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Unstructured Data

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]

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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]

5 Ways That Qantas Is Using Data to Delight Customers and Build Loyalty

June 18, 2015 by Trips Reddy

While many retail, sports, manufacturing, healthcare and entertainment companies are already using data to improve customer experiences, the airline industry hasn’t caught up yet. But a handful of airlines are trying to change both this. By using a customer data platform like Umbel to merge web, mobile and social data from multiple sources, and training their staff to use this data better, airlines like Southwest, United and Qantas are using actionable data insights to deliver personalized customer experiences that delight flyers and build loyalty.[read more]

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Is Your Data Big?

June 15, 2015 by Dave Mendle
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So you’ve heard all the buzz about data. It’s big. Apparently, big data is all around us. That’s what they say anyway. Truthfully, it can be difficult as a business owner to identify where you stand in the grand universe of big data. How big is your data? How are you using it? Would you benefit from using the right big data technology? In short, how do you know if your business is part of this big data revolution? Well, let me help you answer that.[read more]

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Using Recommendation Engines to Reduce Subscription Service Churn

June 12, 2015 by Dave Mendle

Recommendation engines are the digital version of the pot of gold at the end of the Big Data rainbow. Imagine being able to know, in near-time, what your customers really want and when they want it. For a subscription service, the gold is even brighter: You can deliver your customers’ desires directly to them, leading to a dramatic reduction in churn.[read more]

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Redefining Loyalty Programs with Big Data and Hadoop

June 11, 2015 by Dave Mendle

A loyalty program should not be about points, rewards, or status. While these perks may attract consumers, they don’t foster loyalty. The focus of these programs should be to collect useful data that can be used to build relationships that benefit both the consumer and the brand.[read more]

13 Retail Companies Using Data to Revolutionize Online & Offline Shopping Experiences

May 21, 2015 by Trips Reddy

Shopping experience. 

According to a report by McKinsey & Company, despite the e-commerce boom, brick-and-mortar stores will still account for approximately 85% of U.S. retail sales in 2025. While slow to catch up with the digital revolution, retail brands are starting to rethink business models and leverage technology to reinvent the in-store customer experience. Interactive digital displays, touchscreens, digital storefronts, magic mirrors, virtual dressing rooms and in-store kiosks (to order out-of-stock items) are transforming how consumers interact with products in physical stores.[read more]

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The Data Lake Debate: Pro Delivers Final Rebuttal and Summary

April 27, 2015 by Tamara Dull

Okay, this is where the rubber meets the road. I have three minutes (or ~450 words) to respond to Anne’s final statement and summarize why I still believe a data lake is essential for any organization to take full advantage of its data. Let’s get started![read more]

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Media & Entertainment Industry Casting Call: High Resolution Digital Assets Offer New Role for Petabyte Storage

April 14, 2015 by Russ Kennedy

Petabyte.

Data size is quickly outpacing storage space in the media and entertainment industry, and object-based storage can play a pivotal supporting role to help companies meet growing challenges[read more]

Digital Reasoning Goes Cognitive: CEO Tim Estes on Text, Knowledge, and Technology

April 13, 2015 by Seth Grimes

Tim Estes.

Digital Reasoning CEO Tim Estes sees cognitive computing -- data, applications, analytics, and machine learning algorithms -- as the providing the brains to drive global enterprises. Cognitive is a next computing paradigm, responding to demand for always-on, hyper-aware data technologies that scale from device form to the enterprise.[read more]

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The Data Lake Debate: Pro Cross-Examines Con

April 6, 2015 by Tamara Dull

The Data Lake Debate.

As to be expected, Anne, your arguments against building a data lake are both persuasive and passionate. You’ve made some great points, my friend, but you’re making this way too easy for me. Before I jump into my rebuttal [my next post], I’d like to clarify a few things that you brought up. I’ve boiled it down to three questions. What say you?[read more]

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Data Lakes and Network Optimization: What’s Next for Telecommunications and Big Data

March 31, 2015 by Sameer Nori

Telecommunication. 

Relational data warehouses served communications service providers well in the past, but it’s time to start thinking beyond columns and rows. Unstructured data will be the fuel that powers risk management and decision-making in the near future. And to use all sorts of data to its fullest potential, we need new ways of storing, accessing and analyzing that data.[read more]

Aligning Big Data

January 18, 2015 by Martyn Jones

Aligning big data.

This is an overview of the realignment and placement of Big Data into a more generalized architectural framework, an architecture that integrates data warehousing (DW 2.0), business intelligence and statistical analysis.[read more]

2015: The Year of IoT Pioneers, Analytics and Data Privacy

January 16, 2015 by Puneet Pandit

2015.

This past year welcomed widespread Internet of Things (IoT) adoption and hype, big data implementation, and growing concerns around data privacy and cloud deployment. As 2014 draws to a close, we look ahead with much anticipation for what promises to be a signature year for machine learning, predictive analytics, new IoT pioneers and a full overhaul in the distribution of the IoT.[read more]

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Is Your IT Architecture Ready for Big Data?

January 6, 2015 by Paul Barsch

Risky Business column.

Companies desperately need to assess their current situation and future business needs, and then design and deliver on a IT architecture that will deliver insights from all data types.[read more]