The Risks and Limitations of Current Information Management Practices in Financial Crimes Compliance Initiatives

October 20, 2017

The Risks and Limitations of Current Information Management Practices in Financial Crimes Compliance Initiatives

By Farnaz Erfan

In my earlier blog post, I discussed some of the findings from a recent FIMA benchmark study regarding the current state of information management for financial institutions (FIs). The statistics showed that FIs continue to be burdened by compliance-related issues and remain highly dependent on IT departments to address them.

Today I’d like to talk about the shortcomings of the current approaches to financial crimes compliance.

Compliance reporting is a time-sensitive process, and it is vitally important for FIs to meet deadlines. Speed is of the essence, but unfortunately, the current practices are not fast enough for the vast majority (78%) of FIs. In fact, one in three responded that most of their projects fail because oftentimes the data received by the lines of business (LoB) from IT departments comes too late.

Not only are FIs disgruntled with the lack of speed in existing, Excel-based data management practices, they are also frustrated by its lack of accuracy:

  • Only 5% are fully confident in the results
  • 43% say that data quality and governance are significant challenges for them
  • Only a mere 2% are “thrilled” with the quality of the data output they receive
  • Just 12% rate the quality of their data as “very good”

This shows that the current approaches to compliance reporting – where IT and LoB operate in silos and “collaborate” via Excel – is deficient in many respects.

Considering that data accuracy and quality are tightly associated with risk management, protecting the brand and minimizing fines, FIs clearly need a better approach and a fresh look at new technologies.

To learn more about the risks and limitations of current information management practices, download the FIMA US 2017 Benchmark Report.

In the next blog post, we will discuss how new disruptions in technology solves the current issues arising from the lack of speed and trust in data as discussed above.

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