Merger and Acquisition Strategies (M&A)
Processing, analyzing, and deriving strategic insights from high-volume data are key factors for companies to succeed in merger and acquisition (M&A) decisions.
By analyzing financial and operational processes, we identify potential risks and opportunities in advance, managing all phases of the M&A process with a data-driven approach. Utilizing data analytics and advanced engineering techniques, we optimize M&A processes for maximum efficiency.
01
Pre-M&A Preparation and Valuation
We analyze the financial and operational status of the target company using data analytics. By applying Company Valuation Models such as DCF and Market Multiples, we develop algorithms to determine the target company’s value. All market risks are incorporated into the evaluation.
02
Merger and Acquisition Process Management
| We manage Due Diligence processes in M&A transactions through data analytics. Legal, financial, and commercial data are analyzed to assess risks and opportunities. |
03
M&A Integration and Culture Management
Post-Merger Integration (PMI) strategies are implemented to manage integration processes with a data-driven approach, ensuring employee satisfaction and operational efficiency.
04
Financial and Operational Improvement
Post-merger cost analysis, resource management, and performance optimization are achieved through data analytics. This enhances profitability and reduces costs for the merged entity.
05
M&A Risk Management
| Using Risk Simulations and Scenario Planning tools, we analyze risks in M&A processes and minimize their impact through data analytics. (Analytics: M&A Risk Mitigation Index – MRI) |
What Results Do We Achieve
Our data analytics-supported M&A processes deliver significant value to our clients.
Valuation Accuracy
Data-driven valuation processes achieve 95% accuracy in estimations^.
Integration Success Rate
Data-driven integration processes achieve 92% alignment.
Operational Efficiency Improvement
Post-merger operational processes show a 14.8% increase in efficiency.
Risk Mitigation
Risks are reduced by 9.5% through data analytics.
Valuation Accuracy
Data-driven valuation processes achieve 95% accuracy in estimations^.
Integration Success Rate
Data-driven integration processes achieve 92% alignment.
Operational Efficiency Improvement
Post-merger operational processes show a 14.8% increase in efficiency.
Risk Mitigation
Risks are reduced by 9.5% through data analytics.
Valuation Accuracy
Data-driven valuation processes achieve 95% accuracy in estimations^.
Integration Success Rate
Data-driven integration processes achieve 92% alignment.
Operational Efficiency Improvement
Post-merger operational processes show a 14.8% increase in efficiency.
Risk Mitigation
Risks are reduced by 9.5% through data analytics.
Valuation Accuracy
Data-driven valuation processes achieve 95% accuracy in estimations^.
Integration Success Rate
Data-driven integration processes achieve 92% alignment.
Operational Efficiency Improvement
Post-merger operational processes show a 14.8% increase in efficiency.
Risk Mitigation
Risks are reduced by 9.5% through data analytics.
Analytical Scales
- Company Valuation Index (SVE)
- Integration Compatibility Index (ICI)
- Operational Performance Improvement (OPI)
- M&A Risk Mitigation Index (MRI)
Through our M&A strategies, supported by robust data analytics, we help companies achieve seamless integration, enhanced profitability, and risk reduction, ensuring a successful and sustainable merger or acquisition.