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Hygienic Hadoop Data Lakes Not Just Happenstance

February 23, 2015 by Paul Barsch

Risky Business column.

If you work with Hadoop on a daily basis you already know that data cannot simply be dumped into Hadoop’s file system and be of high value to rank and file business users. To be sure, data management is crucial if you’re planning on Hadoop serving as a true lake or “hub” for all your organization’s data.[read more]

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10 Amazing Data Analytics Platforms Everyone Should Know About

February 18, 2015 by Bernard Marr
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Big Data Guru column.

The past few years has seen an explosion in the number of platforms available for big data analytical tasks. The open source Hadoop framework is free to use, but very technical to set up and not specialized towards any particular job or industry. To use it in your business, you need a “platform” to operate it from.[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]

VC Investment Analytics on 20 Years of Investment Data

January 15, 2015 by Nilesh Jethwa

VC investment analytics.

In this article, we will perform straight analytics on a huge dataset available from https://www.pwcmoneytree.com/. PWC Money Tree provides a data dump of all the venture capital investments from 1995 onwards. Having data that goes that far back should give us what we need to extract interesting and helpful findings.[read more]

No, You Don't Need a Data Scientist Army to Understand Consumers

January 6, 2015 by Mark Harrington

Data scientist army.

Today's advances in consumer management technology are facilitating a paradigm shift for brands to achieve authentic understanding and generate genuine loyalty from their best customers. For brands that are embracing this technology, loyalty has shifted from a reactive, “wait and see” approach to a proactive, “design and drive” initiative, free of data-head squads.[read more]

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Is Your IT Architecture Ready for Big Data?

January 5, 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]

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The World’s Largest, Fastest, Most Agile Supply Chain

December 31, 2014 by Keith Peterson

Supply chain.

There is one shipping firm in the world, maybe the galaxy, that is counted on more than FedEx, UPS, and DHL combined. In fact, this organization has an even more complex supply chain. It takes its own orders, makes its own goods, and ships them all in one night.[read more]

Top 8 Big Data Trends That Marketers Should Care About

December 24, 2014 by Trips Reddy

Big data trends.

A recent Oracle study projects that big data will be a $50 billion business by 2017. As big data and advanced analytics become more mainstream, it’s vital for marketers to keep up with the trends that really matter, the solutions that push for data democratization and the easy-to-use tools that empower anyone within an organization to create, run and optimize real-world campaigns that drive engagement, loyalty and ROI.[read more]

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My 7 Big Data Favorites of 2014

December 24, 2014 by Tamara Dull

The Big Data MOPS Series.

To put a nice bow on this year’s big data discussion, I’d like to share some of my favorite content from 2014 from around the web. It wasn’t easy, but I narrowed the list down to 7 items, including articles, a comic book, a white paper, an infographic, and a video. Check out the list and see what you think.[read more]

Unify Brand, Agency, and Technology Efforts with Your Customer Data

December 21, 2014 by Rishi Shah

Park City, Utah.

While it may be a new concept for brands, owning and controlling your customer data does not need to be as daunting as it sounds. It’s as straightforward as listing your priorities, looking at what you’re bringing in-house from the agency, finding a technology partner that breaks down barriers instead of erecting them, and asking for data in its raw format so that you can use it, grow it and benefit from it.[read more]

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Changing Your Mind About Big Data Isn’t Dumb

December 8, 2014 by Paul Barsch

Risky Business column.

While big data technologies have enjoyed plenty of hype, there’s a new reality setting in regarding getting more value from big data investments. With this in mind, it's OK to step back for a moment, pause your programs for a time if necessary, and—yes, even change your mind about big data.[read more]

How Savvy Marketers Transform “Big Consumer Data” into Customer Wins

December 5, 2014 by Mark Harrington

Customer wins.

While many groups across the organization have focused on the need for significant data scientist operations to extract, synthesize and translate the massive amount of data spanning an array of fractured information sources, the Marketing team for many leading brands has raced ahead of the curve thanks to technology advancements that don’t require teams of data savants.[read more]

Intacct Improves Cloud of Collaboration, Payments and Reporting

November 27, 2014 by Robert Kugel

Top-ranked tech innovation priorities

Financial management software provider Intacct recently held its fourth annual user conference. The company used the occasion to announce Intacct Collaborate, a capability built into its software that enables finance and accounting organizations to work together to answer questions or resolve issues while performing a process.[read more]

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5 Ways Hadoop Can Help Healthcare Organizations and You

November 23, 2014 by Sameer Nori

Hadoop and healthcare

There are many different use cases for Hadoop in healthcare. Some of them include helping doctors, patients, and healthcare organizations include personalized treatment planning, assisted diagnosis, fraud detection, and monitoring patient vital signs. Learn how Hadoop is being implemented in each of these use cases.[read more]

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5 Common Use Cases for Hadoop in Retail

November 20, 2014 by Sameer Nori

Hadoop in retail

Retailers can focus on the shopper as an individual, rather than aiming at the masses and hoping to snag a few. Where there once were customer panels, in-store surveys, focus groups, and guesswork, there is now social media, online search behavior, and easy-access customer input.[read more]