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Financial Fraud & Error Detection for CEOs & CFOs

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The Old Way

CFOs and CEOs historically needed to set up expensive infrastructure to hold data warehouses, process heavy analytic workloads on expensive CPUs, and hire expensive coders to analyse their financial data for errors and fraud. The large initial infrastructure investment precluded cash poor and small-to-mid-sized organisations from proactively monitoring their financial data Furthermore, headcount restrictions often prevented organisations from hiring and keeping the right coders/analysts to produce the reporting.

The New Way

Today, with a small investment, savvy organisations could (and should) be routinely monitoring and evaluating their financial data in a secure cloud, to automatically produce exception reports which identify cases of potential fraud and errors. The new paradigm… pay for only what you use (storage and compute), then shut down the platform till you need it again! Whether you have an existing cloud data platform or not, this is a risk that can be eliminated with a minor investment. Furthermore, many organisations with medium to large transaction volumes immediately discover/recover/rectify errors greater than the value of the initial investment!

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Why?

Ask yourself the following questions:

There are hundreds of similar questions prudent CFOs and CEOs should be asking of their data. Due to availability of cloud platforms, the analysis of small and large data sets is a reality within the reach of any CFO or CEO.

What can be achieved?

The following analytic techniques are a realistic outcome for organisations large and small:

financial fraud and error detection
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