An introduction to Value Creation

What is Value Creation?

In today’s rapidly changing and uncertain environment, businesses must be able to adapt quickly to both protect and create value for their stakeholders. To do so effectively, in addition to having a robust strategy, business leaders need to leverage data to understand the value drivers of their business and make informed, value-based decisions.

Our value creation approach deploys a powerful combination of hypothesis-led thinking with advanced data analytics. Together with our deep sector knowledge and functional expertise, this enables us to provide you with a unique set of insights specific to your business.

When is Value Creation relevant to a business?

Our value creation approach identifies potential improvements and can be deployed across a range of situations:

Pre-deal

During the acquisition or sales process, we help you assess the value creation potential of the target company, unlocking value for either the buyer or seller. Regardless of which side you are on, you can be confident that your valuation incorporates potential upsides, backed by robust analytics and implementation considerations.
Post-deal

After closing the deal, we perform a deep dive into the company’s financial and operational data to identify where to reposition assets to enhance EBITDA and cash flow. We then support the implementation of the right initiatives to deliver this improvement ahead of an exit or IPO.
Turnaround or transformation

While our approach has been developed with a deal lens, it is equally relevant for corporates seeking to grow or improve their financial performance. With access to KPMG’s global experts, we provide detailed, actionable insights to support the development and execution of a robust value creation plan, regardless of your starting point.

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Our collaborative, and data-driven approach

At KPMG in Thailand, we use our experience to develop a range of potential value creation hypotheses, which are then validated and refined through a combination of data analytics, using both internal and external market data, and collaborative discussions with you on the challenges you face and your business’s future strategy. Hypotheses may include, for example, using geospatial analytics to identify optimal locations for store expansion or analyzing the true profitability of products or services.