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  • admin 9:51 am on October 11, 2017 Permalink
    Tags: Algorithms, branch, Choose, , , , tree   

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  • admin 9:53 am on April 19, 2016 Permalink
    Tags: Choose, , , Premises   

    Why Companies with On Premises Choose the Cloud 

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  • admin 9:52 am on March 21, 2015 Permalink
    Tags: Choose, , , Madness, March, , Winner   

    Can Data Help You Choose The Next March Madness Winner? 

    NCAA BracketEvery March, office break rooms across the nation shift from chatting about things like the latest work deadlines, weekend plans and the latest photocopier breakdown to obsessing over a single subject: college basketball.

    March Madness, otherwise known as the NCAA Men’s Division 1 Basketball Tournament, pits co-worker against co-worker, friend against friend and relative against relative, as millions of people rush to fill out their “brackets,” the diagrams detailing potential game matchups from the first round to the last.

    Fans predict who will reach the top spot out of 64 competing teams. Then, round by round, the field narrows, until a fraction of the initial competitors reach the Final Four. Eventually, two teams will meet in the Championship game on April 6.

    If you predict the winners, you could claim anything from bragging rights at the water cooler, a few dollars in a sports pools… or even a big payout from the bookies in Vegas.

    But how do you actually make your picks? Do you rely on data?

    You could consult historical patterns, like team on team performance or habitual conference leaders over time. You could you focus on individual player performance over the season or over multiple seasons. But, do certain players benefit from particular skill sets or statistical leaders around them, or are they consistent, regardless of the support around them? And does coaching have an impact — style, emphasis, winning history, coaching team members and so on?

    The list of factors could be endless. That’s probably why there are so many different approaches to filling out a bracket. Some are all data, all the time. Some forget about the basketball part altogether.

    Keep in mind, though, that no matter how much you dig in and strategize with the data available to you, crazy things can happen, as in 2014, when the #7 seed Connecticut took it all and the #12 seed North Dakota State University Bison upset the #5 seed Oklahoma.

    The fact is, each of the March Madness teams is bigger than its collective set of data. The players come with hearts, minds and bodies that often surprise us with amazing — and sometimes disappointing — action when they actually get out on the floor. The numbers can only tell so much of the story.

    The same goes for marketing.

    You can collect and analyze all your data and come up with a set of approaches that seem to fit. You can predict customer behavior and interests based on the facts you have on hand.

    But just as with basketball brackets, data driven marketing is multi-faceted… and at the end of the day, it’s about humans, individuals who often do unpredictable things. People don’t always take the actions you expect. They are changing and evolving all the time. They do one thing one day, and another the next.

    Does that mean you should give up on data? Absolutely not! Your data remains your biggest asset. Just keep it in perspective.

    Use analytics tools to dig deep into your customer behaviors and draw out insights that are bigger than last click or last purchase. Then, use those insights to design marketing campaigns that meet your customer needs more effectively. Giving your customers individualized attention and deliver an exceptional experience; don’t just push them to buy.

    That way, when you experience an “upset” that doesn’t seem to match your data, you’re in a much better position to pivot to meet a new need or connect in a new way.

    That’s individualized data-driven marketing.  And unlike some of the more unorthodox bracket approaches, it’s bound to lead to a win.

    The post Can Data Help You Choose The Next March Madness Winner? appeared first on Teradata Applications.

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