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IBM & SoftLayer One-Year Later: Leader in Data Centers, Cloud and Big Data

July 17, 2014 by Rachel McAree

Data center.

Almost exactly one year ago today, IBM acquired the cloud company (SoftLayer) and ever since has become one of the front-runners in the data center world. Keep in mind, IBM was the “dark horse” in the data center and cloud race – when other companies like Amazon and Facebook were building huge citadels devoted to the storage of data – or using already built data centers like Fortrust or Equinix – IBM held back, and the move worked brilliantly.[read more]

Sears Became a Real-Time Digital Enterprise Due to Big Data

July 17, 2014 by Mark van Rijmenam

Real-time digital enterprise.

Sears started using Big Data because of declined sales, while major competitors such as Amazon kept growing. In the past years they have managed to move rapidly into the Big Data era and are turning their company into a real-time digital enterprise. A great achievement for a company that is over a century old.[read more]


The White House Recently Completed a Study on Big Data Privacy: Do You Care?

July 16, 2014 by Tamara Dull

The Big Data MOPS Series.

With today’s big data technologies, it’s becoming easier to re-identify individuals from this anonymized data. Programming techniques have been and continue to be developed to pull these anonymized pieces back together from one or more data sets.[read more]

Data Controls and Customer Loyalty: How Big Companies Keep Clients

July 16, 2014 by Kristen Paral

Data controls and customer loyalty.

Data controls may go hand-in-hand with maintaining accurate financial information and compliance reports, but IT leaders from some of the nation’s biggest enterprises say they also use controls for something else: Customer retention.[read more]

Get Deep Audience Intelligence Where It Matters: From Your Ads

July 16, 2014 by gennaro leo

Deep audience intelligence.

Intelligent ads are truly transformative across the sales landscape. The additive value of rich audience analytics accompanied with pure ad performance "metrics" allows our partners to articulate the premium value of their audiences and enables them to tell much more comprehensive stories in sales pitches.[read more]


3 Ways Big Data Is Changing Financial Institutions Forever

July 15, 2014 by Bernard Marr

The Big Data Guru column.

Big data and financial services are natural match – after all, with nothing to manufacture, and no physical product to sell, data is the bedrock the industry is built on. On top of that, most of their business is quantitative – they mainly deal in good old-fashioned numbers – the simplest data to record and analyse.[read more]


Businesses Learn the Hard Way When It Comes to Cyber Attacks

July 15, 2014 by Christian Crank

Cyber attacks.

When it comes to how businesses are approaching cyber security, most know what to do in the event of a cyber incident, defending against phishing and social engineering attacks is priority, and concern over company web facing applications is high, according to a recent survey by TrainACE, a cyber security training organization.[read more]

Data Collection 101: Where Is Your Data Coming From?

July 15, 2014 by Tracey Wallace

Where is your data coming from?

Data verbiage is confusing at best and nonsensical at worst. Big data implies little other than amount. Identity data implies little more than behavior. And data scientist implies little else than data mining which implies an abundance of code and algorithms, to say the least.[read more]


The Rule of Three Works for IT

July 14, 2014 by Paul Barsch

Risky Business column.

The rule of three is a teaching, writing or presenting device where a key concept is broken into three easy to remember pieces. Does the rule of three apply to the fields of technology and business? Going forward, let’s be sure to use more tricolons in our training materials, internal presentations and customer whitepapers.[read more]

Is There One "Right" Strategy to Implement Business Intelligence?

July 14, 2014 by Ray Major

How do I implement BI?

o avoid disappointment, plan on a BI strategy full roll out to take not just a few months, but more in the range of 1-2 years. Provide new capabilities in stages, or phases. This allows your users to acclimate to the new way of doing business, and provide feedback on a contained functionality set.[read more]


Retail is Dead. Long Live Retail!

July 14, 2014 by Charles Settles

Using data for retail.

Walmart has several strategies to grow their ecommerce operation. Their distribution system is already the model upon which others are built — including Amazon’s. They have already been leveraging their supply chain management system, built on collaborative, vendor-managed inventory, to secure their place as the largest retailer in the world.[read more]

Schlaaaaand! A Data-Driven Prediction of the FIFA World Cup 2014 Final Germany vs Argentina

July 13, 2014 by Kalie Moore

FIFA World Cup 2014 Final.

Schlaaaaand! A Data-Driven Prediction of the FIFA World Cup 2014 Final Germany vs Argentina. So what kind of final can we expect this Sunday? Let’s break down the stats of both teams during previous games this World Cup.[read more]


For the Greater Good: Cops Embracing Google Glass

July 12, 2014 by Philip Cohen

Cop wearing Google Glass.

At least two law enforcement agencies are trying or plan to try Google Glass so far. The New York City police department acquired a few pairs to try out, and a number of law enforcement and other government agencies in Massachusetts are interested in the program.[read more]


Who Owns the Data? Well, It’s Complicated

July 11, 2014 by Tamara Dull

The Big Data MOPS Series.

I don’t know if Edward Snowden – the NSA contractor turned whistleblower currently living in exile - is a hero, traitor or a schmuck. What I do know is that he has brought the data issue much closer to home for me as a consumer and a U.S. citizen. It has left me scratching my head and wondering, “Who owns my data, anyway?”[read more]

Stream vs. Batch Processing: Which One is the Better Business Operations GPS?

July 11, 2014 by Dale Skeen

Stream vs. batch processing.

Many organizations across industries leverage “real-time” analytics to monitor and improve operational performance. Essentially this means that they are capturing and collecting data in lots from various systems and analyzing it in batches through periodic on-demand queries.[read more]

Is Big Data Good or Evil?

July 11, 2014 by Bill Franks

Analytics matters.

With all of the lawsuits working through the courts and all of the scary possibilities being discussed in the media, it has led some people to assume that big data is inherently evil. Once you believe that big data is evil, a natural response is to try and shut down the collection and analysis of big data to the maximum extent possible. While big data certainly has risks, it would be a classic case of throwing out the baby with the bathwater if the use of big data is shut down.[read more]


Data Infrastructures

July 10, 2014 by Hallam Stevens

Data infrastructures.

It is obvious to say that big data rely on computers. It would be practically impossible to implement big data algorithms with pencil and paper – it would just take too much paper and too long to write all the data down. Data infrastructures - the software and hardware that holds our data - have histories that affect what big data can be and what we can do with it.[read more]


4 Things You Should Know About Operation Clandestine Fox

July 10, 2014 by Philip Cohen

Operation Clandestine Fox.

At the end of April, computer security firm FireEye discovered a flaw in the Microsoft web browser Internet Explorer. If hackers are able to exploit this flaw, which the security firm has dubbed Operation Clandestine Fox, it could lead to the entire computer being compromised.[read more]


How Predictive Modeling is Changing the Way We Work and Live

July 10, 2014 by Sergii Shelpuk

Predictive modeling.

Thanks to ongoing advances in computing and warehousing technologies, big data keeps getting bigger and advanced analytics such as predictive modeling make it ever more useful. The proliferation of smart devices, cloud computing and SaaS applications, both in our personal lives and the workplace, gives us the ability to know more about human behaviors and practices than ever before.[read more]


The Impact of Big Data on Linguistics

July 9, 2014 by Gil Allouche

Big data and linguistics.

Linguistics is an area that is constantly changing from one day to the next. There’s no stopping the evolution of language, and with the web and social media the speed at which it’s evolving has increased dramatically. There are so many contributing factors to language that impact how and when it changes that it can be extremely difficult to track and completely understand what about the language is changing and why it’s changing.[read more]


6 Crucial Data Security Lessons the U.S. Can Learn from Other Countries

July 9, 2014 by Daniel Riedel

Data security.

Silicon Valley may have led the digital revolution, but Washington shows few signs of adapting to the times. As a result, not only is it easier to vote for a YouTube video than for a politician, but countries like Estonia are focusing their resources and building their infrastructures to better manage a digital society.[read more]

Will Hyperscale Networking Shake Up the Data Center?

July 9, 2014 by Rachel McAree

Hyperscale networking and data centers.

Even as physical data center facilities have gotten larger, the trend inside them is to make everything smaller, faster and infinitely more scalable. The hyperscale network, which is gaining traction after Intel launched a hybrid processing chip that could radically change CPU construction, could become a reality for more companies.[read more]


The Amazing Big Data World of Kaggle and the Crowd-Sourced Data Scientist

July 8, 2014 by Bernard Marr

The Big Data Guru column.

If you’re looking for a company which seems to embody all the principles of big data entrepreneurship under one roof, then look no further than Kaggle. Crowd sourcing, predictive modelling, gamification – Kaggle has it all - and has worked out how to turn a profit from them.[read more]

The Federal Government Should Fund More Data Pilot Projects

July 8, 2014 by Travis Korte

Data pilot projects.

If the federal government wants to use data to “solve problems, improve well-being, and generate economic prosperity” on a national scale, as the White House wrote in a recent report, it must start at the local level. Cities and states offer fertile soil for data pilot projects, and the knowledge gained from these projects can lead to insights that apply far beyond their origins.[read more]

41 Big Data Names You Need to Know

July 8, 2014 by Tracey Wallace

Big names in big data.

Big data gets a lot of buzz – much of it from startups or advocates laying claim to big data's big abilities. Truth is, though, that while big data definitely has the potential to bolster your company’s annual revenue, and will likely soon find a permanent place on your balance sheet, big data itself isn't all that newsworthy.[read more]

Successful Sales Forecasting Requires Dedicated Technology

July 7, 2014 by Mark Smith

Successful sales forecasting.

Overall our research finds a developing movement to adopt more useful technology for supporting the sales forecasting process. For organizations planning to change, most (40%) are going to use software as a service (SaaS), which is convenient as this cloud-based approach has the lightest burden to install, configure and manage the technology.[read more]

Finance Analytics Requires Data Quality

July 6, 2014 by Robert Kugel

Finance analytics.

Excellent data quality is the result of building quality controls into data management processes. Our research finds a strong correlation between the degree of data quality efforts in finance analytics and the quality of the finance department’s analytic processes and output, and ultimately its timeliness and its value to the company.[read more]

Growth in Canadian Data Center Sector: Operators Illuminate the Benefits of a Canadian Data Center Site

July 5, 2014 by Rachel McAree

The Canadian data center sector.

Canada has been a favorable location for data centers for a long time. CIO noted that the country provides facility operators and service vendors a cool climate, low risk of natural disasters as well as proximity to the skilled workers present within the Canadian workforce.[read more]

How Do You Turn Supply Chain Data into Actionable Information?

July 4, 2014 by Ray Major

Supply chain data.

Okay, so you’re committed to rolling out Business Intelligence across your supply chain, you have tons of data, so how do you turn that data in to actionable information? There is a continuum in terms of presentation of data that allows for continuous sophistication in understanding and interpreting data.[read more]

Open, Open, Open: IBM's SoftLayer Will Open Data Center in London

July 3, 2014 by Rachel McAree

IBM's SoftLayer data center.

IBM is launching an all-out assault on the datacenter world. They were the largest company to hold back in building and investing in data centers, and many industry insiders were scratching their heads as to why IBM waiting so long to enter the data center race.[read more]