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Data management is a cost-effective business approach.

High-quality data management can dramatically reduce a company’s operating and overall data costs by speeding the process of using data, but also by providing a truly accurate view of operations. With trusted data, analysts spend less time cleaning and finding data, and more time putting it to use to generate insights that support the organization. Companies also spend less to store and gain insights from their data. Automation and optimization are vastly accelerated when everyone knows that the data truly reflects the state of the company.

Data management should be connected to overall business outcomes that can help to optimize operations and lower costs by:

  • Increasing productivity
  • Reducing an organization’s data footprint
  • Improving efficiency
  • Minimizing compliance and regulatory risks


A study by West Monroe Partners found that companies that prioritize data during an M&A transaction can achieve up to 50% more revenue growth than companies that do not.


Gartner has found that companies that implement effective data management strategies can reduce IT costs by up to 25% and increase operational efficiency by up to 30%


According to a study by McKinsey & Company, companies that prioritize data integration during an M&A transaction can achieve 30% more cost synergies than companies that neglect this aspect.


According to McKinsey, 56% of M&A deals fail to deliver the expected value due to issues with data management.

M&A Case Studies

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