DATAOI was founded on the principle that to succeed in the rapidly changing global data ecosystem, businesses - regardless of industry or size - must use data science, machine learning and AI to innovate and be competitive.
Fraud is wrongful or criminal activities for the economic and personal benefits. Fraud detection is finding actual or expected fraud which takes place in an organization and in many markets is one of the challenging aspects.
Fraud is mischievous activities which occurs in different sector of activities. Fraud may include shoplifting, skimming, replicating or unauthorized utilization of credit or debit cards, counterfeiting, bar code or POS(Point-of-Sale) manipulation, contamination, mislabeling, substitute cheaper ingredients instead of high-quality ingredients.
Fraudulent activities can be an inside or external job.
Analyzing financial crimes related to fraudulent activities is difficult where traditional data mining techniques fail to address all of them.
Dataoi uses big data analytics to identify an unusual pattern to detect and prevent fraud in different sectors. Various predictive analytics tools are used to handle massive data and their pattern.
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