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  • admin 9:51 am on June 1, 2017 Permalink
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    Why “Unsupervised,” Autonomous Cars are Right Around the Corner 

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  • admin 9:51 am on February 2, 2017 Permalink
    Tags: , Harrington, , Picking, , Right   

    Picking the Right Partner to Win on Analytics: Q&A With Dan Harrington 

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  • admin 9:48 am on January 10, 2017 Permalink
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    Building the Right Analytical Ecosystem Architecture Takes Shrewd Planning 

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  • admin 9:51 am on November 8, 2016 Permalink
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    Why Being Wrong is the Best Way to Get Your Analytics Right 

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  • admin 9:51 am on September 6, 2016 Permalink
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    Earning the right to engage with customers on their terms 

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  • admin 9:54 am on June 30, 2016 Permalink
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    How To Get Your Data Lake Right the First Time 

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  • admin 9:54 am on September 26, 2015 Permalink
    Tags: , , , Right, , WindUp.   

    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.
    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 9:58 am on September 18, 2015 Permalink
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    RBC Doubling Success and Earning the Right to be the Clients First Choice 

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  • admin 9:52 am on September 18, 2015 Permalink
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    RBC: Doubling Success & Earning the Right to be the Client’s First Choice 

    Cathy F. Burrows Dir., CRM Infrastructure & Strategic Initiatives

    Cathy F. Burrows
    Dir., CRM Infrastructure & Strategic Initiatives

    Named one of the most valuable brands in Canada, Royal Bank of Canada (RBC) is an ideal case study of how to use data to support the brand, sales, and most of all the connection with the customer. RBC’s mission is to be the undisputed leader for financial services in Canada and to be the leading wealth management provider around the globe. As one of the top 20 largest banks globally with market capitalization of $ 107B (USD) they are fulfilling that mission.

    The Teradata Customer Engagement team sat down with Cathy F. Burrows, Director of CRM Infrastructure and Strategic Initiatives for RBC.  Her passion for data, analytics, and the insights gained from them is infectious.  Cathy is excited about the highly successful data solutions at RBC and described the innovative ways RBC uses data, analytics and applications to market and sell financial products and truly engage with the customer.


    RBC’s data-driven strategy values data and analytics as an asset; to that end, RBC has invested in a Unified Data Architecture with Teradata Aster™ and the Teradata integrated data warehouse.  All with the goal of having a single view of the customer. Marketing Applications like Teradata Customer Interaction Manager connect RBC to those customers through an omni-channel approach giving them double digit growth in sales campaigns. How did they do it? RBC laid the right foundation for their digital journey and put the customer at the center.

    Screen Shot 2015-09-17 at 12.02.29 PM“I think the real vision, or the mantra, for the team has been, ‘How do we get smarter, better? How do we get prepared for meeting the client where they are on their path or their journey, and ensure that we have the ability to continue to grow and evolve that way?’ We’ve had a strong history of it, but we need to make sure that we’re ready for what comes in the next waves, because it is changing, and we’re moving from what it is we know about the clients, to, ‘How do they truly want to be treated?’ Because they’re in control.” – Cathy F. Burrows, Director of CRM Infrastructure and Strategic Initiatives

    RBC’s client interaction strategy delivers every touchpoint in a meaningful way with the ultimate vision to deliver real-time support at the point of the client interaction in a full service face-to-face, an assisted, or in on-line self-service channels. Products change over time but if RBC creates trusted relationships and the ability to know the customer and connect with them on their preferred channel (or channels), it will ensure customer loyalty.

    “I think interactions are truly the point where you can make the difference of a good client experience or not. Our ability to be able to provide the kind of information that staff need to be able to support the interaction at a particular point in time, or even asking staff to be able to gather information that may be useful in a future interaction. For example, if I ask you, at a certain point in your life stage, and the fact that you have a retirement savings account with us, ‘When is your target retirement date?’, that’s an entirely legitimate conversation for a bank to be having with a client, whether they’re in sales or service. Having that information available to us for a future interaction or a future contact plan is pretty critical to see us as a committed and valued, trusted advisor.” – Cathy F. Burrows, Director of CRM Infrastructure and Strategic Initiatives

    Screen Shot 2015-09-17 at 12.01.29 PM

    The addition of big data has allowed for relevant contact rationale, giving RBC the ability to act on insights from patterns in customer behavior. For example, if a customer starts using the online mortgage calculator, but there is nothing in a customer profile to indicate they’re looking for a mortgage, RBC creates a customer touchpoint.

    “We proactively contact the client and say, ‘Is there something that’s going on that might be significant, relative to mortgages, and can we provide more information, based on what you’ve recently been looking at on the website?’ Honestly, we have had fairly positive responses from clients who’ve had that experience. In fact, we’ve had no negative ones, which is an even more important indicator.” – Cathy F. Burrows, Director of CRM Infrastructure and Strategic Initiatives

    Following customer behaviors also changed the way RBC operated their customer welcome program.  Before, RBC followed a 2 by 2 by 2 strategy, sending a specific email 2 days, 2 weeks and 2 months after a customer opened an account.  What they found was that by acting on insights from the customer’s behavior with Teradata Aster, RBC doubled the number of leads and increased the cross-sell of products.

    “What we discovered was, two days, two weeks, two months doesn’t fit everybody’s profile, and certainly not everybody’s behaviors. What was much more important was to understand when somebody had actually PIN’d their debit card for the purposes of being able to use it at point of sale or ATM; when they had actually funded their Screen Shot 2015-09-17 at 12.01.52 PMaccount, or deposited funds in their account that they would then be able to use the account more efficiently.  Certain types of transactional behaviors indicated they were either potentially very highly engaged with RBC, or potentially low engagement, and we might have to do some further kind of engagement intervention.” – Cathy F. Burrows, Director of CRM Infrastructure and Strategic Initiatives

    What does the future look like?  RBC plans to integrate Teradata Aster into their Unified Data Architecture™.  Eventually, Hadoop will be considered for data availability and accessibility. All of this supports RBC’s mission to always earn the right to be the client’s first choice.



    The post RBC: Doubling Success & Earning the Right to be the Client’s First Choice appeared first on Insights and Outcomes.

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  • admin 10:41 am on July 24, 2015 Permalink
    Tags: , Right,   

    When is the right time for real time 

    Please join us for our latest Data Science Central Webinar Series: When is the right time for real-time? Architectural best practices for Hadoop sponsored by MapR and ThinkBig, a Teradata Company. During this session, you will learn the ins and outs of low-latency design for analytics, as well as see how these designs get implemented in the real world.
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