The real value in big data analytics is that you don’t have to know what you’re looking for before you start. This is a huge benefit to law enforcement agencies that are facing tighter budgets and scarcer resources.
Recovering revenue lost to tax fraud, evasion and avoidance is critical to the national economy. The investigators and data specialists at HMRC use Connect, a visualization system built by SAS, Capgemini and Detica, to segment the population, identify behavior patterns – and decide if a taxpayer needs to be repaid.
Effective terrorists of the future will know how to hide and act using technology and data. Data visualization will help predict their moves – even of those who are data savvy.
Everyone leaves a data footprint behind to follow – bank accounts, travel patterns, phone records and online activity. That sounds useful. You could just sift through all of that to find the next terrorist. Right? Sounds good on paper, but that is a lot of data – really big data. The advantage of advanced analytics is that you don’t need to know what you’re looking for.
Working together, agencies can harness the power of big data to understand the continuum of past, present and future – with a proactive focus on the future. Since the big data analytics foundation is available, there are no excuses. The mission of public health, safety and security, require us to take action.
Digging into your big data to find and stop potential cybercriminals requires real-time, event-driven behavior analytics and the ability to link new threat alerts to existing suspicious cases
“Illicit proceeds from crime are blood money, and blood money should have no place in the U.S. financial system.” The best defense against those illicit financial networks? Big data.
When IT execs talk about big data, they say they have to start with baby steps; they have to get buy in from many areas of the organization. Here are some of their tips for getting both IT and executives on board with analytics implementations and data governance policies that will help the organization make the most of data.
Organizations need to pull immediate insight from real-time, streaming data because traditional approaches, which apply analytics after data is stored, may provide insight too late to act.
Most fraudulent activity goes untried. In many cases, it goes undetected. The cost of that fraud is often passed on to customers, constituents or owners in the form of higher fees, increased taxes or lower margins. It doesn’t have to be that way.