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Predictive Analytics

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A Look into Big Data Applications for Law Enforcement

February 10, 2016 by Abdullahi Muhammed

Ever-growing security threats coupled with shrinking budgets are putting enormous pressure on law enforcement agencies worldwide. Here's how big data is helping them.[read more]

Wise Practitioner – Predictive Workforce Analytics Interview Series: Lisa Disselkamp and Tristan Aubert at Deloitte

January 22, 2016 by Eric Siegel

In anticipation of their upcoming Predictive Analytics World for Workforce conference co-presentation, Predictive Analytics Unlocks Sustainable Cost Reduction In Hourly Workforce, we interviewed Lisa Disselkamp, Director at Deloitte, and Tristan Aubert, Senior Lisa Disslekamp imageConsultant – Advanced Analytics & Modeling at Deloitte.[read more]

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Hiring a Data Scientist? Machine Intelligence Can Help

January 19, 2016 by Scott Howser

As data scientists are all the hype right now, many companies are hiring them without knowing how to best utilize their skills. This leads to a huge expense and a waste of resources. It’s the classic “if it’s not broke, don’t fix it” mentality. Businesses need to know why—even if—they need a data scientist and know what they’re looking to get out of the investment before bringing one on board.[read more]

Long Term Financial Planning with Financial Data Analytics

January 18, 2016 by Sarah Smith

Big data is a statement that covers all information processing and gathering on a macro scale. With so much data flowing, a common thread is needed for actionable insights that are based on inputs. For online businesses, user behavior analytics and marketing are two sources of information, which trigger the need for taking action. Without efficient data optimization, there is poor use of money. It is due to the poor retention and lost conversations. Big data without action and insights becomes numbers without any real purpose. Most international online companies use big data to make improvements on customer, conversion marketing and website designs.[read more]

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5 Innovative and Diverse Uses of Big Data

December 22, 2015 by Daniel Matthews
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As we move into 2016, it’s worth looking at how people are using big data to do what they do. It’s exciting. From these real-life cases you can learn a lot about what big data is up to—you’re getting a peek into the workings of companies who are using this stuff in real-time, in different ways. From this peek, you can draw some conclusions about trends for 2016, about how industries are going to be using big data.[read more]

How Is Mobile Technology Impacting the Food and Beverage Supply Chain?

November 17, 2015 by Keith Peterson

Mobile technology is positively affecting businesses across the globe, allowing for real-time data transmission, instant collaboration, and the ability to access key business metrics from just about anywhere. With mobile supply chain applications, business owners in the food and beverage industry have greater insight into their everyday workflow – accessing data on the fly, enabling them to make better decisions faster.[read more]

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Control Business Costs with Workforce Analytics

November 16, 2015 by Sarah Smith

When something goes wrong in a company, the availability of analytics data should motivate employers to resolve quickly worker claims and take steps to address problems identified or predicted by their software.[read more]

How Predictive Analytics Will Affect Big Data’s Future

November 9, 2015 by Brigg Patten

Predictive analytics is one of the biggest trends in business today. There are many companies investing time and money into this area of their business. However, there is also a lot of new technology coming out in this sector of technology. Predictive analytics takes big data one step further.[read more]

Past, Present, and Future of Predictive Analytics: Our Analysis & Findings

November 3, 2015 by Aleksandra Besińska

We would like to share our short analysis on how the idea of Predictive Analytics & Big Data have changed over time and how we see the future of it. We focused on sectors interested in data, available software and skills needed to effectively analyze the data.[read more]

To Query or Not to Query: That Is the Question

November 2, 2015 by Radhika Subramanian

Analysts and data scientists continue to discover new ways to store more data and make our queries run faster, but the additional complexity of more data very quickly outpaces our ability to create more and better queries. The No Query approach requires that the algorithm computes the queries and ranks them based on relevance (like Google’s page rank algorithm).[read more]

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How Big Data Is Used in Crisis Response

October 27, 2015 by Jared Jaureguy

These days there are a variety of uses for big data. Advertising companies use it to understand and target customers. Elite sports teams analyze player performance. In the financial world, traders analyze it to make money. While that’s all well and good, there are other ways big data is used that are, arguably, more important.[read more]

Not Seeing the Results of Big Data? Maybe You Have a Lot of Data, Not Big Data

October 13, 2015 by Xander Schofield

Big data, everyone wants it, and most think they have it. But what you may have is simply a large quantity of data, not big data. Learn the difference and learn how to leverage both.[read more]

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The Apocalypse of Abundance: 5 Steps to End the Insanity of Information Overload

October 8, 2015 by Luca Scagliarini
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If you're like many of the people I know, the things you once enjoyed most about the Internet now make you feel overwhelmed or even left behind because you can't keep up--there's simply too much of everything.[read more]

From Master Data to Master Graph

October 6, 2015 by Peter Perera
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Today’s CRM and Master Data Management (MDM) technologies don’t enable complete customer knowledge. In fact, they unwittingly turn customer focus into customer tunnel vision. We need an epistemic graph database - a context-aware master graph - to make possible richer, fuller customer stories and expanded 360-degree views for total awareness.[read more]

Do Predictive Workforce Analytics Actually Work?

October 5, 2015 by Dave Weisbeck
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While many HR software vendors talk the talk of predicting “at risk employees,” how many can prove they walk the walk, and that their predictions actually work? How can you ensure a vendor’s claim to predict employee retention risks is valid? What should you look for?[read more]