Gartner Research

The Future of Data Management for Analytics Is the Logical Data Warehouse

Published: 28 February 2013

ID: G00248457

Analyst(s): Mark Beyer , Roxane Edjlali

Summary

The logical data warehouse has already emerged among leading warehouse practitioners. Analytics leaders must therefore learn to embrace it or risk rising information management costs for analytics and reduced business value.

Table Of Contents
  • Impacts

Analysis

Impacts and Recommendations

  • By combining the traditional centralized data warehouse with federation or distributed processing (such as MapReduce) the LDW has already made its mark, forcing IT and analytics leaders to start planning or be left behind
  • Introducing a mix of analytic data management strategies from the LDW will begin in the insurance and IT verticals during the next 18 months, analytics leaders therefore need to plan their approach
  • Greater analytics flexibility can be demonstrated by organizations that coordinate their information analytics with business process metadata; analytics leaders need to work toward this goal
  • Data marts are useful for specific end users and, at some time in the future, will be reintegrated into the LDW; so, organizations must establish design standards for these

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