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In this episode, Forefront Head of Content Sam Belden sits down with William Wilson, Senior Securities Analyst at CMG, to explore what truly differentiated data looks like in equity capital markets and how firms can move from raw information to decision-ready intelligence.
The conversation centers on CMG’s recently published eBook, From Raw Data to Actionable Insights, and tackles a fundamental challenge in today’s ECM landscape: while data is abundant, much of it remains fragmented, delayed or difficult to operationalize. Willi explains how CMG approaches this problem through a focus on timeliness, completeness and accuracy, ensuring that market participants have access to data that is not only comprehensive but immediately usable in fast-moving environments.
Beyond simply aggregating data, CMG emphasizes structured delivery and flexible access — through its UI dashboards, API feed and Excel integration — allowing both buy-side and sell-side users to quickly filter, analyze and act on information. With over 100 tracked data points per transaction and coverage spanning more than 50 regions, the platform is designed to support granular analysis across global markets.
The episode also dives into the top structural drivers of market behavior that are often overlooked. While price movements are frequently attributed to macro trends or earnings, Willi highlights how ECM events — such as primary issuance, secondary sell-downs, block trades and lockup expirations — can have a significant impact on price action. Understanding factors like deal size relative to market cap or trading volume can provide deeper insight into dilution, liquidity and investor sentiment.
From a workflow perspective, differentiated data translates directly into better decision-making. Buy-side participants rely heavily on real-time calendars and performance trends to guide allocations and strategy, while sell-side teams use the data to inform deal structuring, pricing and precedent analysis. Across both groups, improved data quality reduces reconciliation effort, accelerates analysis and enables more confident cross-border comparisons.
Finally, the conversation turns to the challenges of delivering truly global ECM coverage. Many providers claim global reach, but often fall short in capturing regional nuances. CMG’s approach, guided by practitioner input and continuous iteration, focuses on adapting data structures to reflect local market dynamics rather than forcing them into a single framework. This philosophy extends to ongoing discussions around ECM modernization, particularly in Europe, where fragmented workflows and inconsistent data standards continue to slow progress toward straight-through processing.For more conversations with fintech and capital markets leaders, explore the At the Forefront podcast archive or on our YouTube channel.
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1:00 – What differentiated data means in an ECM context
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4:15 – How practitioners actually use ECM analytics
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7:40 – Structural drivers of price moves beyond macro signals
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10:20 – How differentiated data benefits buy-side and sell-side workflows
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12:30 – The challenge of delivering global ECM coverage
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14:50 – The path forward for ECM modernization in Europe