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Prediction for 2016: prescriptive analytics to take center stage

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Scott Zoldi, chief analytics officer at FICO, predicts that prescriptive analytics will take center stage as the ultimate destination on the analytics journeyScott Zoldi, chief analytics officer at FICO, predicts that prescriptive analytics will take center stage as the ultimate destination on the analytics journey.

“Despite incredible advances over the past few years, we’ve barely scratched the surface on the full potential of analytics,” said Zoldi.

Following are Zoldi’s predictions about the role of prescriptive analytics and where he sees things heading in 2016:

1. Streaming isn’t just for movies and music, it’s for analytics too.

From the Internet of Things to healthcare to cyber terrorism, it’s no longer just about gathering and analyzing data. It’s about gathering, analyzing and acting on data as it happens. With hardware commoditized (or bypassed entirely in favor of the cloud) and open source software (e.g., Apache Ignite, Spark streaming, Storm) coming into its own, it is now economically feasible to squeeze even more value out of data in real time. A cornerstone of prescriptive analytics, streaming analytics will come of age in 2016.

2. It’s not quite Spielberg’s “Minority Report,” but predicting cyber crime is a reality.

Antivirus is great. But it’s not bulletproof. Ditto for firewalls and countless other defensive technologies. This is a huge problem that has remained unsolved for years that one cannot build strong enough defenses. Prescriptive analytics is emerging as “The Next Big Thing” in cyber security. Identifying anomalous behavior and recognizing patterns as they are developing enable analytics to sound the alarm before attackers can harm the organization. Prescriptive analytics will become a must-have security technology.

3. Lifestyle analytics becomes part of daily life.

In 2016, the Internet of Things will go even more mainstream. From home appliances to cars to automated shopping, “lifestyle analytics” is poised for explosive growth. Groceries delivered without an order having to be placed. Doctors monitoring patients remotely 24/7/52. Biometric security. It’s all coming together thanks to the cloud and all the devices and sensors that surround us. In 2016, lifestyle analytics will be integrating prescriptive analytics into our lives.

4. The Big Data belly ache – rethinking what’s really important.

It seems as though major data breaches are happening daily. From banks to retailers to government agencies, bad guys are accessing personal data at a staggering rate – millions of records at a time. In the upcoming year, businesses that have been collecting Big Data without putting thought into what they really want to collect – what is useful, what is superfluous, what is risky to store – will start to suffer from Big Data indigestion. Businesses need to put greater care into governance or face serious consequences due to the cost, liability, dangers and headaches involved in storing so much sensitive-yet-unnecessary data spread across the organization.

5. Beware of wolves in data scientist clothing.

A growing number of crowd-sourced and open-sourced algorithms available today have bugs in them or offer questionable value. Many companies are storing too much data and using iffy algorithms and hiring practitioners with limited expertise who may apply these resources without knowing where the deficiencies are. This will result in negative impacts to businesses as they rely on the results of the computation. We need to understand, test and harden our algorithms, and develop more consistent expertise in applying them. In 2016, I see the industry having to deal with challenges created by the flood of open source algorithms and a dearth of qualified analytic scientist practitioners.

 



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