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Predictive Analytics

When Big Data Can’t Predict

December 9, 2016 by Bill Franks

Most people think that in the age of big data, we always have more than enough information to build robust analytics. Unfortunately, this isn’t always the case. In fact, there are situations where even massive amounts of data still don’t enable even basic predictions to be made with confidence. In many cases, there isn’t much that can be...[read more]

IIoT Benefits & Security Considerations for Sensor-2-Server

November 30, 2016 by Scott Allen

SCADA will likely always have value for industrial communications but, going forward, there will be an increase in the use other technologies as well. Additionally, with more technology physically in the field, there is always going to be a focus on data security.[read more]

Are You Ready For Artificially-Intelligent Enterprise Applications?

November 18, 2016 by Timo Elliott

We’re now clearly in an exponential technology world. Each year brings the same amount of innovation as the previous several years — and the human brain finds it hard to imagine the consequences.For perhaps the first time in history, technology is evolving faster than we expect it to. For example, experts estimated that it...[read more]

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Will Predictive Analytics and POS Save Small Retailers from Extinction?

November 4, 2016 by Rehan Sheikh

Global brick-and-mortar retailers are struggling to compete against their digital rivals. Smaller retailers have been suffering the most, because they can’t compete on the same margins as larger competitors. Some experts have warned that small retailers will eventually be extinct. According to Marc Bain:“In a recent survey (pdf), 58% of...[read more]

Why I’m Teaching Twitch to Predict the Future

October 31, 2016 by Daniel Hernandez-Stewart

Predicting the future is not a theoretical superpower. It is a skill we already rely on to make decisions, and like any other skill it can be rapidly improved with deliberate practice. Unsurprisingly, deliberate practice looks like making predictions within a domain and comparing the results to reality. This year I’ve built a culture of doing just that at Twitch. It’s the most exciting work I’ve ever done.[read more]

Access Layer Data and Sensor-2-Server

October 28, 2016 by Scott Allen

S2S is intelligent communication that begins at the sensor level and targets servers for specific reasons. These servers could include anything from a SCADA data server, that collects and monitors through the SCADA system, or a Big Data engine. S2S could be leveraged in a predictive analytics environment or server farm that compares data at rest to data in motion at the access layer of the network.[read more]

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The True Vision of Big Data in Healthcare

October 19, 2016 by Jared Jaureguy
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From the impact of wearable technology to the potential for boosting cancer research, there’s been a lot of buzz about big data in the healthcare space. However, the true vision of big data in healthcare lies not in individual data collection or disparate applications, but in the potential of combining healthcare data to create new...[read more]

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Predictive Analytics: The Dos and Don'ts

October 17, 2016 by Rado Kotorov
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For organizations looking to make the most out of their relationships and processes, the discovery of meaningful information via analysis can often prove valuable and lead to substantial insight. Data that reveals facts about customers, for example—such as identifying customers who cancel accounts and leave for the competition, those in...[read more]

A Shortcut Guide to Machine Learning and AI in The Enterprise

October 10, 2016 by Timo Elliott

Predictive analytics / machine learning / artificial intelligence is a hot topic – what it’s about?Using algorithms to help make better decisions has been the “next big thing in analytics” for over 25 years. It has been used in key areas such as fraud the entire time. But it’s now become a full-throated...[read more]

6 Predictions About the Future of Predictive Analytics

October 3, 2016 by Larry Alton

Predictive analytics is already taking the business world by storm, serving as a powerful and reliable way to improve customer relations and businesses in general. But as a technology, it’s always developing at an accelerated rate; and as marketers, analysts, and business owners, we need to be prepared for what’s next. Predicting the...[read more]

4 Customer Retention Metrics for Data-Driven Ecommerce

September 21, 2016 by Eran Levy

Running an eCommerce business is a challenging task. In addition to managing a huge scale of shipments and vendors, there are frequently multiple channels to manage as well. Those channels could include Amazon, eBay, Google Store, Rakuten, Alibaba, Etsy, as well as a self-managed website.One aspect that can have a major impact on your...[read more]

Why Embedded Analytics is a Game Changer for UX

August 20, 2016 by Eran Levy

As a quick recap, embedded analytics generally means including consumer-facing BI and analytics tools within a separate application, as part of the native application itself rather than a separate platform (if you want to learn more about this, you can check out the beginner’s guide to embedded data analytics, or discover why we think...[read more]

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Big Data and the Evolution of Supply Chain Planning

August 17, 2016 by Andrew Armstrong

A look at how Big Data analytics are helping companies to overcome some of their biggest supply chain challenges, especially those related to shorter product lifecycles and rapid scaling.[read more]

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4 Benefits of Big Data for Ecommerce Owners and Shoppers

August 8, 2016 by Abdullahi Muhammed
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In the scope of ecommerce, big data analysis is the collection of large amounts of information in order to determine shopping patterns and insights about customer behavior. Using big data has a lot of added benefits for both the seller and consumer.[read more]

Intermixing Big Data and IoT to Create Smart Cities that Improve Life

August 6, 2016 by Ryan Ayers

With big data analytics, our generation has the ability to process large amounts of information, and use it to suit our personalized needs wherever we go. When big data and information technology are combined in our major cities, efficiency and effectiveness get stronger making the quality of human life better.[read more]