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Mergers and acquisitions (M&A) are an essential part of the global strategic and financial business landscape. The success of an M&A depends on many aspects. Merged companies may originate in different countries, and support completely different approaches for organizational culture, management philosophy, business processes, etc.
From an IT perspective, beyond these enormous business challenges, the merged company must come out of the M&A process with a merged IT infrastructure – both software and hardware – aligning language and knowledge throughout the organization. For example, a recent IDC survey states that only 5% of organizations with revenues of $500 million and above have a single operational system feeding their business analytics solution. 34% have 10 or more operational source systems feeding their business analytics solution.
During system consolidation, unifying information into a consolidated data warehouse is typically necessary. Many issues must be dealt with, such as architecture concepts, business logic, data structures, data integrity, authentication and security. It usually takes the organization’s IT many months to align the IT landscape to the merged company.
In the meantime, until IT completes this long and complex project, different departments operate based on different data, and managers spend an increasing amount of time analyzing disparate reports and spreadsheets to gain a holistic view if their operation rather than driving employees to action. This is where Sterna Business Positioning System™ (BPS) comes into the picture.
Sterna BPS delivers actionable information to the relevant people within the merged company, taking much of the heavy lifting off the IT department, and allowing it to focus its resources on the complex merger project. Real-time central-visibility into the operation is quickly provided to managers of the merged Business Communities, aligning them to the same language, data, and goals. Rapidly implemented utilizing prebuilt industry-specific Sterna BPS Packaged Libraries, the solution offers substantial returns. Furthermore, the Sterna BPS platform extracts data from virtually any data source, and the data is uniquely merged in the Sterna BPS Server utilizing mathematical algorithms. The data sources are completely abstracted from the Sterna BPS Server, such that they can be plugged in and out with minimal effort and impact to the system.
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