Tag: data quality
FCA clock starts ticking on MiFIR reporting overhaul
The Financial Conduct Authority (FCA) has moved a step closer to replacing the UK MiFIR transaction reporting framework with the publication of consultation paper...
Inflated coverage claims put news API buyers at risk
For FinTech firms, compliance teams and data buyers relying on news APIs, the headline source count is often the first number they see. According...
Why insurers can build models faster than they can use them
AI is accelerating insurance pricing, but insurers still face a slower challenge: turning model outputs into decisions that can actually reach the market.
An insurance...
Why insurance’s old playbook is failing emerging risks
Insurance has long relied on historical data to understand and price future risk. But a new analysis from Earnix, an insurance technology provider, argues...
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....
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