Avijit Datta is CEO of Aviana Global Technologies, a company dedicated to working with organizations that need predictive analytics to make better decisions, effectively manage risk and improve profitability.
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Avijit Datta is CEO of Aviana Global Technologies, a company dedicated to working with organizations that need predictive analytics to make better decisions, effectively manage risk and improve profitability.
Knowing where to go next is the superpower of savvy companies. Predictive tools guide executives to better decisions. Yet getting these insights has a history of implementation delays, incomplete information leading to incorrect insights, and predictions too old to be useful. How do you fix this?
To navigate the chaos of the market, every enterprise needs discipline, direction, and order. COOs uphold these standards. Increasing customer satisfaction under the shifting trends and preventing losses while improving profits are challenges a COO faces every day. How does a savvy COO overcome these challenges?
Knowing where to go next is the superpower of savvy companies. Predictive tools guide executives to better decisions. Yet getting these insights has a history of implementation delays, incomplete information leading to incorrect insights, and predictions too old to be useful. How do you fix this?
We sat down with Porsche Westlake’s Service Director, Sam Abregel, to address 8 categories of warranty fraud to watch out for. Given the vast amount of transaction data and the presence of anomalous patterns indicating fraudulent activity in these categories, there is a huge opportunity to harness predictive analytics and machine learning models.
Continuous monitoring (CM) and continuous auditing (CA) systems provide real-time monitoring and reporting of business processes, activities, and transactions. This could largely benefit CEOs, COOs, and board members who are concerned with the risking risk, regulation, and costs in their organization.
With the rapid growth of the internet and the IoT and the resultant digital transformation of the world we live in, there is an explosion of data that is being generated, collected, and stored. There is data available for “normal” transactions, as well as for the fraudulent of interest to a company. If one could successfully analyze this data and gain meaningful insights and draw conclusions from it, it would be possible to use that insight for reducing the threats and risks against organizations.
