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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]

Compensation of Data Scientists: Insights from the Past Year

July 24, 2015 by Linda Burtch

We are pleased to present our update to the first-of-its-kind 2014 report, The Burtch Works Study: Salaries of Data Scientists. This year, we compiled information on 371 data scientists for whom we know compensation as well as in-depth demographic information and job characteristics.[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]

Big Data: Where Did All The Water Go?

July 15, 2015 by Shawn Gordon

Nighttime Flow Analysis works by using an optimal time to analyze for leaks. This is typically at night, when household water consumption is significantly low. At the lowest point, the observed GPM from the area is entered into the solution. By comparing this observation to the expected flow, the utility can iterate through different Sub-DMA configurations and target the problems so they are fixed much sooner.[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]

Taking the Mystery Out of Big Data

July 10, 2015 by Doug Lautzenheiser
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In the not-so-distant past, firms tracked their own internal transactions and master data (products, customers, employees, and so forth) but little else. Companies probably only had very large databases if their industry called for high-volume and high-speed applications such as telecommunication, shipping, or point of sales. Even then, these transactions were all formatted in a standard way and could be saved inside the relational database IBM designed in the 1960s.[read more]

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Big Data for SMEs

July 9, 2015 by Bruce Robbins

I can see a large number of advantages for SME's in using big data technology on small and private data sets but are there also many reasons for them to look to Big Data itself. A recent survey we ran found that it is the top priority for SME's but first of all; what is big data?[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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A Day Late and Big Data Architecture Short

June 29, 2015 by Paul Barsch

In the mad-dash to “do something” in big data without a strategy, IT managers and business users alike seem to continuously jump on the latest technology (today it’s Spark) and thus become inevitable case studies for Gartner’s well documented hype cycle.[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]

Figure Out Why You Should Use Big Data Before You Figure Out How

June 24, 2015 by RK Paleru
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This is about the approaches to “big-data” technology. However, I start with a little detour and analogy on innovation. The purpose of this analogy is to trigger “Enterprise IT Organizations” to think outside convention before embarking on a journey to adopt or build “big-data," “data management,” “data integration” and related services.[read more]

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Privacy Concerns Are Slowing Big Data Adoption Within Healthcare

June 23, 2015 by Jonathan Buckley

The problem is a lack of transparency and openness that exists in the healthcare system. Most patients don’t understand how their information is being used, or what data is shared. They don’t know if their identities remain private and if hospitals are treating their documents carefully with proper security measures in place. That’s a lot of ambiguity for such important and sensitive material.[read more]

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Big Data Hadoop Use Cases in the Oil and Gas Industry

June 22, 2015 by Dave Mendle
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While U.S. oil production has begun expanding - so much so that the International Energy Agency predicts that by 2016 the US will surpass Saudi Arabia and Russia - the rest of the world’s oil production has ceased to expand. In an effort to streamline and optimize oil and gas production methods, advances in instrumentation, process automation, collaboration, and data management are being developed.[read more]