Finding the right candidates requires complex sourcing of scattered information, and lengthy manual search-and-scan activity.
Research Studio identifies, screens and enriches potential M&A target data, assessing fit, value potential and deal rationale, and generating a prioritized M&A roadmap – fast and effortlessly.
In a crowded M&A marketplace, speed and depth are key to gaining competitive edge.
To build an exhaustive target list, Research Studio synthesizes information drawn from 400 billion sources – patents, websites, articles, publications and news – and analyzes thousands of ‘hidden’ correlations and patterns.
Using multiple factors including risk, IP portfolio and sustainability footprint, Research Studio automatically determines strategic fit and synergy potential. Results reveal undiscovered players and new markets: smaller companies, unexplored regions, emerging tech fields and trending sectors. The target list updates continuously, adapting to early signals, market momentum and trend analysis, identifying new picks based on selected criteria.
As industries feel the impact of COVID through supply chain disruption and demand uncertainty, many are looking for new ways to drive shareholder growth. A global specialty chemicals conglomerate wanted to identify targets active in selected areas of specialty additives and identify adjacent market opportunities for three core chemistries. SparkBeyond’s Research Studio helped define and select search fields aligned with strategic priorities and identify a longlist of >100 players. Results included:
AI-driven technology identifies, screens and enriches potential M&A target data with unprecedented speed, depth and accuracy, making it a game-changer in large-scale and programmatic M&A.
Apply key dataset transformations through no/low-code workflows to clean, prep, and scope your datasets as needed for analysis
Apply key dataset transformations through no/low-code workflows to clean, prep, and scope your datasets as needed for analysis
Apply key dataset transformations through no/low-code workflows to clean, prep, and scope your datasets as needed for analysis
Apply key dataset transformations through no/low-code workflows to clean, prep, and scope your datasets as needed for analysis
Apply key dataset transformations through no/low-code workflows to clean, prep, and scope your datasets as needed for analysis
Apply key dataset transformations through no/low-code workflows to clean, prep, and scope your datasets as needed for analysis