There are no hard and fast rules to ensure that a given merger will result in corporate wedded bliss. But we have found that quantitative analysis — something PMI managers have largely overlooked — can evoke both surprising questions and even more revelatory answers. Certain post merger integration scenarios, which we describe below, can create very difficult starting points for the companies and the managers involved. If a company faces one of the less favorable scenarios, it becomes doubly important to assess the likely causes of difficulty and to address these proactively and thoroughly.
In an empirical examination of one of the world’s largest PMI databases by the authors and the University of Muenster in Germany, a set of risk factors have emerged that are statistically significant — as opposed to just hearsay — in influencing PMI success, as defined by criteria described below. These factors also can be used to help determine the types of “risk profiles” that pertain to a merger, each profile having a unique statistical likelihood even before any integration measures have been implemented. Identifying the risk profiles before closing a deal is thus crucial.
Extrapolating from our quantitative analysis, certain PMI myths emerged that can influence both the effectiveness of the PMI process and the comparative difficulty in realizing the value of the merger – proposed or imminent. Using statistical analysis in an effort to minimize risks and discard outdated notions can help an organization stack their odds in favor of a more successful post merger integration.
Author(s): Johannes Gerds, Freddy Strottmann, Pakshalika Jayaprakash
Original Source: Deloitte Review


