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Predictive Analytics

Is this data alive through deep learning and intelligence?

March 21, 2016 by Bruce Robbins

I read a description of deep learning as, 'a powerful set of techniques for learning in neural networks', it also described neural networks as 'a beautiful biologically-inspired programming paradigm which enables a computer to learn from observational data'. Both are tools that can be applied to data to do all kinds of useful things such...[read more]

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In a World Full of Data, Can Analytics See the Market Trends?

March 13, 2016 by Ryan Kh

The IoT has put an array of data before us, but can this information help us understand previously unpredictable trends? As computers get better at connecting all of this information – from common Twitter topics to Google searches – we may be nearing a time when computers will be better equipped to choose stocks than people.In the past,...[read more]

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No Time to Waste! 5 Essential Features for Your Information Intelligence Solution

February 29, 2016 by Luca Scagliarini

Strategic information analysis is one of the most important activities that your company can perform. The fruits of this labor, especially when consolidated throughout the organization, inform everything from marketing and innovation, to risk management activities. To achieve this level of performance, you’ll need more than a simple...[read more]

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Faster Analytics Equals Faster Advertising

February 24, 2016 by Ari Amster

Big Data has given rise to the era of data-driven advertising. Thanks to big data analytics platforms like hadoop vs. spark, today’s marketers can leverage massive amounts of unstructured data from multiple channels to gain actionable insights into customer activities, needs and behaviors. These insights can then be used to inform more...[read more]

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Yes, Computers Can Stereotype Now

February 18, 2016 by Ari Amster

ImageThe very thought that computers may be subject to some of the same biases and prejudices as humans can be frightening, but the unsettling reality is something we as a society need to confront before the problem proliferates. We have entered an era where things like big data, machine learning, and adaptive algorithms are becoming commonplace among businesses, learning institutions, healthcare providers, and more. In many cases, these learning algorithms and the use of data are meant to overcome some of the shortcomings of human thoughts and actions, eliminating the biases that creep into our minds without our even realizing it. Sadly, many of the same prejudices could be copied over into how computers solve problems. Even worse, those biases may actually be magnified, and having the best of intentions doesn’t prevent the problems from spreading.[read more]

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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 19, 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]