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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]

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]

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]

Don’t Get Caught With These Obsolete Digital Marketing Strategies

December 7, 2014 by Jason Bowden

Marketing strategies.

Building a digital marketing department is now considered to be an old school in digital marketing. Not only can this strategy drain your marketing budget, you no longer need to employ more people to conduct your marketing campaigns. The digital sphere has provided marketers the opportunity to grow their sales with less effort and less number of people needed to accomplish their marketing goal.[read more]

Data Innovation in Africa

December 6, 2014 by Travis Korte

Africa.

While many commentators have focused on data-driven innovation in the United States and Western Europe, developing regions, such as Africa, also offer important opportunities to use data to improve economic conditions and quality of life. Three major areas where data can help are improving health care, protecting the environment, and reducing crime and corruption.[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]

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Scary Security Concerns With the Internet of Things

December 5, 2014 by Rick Delgado

IoT.

Internet security is already a multibillion dollar industry, and having to add new features in order to grant greater protection for the new IoT promises to make this industry ever more expansive. However, this means that the burden of promising to provide the utmost in security is even greater than before.[read more]

Buyers Beware: Data Visualization Is Not Data Analytics

December 5, 2014 by Eran Levy

Data analytics.

The term Business Intelligence solution can be a deceiving one. Many software solutions that call themselves BI can actually only offer you half of what you need. Here it’s important to make the distinction between two types of business analysis and intelligence tools: end-to-end solutions and ones that are merely front-end.[read more]

Healthcare.gov Orders Up 100TB of Cloud Storage

December 4, 2014 by Natalie Lehrer

Healthcare.gov

Healthcare.gov allows Americans to purchase health care plans that can become effective on January 1st 2015 if users sign up successfully before December 15th. Healthcare.gov was embattled last year because of its much publicized shaky start. Most of the kinks seem to be worked out of the system as most users are not reporting any problems when signing up for new health care plans though the website.[read more]

Is Your CRM Data the Elephant in the Room?

December 4, 2014 by Martin Doyle
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CRM data elephant.

Ditch primitive capture methods, such as spreadsheets and Word documents. Ensure your CRM software has data quality modules that perform automatic checks on data. And invest in enhancement and enrichment of data so that you can understand more about your market and segment your customers more effectively.[read more]

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Leveraging the Cloud to Optimize Software Testing

December 4, 2014 by Anand Srinivasan

Software testing.

Like every other aspect of technology servicing, software testing too has been seeing a gradual migration to the cloud over the past decade. A 2010 study by Fujitsu revealed that testing and development tools were the second most widely used cloud applications (website services being the first).[read more]

How Big Data, and Critical Thinking, Lead to Business Value

December 3, 2014 by Julie Hunt

There is irony behind a discussion of the business value and metrics related to big data analytics, since there are a lot of people in the business world who still don't understand much about big data, including people who think they do have a handle on big data.[read more]