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Buy-side transformation requires data stabilization

The IMD Wrap: Insightful and actionable data tools require reliable and accurate underlying data. Max looks at some startling findings from recent reports that highlight the key data challenges that lie ahead.

An egg about to hatch

Better data quality translates directly into organizations’ ability to create more and better data products, and deliver more and better market insights. For the ever-changing buy side, this means being able to serve clients better and deliver data products and tools that differentiate firms from their competition. For vendors, it means being able to respond to those evolving needs and mitigate market disruptions that arise.

Let’s start by examining how index and analytics provider MSCI is

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M&As, MCPs and why clean data is essential

The Waters Wrap: Financial firms are racing to adopt AI—but the payoff depends on having the right foundations, particularly clean, normalized data, writes Wei‑Shen.

How governance-first architecture stabilizes complex systems

Chetan Patil argues that many transformation projects fail not because of the technology but because of weak data governance. Adopting a governance-first discipline early (and building speed, resiliency, and credibility over time) is best.

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