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Analytics

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]

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How Airlines Are Using Big Data: The Benefits and the Controversy

August 17, 2015 by Jonathan Buckley
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With big data now being used in so many different industries, it should probably come as no surprise to hear commercial airlines have been adopting big data analytics to improve their own businesses. Big data can be a highly versatile tool, something that helps companies be more responsive to change and become more prepared for the future. Airlines have long seen the inherent value in this and have slowly evolved to take advantage of big data’s strengths.[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]

Six IT Essentials for Life Science Systems Integration

August 11, 2015 by Glenn Johnson

Companies of all sizes, from early-phase start-ups to Big Pharma must continuously collaborate to ensure quality, comply with regulations, and mitigate risks in each stage of the product development life cycle. Here are six key requirements for a future-proof integration platform that can help meet the demands of life science organizations.[read more]

Want More Actionable Information from Your BI? Support Your IT Team’s Need for Data Warehouse Automation

August 6, 2015 by Keith Peterson

If your organization is relatively new to BI but has successfully built some new reports with one of the great visualization tools on the market, you will soon find yourselves in need of a better data organization environment.[read more]

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]