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No more integration playbooks
The old playbook
That single process of buy, integrate, and move the customers over used to be the prevailing view. Now each deal calls for its own decision. Picture an acquirer that keeps eight key people, keeps one data schema in place, moves the other data over, keeps the application layer going forever, and skins the interface the same way, with an AI layer above it all.
Standing on its own
The deal also has to stand on its own without the integration. The test is whether the business holds up without the distribution engine or faster development cycles, and whether a portfolio company run like a private equity firm would want to buy it.
Over-integrating
Thoma Bravo made the opposite mistake several times. A great asset running well on its own was bought through a portfolio company and overly integrated, the wrong people were fired, and the wrong changes were made, which probably killed the company. It doesn't happen often, but often enough to teach the lesson. Most teams want a checklist, and this is harder work than a checklist.
Why do software mergers fail at integration?
Moving customers from one product to another forces each of them into a fresh buying decision, and that gives them a natural moment to evaluate rivals. Staff who built the acquired product often leave during the transition, taking knowledge of how it works. A 2011 Harvard Business Review article by Clayton Christensen and coauthors put the failure rate for acquisitions at 70 to 90 percent.
Why is merging two data schemas so slow?
A schema defines how a system's records are organized, including the tables, fields, and relationships among them. Two companies almost always define a customer, an order, or an account differently. Merging them means mapping every field from one design to the other and deciding what to do with data that fits neither. That mapping work, rather than copying the data, is usually where migrations spend most of their time.
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