A closer look at how to tackle the merger/acquisition integration challenge when bringing two sets of data together.

Consolidating Data Systems During Mergers and Acquisitions

A closer look at how Big Data Management Services can support the unique data challenges presented during business mergers and acquisitions.

Integrating two sets of assets together is a complex process that requires a solution designed to manage multiple streams of data — funneling it into a single set of views used to make a new combined entity. Some of the most common roadblocks encountered during mergers and acquisitions include:

  • Finding the data, especially when systems are designed differently with unique data definitions, field size, naming conventions and formats
  • Manual data gathering to meet reporting requirements
  • Migration plans that combine manual processes and automated tools
  • Keeping business operations running smoothly while changing data collection processes without lost tracking or performance

Big Data specializes in gathering data from multiple systems, streamlining the integration by automating processes for:

  • Gathering and consolidating data from various systems and formats
  • Cleansing the data and preparing it for use
  • Developing translators that will populate fields with comparative data
  • Staging the data to be delivered in a secure cloud database

The resulting solution can provide value by:

  • Supporting faster, seamless integration through standardized data sets
  • Eliminating compliance issues and mitigating risk
  • Ensuring reliable, accurate data
  • Removing duplicates and overlapping information
  • Identifying opportunities