By IDB Guest Blogger: Gail Bamford, SAS
When Tom Davenport and D.J. Patil suggested in their article published in Harvard Business Review that the data scientist is the “sexiest profession of the 21st century,” these in-demand professionals became part of the discussion surrounding the big data ground swell.
On April 10, 2015 at the 3rd Annual Business Analytics Forum at Indiana University’s Kelley School of Business the Institute of Defense and Business (IDB) and SAS had an opportunity to address over two hundred students, faculty members and industry partners who have a vested interest in grooming these superstars of the future.
The Kelley School’s Institute for Business Analytics , co-chaired by Vijay Khatri and Frank Acito, was one of the first programs of its kind established to prepare students for careers in business analytics. The Institute hosts this conference to make their students savvy in real world analytics and bridge the gap between academia and the real world. They actively seek out and engage with industry partners who provide internships and other pathways to employment.
This year’s conference topics included the Internet of Things (IOT), supply chain analytics, and healthcare analytics. The IDB, SAS, Deloitte and IBM were invited to inject the importance of analytics to government.
Government is a heavy user of analytics and acutely feels the pain of the analytics skills gap across all agencies. A 2014 GovLoop survey reported that 96 percent of those surveyed – 46 percent of whom self-identify as experts or analysts – believe their agency has a data skills gap
Last year’s audience gave the thumbs up to our “Data vs. Gut” panel discussion, which featured retired military officers giving their perspective on the evolution they’ve seen of analytics use in decision making in defense organizations. This year, due to unforeseen circumstances, our defense panelist was not able to make it. Van Noah, panel moderator, smoothly shifted gears and reworked the flow of the conversation to provide the students in the audience with a broad preview of how they can apply their data skills in government analytics jobs.
If you were not able to see the discussion in person, here is a summary of the content these experts were able to shed light on:
- Since this panel discussion was held just five days before the income tax filing deadline of April 15th – and stories about scammers were prolific in the media — what better subject to open the conversation?
- Van Noah from IDB was able to represent the government sector and weave in some thoughts on how the military could better use analytics to select candidates for intensive training programs. For example, pilot training is expensive, so using analytics to identify students who are likely to wash out early is much safer and more cost effective than letting all students progress to the next phase of training.
- Satish Lalchand from Deloitte has a long history of working with analytics in government and provided examples of how the federal government is leveraging analytics to combat fraud and improper payments. He also shared his perspective on how agencies can get started once they see the business need for analytics and what it takes besides analytics to make better decisions.
- Eric Zidenberg from SAS has been involved with public safety organizations for many years and talked about how analytics are currently being used on the southwest border to make better decisions on which cars should be sent secondary inspection for illicit materials.
- Dion Rudnicki from IBM segued nicely into talking about how the Memphis Police Department was using analytics to better allocate resources to reduce crime. In a city previously identified as #1 for crime in the US, and where there are only 2,500 police officers to protect the population of 650,000, analytics allows government to place the right resources at the right places at the right time. The result: a 30% drop in crime.
Next Generation Data Scientists
Students preparing for careers in data science have a lot of options when they enter the workforce. The data analytics talent gap exists in every sector in our global economy. When students weigh their options, they should consider the jobs that support the public sector. Serving government will give them a chance to make a real difference. Government needs these talented, data scientists of the future!
|Gail Bamford is an IDB guest blogger and has over 30 years of experience working in the public sector IT market. She has been with SAS since 2006 and is passionate about helping close the analytics talent gap. For more than a decade, SAS and the IDB have worked collaboratively to raise the level of awareness of the value analytics to defense leaders.|