The Will to Succeed

An interaction with Shalu Mitruka, Co-Founder and COO, Growthpal, an AI led M&A deal sourcing platform about her work and the challenges in it

- DR ARCHANA VERMA [e-mail]

How is data analytics evolving with AI in 2025?

AI is revolutionising data analytics across the value chain from automating tedious tasks regarding data cleaning and labelling to generating automated insights in real time.

AI powered data analytics are taking important roles in multiple industries and are solving use cases like predictive and perspective analytics, fraud detections, cybersecurity, data privacy, data governance etc., thus helping businesses make informed decisions and reducing risks. Its ability to generate powerful insights from millions and billions of data points is going to be a game changer for market players, which can be done manually and real time.

This evolution is particularly evident in mergers and acquisitions (M&A), where AI is replacing manual research and traditional networking with real-time, data-driven decision-making.

Second, AI plays a crucial role in matchmaking and synergy prediction. Sophisticated algorithms continuously optimise matches, factoring in multiple variables to assess compatibility and business synergies with precision. GenAI further enhances this process by predicting synergies between potential buyers and sellers, improving the accuracy of strategic fit assessments.

By leveraging AI, the M&A process has become significantly faster, more data-driven, and precise, giving companies a competitive edge in identifying and closing strategic deals

How accurate is AI-Driven analytics? What is the scope of biases?