摘要： In 2020, companies face an operational environment that is unlike any seen before. Rapid globalization has created fierce competition, and digitalization is driving innovation in every direction. As a result, firms that fall behind are going out of business, and more than half of all Fortune 500 companies have left the marketplace in the past 15 years.

To compete in this environment, more companies are turning to mergers and acquisitions, joint ventures, and partnerships to promote their products and stay afloat. And intuition is playing a smaller and smaller role in how decisions are made around mergers and acquisitions. As with so many other areas of business nowadays, M&A has become a data-driven process, built upon hard numbers that can help executives and entrepreneurs minimize risk.

Once management from two firms has expressed interest in potentially partnering or beginning the process of a merger or acquisition, the data teams on both sides of the negotiating table are often charged with facilitating due diligence. Of course, in a business setting that is often highly regulated and privacy-focused, data transparency for M&A due diligence situations can be tricky. Successfully navigating that dynamic is critical to the process and is often the difference between a successful merger and a lost opportunity.

With this conundrum in mind, here are three priorities for data pros that can lead to an effective data-driven acquisition process.

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