The Data Virtualization Gold Standard

Robert Eve

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How Data Virtualization Helps with M&A

Deliver on M&A’s promise faster with data virtualization

The promise of larger market share, greater economies of scale and superior financial performance make mergers and acquisitions (M&A) a way of life in today's hypercompetitive marketplace.

Delivering on this promise is a significant task for the IT teams responsible for integrating the merged organizations.

Not only is this effort tremendously large and complex, time is of the essence.

With so many data silos and an urgency to visualize combined results, IT needs to use every tool in their data integration portfolio - especially ones that federate merged data quickly.

Data Virtualization to the Rescue
Leading enterprises in number industries rely on the data virtualization to integrate the terabytes of critical strategic and operational data across merged organizations.

Data virtualization's more agile, lower cost data integration approach accelerates integration of diverse source data housed at each of the merged firms.

This fast path approach provides the unified views across the combined businesses that executives seek, without the delays that would result from traditional data consolidation and ETL methods.

Data Virtualization Accelerates Integration ROI
Data virtualization helps achieve M&A IT system integration objectives more rapidly than other data integration approaches and thereby accelerates M&A business benefits including:

  • Increase Revenues - Accelerate new market penetration and cross-selling initiatives
  • Improve Productivity - Simplify consolidated financial reporting
  • Reduce Costs - Rationalize combined project portfolios and staffs optimally
  • Decrease Risk - Provide management visibility across the merged firms quickly
  • Ensure Compliance - Support new compliance reporting requirements, both transitory and on-going

Data Virtualization in M&A Examples

  • Cross Selling - To accelerate cross selling activities, this acquirer used data virtualization to identify and target acquired company's customers, without waiting for the longer lead-time customer data warehouse consolidation project. This brought revenue faster and removed the consolidation project from IT's critical path.
  • Staff Optimization - To optimize staff after a merger, the acquiring pharmaceutical company needed to integrate R&D pipelines and staffs, balancing project demand and existing talent. Data virtualization combined this diverse data in just a few weeks, enabling them to quickly realign researchers and project managers optimally across the unified companies and move forward with little disruption.
  • Iterative Trial Close - To ensure better financial control and more rapid consolidation of financial reporting, financial analysts at the acquiring company integrated both sets of accounting data using data virtualization. Trial close reports include federated views of both companies' ledgers as required to provide immediate visibility and avoid surprises.

More Stories By Robert Eve

Robert Eve is the EVP of Marketing at Composite Software, the data virtualization gold standard and co-author of Data Virtualization: Going Beyond Traditional Data Integration to Achieve Business Agility. Bob's experience includes executive level roles at leading enterprise software companies such as Mercury Interactive, PeopleSoft, and Oracle. Bob holds a Masters of Science from the Massachusetts Institute of Technology and a Bachelor of Science from the University of California at Berkeley.