In our first chapter of the IBM and GovLoop guide series; we explained how big data has fundamentally changed the way government does business. But for many institutions, understanding the applications of big data is just the start of the analytics journey. In this chapter we dive deeper and focus on how deploying a data-driven approach to counter fraudulent activity can cut costs at your agency and help you deliver services more efficiently and effectively.
Today it is essential to remember that government agencies are collecting troves of transactional and behavioral data. If officials can understand the patterns, actions and processes behind these transactions, they can better understand their data as a means to combat fraud. We’ll show you how throughout this chapter. Specifically you’ll receive:
- An overview of IBM’s approach to counter fraud.
- Insights from Carole Longendyke, counter-fraud client solutions professional at IBM, on how countering fraud is helping government become more efficient.
- An in-depth look at New York state’s counter-fraud approach.
- Best practices to get started on your anti-fraud efforts.
Although these new tools have made it easier for government/citizen collaboration, making the government available round-the-clock on the web opens more areas to fraud. But with an anti-fraud strategy, agencies can combat scams before they happen and take a proactive stance to be more efficient in service delivery.
The IBM Analytics Solution Center (ASC) is part of a network of global analytics centers that provides clients with the analytics expertise to help them solve their toughest business problems. Check out their Analytics to Outcomes group on GovLoop.
