Implications of Big Data
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Implications of Big Data
Exploring the Implications and Possible Unintended Consequences of Big Data
Curated by Jim Schreier
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Major tech trends for 2015: big data to become even bigger

Major tech trends for 2015: big data to become even bigger | Implications of Big Data | Scoop.it
Hybrid cloud will also take major steps forward

Via Gary Hayes
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Gary Hayes's curator insight, February 2, 2015 7:22 PM

Quote "

Big data can be a powerful tool for many businesses, in all sectors. Government agencies can use it to understand where social services need to be concentrated most, yet musicians can also use big data to work out which songs to play at their concerts, based on Spotify or other streaming music site data.

The opportunity is there, and companies know they need a big data strategy. Some have cracked it, some haven't, but it's clear that this will only improve, and there are certainly plenty of tech companies lining up to deliver a solution to the problem."

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A billion to one: The crowd gets personal

A billion to one: The crowd gets personal | Implications of Big Data | Scoop.it
The creation of unique, personalized products and services derived from crowd-based analytics is the foundation of the “billion-to-one” experience.
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Hyped or Annoying, Big Data is here to stay in 2015

Hyped or Annoying, Big Data is here to stay in 2015 | Implications of Big Data | Scoop.it
From Advertising to Retail industry, from CMOs to CTOs, from IT to marketing function, one word which grew over all of us in 2014 is Big Data.
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Microsoft to acquire Revolution Analytics to help customers find big data value with advanced statistical analysis

Microsoft to acquire Revolution Analytics to help customers find big data value with advanced statistical analysis | Implications of Big Data | Scoop.it
I’m very pleased to announce that Microsoft has reached an agreement to acquire Revolution Analytics.
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8 Trends In Big Data For 2015

8 Trends In Big Data For 2015 | Implications of Big Data | Scoop.it
As a Big Data recruiter, the speed of change in the industry never ceases to amaze me. I can’t fail to get up in the morning and wonder what the next year (or day) might bring in this ever changing
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Think Small: Why Big Data Isn't For Everyone

Think Small: Why Big Data Isn't For Everyone | Implications of Big Data | Scoop.it
everyone's talking about big data, but it isn't for everyone, writes jeff hassemer. here's how companies can use small data to target the right customers.
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Big Data Not A Cure-All In Medicine

Big Data Not A Cure-All In Medicine | Implications of Big Data | Scoop.it
Big data is a trendy term for the ever-expanding cloud of information that's online and increasingly searchable. Some researchers say it could change the way medical research is done and the way individual doctors make medical decisions.
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IT world looks to cloud and big data for growth in 2015

IT world looks to cloud and big data for growth in 2015 | Implications of Big Data | Scoop.it
Every year around this time, we get inundated with predictions of what to look for in IT when the calendar turns
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HR May Not Be Ready For Big Data (Yet), But Here’s How to Gain Ground

HR May Not Be Ready For Big Data (Yet), But Here’s How to Gain Ground | Implications of Big Data | Scoop.it
Nearing the end of 2014 and heading into 2015, we’re now firmly entrenched in an era in which widespread technology and the availability of data are changing just about everything in business.
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What Your Business Can Learn about Leveraging Big Data

What Your Business Can Learn about Leveraging Big Data | Implications of Big Data | Scoop.it
Each of these companies used big data to get closer to its customers -- and to develop a successful strategy, according to LinkedIn's Russell Glass, author of The Big Data-Driven Business.
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Big Data: Do You Have a Plan?

Big Data: Do You Have a Plan? | Implications of Big Data | Scoop.it
Big data analytics is changing every industry. It’s a hard trend, and it’s spread is inevitable – the question is: how are you succeeding or failing at positioning your business …
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84% Of Enterprises See Big Data Analytics Changing Their Industries' Competitive Landscapes In The Next Year

84% Of Enterprises See Big Data Analytics Changing Their Industries' Competitive Landscapes In The Next Year | Implications of Big Data | Scoop.it
87% of enterprises believe Big Data analytics will redefine the competitive landscape of their industries within the next three years.
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How Big Data Can Help Transform the Business Value of HR

How Big Data Can Help Transform the Business Value of HR | Implications of Big Data | Scoop.it
Scattered about the Internet is a treasure trove of data, and more and more, it’s being used to manage people. Big data might be unstructured and unwieldy to many, and there are reasons …
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The last-mile problem: How data science and behavioral science can work together

The last-mile problem: How data science and behavioral science can work together | Implications of Big Data | Scoop.it
What do predictive analytics and behavioral economics have in common? Quite a bit, as it turns out.
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BlueData's on a mission to democratize big data

BlueData's on a mission to democratize big data | Implications of Big Data | Scoop.it
Learn about BlueData's turn-key solution that creates an Amazon EMR-like self-service consumption model for big data infrastructure in private data centers.
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Big Data and mobile analytics: Ready to rule 2015

Big Data and mobile analytics: Ready to rule 2015 | Implications of Big Data | Scoop.it
2014 was a big year for big data, a term that gradually gained momentum to become one of the most talked-about subjects in the tech world. With 2015 fast approaching, prepare for big data’s total d...
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DoJ uses big data to crack Medicare fraud schemes

DoJ uses big data to crack Medicare fraud schemes | Implications of Big Data | Scoop.it
US authorities have saved billions of dollars by mining big data to identify and prosecute healthcare fraud, learning from the playbook corporations are using to disrupt their industries and expand their businesses.
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Be careful what you transform: The unintended consequences of digital innovation

Be careful what you transform: The unintended consequences of digital innovation | Implications of Big Data | Scoop.it
While shortcuts are often the goal in re-thinking and re-designing business processes to create process efficiencies, cost savings, and an innovative and highly convenient new digital customer experience, every business model and process innovation...
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Big Data: Do You Have a Plan?

Big Data: Do You Have a Plan? | Implications of Big Data | Scoop.it
Big data analytics is changing every industry. It’s a hard trend, and it’s spread is inevitable – the question is: how are you succeeding or failing at positioning your business …
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How businesses are actually using Big Data today

How businesses are actually using Big Data today | Implications of Big Data | Scoop.it
In this article we explore how businesses are currently using Big Data and how SMEs can also use Big Data.
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Managing Your Mission-Critical Knowledge - HBR

Managing Your Mission-Critical Knowledge - HBR | Implications of Big Data | Scoop.it
How to identify, map, and leverage some of your company’s most strategic assets
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Big Data and the Science of the Christmas Tree

Big Data and the Science of the Christmas Tree | Implications of Big Data | Scoop.it
A UConn bioinformatics researcher is helping develop tools that will enable more scientists to start finding meaning in massive amounts of data.
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To Be Honest, Here’s Why I Really Hate Analytics and Big Data

To Be Honest, Here’s Why I Really Hate Analytics and Big Data | Implications of Big Data | Scoop.it
Don’t kid yourself – you hate analytics. It wouldn’t be politically correct to say that you hate analytics, so you won’t. That’s why I’m here. You hate analytics because using …
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What Will Happen to ‘Big Data’ In Education?

What Will Happen to ‘Big Data’ In Education? | Implications of Big Data | Scoop.it
Privacy concerns have put the breaks on many efforts to use "big data" in education. Why are people so skittish of education data when other kinds of digital information are readily accessible?
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