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22 Key Big Data Terms Everyone Should Understand

December 16, 2014 by Bernard Marr
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The Big Data Guru column.

I have attempted to provide simple explanations for some of the most important technologies and terms you will come across if you’re looking at getting into big data.[read more]

IoT Field Notes: How Do People Start?

December 16, 2014 by James MacLennan

Pass GO!

When introducing the idea of “information as a product or service,” it’s fascinating to see how different companies want to start. I don’t mean start the conversation – that part of the process seems to take care of itself. I will send emails and engage in phone & hallway conversations to gauge initial interest; when we sit down for our first chalk talk, the IoT Framework helps to keep things going.[read more]

Next-Gen Business Analytics Paving the Way to Success in 2015

December 15, 2014 by Sandro Saitta

Next-gen business analytics.

Business analytics give arrangements which help to settle on key choice and business strategies by gathering expansive data and information. You would find that it does have not simple but complex data like profits, losses, transactions, marketing return, customer feedback and so forth.[read more]

Detroit’s Tech Renaissance Enhanced by Infrastructure Development

December 15, 2014 by April Sage

If the burgeoning economic renaissance in the city of Detroit is to fully take root, there’s some serious infrastructure work to be done. And not just “infrastructure” in terms of fixing the crumbling roads or creating mass transportation options, like the M1 Rail streetcar project.[read more]

Alfred Hitchcock and a Classic Forecasting Scam

December 15, 2014 by Michael Gilliland

Alfred Hitchcock.

Suppose you received an email from a self-proclaimed forecasting savant, advising you of a big upset in the upcoming mayoral election...and it turns out to be correct. You then get an email picking the underdog in the next championship boxing match...which is right again.[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]

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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]

How Much Longer Until Flash Storage is the Only Storage?

December 12, 2014 by MIKE20 Governance Association

Flash storage.

In terms of trends, few are as clear and popular as flash storage. While other technology trends might be more visible among the general public (think the explosion of mobile devices), the rise of flash storage among enterprises of all sizes has the potential to make just as big of an impact in the world, even if it happens beneath the surface.[read more]

Ignore Your Business, Rake in the Profits

December 12, 2014 by Bill Franks

Analytics.

Bring together a few people for several hours. Bring an inventory of the various data sources your organization has access to. Then, brainstorm ways that the analysis of that data can be of value to anyone except your organization. Don’t talk about understanding your business with the data, but rather talk about what opportunities the data can support for others outside the organization.[read more]

The Well-Architected Data Model: Can an Industry Data Model Support Physical Instantiation?

December 11, 2014 by Ryan Garrett

Data.

A recent blog “Why use an Industry Data Model?” discussed how industry data models bring exceptional business value to customers by providing a logical “blueprint” for data integration and enterprise analytics within well-defined business spaces. If this data model is expanded to include a template industry physical data model (iPDM), can the model realistically be expected to support a database physical implementation?[read more]

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Power to the Tablets: The BYOD Bullseye

December 11, 2014 by Rick Delgado

BYOD.

The transition to BYOD won’t be easy, but it’s certainly a path employers should invest in. The benefits of allowing employees to use familiar devices, coupled with new tech improvements, will improve business operations and quality of work.[read more]

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Employee Analysis: How Growth in Employee Strength Relates to Profits

December 11, 2014 by Nilesh Jethwa

Employee analysis.

In this article, we will perform some analysis on the employee related metrics from the top tech companies. All of the top tech companies are selected based on their current market capitalization with the exception of Yahoo. The year 2014 is not included as part of this analysis.[read more]

How to Stay Out of Cash Flow Crises Using Cash Position Analysis

December 10, 2014 by Keith Peterson

Cash position analysis.

Cash flow is the lifeblood of every company. Diligent financial analysis, including the Cash Position Waterfall, is an essential component to monitoring the current health of your business. However not all of us are financial analysts who like to wade through detailed spreadsheets.[read more]

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Is Risk Assessment Using Big Data the Future?

December 10, 2014 by Anand Srinivasan
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Risk assessment.

A recent research study conducted by Infosys Labs found that the accuracy of risk assessment using traditional parameters like demographic data and credit history increases when this data is augmented with social data.[read more]

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What the Ebola Crisis Has Taught Us About Big Data

December 9, 2014 by Gil Allouche

Ebola.

There is tremendous potential for big data analytics in healthcare. Hospitals and pharmaceutical companies are already using it for research and diagnoses. There is also tremendous potential in using big data for disease prevention. Back in March, HealthMap predicted an Ebola outbreak about 9 days before the World Health Organization (WHO) formally announced the epidemic.[read more]

Looking for Hard to Find Data?

December 9, 2014 by Larisa Bedgood

Hard to find data.

We have all heard of Big Data, but how many of us have heard of Data-as-a-Service (or DaaS)? Still a relatively new concept, DaaS is primed to make a huge entrance in 2015 – it is the game changer that is completely revolutionizing marketing.[read more]

Collaboration Between Teams Using the Same Data in Different Ways

December 8, 2014 by Peter James Thomas

Collaboration.

The title of the discussion thread posted was “Business Intelligence vs. Business Analytics: What’s the Difference?” and the original poster was Jon Dohner from Information Builders. To me the thread topic is something of an old chestnut and takes me back to the heady days of early 2009. Back then, Big Data was maybe a lot more than just a twinkle in Doug Cutting and Mike Cafarella‘s eyes, but it had yet to rise to its current level of media ubiquity.[read more]

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3 Cloud Misunderstandings That Can Hamper Migration

December 8, 2014 by Suraj Kumar

Cloud.

Like any other technology, the cloud has strengths and weaknesses and it’s important not to forget this. Problems can occur when your sole focus of attention is on the benefits the cloud can bring to your business, and you choose to ignore the weakness of the cloud model you have chosen.[read more]