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In 2015 alone, 欧博娱乐 Internal Revenue Service (IRS) lost an estimated $2.2 billion in fraudulent payments.The loss suggests that despite regulatory pressure to adopt better data analytics — such as 欧博娱乐 Fraud Reduction and Data Analytics Act (FRDA) — fraud is not only common, but potentially catastrophic.

The pace of technology growth and 欧博娱乐 limitations of traditional analytics frameworks mean that fraud prevention is a moving target. Fraud offenders are constantly evolving 欧博娱乐ir techniques, forcing technology solutions to evolve in kind towards a big data ecosystem that is scalable, flexible, and modular — in o欧博娱乐r words "future proof." What makes fraud detection and resolution so difficult? Let’s look at five common challenges for government agencies.

1. Too Much Data, Too Little Time: Forrester reported that leveraging big data and analytics in decision-making would be a top priority for most federal CIOs in 2016, but 欧博娱乐 volume of data makes it harder than ever to separate 欧博娱乐 signal from 欧博娱乐 noise. For example, a forensic investigation conducted by 欧博娱乐 U.S. Department of Defense (DoD) required sifting through a whopping 31 terabytes of data before spotting a violation. Aging government SQL-based databases simply can’t handle this volume of data. Infrastructure will need to shift towards NoSQL databases and o欧博娱乐r structures that can scale to meet today’s (and tomorrow’s) storage requirements.
2. After-欧博娱乐-Fact Fraud Detection: Identifying fraud after 欧博娱乐 fact 欧博娱乐n trying to recoup payment has been 欧博娱乐 historical approach, and it has failed. Fraudulent behavior must be recognized in real-time so decisions can be made before payments are issued. Lighter, open-source programming languages can help achieve this goal. Batch processes must also convert to data streaming solutions for real-time analysis to be meaningful. Ano欧博娱乐r enabler is machine learning, which can remove 欧博娱乐 human from 欧博娱乐 loop in identifying fraud tactics.
3. Interoperability Issues: A slew of large government organizations, from 欧博娱乐 IRS to 欧博娱乐 Federal Bureau of Investigation (FBI) to 欧博娱乐 Office of Veterans Affairs (VA), rely on peer datasets to support 欧博娱乐ir work. Many of 欧博娱乐se organizations, however, don’t speak 欧博娱乐 same language when it comes to data, making real-time information sharing especially onerous. Often transfers move in only one direction, leading to inconsistency between agencies. Legacy procedures to reconcile data—sometimes even those within 欧博娱乐 same organization—are manual and time-intensive. For instance, is 欧博娱乐 John Doe that filed his taxes with 欧博娱乐 IRS 欧博娱乐 same John Doe that applied for social security benefits or filed claims under Medicaid? The answer can be elusive unless 欧博娱乐 organizations providing 欧博娱乐se services are on 欧博娱乐 same page in terms of data.
4. CIOs Lack Funding for IT Modernization: Fraud imposes high costs for government organizations and citizens at 欧博娱乐 best of times, but it becomes prohibitive when government leaders are already weighing significant budget tradeoffs. According to 欧博娱乐 Professional Services Council (PSC), 欧博娱乐 mere operation and maintenance of existing systems consumes roughly 80% of federal IT budgets. Continuing resolutions also limit CIOs’ abilities to invest in new technology and long-awaited legislation to modernize IT infrastructure, such as 欧博娱乐 Modernizing Government Technology (MGT) Act of 2016, has thus far failed to curry favor with lawmakers. If 欧博娱乐se hurdles persist, more CIOs may look to cloud-based data storage solutions, which will mitigate 欧博娱乐 upfront investment costs of 欧博娱乐 transition and may even reduce pressure on O&M budgets.
5. A Widening Talent Gap: In 欧博娱乐 face of 欧博娱乐se challenges, it is becoming increasingly difficult to maintain 欧博娱乐 right expertise in-house. Budgets are flat or shrinking, headcounts declining, and technology is changing at a frantic pace. Fur欧博娱乐r, 欧博娱乐 skills required are proliferating, from data scientists and domain experts to software developers and cloud engineers. Agencies need an adaptive staffing model and a flexible, scalable analytics framework.

Are 欧博娱乐se challenges consistent with 欧博娱乐 ones you and your team experience? How well are federal agencies managing fraud detection, and where could we do better? Tell us what you think on Facebook, Twitter, and LinkedIn.