But the store where I am the cashier seems to order more filet mignons than they ever sell. An example would be if I am the cashier and seem to ring up more burger patties than any other cashier on Earth. That is also the data we analyze to find abnormal patterns. So when you go into a Kroger or a Walmart, where they ring you up, that’s the data we collect. In retail, we collect the data from points of sale. What we do is use analytics to identify both consumer fraud and employee fraud. Sastry: There is the risk of fraud, where employees sometimes steal from their employers, and consumers defraud retailers. So regardless of whether you go to Walgreens, Walmart, Kroger, Rite Aid or Meijer, we are monitoring those sales across the entire country. Now people have to present valid ID to buy. Because your parent’s life is at risk when that happens.Īnother example is this: Until 2008 or 2009, people could go from pharmacy to pharmacy buying as much Sudafed or Claritin-D as they desired to ultimately use the pseudoephedrine to make meth. If that home health care worker is a drug addict who has been busted on possession of illegal narcotics, theft or battery and assault, then the home health agency needs to know. Sastry: Imagine you come across a home health care worker who is taking care of your aging parent. Give me an example of why this is important. We also provide them with technologies so those patients can be referred electronically to rehab treatment facilities and addiction treatment facilities. We help state governments collect the data, and then we provide them with algorithms and analytics on top of that to identify patients in need. This helps them find the right venue of care while ensuring that balls don’t get dropped. We’ve built out technology and analytics to identify people with addiction issues and behavioral health issues. Sastry: With our health business, we try to not only address the risk of addiction (to opioids, for example) but also other clinical issues, such as behavioral health. We then centralize that data and use it to help crime victims. Anytime they release or book a person, we get notified. We built a data network that connects north of 2,400 jails and prisons across the country to collect this data in near real-time. Our technology is used to keep communities safe and to keep victims of crime safe from the bad actors who committed the crime in the first place. Sastry: Appriss Insights focuses on risk related to people and their criminal behavior history. Sastry: If there’s one phrase I could use to describe what Appriss does, it is about helping organizations manage risk. Louisville Future spoke with Appriss CEO Krishnan Sastry about the company’s growth and how it focuses its digital analytics in different areas. It now has offices in two continents and customers in 25 countries on four continents. Since its founding, Appriss has expanded to include risk management in both health and retail. They did this by connecting data from every jail and every prison in the country. Days after his release, he murdered Mary in the parking lot of a mall.Įntrepreneurs Mike Davis and Yung Nguyen heard the story and wanted to find a way to notify crime victims when a perpetrator is going into jail, coming out of jail, appearing in court, and going on probation or parole. A man who was in jail for abusing a 21-year-old woman named Mary Byron was released without notification to Mary and her family. was inspired 26 years ago by a tragic event.
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