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Predictive Analytics

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]


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]


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]


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

October 8, 2015 by Luca Scagliarini

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

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

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]


Saving Money and Lives With Predictive Maintenance

October 2, 2015 by Saar Yoskovitz

It’s more important than ever to think about how we can employ predictive maintenance to keep everything, from our air conditioners to our cars, in working order. Most people only know of two ways to maintain machines — reactive maintenance or preventative maintenance. But these aren’t always the best or most cost-efficient processes.[read more]

How Big Data Is Changing the Way You Fly

September 28, 2015 by Mark Ross-Smith

As airlines and frequent flyer programs gather more intelligence on your day to day lifestyle, flying and financial position - they begin to build a data profile on your interests, goals, psychometric assessment, your motivations to engage with a brand at any given every point throughout the day, what has driven you to purchase in the past – and most importantly – where your thresholds are.[read more]

Forecast Product Demand with Confidence

September 9, 2015 by Keith Peterson

Is your company using demand forecasting in your planning process? And are you happy with those results? Based on our interviews with hundreds of companies worldwide, we have found that among midsize manufacturers and distributors, many still use error prone spreadsheets or forecast based on historical sales data.[read more]

What Is Your Big Data Analytics Stack?

August 21, 2015 by Radhika Subramanian

We often get asked this question - Where do I begin? How are problems being solved using big-data analytics? To answer this question we need to take a step back and think in the context of the problem and a complete solution to the problem.[read more]

Automate the Boring But Essential Parts of Your Data Warehouse

August 12, 2015 by Keith Peterson

To deliver on your company’s future demands for data and insights, you will need to maintain your existing data warehouse – and add the great new capabilities available with big data management and in-memory analytics. The real opportunity is in making those technologies work together smoothly with minimum effort and risk.[read more]