What The Gartner Big Data 2013 Report Means For The Industry | CloudTweaks

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The report overall will give companies looking to implement a real drive to put some real investment behind Big Data service initiatives whilst also giving practitioners the confidence to expand. We are told that one of the main reasons that startups fail is due to aggressive expansion too quickly, creating unsustainable business models with no genuine numbers behind future business. This report will hopefully give these companies the confidence to go ahead and expand to fill what will be a shortfall in the market within the next decade.

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Gartner Predicts That by 2014, More Than 20 Percent of Government Organizations Will Have Appointed a Chief Digital Officer

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“The chief digital officer and the CIO will become information custodians, providers and, most of all, advisors. However, it will be up to the business to determine how to strategically use that information. In such a situation, there is little reason for keeping two separate roles,” said Mr. Howard. “Most likely, the chief digital officer role will be absorbed by, or become indistinguishable from, the CIO role. In a minority of organizations, the reverse might be true, mostly due to the negative connotation of the CIO as a “role of the past.” It is quite possible that the new integrated title will be chief digital information officer.”
See on www.gartner.com

Big Data + Mobile + Sensors + Visualization + Gamification = Quantified Self – TopCoder, Inc.

See on www.topcoder.com

If you’ve yet to dive into material and begin to understand the impact of what is called the quantified self, we suggest you do. This movement is about to get huge as the sheer volume of those classifying themselves as self-quantifiers is doubling annually. As barriers to quantified self fall – via ever smaller sensors, ever smarter data and ever more passive ways to collect and analyze the data – the continuation of individuals into the greater movement accelerates. If your world is technology and you believe in the consumerization of IT, understand now that quantified self is about to jettison the niche realm and rightfully proclaim the position of next.

See on www.topcoder.com

Big Data Can Improve the Practice of Law | SmartData Collective

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Big data can deliver new evidence in court. Several American examples indicate that big data collected and analysed from public data sets can be admitted as evidence.

See on smartdatacollective.com

Gadget Web Site – Big data doesn’t need big budget

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The current hype around “big data” raises the spectre of big budgets to match – but, says ANGELINA DOS SANTOS-BARRETT of Innervation, most retailers can extract far more value from their current data without embarking on expensive specialist projects…

Many retailers are missing opportunities presented by their loyalty programmes in particular, she says. If your loyalty information is sitting in an isolated database, you are really not getting value out of that investment. You have their name, their card number and the fact that they’ve made at least one purchase — but are you looking at exactly how many times they’ve been through your tills and what they bought? Do you have an understanding of what might motivate them to come back?

See on www.gadget.co.za

Big data to become ‘just data’ by 2016 – CXOtoday.com

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[T]he bottom line is that not all of this information requires a big data approach. And the new “big data way’ is not going to replace all other forms of information management. There is more room – and need – for experimentation in the area of ‘information of innovation,’ for instance with social media data, or by making processes more information-centric. According to Gartner, big data will grow past its hype towards 2016 to become “just data” once the technologies mature, and organizations learn how to deal with it.

See on www.cxotoday.com

High Scalability – The Secrets of Scaling at Facebook

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Aditya Agarwal, Director of Engineering at Facebook, gave an excellent “Scale at Facebook” talk that covers their architecture, but the talk is really more about how to scale an organization by preserving the best parts of its culture.

The Key Points :-

1. Scaling takes Iteration
2. Don’t Over Design
3. Choose the right tool for the job, however your choice comes with overhead.
4. Get the culture right.. Move Fast – break things.
5. Huge Impact – small teams.
6. Be bold – innovate.

See on highscalability.com

Getting Started with Information Governance: The Data Lifecycle Approach

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Data lifecycle management helps reduce risk, increase agility, and reduce costs

See on ibmdatamag.com

Making Open Data Work for Citizens: Four Lessons from Code4Kenya

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The best news is the African Media Initiative and others want to continue and expand the Code4Kenya experience in Kenya and beyond. Continued success will depend on how the host organizations further embed open data and technology in their operations, and, even more importantly, how the applications and stories they have created have broader impact.

See on blogs.worldbank.org

Technology Considerations for CIOs for Data Driven Organization

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Making your business data driven requires monitoring a lot more data than you are used to, so you will have a big-data hump to jump. The bigger is the data at play, the more is the need to handle bigger interfaces, multiple data sources etc.

See on v1shal.com