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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]

Getting to the Business of Big Data: Overcoming the Marketer's Dilemma

December 13, 2014 by Gayle Nixon

Big data.

Before you push data into any new marketing technology, ask yourself how confident you are in the accuracy and completeness of that data. Every data error diminishes the potential return on investment you could receive from that new technology.[read more]

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From Police to Partner: The Changing Role of IT

December 12, 2014 by Tom Smith

IT security / shutterstock

IT professionals must adopt a new role that strikes a balance between employee needs and preferences and security. Here are four things you need to effectively become a partner rather than a policeman, while maintaining a secure company infrastructure.[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]

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Big Data and the Internet of Things: Two Sides of the Same Coin?

December 10, 2014 by Tamara Dull
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The Big Data MOPS Series.

What is the relationship between big data and the Internet of Things? There is clearly a relationship between big data and IoT. The Mauritius conference helps confirm that. In fact, I would propose that big data is a subset of the IoT discussion.[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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The 6 Things Everyone Needs to Know About the Big Data Economy

December 9, 2014 by Bernard Marr
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The Big Data Guru column.

Big data is moving on. We’re moving past the stage where it’s something only trailblazers and early adopters are on board with, towards a time when if you aren’t analyzing data to help you make better business decisions, you’re in danger of being left behind.[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]

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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]