Without data you are just another person with an opinion. – W. Edwards Deming
A&M has capabilities to leverage and contextualize third party data sources, including but not limited to census information, demographics, social media, and geo-spatial data, and correlate those with company’s financial and operational data for maximum actionable insights.
Our team of data experts have breadth and depth of experience in working with virtually all formats of data from a broad range of Enterprise Resource Planning (ERP) systems, which include financial, sales, marketing, inventory, and other operational information systems. We leverage advanced technologies and analytics methodologies which enable us to effectively extract, synthesize, and draw insights from large and complex data sets through building data lakes from client and market data.
Our big data capabilities enable us to drive in-depth analyses at the most granular, transactional level to uncover insights hidden deep within the data lake as well as leverage relevant third-party data for additional insight enrichment.
A&M is focused on providing our clients with faster and deeper insights to support better-informed investment decisions.
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Comprehensive M&A services to support your buy- and sell-side transactions across the entire deal lifecycle.
A&M provides data analytics services to clients to uncover maximum actionable insights to support their M&A, divestment and investment strategy.
In-depth analysis of financial and operational metrics to support better-informed investment decisions.
Trend analysis and what-if scenarios to assess growth potential and support post acquisition strategy.
Simple and insightful visualization with interactive dashboards for dynamic data analytics.
The Telco AI Value Paradox
June 16, 2026
Across the telecommunications sector, AI investment is accelerating — but enterprise value is not keeping pace. In our latest analysis, A&M's Telecommunications & Digital Infrastructure practice examines why: the domains that offer the greatest AI opportunity are consistently the same domains with the most fragmented data, the highest system complexity, and the greatest deployment risk.
NetCo/ServCo Carve-Outs: Why Operating Model Decisions Determine Value
June 4, 2026
Network and service carve-outs are becoming an increasingly common feature of the US broadband landscape.
When Scale Stops Working: The Fight for Volume Growth at Large Consumer Goods Companies
June 3, 2026
Alvarez & Marsal’s analysis shows that revenue growth accounts for roughly two thirds of the difference in valuation multiples among leading consumer packaged goods companies. Growth-led earnings are valued at twice the level of cost-driven gains.
Most Companies Have AI Ownership Backwards: Why AI Doesn't Belong in IT
May 21, 2026
Despite tens of billions in collective investment, a staggering 95% of enterprise AI pilots deliver zero measurable P&L impact, according to MIT’s Project NANDA. The instinct is to blame the technology, the vendors, or the talent shortage, but the data points to a different culprit: organizational design.
