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  • admin 9:54 am on August 4, 2017 Permalink
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    Security: It’s not just about keeping the bad guys out 

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  • admin 9:51 am on January 13, 2017 Permalink
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    IoT – Just What the Doctor Ordered! 

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  • admin 9:51 am on August 5, 2016 Permalink
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    Patterns Recur in Analytics Just Like in Nature 

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  • admin 9:52 am on May 24, 2016 Permalink
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    Just what’s in my data warehouse – and what should I do with it? 

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  • admin 9:48 am on November 18, 2015 Permalink
    Tags: , Child, , Herjavec, , Just, Robert,   

    Robert Herjavec If the internet was a child it would just have begun to crawl 

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  • admin 9:54 am on September 26, 2015 Permalink
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    The Apple Watch Is Just A Big Data Wind-Up. Right? 

    Lights! Camera! Action!

    The Apple Watch is launching amid much excitement, promising to change the way we generate and use data with a sweep of the hand. Okay, it’s not the first of its kind; we’ve seen smartwatches before – Samsung, Microsoft, even Swatch.

    But there’s nothing quite as moreish as a shiny new Apple.

    Portable good. Wearable better.

    That said, in spite of the hype and extraordinary market expectations – 360 million smartwatches by year 2020 – wearable technology is hardly a new concept. Product designers have been trying to integrate technology and clothing for years. In fact, in 2003, Burton and Apple developed the Burton Amp – a jacket that enabled switched-on snowboarders to control an iPod with a twitch of their sleeves.

    However, this less-niche, smartwatch revolution is likely to attract both sporty and non-sporty types. And if broad-brush appeal turns into sustainable sales, smartwatch sensors are going to transform us all into 24-hour transmitters. Which means big data changes all round.
    watch
    3 ways the Apple Watch could change Big Data

    1. An Apple-data deluge – say a third of iPhone owners buy an iWatch. Then 100 million sensors will be pumping out data, 24-7, from Apple people alone.
    1. A new app market – the next wave of apps will be designed for smartwatches. Accelerometers, thermometers, barometers, and altimeters – a handful of the hundreds of features that app developers will be trying to connect with smartwatch sensors. I mean, the volume of data produced and stored for subsequent analysis could easily double.
    1. Fitness promotions – now, you don’t have to be a professional athlete or sports star to monitor your own heart rate, the calories burned, and distance covered. The unsettling thing is, this type of information is going feral. And it’s marketing gold. So serious walkers can look forward to receiving mobile ads for all-terrain footwear. Flabby cycling enthusiasts could be targeted with the latest Lycra girdles. Also, gyms will be able to fiddle to their hearts’ content, with training plans based on ‘supersize-me’ client data.

    This is all ifs, buts, and maybes, of course. And perhaps this time – Shock! Horror! – the Apple Big Data bandwagon will pass us by.

    3 reasons smartwatches might not change Big Data after all

    1. Data privacy – do you really want your heart BPM broadcast indiscriminately to a world of strangers? Do you really want health companies and third parties to have total freedom to analyse and pirate your data for marketing purposes? What if you and I aren’t ready to give away our personal data?
    1. We already know what time it is – are expensive smartwatches really a ‘must-have’ for the regular Joe, Jo, or Jose? Most of us will carry on fishing for our phones when we need to know what the time is. And I can’t see traditionalists giving up their Swiss fashion statements easily. Time will tell.
    1. Built-in obsolescence – most sane people wait for the second or third iteration of a new piece of technology before committing hard cash, hoping all the bugs have been ironed out. Then we stick with it until, finally, we’re forced to upgrade. So, maybe apathy, resistance, or a lack of market penetration could kill off any real data explosion.

    So, what are we saying then?

    Over time, we’ve adjusted to the idea of underage footballers ‘earning’ a hundred times the average working wage, mayonnaise on chips, and Sunday shopping. So, no doubt, we’ll get used to wearing intrusive technology… eventually. Until then, smartwatches could easily remain the exclusive darlings of early adopters and trendies.

    But at the very least, adding the millions of Apple Watch sensors to the billions (soon to be trillions) driving the Internet of Things means creating more data, from which analysts can extract wide-ranging insights into consumer preferences.

    Personally? Give me the technical artistry of my Patek Phillipe, any day. And leave fruit in the fruit bowl.

    Where it can’t spy on me.

     

    This post first appeared on Forbes TeradataVoice on 27/04/2015.

    The post The Apple Watch Is Just A Big Data Wind-Up. Right? appeared first on International Blog.

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  • admin 9:46 am on June 19, 2015 Permalink
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    Targeting Facebook Advertising Just Got Easier 

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  • admin 9:51 am on January 17, 2015 Permalink
    Tags: “Glue”, , , , CSuite, Just,   

    Could Analytics Be Just The “Glue” The C-Suite Needs In 2015? 

    MFG-1006-LThe C-suite can be a difficult place for anyone to fit in, but marketers, in particular, can face unique challenges in gaining the acceptance and support of their colleagues. The CEO wants tangible business results now. The CFO is looking to trim budgets (starting with marketing, of course). The CTO is nervous about handing over the digital reins…

    What’s a smart CMO to do? Is there anything that can get the entire C-suite on the same page, keep them there—and optimize marketing efforts at the same time?

    Fortunately, today’s CMOs have a not-so-secret weapon: analytics.

    Marketing organizations now collect an astounding amount of data about prospects and customers, and analytics are what can enable you to draw meaning from that avalanche. Using analytics tools, you can develop business strategies based on individualized insights about actual consumer behavior, wants and needs.

    In other words, data driven marketing is powerful because it’s based on real results—and that’s something marketers can use to inspire every single member of the executive team.

    For the CEO, analytics offer a clearer picture of who customer are, what they’re looking for, and how you can keep them coming back for more. On the flip side, analytics also provide insight into who isn’t buying—and how they can be better targeted to drive conversions and sales. Backed by analytics, CMOs can show what is known, and what is NOT known.  That combination is very powerful for executive decision-making.

    For the CFO, analytics provide not only a quantitative gauge of the effectiveness of strategies and campaigns, but also the opportunity to optimize or shift based on what’s happening in the market. When marketers can provide – real-time snapshots of progress, good, bad or ugly, CFOs can better understand how accommodating customer preferences can translate into revenue. That means analytics can yield better return on investment in the immediate term, as well as smarter spend management going forward.

    For the CTO, analytics add science to the art of marketing, ultimately bolstering the CTO’s position within the C-suite. As teams collaborate to gather, sort and deliver relevant data and insights, the entire company becomes more agile. After all, data is no longer the sole realm of IT. Everyone needs to use data,  and it needs to be directed and filtered by marketers and data scientists, collaborating to reveal its inherent value.

    And for the CMO, the power of analytics puts them in a better position to drive business results—which ultimately, is what marketing is designed to do.Let it do that. Studies show that CMOs who collaborate actively with their CEOs enjoy a longer tenure at companies, and analytics, while a relatively recent step forward in marketing technology, is going to make that collaboration even more important to the success of the enterprise.

    As you can see, every function in the organization can benefit from the smart use of data. Moving ahead into 2015, I predict that marketers who make the most of analytics will prove to be the ones who gain support in the C-suite. Why? Because it will be marketers who are explaining not only what customers want, but why.

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  • admin 9:51 am on December 20, 2014 Permalink
    Tags: Became, Hortonworks, Just, OperationsReady,   

    Teradata Just Became Operations-Ready on Hortonworks 

    The partnership with one of our three strategic Hadoop partners, Hortonworks, continues to evolve. Today Teradata has gained the “Operations Ready Certification,” a new Hortonworks certification that validates our focus and strategy about providing an enterprise Hadoop experience to our Teradata customers.

    ops-ready

    Teradata Viewpoint has become a standard interface for monitoring and management of the Teradata Data Warehouse, Teradata Aster Discovery Platform and Hortonworks Data Platform (HDP) nodes running on the Teradata Appliance for Hadoop. “Operations Ready” means that our Teradata Viewpoint tool has been certified as a solution for platform and application monitoring & management against HDP nodes running on our appliance.

    This certification is the result of our combined engineering efforts to bring a seamless experience to our joint customers. Teradata is closely monitoring enhancements on Ambari including Custom Views and Blueprints and are excited about further integration between HDP, Ambari and Teradata.

    For more details about the integration between Teradata Viewpoint and Ambari, click here.

    For more information about the Operations Ready Certification, click here.

    Cesar Rojas new jpg sized blog bioCesar Rojas leads product evangelization strategies for Hadoop enthusiasts, data scientists, and business analysts. He is responsible for key components of the Teradata Portfolio for Hadoop including SQL and Hadoop integration, Hadoop manageability and Hadoop Appliances.

     

     

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  • admin 9:53 am on November 16, 2014 Permalink
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    Just What the Doctor Ordered 

    Today, healthcare providers misdiagnose an estimated one in 20 patients. What’s more, individuals who do not take their prescriptions correctly or don’t take them at all spend a whopping $ 300 billion each year on emergency room visits, hospital care and extra doctor visits.

    The good news is that with the right data and analytics, retail healthcare organizations can better understand their patients to help eliminate such situations while improving the quality of care and driving down costs. For example, when a pharmacy has insight on which patients are likely to discontinue their medication based on their age, prescription type and other factors, it can then reach out to those at risk and remind them to either refill or continue taking their prescriptions for the recommended amount of time.

    And of course, healthier customers also mean a healthier bottom line.

    Carly Schramm
    Assistant Editor
    Teradata Magazine

     

     

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