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Robot HR: How HR is Contributing to Unemployment

September 23, 2014 by Shawn Gordon

Did human eyes ever see your resume?

We have all these tech companies screaming for more H1B visas and in reality, there is probably plenty of talent right here in the US, but HR is standing in the way of the two active parties in many cases, or lawyers in the way in others. There has to be a better way to connect interested companies with willing talent.[read more]

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CAPEX Deferred Eventually Makes the Company Sick

September 22, 2014 by Paul Barsch

Risky Business column.

Instead of investments in IT, machinery, buildings and more, CEOs and CFOs are content to predominantly spend cash on stock buy-backs and/or dividends. Deferring CAPEX spend, or “sweating the assets” will work for a little while, but it’s not a strategy for long-term success.[read more]

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Big World, Big Data: The Modern Day Impact on Traditional Industries

September 22, 2014 by Monte Zweben
1

Big data.

While Big Data has the power to change the world, you have the opportunity to use it to change your own operations. Incremental, data-driven change may not get the headlines, but it could get your business to the head of its field.[read more]

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Potential Hurdles Limiting the Internet of Things

September 19, 2014 by Rick Delgado

The internet of things.

The hype surrounding the Internet of Things (IoT) is immense. The basic premise behind the IoT is to connect everyday objects to the internet through tiny sensors, allowing them to communicate with businesses, consumers, and each other.[read more]

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The Demise of the Data Scientist: Heresy or Fact?

September 18, 2014 by Richard Boire

Data scientist. 

One article from an IT leader of a well-respected U.S. organization hypothesized that data scientists will in the future become like switchboard operators:obsolete. The primary reason for this declining demand according to the author was that increased automation and operationalization of business processes will not require the technical skills of the data scientist.[read more]

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The Societal Shift of Self Driving Cars

September 18, 2014 by Shawn Gordon

Self driving cars.

We are currently approaching a cross roads in transportation that we really haven’t seen since the transition from the horse drawn carriage to the internal combustion engine automobile. Namely, the self driving car. Google, quietly and with no fanfare, until announcing in August 2012 that they had logged over 300,000 miles of accident free autonomous driving.[read more]

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Big Data: 20 Free Big Data Sources Everyone Should Know

September 16, 2014 by Bernard Marr

The Big Data Guru column.

Any company, from big blue chip corporations to the tiniest start-up can now leverage more data than ever before. Many of my clients ask me for the top data sources they could use in their big data endeavour and here’s my rundown of some of the best free big data sources available today.[read more]

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5 Keys to Successfully Using Big Data

September 16, 2014 by Rick Delgado
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Successfully using big data.

Simply going out to collect data can lead to a business gathering massive amounts of information with little purpose or direction. All companies interested in big data should have a clear goal in mind before collecting that data. With a goal to work toward, companies will know what kind of data they should be going after, helping them form a more defined big data strategy.[read more]

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Don’t Let Internal Obstructionists Derail Your S&OP Initiative

September 10, 2014 by Ray Major

Obstructionists.

I recently ran across an article by Tracy Parsons where she identified obstructionist within an organizations as people who are “Paid by the No.” I found that statement to be not only quite funny, but also quite accurate. We’ve all experienced them.[read more]

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The Top 10 Big Data Quotes of All Time

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

Over the years of working in the field of analytics and big data I have collected thousands of quotes and snippets highlighting both the transformational nature of the phenomenon as well as many of the perils. A client has recently ask me to send him my top 10 big data quotes of all time and this is the list I came up with.[read more]

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How to Unlock the Potential in Your Business Analytics

September 4, 2014 by Asha Saxena

Business analytics.

Analytics are your company’s map to success. They highlight profitability and losses so you can recognize which opportunities will put your business ahead of the competition; however, sometimes the most valuable analytics are overshadowed by complicated analytics modeling.[read more]

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A Case for Big Data Analytics as a Service

September 4, 2014 by Mithun Sridharan

Big data analytics.

Business Analytics has assumed such strategic importance that it has evolved from a purely IT activity into a core business activity touching upon various business functions. As a result of this shift in importance, there is an increasing focus on greater speed-to-insight than on platforms or technologies.[read more]

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How GE Is Using Big Data to Drive Business Performance

September 3, 2014 by Bernard Marr

The Big Data Guru column.

General Electric – a literal powerhouse of a corporation involved in virtually every area of industry, has been laying the foundations of what it grandly calls the Industrial Internet for some time now. But what exactly is it? In this post I will try and give a basic overview of the ideas which they are hoping will transform industry, and how it’s all built around big data.[read more]

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Derailing Your Supply Chain BI Project

September 1, 2014 by Ray Major

Derailing a project.

Remind people that data doesn’t kill dreams. A Supply Chain Business Intelligence initiative is not a funeral service for their creativity. Quite the opposite, in fact. The insights they gain from BI will pave the way for the boldest, most creative options you’ve ever considered as a business.[read more]

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5 Powerful Ways Retailers Can Leverage Big Data and Hadoop

August 30, 2014 by Michele Nemschoff
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Leverage big data and Hadoop.

Big data isn’t just for developers and analysts in the technical arena. In today’s digital age, big data has become a powerful tool across industries. In fact, many retailers are experiencing major growth thanks to the big data industry. According to research by Monetate, retailers have big plans in store for big data. Let’s take a look at big data initiatives throughout the retail industry.[read more]

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Connecting the Data Dots Keeps These Companies Alive

August 27, 2014 by Tamara Dull

The Big Data MOPS Series.

What do the following companies have in common: Google, Facebook, Twitter, LinkedIn, Orbitz, Airbnb, Angie’s List, Match.com, OpenTable, and Uber? They’re all online; they have no brick-&-mortar presence. If their website or mobile app is unavailable, it’s as if they don’t exist.[read more]

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Big Data Education: Why Learning Will Never Be the Same

August 26, 2014 by Bernard Marr

The Big Data Guru column.

Big data and technology is probably not going to be the panacea for all of education’s woes. I believe that it is critical that we build the technology alongside the vital role of great teachers and not alienate them through the use of data and analytics. In the end, as with every industry, understanding and applying the data and analytics processes to education will yield positive results and ultimately benefit teachers and students.[read more]

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Spark the Flame: The Power Behind Real Time Analytics

August 26, 2014 by Gil Allouche

Real time analytics/Deviantart.net 

Real time data analytics is like a burning fire. Consider this analogy. Once a spark catches, several chemical and physical changes occur. The fuel (data) is processed while heat (or data outcomes) is simultaneously emitted. Once the process of data streaming begins, it is seamless and very efficient. The process will continue to be efficient as long as data is fed into the system.[read more]

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Building Information Technology Liquidity

August 25, 2014 by Paul Barsch

Risky Business column.

In the financial world, liquid assets can allow companies to react and capitalize on market opportunities. Liquidity in IT means that companies have enough extra compute firepower, people resources and are agile enough with IT processes to respond to unplanned events and demand, in whatever shape, form or order they arrive.[read more]

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Data Science: What Companies Need to Know

August 23, 2014 by Kristen Paral

Data science.

Take a look at Google, Uber, Amazon or Airbnb. All of them are utilizing big data and data scientists to derive business insights and making quantum leaps in their respective business models. Many companies don’t understand the full value of what data science can deliver, revolutionizing their big data into actual results.[read more]