Updates from February, 2015 Toggle Comment Threads | Keyboard Shortcuts

  • admin 9:47 am on February 25, 2015 Permalink
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    Marketing Resource Manager Enterprise Product Insights Brochure 

    Teradata Brochures

  • admin 9:51 am on February 24, 2015 Permalink
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    Selecting a Big Data Solution: 5 Questions to Ask 

    Selecting a big data solution five questions to askFor years now certain enterprises such as big-box retailers, online pioneers and consumer credit innovators have been successfully leveraging big data – to the point where these early adopter organizations can outperform competitors 2-1. They gain insights across their world – from their view of customers, to customer interactions and their perspective of the category.

    With such a disparity in performance between the big data literate and the big data phobic confirmed by the top consulting firms, how can there still be a lack of momentum in moving toward the big data light? Experts advise almost unanimously that big data must be the “next big move” among enterprises to stay competitive and have an edge in getting ahead.

    The big data terrain is still foreign and intimidating. Assembled here are 5 things to consider as you approach implementing a big data solution. They have been tailored to give you an eye for identifying the most competitive costs, shortest time to value and biggest results. Familiarize yourself with these concepts. Make them your questions to ask providers.

    1. How will this big data solution handle the rush of data today and tomorrow?

    Big data will race toward you with a staggering velocity, in great variety and with extreme volume. With regards to high velocity, ensure your ability to implement real-time processing or ad hoc queries. Handling high volume is a matter of the right hardware and infrastructure. Accommodating variety is more complicated and requires subject matter expertise. Consider both acquisition of big data and big data processes for getting the data into usable shape. Experts can leverage variety into a big success, but it can also be an opportunity for big failure.

    2. What is the total cost of the big data solution?

    Total costs include the initial implementation charges for hardware and software, and the cost for maintenance and support for the second year. Add in necessary labor costs…for data scientists, IT resources and analysts. Consider the necessary manpower to achieve the desired ROI for year one and two.

    3. Is the estimated time to value acceptable?

    Extracting rapid value from big data is not easy today. Businesses are challenged to find, hire and retain big data analytic professionals who can handle the implementation and management.

    Big Data solutions should be easy to implement and reduce time to value. The Teradata Aster Discovery Platform handlesmulti-structured data stores and offers 100+ pre-built analytics to quickly build big data apps. Included are visual functions for big data analytics & discovery.

    4. What direct and indirect benefits should you expect from a big data solution?

    Your organization should expect insights into increasing prospect conversions, reducing churn, upselling, improving customer experiences, marketing efficiency – all resulting in tangible benefits like increased revenue, efficiency or loyalty. Work with the big data solution provider to set realistic objectives like a lift in net profit margin for Year 1, Year 2, etc.

    Enterprises should also discuss and expect increases in IT and end user productivity. Organizations have documented (with independent research firms) that as many as 20% of employees (IT and business) have a direct benefit of increased productivity from insight that can be quickly generated an implemented.

    5. Are next generation short cuts or implementation aids available?

    In your initial review of big data solutions and providers, compare offerings to determine if options like pre-built functions or applications or industry knowledgeable professional services are readily available and affordable. Search for means of significantly reducing the time to value, the ongoing labor costs and the magnitude of your return on investment.

    Considering these factors will help ensure the fast and enduring success of your big data initiative so you can quickly take control of your organization’s competitiveness – in the era offering the biggest competitive growth opportunity in the last decade.

    Get more insights into big data solutions.

    The post Selecting a Big Data Solution: 5 Questions to Ask appeared first on Data Points.

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  • admin 10:33 am on February 23, 2015 Permalink
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    Meetup: The Sentient Enterprise 

    The Hive Think Tank Meetup
    Teradata Events

  • admin 9:51 am on February 23, 2015 Permalink
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    The Four Essential Truths Of Real-Time Customer Engagement: The First Truth 


    Let’s face it: Not all customers are created equal. Some customers are your lifeblood; others seem to drain the life out of you. Different customers drive different degrees of revenue, just as they require varying costs to serve. Understanding these distinctions, and adapting your interactions and the offers you extend, can determine how much incremental revenue/profit you’re able to realize from each customer engagement.

    In fact, the issue of distinctive customer value is at the crux of many “connected customer” predictions, and it serves as the foundation of my first essential truth of real-time customer engagement:

    If you don’t know who you’re talking to, it’s almost impossible to be relevant.

    I was first exposed to this concept in 1996 with the release of Frederick Reichheld’s quintessential tome, The Loyalty Effect.  More recently, Reichheld wrote that 2015 should be the year that companies should fire bad customers. What? Fire your bad customers? Isn’t that heresy to a marketer? We spend all this effort on marketing campaigns designed to attract and retain customers, and now Reichheld says we should intentionally eliminate certain transactions and transactors? But his philosophy is sound. It actually makes perfect sense, if the cumulative effect of transacting with a specific customer is negative in the strategic long term.

    If that is indeed the case, not knowing who you’re interacting with might create a competitive disadvantage to you. You could be neglecting to put your best offer forward to good customers, or interacting with “bad” customers in a way that minimizes their profit/margin potential.

    So then, this first essential truth is ultimately about being able to detect whom you’re dealing with at the point and time of customer interaction. Unfortunately, though, just as all customers are not created equal, all interactional channels are not created equal. The challenge of detecting or uniquely identifying customers varies across paid, earned and owned interactional opportunities. Let me explain…

    To gain individualized insights about the customers you’re interacting with in the “paid” channel world, you have combine digital profile “demand-side” data with digital consumer data in a data management platform (DMP). But, depending upon the depth of your DMP, it may still be quite difficult to identify specific customers beyond visitor and cookie data. Still, with the right analytics tools, much can be done to individualize the engagement and learn from that device-level customer interaction.

    “Earned” channels (like Facebook, Twitter and LinkedIn) are easier because you have the option of consuming account profile data as customer identifiers and personalization attributes for offers, treatments and messages.

    Finally, “owned” channels – where you’re in complete control of the customer identification quandary – offer opportunities to detect exactly whom you’re interacting with. Then, you can treat them in ways that are commensurate with their standing as one of your Known and Appreciated customers… or banish them to the barren hinterlands of the voice-response unit if they fall into the category of the Known and Unappreciated.

    You have to face the same dilemma across all interactional channels; you just have to face it in different ways. You need to detect specifically whom you’re interacting with, because if you don’t know that individual, it’s almost impossible to be relevant.

    The post The Four Essential Truths Of Real-Time Customer Engagement: The First Truth appeared first on Teradata Applications.

    Teradata Blogs Feed

  • admin 10:33 am on February 22, 2015 Permalink
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    Teradata Innovation Forum Sydney Australia 

    Teradata Events

  • admin 9:51 am on February 22, 2015 Permalink
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    Would A Celebrity Tweet From The Oscars Help — Or Hurt — Your Brand? 

    oscarIt was just less than a year ago when Oscars’ host Ellen DeGeneres took a quick selfie with a few famous folks – and practically took Twitter down in the process. The image went on to be the most re-tweeted image ever and was estimated to be worth up to $ 1 billion in advertising dollars for Samsung, the manufacturer of the phone used to take the shot.

    Why so valuable? Well, the image brought together a host of famous folks (only one of which Samsung was paying to take part) and the moment happened during the show –not during a commercial break, when viewers might get up to grab a snack.

    So just as with the increasing emphasis on real time marketing during the Super Bowl (especially as traditional 30-second spots wane in impact), you can bet that more than a few brands are scheming to snag some Samsung-level buzz when Hollywood’s biggest night comes around again this year.

    But should brands really be aiming for this kind of exposure? Does a celebrity endorsement on social media guarantee a boost in sales? Do customers actually care if someone famous uses the same product they do?

    Those questions don’t have a simple “yes” or “no” answer. Why? Because we all know that today’s consumers are bombarded with information and fragmented, disjointed marketing messages 24/7. Tapping a celebrity to help differentiate your product may seem like an obvious slam-dunk – but think, again. Perhaps the endorsements you’re looking for are much closer to home.

    Nowadays, many of us turn to recommendations from our social connections and online product reviews to make choices about the products and services we’ll invest in, in no small part because we see their comments as unbiased, ensuring we get the real story, instead of just a pitch. If my good friend says she loves something, odds are I might, too.

    A celebrity might inspire us to look into a product, sure. But when we know they’re getting paid to tell us about it, their review is a little suspect.

    So what’s a brand to do in this new era?

    Get individualized. 

    Today’s consumers have lost patience with traditional marketing campaigns and customer experiences that fail to put their needs above the bottom line. These days, your customers are expecting to connect with you in ways that are much more personal than a celebrity endorsement on a TV screen, and that’s where data driven marketing comes in.

    As your customers interact with your brand across channels, they provide you with incredibly detailed information about their preferences, interests, wants and needs. You have what you need to create an individualized experience if you have the tools to dig into your goldmine of data—and then act on the insights you find there.

    All this is not to say that influencers and advocates can’t be a part of your marketing strategy. Just remember: The influencers need to be relevant, approachable and real. They need to be people your audience can identify with.

    The best part about these “real” influencers? They’ll engage with you and sing your praises to other people they know, in ways that are relevant to them. They’ll build a community around what you have to offer, because that community benefits them. They already know what matters to your audience… because they are your audience.

    And perhaps best of all, you won’t need an awards show to find them.

    The post Would A Celebrity Tweet From The Oscars Help — Or Hurt — Your Brand? appeared first on Teradata Applications.

    Teradata Blogs Feed

  • admin 10:34 am on February 21, 2015 Permalink
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    Teradata Innovation Forum Canberra Australia 

    Teradata Events

  • admin 9:52 am on February 21, 2015 Permalink
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    The Open Data Platform is an Answer to Our Hadoop Prayers 

    Nearly two years ago, in June 2013, I penned an article that appeared in Fast Company called “A Prayer for Hadoop.” In that piece, I made a heartfelt plea to the vendor community that supports Hadoop, or offers their own distributions, many of them Teradata partners, to unify our cause to help make Hadoop easier and more enterprise-ready. I talked about the need for sensible corporate engagement in the Apache Hadoop open-source community, so we can help corral the increasingly fragmented ecosystem of Hadoop tools and create the conditions that allow businesses to extract value from big data with new and innovative data-driven, analytic applications.

    At the time, I wrote, “There is still a lot of work to be done. For instance, the lack of community consensus around a defined standard interface raises the unwelcome specter of UNIX-style fragmentation. For Hadoop to reach full maturity without fragmenting the code, it must be the joint effort of the collective data analyst and scientist community.” The core of the plea that I made two years ago, and have been making ever since, came to pass this week with the announcement of the Open Data Platform, of which we at Teradata are proud members.


    The Open Data Platform brings together partners, competitors and Teradata customers across the industry to develop a standard offering around Hadoop open source, which eases vendor lock-in and offers the industry a “test once, use everywhere” core Hadoop platform. It is a great thing for the industry. It is a significant step forward, as the world coalesces around an integrated, unified data ecosystem – another piece of the big data movement that we’ve been advocating for some time, as the first to bring a Unified Data Architecture to market back in 2012 at our annual PARTNERS conference.

    Simplicity and choice are dual signposts that I’ve written of in the past that will help move businesses toward more meaningful and data-driven insights. Vendors across the big data ecosystem, as we’ve done at Teradata, must reach across aisles and embrace multiple partnerships and collaborative agreements with other providers in the industry. It’s really the only way to preserve the simplicity for businesses as they pick and choose among multiple technologies to build ecosystems for managing data how and where it makes the most sense for them.

    As companies face more complexity and hype, we continue to bring comprehensive solutions to market, such as the Data Fabric enabled by QueryGrid, which seamlessly stitches together open source Hadoop, data warehouses and other systems into a single platform for analytics. Our focus has been and always will be singularly on delivering actionable analytics for customer success. Our participation in the Open Data Platform initiative is yet another step toward that goal. The Open Data Platform is about innovation and standardization, and a thrilling answer to my “prayers.”

    Scott Gnau

    The post The Open Data Platform is an Answer to Our Hadoop Prayers appeared first on Enlightened Data.

    Teradata Blogs Feed

  • admin 9:50 am on February 21, 2015 Permalink
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    The Power of Understanding the Customer Experience Journey in Telecommunications and Beyond 

    Teradata White Papers

  • admin 9:50 am on February 21, 2015 Permalink
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    Opportunity Cost How Cloud Changes the TCO of Data Analytics 

    Teradata Web Casts

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