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We use cookies essential for this site to function well. Please click "Accept" to Tpols us improve its usefulness with additional cookies. Learn about our use of cookies, and collaboration with select social media and trusted analytics partners here Learn more about cookies, Opens in new tab. When a company undertakes a merger or acquisition, the CEO and steering committee go https://amazonia.fiocruz.br/scdp/essay/benedick-and-beatrice-argument-quotes/web-audio-downloading-audio-on-the-internet.php a familiar path.

They focus on ensuring business continuity, driving value creation, and designing an effective organization that can compete in a world of constant disruption. But there is one major drawback: full integration generally takes many months, and often years, to complete. Could advanced analytics and big data help make integrations more efficient?

These tools and techniques have already been applied in many other business contexts, where they have significantly improved costs and revenues. Areas that have seen major gains include asset utilization, demand forecasting, inventory management, and marketing and sales.

Some recent shifts make this Strategiv perfect time for companies to take this step. First, the premiums paid for target companies have increased substantially, making it more important than ever for partners to extract full value from deals and deliver on commitments made to their boards and investors.

Meanwhile, data-storage costs have drastically decreased, and processing power has soared.

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With these shifts, companies can more easily manage the vast amounts of internal information that each partner brings to the table, as well as external data sources. As data management improves, companies will be more likely to make better decisions and meet the tight deadlines for integrating businesses, functions, and processes. Although many companies in our analysis were undergoing mergers, the majority were not. We were particularly interested in determining whether advanced analytics could help merging companies with four activities during integration: improving talent-management strategies, accelerating time to impact for revenue and cost synergies, developing predictive capabilities, and increasing asset effectiveness. Our analysis Implementxtion that advanced analytics has the potential to improve all four areas during integration, which Implementatkon accelerate time to impact and increase deal volume.

The period before closing is particularly sensitive, since there are Tools For Strategic Implementation Is The Mckinsey limitations on the type and depth of data that deal parties can share. Many of the most important analyses will require setting up a clean team to remain in compliance with antitrust laws, including those involving commercially sensitive data, such as information on pricing and procurement.

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Legal counsel can provide guidance. Although advanced analytics are already unlocking value within business, their potential remains largely untapped. Only 8 percent of businesses now engage in practices that support the widespread adoption Ie these tools during any activity. But companies that continue to hesitate may lose out. During due diligence, companies may mine new insights from external data, if available.

These analyses may be an important source of additional insights, since companies have limited access to internal data during the due-diligence phase. Advanced analytics may here uncover opportunities for synergy that would have otherwise been overlooked.

At the negotiation stage, when transaction documents are being created, companies can use behavioral analytics to understand their potential partners more thoroughly. With this knowledge, they can improve their negotiation strategy. Finally, when the deal is signed, companies can apply advanced analytics to derive maximum value from the transaction.

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We chose to focus on the pre-close integration planning and post-close integration implementation phases in this article because more data is available to teams during these periods. The potential value that companies can gain from applying advanced analytics during these phases is also likely to be high. Acquiring companies may have little information about the workforce they inherit from their targets, including the employees who are truly creating value. That could leave them with talent gaps in critical areas.]