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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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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]

Understanding and Analyzing the Hidden Structures of a Unstructured Data Set

August 28, 2014 by Kunal Jain

Data set.

The key to using unstructured data set is to identify the hidden structures in the data set. This enables us to convert it to a structured and more usable format.In this article we will talk in more details to understand the data structure and clean unstructured text to make it usable for the modelling exercise.[read more]

Big Data Gets Creative: 10 Big Data Kickstarters Turning Data Into Impact

August 28, 2014 by Tracey Wallace

Big data Kickstarters.

It just might be your turn to invest.Knowing that innovative genius doesn't depend on monetary status, we went ahead and rounded up the coolest big data projects being masterminded behind-the-conglomerate-scenes. From art to fitness, books to video games, big data is making a big impact – and it just might be your turn to invest.[read more]

The Social Login Debate: LinkedIn's Weird Absence

August 28, 2014 by Rishi Shah

Social logins.

The trend toward social login – and improved user experiences – continues across the internet as Facebook and Google+ compete for a larger market share. Publishers, game developers, retailers, brands, agencies and aspiring bloggers such as myself see an enormous opportunity in social registration.[read more]

Are There Alternatives to Data Hoarding?

August 27, 2014 by MIKE20 Governance Association

Data hoarding.

“In a microsecond economy,” Becca Lipman recently blogged, “most data is only useful in the first few milliseconds, or to an extent, hours after it is created. But the way the industry is collecting data, or more accurately, hoarding it, you’d think its value lasts a lifetime.[read more]

The Employee of the Future [INFOGRAPHIC]

August 27, 2014 by Jon Smith

Wearable technology.

Technology is progressing at an astonishing rate and none more so than wearable tech. Despite this wearables are still very much a niche product and a buzzword for many but some organisations are already reaping the benefits from their employees using smartwatches, health monitors and even treadmill desks.[read more]

Untangling the Retail Supply Chain with Real-Time Analytics

August 26, 2014 by Dale Skeen

Untangling the retail supply chain.

Retail supply chains are longer and more tangled than ever before – the complexity of the data sets and the management of far-flung suppliers coupled with high customer expectations around service and reliability are taxing traditional approaches to supply chain management to their limits.[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]

Top 3 Worst IT Suggestions Ever

August 25, 2014 by Kyle Cebull

Bad tech advice.

Bad advice runs rampant in the tech industry. It’s given by in-house techs, reactive support companies and one-man shops all the time. The truth is, though, that these suggestions aren’t just bad, they’re downright damaging. Sure, a simple suggestion sounds harmless enough – but backing up your data the wrong way could lead to hundreds of thousands in lawsuits.[read more]

Fujitsu Builds New Data Center

August 25, 2014 by Rachel McAree

Fujitsu.

Adding to the 2 million-plus square feet of space it currently has in North America, Asia, and Europe, Fujitsu will take the wraps off three new Tier III data centers—two in the U.S. (New York and California) and one in Canada (Regina, Saskatchewan)—where the vendor will deploy big data analysis, IaaS, cloud applications, secure storage, and disaster recovery.[read more]

Analogue Business with a Digital Facade

August 24, 2014 by MIKE20 Governance Association

Digital business facade.

Once the economy has successfully made the transition from analogue to digital, it will be natural for all business to be thought of in this way. Today, however, too many people put a website and mobile app over the top of their existing business models and declare the job done.[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]

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We’re Traveling at the Speed of Cool to Creepy

August 22, 2014 by Tamara Dull

The Big Data MOPS Series.

It is no longer good enough to make the connection or get the account. The challenge now for companies/brands/apps is to demonstrate that they are trustworthy, respectable, and care about safeguarding what customers have shared with them—i.e., their personal data.[read more]

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How Companies Use Big Data Successfully

August 22, 2014 by Jessica Oaks

Big data.

One of the greatest benefits afforded businesses by data analysis is that decisions can be made not based on hunches, but on hard numbers. As soon as a company realizes this, it can start taking concrete steps to address legitimate and documented needs – customer needs, internal needs, logistics needs, and more.[read more]

5 Tips to Consider When Designing Supply Chain Key Performance Indicators

August 22, 2014 by Ray Major

KPIs.

You can’t predict anything with 100% certainty, and your predictive power wanes the farther out you gaze. The study of KPIs over time is all about finding patterns and signals, then applying intelligence in order to make better decisions and gain wisdom.[read more]

Largest HIPAA Breach Ever: Hackers Steal Data on 4.5 Million Community Health Systems Patients

August 21, 2014 by April Sage

Largest HIPAA breach ever.

A hacking group known as “APT 18” is suspected of stealing names, Social Security numbers, addresses, birthdays and telephone numbers from 4.5 million patients of Community Health Systems, a network of 206 hospitals across 29 states (see map at right). Credit card numbers and medical records were not accessed.[read more]

How Big Data Enables Hyper-Local Real-Time Weather Forecasting

August 21, 2014 by Mark van Rijmenam

Weather forecasting.

Accurate weather predictions are very important for economic activities and with more extreme weather conditions happening, knowing what to expect could save a lot of money, and lives. Such hyper-local real-time weather forecasting is becoming more common every day.[read more]