Tag: data quality

Why weak data quietly breaks AML risk scoring models

When alert queues grow faster than compliance teams can handle, genuine financial crime risk can vanish into the noise. According to ComplyAdvantage, the root...

Media intelligence is only as good as its data layer

Media monitoring and media intelligence are frequently conflated, yet the distinction carries real consequences for anyone building or buying in the space. According to Opoint,...

The data quality dilemma in financial crime risk

Every financial crime risk assessment is built on one foundation: data. It shapes inherent risk, evidences how controls perform, underpins decision-making, drives monitoring and...

How LSEG is building the backbone of AI-ready data

Data powers financial markets. But turning the vast universe of global content into information capable of supporting business-critical activities in highly regulated environments demands...

How to fix FATCA and CRS reporting at the source

For compliance teams currently working through their FATCA and CRS reporting cycle, the pattern will feel all too familiar. What ought to be a...

M-Files: six AI predictions shaping knowledge work in 2026

As enterprises move beyond experimentation with artificial intelligence, 2026 is expected to mark a decisive shift in how organisations embed AI into everyday operations....

The human factor behind stronger financial crime risk assessments

Technology, governance and methodology all play a part in shaping a financial crime risk assessment, but none of them determine whether it is truly...

Why data governance is now critical for financial institutions

Data has become central to how financial services firms operate, innovate and compete. From payments and customer communications to analytics, automation and AI-driven decision-making,...

What compliance teams expect from sanctions screening in 2026

Early signals from compliance teams suggest that sanctions screening is entering a decisive phase, shaped by geopolitical instability, expanding watchlists, and a clear regulatory...

The data mistake putting AI projects at risk

The rapid rise of AI across financial services has thrust an old computing warning firmly back into the spotlight: “garbage in/garbage out.” Despite the...

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