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Predictive Analytics

More Than Just a Title: How to Identify a Data Scientist

May 27, 2015 by Linda Burtch

Data scientists apply sophisticated quantitative and computer science skills to both structure and analyze massive unstructured data sets or continuously streaming data, as well as derive insights from the data and prescribe action. The depth of their coding skills distinguishes them from other predictive analytics professionals, and allows them to exploit data regardless of its source, size, or format.[read more]

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The Growing Relationship Between Drones and Big Data

May 12, 2015 by Jonathan Buckley

Drone.

Big data seems to be everywhere, used by every industry, and embraced by every organization. While that’s admittedly a bit of an exaggeration, it’s become clear in the past few years how valuable big data can be no matter where it is used. At the same time the big data trend has grown in popularity, the use of drones has also taken off, in a manner of speaking.[read more]

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The Road to (Customer) Success: The First Three Months

April 21, 2015 by Don MacLennan

Road to success.

Get started on the right foot! Though it is somewhat cliche, you should definitely keep this in mind when working with a new customer. The end of a positive sales campaign doesn’t mean the journey has ended; it simply marks the beginning of a new road, one that when approached correctly, will lead to customer success. An impactful road to customer success should follow these steps in the first three months.[read more]

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Can Big Data Analytics Fight Poaching?

March 19, 2015 by Jonathan Buckley

Big data and poaching.

The black rhinoceros is one of the most endangered animals on the planet. In 1970, around 65,000 of them roamed southern Africa, but today, recent estimates say there are just over 5,000 remaining. Poaching of this species has led to an ecological disaster. Without dwelling on the problem, what are the solutions?[read more]

Using Decision Modeling to Make Predictive Analytics More Pervasive

February 25, 2015 by James Taylor

Predictive analytics.

So what is a decision requirements model? A decision requirements model describes the structure of the decision making involved in a decision you make over and over again like approving claims, pricing deals, making marketing offers or picking suppliers.[read more]

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Four Ways to Develop Customers for Life

February 24, 2015 by Don MacLennan

SaaS.

With the advent of Software as a Service (SaaS) and other subscription-based business models, Don discusses why it’s more pressing than ever to prevent churn. Your business can reach a 20 percent higher multiple in valuation with just a 2 percent reduction in churn.[read more]

Business Analytics Error: Learn from Uber’s Mistake During the Sydney Terror Attack

January 24, 2015 by RK Paleru
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Uber.

Recently, as a sad day of terror ended in Sydney, a bad case of Uber’s analytical approach to pricing came to light - an “algorithm based price surge.” Uber’s algorithm driven price surge started overcharging people fleeing the Central Business District (CBD) of Sydney following the terror attack.[read more]

2015: The Year of IoT Pioneers, Analytics and Data Privacy

January 16, 2015 by Puneet Pandit

2015.

This past year welcomed widespread Internet of Things (IoT) adoption and hype, big data implementation, and growing concerns around data privacy and cloud deployment. As 2014 draws to a close, we look ahead with much anticipation for what promises to be a signature year for machine learning, predictive analytics, new IoT pioneers and a full overhaul in the distribution of the IoT.[read more]

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Big Data: The Secret Snacking Ingredient

January 9, 2015 by Gil Allouche

Big data and snacks.

Companies are looking to use the vast amounts of information on consumer behavior to figure out which products to make, and where to focus their efforts. The right data and analytical tools can help manufacturers understand taste preferences and which retailers cater to which consumers.[read more]

Predictive Analytics Interview Series: Pasha Roberts at Talent Analytics

January 8, 2015 by Eric Siegel

Pasha Roberts.

We interviewed Pasha Roberts, Co-Founder and Chief Scientist at Talent Analytics Corporation. View the Q-and-A below to see how Pasha has incorporated predictive analytics into the workforce of Talent Analytics Corporation. Also, glimpse what’s in store for the new PAW Workforce conference.[read more]

Customer Data Quality: What Is the Value-at-Risk?

January 7, 2015 by Gayle Nixon
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Value-at-Risk.

If you work in financial services or, more specifically, Capital Markets, then you are likely to be familiar with the concept of VaR or “value at risk.” VaR is a statistical calculation used in finance to incorporate a quantifiable measure of the financial risk that an asset (or a portfolio of assets) will decline in value.[read more]

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The World’s Largest, Fastest, Most Agile Supply Chain

December 31, 2014 by Keith Peterson

Supply chain.

There is one shipping firm in the world, maybe the galaxy, that is counted on more than FedEx, UPS, and DHL combined. In fact, this organization has an even more complex supply chain. It takes its own orders, makes its own goods, and ships them all in one night.[read more]

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Business (NOT) as Usual: 3 Big Business Intelligence Predictions for 2015

December 30, 2014 by Ray Major

BI.

Each year, I work with dozens of clients in a quest to help them effectively implement their Business Intelligence systems. And each year, based on my experiences, I have put together a top 10 list of trends and predictions for the upcoming year.[read more]

Top 8 Big Data Trends That Marketers Should Care About

December 24, 2014 by Trips Reddy

Big data trends.

A recent Oracle study projects that big data will be a $50 billion business by 2017. As big data and advanced analytics become more mainstream, it’s vital for marketers to keep up with the trends that really matter, the solutions that push for data democratization and the easy-to-use tools that empower anyone within an organization to create, run and optimize real-world campaigns that drive engagement, loyalty and ROI.[read more]

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New Generation of Technology Will Rely on Analytics, Study Shows

December 16, 2014 by Jeff Brown
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“We are in a time of profound change for business, technology and IT leadership,” said Leon Kappelman, Ph.D., Professor at the University of North Texas and SIM’s lead researcher and Professor of Information Systems at the University of North Texas. “Results show the focus of IT organizations and their leaders is changing, with a new emphasis on business value, strategy, innovation and speed.”[read more]