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Big Data

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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]

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Business (NOT) as Usual: 3 Big Business Intelligence Predictions for 2015

December 30, 2014 by Ray Major

BI.

Each year, I work with dozens of clients in a quest to help them effectively implement their Business Intelligence systems. And each year, based on my experiences, I have put together a top 10 list of trends and predictions for the upcoming year.[read more]

Big Data: To Analyze or Not to Analyze

December 29, 2014 by Richard Boire

Big data.

Much has been written about Big Data and how it changes all facets of our lives. But the important and more relevant perspective is the ability to act on the information in real-time. However, this has nothing to do with analytics. Let’s take a look at some examples to better understand this comment.[read more]

Big Data Claims Another Victim [VIDEOS]

December 26, 2014 by Eran Levy

Big data victim.

Big Data anxiety is not something to be scoffed at, as those of us working in business analysis know. Many a data wizard has fallen victim to the crush of terabytes of data piling on to Excel spreadsheets that can’t quite handle the weight. But we have a solution. Follow David, a typical analyst, as he finds the path to a better data future.[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]

How to Improve Your Receivables Position With Better Risk Analysis

December 23, 2014 by Keith Peterson
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Risk analysis.

If you drive a car then you know what a dashboard is. There are two main gauges that we are all very familiar with – the speedometer and the fuel gauge. The other gauges we don’t usually take much notice of. It is a similar story if you are running a business – the speedo is revenue and the fuel gauge is money in the bank, and it is those two measures most businesses keep an eagle eye on.[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]

Data Savvy Business Roles for Better Analytics Outcomes

December 19, 2014 by Julie Hunt

Data analyst.

To put data and analytics to work usually requires multiple roles, not just one, to achieve ongoing value and to align with company functions. No one person can provide all the skills and expertise that are needed. A variety of viewpoints, knowledge and experience need to come into play to get the most from processing and analyzing data.[read more]

10 Ways Big Data Is Revolutionizing Manufacturing

December 19, 2014 by Shiraz Datta

Manufacturing.

McKinsey & Company recently published How Big Data Can Improve Manufacturing which provides insightful analysis of how big data and advanced analytics can streamline biopharmaceutical, chemical and discrete manufacturing.[read more]

Data Is for Life, Not Just for Christmas

December 19, 2014 by Martin Doyle

Christmas data.

The data you collect this Christmas will fuel your efforts in the year to come, and the quality of that data will influence your successes and failures. As such, it makes sense to collect that data properly, nurture it correctly and store it responsibly.[read more]

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Cyber Security: Locking Out the Grinch from Your Application Network

December 18, 2014 by Bob Dvorak

Security.

How do you leave your chimney open for Santa while keeping the Grinch safely locked out? The right application management strategy can help outline where vulnerabilities lie and how to fix security weaknesses, minimizing your organization’s overall attack surface.[read more]

3 Ways Santa Claus Uses Big Data This Holiday Season

December 18, 2014 by Mark van Rijmenam
1

Santa town.

Retailers can benefit from Big Data in multiple ways and these three use cases are only the beginning. In the coming years we will see more examples of retailers using Big Data to improve their quality, improve contract management or improve their marketing and communications.[read more]

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New Generation of Technology Will Rely on Analytics, Study Shows

December 16, 2014 by Jeff Brown

“We are in a time of profound change for business, technology and IT leadership,” said Leon Kappelman, Ph.D., Professor at the University of North Texas and SIM’s lead researcher and Professor of Information Systems at the University of North Texas. “Results show the focus of IT organizations and their leaders is changing, with a new emphasis on business value, strategy, innovation and speed.”[read more]

Open Data Grey Areas

December 14, 2014 by MIKE20 Governance Association

Open data.

“The trustworthiness of open data,” Boswarva explained, “depends on the particulars of the individual dataset and publisher. Some open data is robust, and some is rubbish. That doesn’t mean there’s anything wrong with open data as a concept. The same broad statement can be made about data that is available only on commercial terms. But there is a risk attached to open data that does not usually attach to commercial data.”[read more]