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Predictive Analytics

Content Analysis and the Internet of Things: Never Leave the Fridge Door Open Again?

July 29, 2015 by Luca Scagliarini

Things are changing. Our interactions with the devices we employ through our daily lives are becoming more focused on communication. This prognostication seems obvious—people do not communicate via data, systems do. Nor do people process like systems, we process like people.[read more]

Using Procurement Analytics to Simplify Your Supplier Reconciliation

July 20, 2015 by Keith Peterson

Ask finance managers to name a necessary evil of their responsibilities and many will cite reconciling goods received against invoices not received (“GR-NI”). The GR-NI issue is time-consuming to manage but not exactly mission critical to finding new business.[read more]

Unlocking Big Data Means Truly Understanding the Customer Journey [INFOGRAPHIC]

July 13, 2015 by Andre Bourque

End-to-end big data analytics application provider Datameer found the most prevalent use case for big data is to better understand customer analytics. With consumers now interacting with companies across multiple, measurable channels, their interactions produce data that businesses can use to better respond to and anticipate customer needs.[read more]

Get the Most Out of Your Oracle Application

July 6, 2015 by Xander Schofield

With so many features and benefits it’s possible to get the most out of your oracle application. Oracle is used in virtually every large application due to its ability to integrate technology and pre-integrated, comprehensive business applications and the fact that fixing query performance can also be done fast.[read more]

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Data Does Not Equal Intelligence: Predictive Analytics in the Enterprise

June 30, 2015 by Ray Renteria

Modern enterprises run on data. However, much to some executives’ surprise, data itself is incapable of solving business problems. All the bits of information your teams collect are worthless when it comes to improving supply chain processes, fine-tuning marketing campaigns, closing deals or meeting any number of other business challenges, if you don’t understand how to create intelligence from it. To make the most of the influx of data coming into your company, you need to know the difference between data, intelligence and insight, as well as how to apply all three to predictive analytics.[read more]

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Adopting a User Behavior Analytics (UBA) Solution

June 25, 2015 by Idan Tendler

The key to stopping hackers & rogue employees already exists in the enterprise in the form of user related data repositories. With the right analytics that focus on user behavior, security analysts can gain much needed context to better understand the insider threats they face on a daily basis.[read more]

Even Chocolate Needs Smart Data

June 25, 2015 by Andre Bourque

How do you sell chipotle-accented chocolates and truffles with bourbon mash to those in the chocolate-loving populace who dream of pepper-laced confections and Kentucky sauced nuggets? You get smarter. The chocolate business, it turns out, is a lot like other conservative industries. Medical, construction, financial trading, and others are often reluctant to try the latest "new fangled" marketing techniques. Chocolate is the same way.[read more]

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Redefining Loyalty Programs with Big Data and Hadoop

June 11, 2015 by Dave Mendle

A loyalty program should not be about points, rewards, or status. While these perks may attract consumers, they don’t foster loyalty. The focus of these programs should be to collect useful data that can be used to build relationships that benefit both the consumer and the brand.[read more]

Solving Supply Chain Risks [INFOGRAPHIC]

June 4, 2015 by Keith Peterson

This infographic provides an overview of the most prevalent supply chain risks, the departments they affect, their financial impact on your business, and how they can be resolved.[read more]

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]