and may take longer.

Offering Owner

Kishor Gummaraju Kishor Gummaraju
Managing Partner, Infosys Consulting

Prasad Vuyyuru Prasad Vuyyuru
Partner, Infosys Consulting

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