Today, Apigee announced the launch Apigee Insights, a platform for capturing and operationalizing signals gathered from big data, contextual data, and interactions intermediated by APIs. (Apigee has published an e-book explaining the platform.) But the core vision of the product is based on an advanced pattern for big data value creation that will be applicable to many industries.
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The value to IBM is captured in my recent definition of the First Law of Big Data: The value of data grows with the growth in the number of people sharing similar data.
In other words, the Second Law of Big Data: The value of data grows with the number of innovative models applied to it.
The value in Big Data is not the ability to capture and store vast and rapidly increasing quantities of data, its value lies in providing companies and organizations real time information that they can act upon and provides insights to their business for competitive advantage.
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Along with the explosion in mobile technology to support commerce, startups like LevelUp have begun disrupting the payments market by offering free payment processing in return for paid loyalty and marketing services, showing that we are quickly moving into an age where the value of payment data exceeds the value of transaction fees.
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Consumers did not know how much they would use data and value it.
Through user data, value is created where applications are used by people, not only in Bermuda or in the Cayman Islands.
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The insight behind these charts is that the value of an individual piece of data goes down with time and the value of a collection of data goes up with time.
Crowd-sourcing the analytics is quite a smart (and cheap) way for this big data company to create added value from its raw data.
Data used to formulate fair value and other stock fundamental data points are uploaded to ValuEngine overnight from industry sources.
There are links to outside data providers like Value Line and cbs Marketwatch plus message boards.
Is the security of our intellectual property, high-value data, and media operations any less important?
It is not the data itself, but the insight based on the data that creates value .
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Data of uncertain value today may represent a records, analysis or intermediate work product that can provide important insight in the future.
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Together these challenges mean that the industry must bridge the gap to get the maximum return on information from the highest value data.
Video games and interactive apps on smart phones may still be okay, though data on the value of iPad use for one-year-olds is in its infancy.
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We helped Treasury compile and publish a directory of over 50 high-value data sets that software developers can use to help consumers understand and manage their finances.
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Data has enormous value and potential to improve our society.
Cybercriminals leverage the vulnerabilities of a trusted partner to open the back door and wait patiently for the opportune moment to strike, and then waltz off with high-value data.
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As with most marketable currencies, equity in a biotech can suffer from deviations from this underlying data-supported value, which can result in over-pricing of assets that lack the intrinsic quality or robustness.
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Others including Bullard and Lockhart seem happier to take improving data at face value and feel the FOMC should address the need to see out the remainder of its bond purchase plan.
Firewalls and AV programs are completely ineffective against state-sponsored attacks because adversaries who are targeting high value data have multiple attack vectors to choose from that would be utterly invisible to automated defenses.
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Unlike many other companies in the realm of data science, Pentaho is focused on what users do to get value from data and how to make it easier, and it shows in their product.
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Healthcare providers have the choice to get ahead of that inevitability or be behind the eight ball if they choose to ignore the data on the value of patient engagement in driving positive health outcomes.
The unprecedented growth of social networks has created an explosion of new kinds of data, further compounding the challenges of how companies unlock the value of business data.
Now end-user tools for data analysis and dashboarding are amplifying the value of information kept in data warehouses.
So when the correlation was run with the shuffled data, it gave a lower value than the correlation from the original data.
Instead, he believes that the best way to get data you want is to trade other data, which could provide business value far beyond the returns of publishing data in exchange for cash.
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But a true data-driven culture supports questioning by non-experts, and delivers business value by making data exploration intuitive, rewarding, and even fun.
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Step 1 is to publish your data using APIs to get as much value as you can from the data you have.
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