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  • admin 9:51 am on March 7, 2017 Permalink
    Tags: , Blending, Choice, , , , , , , , Superior,   

    Teradata Launches IntelliCloud™ – Blending Superior Data and Analytic Software as a Service with Expanded Deployment Choice 

    New packaged service expands hybrid cloud options, giving businesses more choice, greater dexterity, and an increased focus on applying their analytic insights
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  • admin 9:52 am on January 12, 2017 Permalink
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    Teradata Expands Customer Choice in Hybrid Cloud Solutions with Teradata Database on Microsoft Azure 

    Teradata software provides best-in-class performance, flexibility and scalability across on-premises and cloud environments
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  • admin 9:53 am on November 22, 2016 Permalink
    Tags: , , , , Choice, , , , , , Peoples, , Russian,   

    Teradata Receives People’s Choice Award for “Best Analytics Application” in Russian National Government Financial Data Contest 

    Teradata Receives People’s Choice Award for “Best Analytics Application” in Russian National Government Financial Data Contest
    Teradata's project for open government financial data analysis becomes the audience choice at a tender announced by the Ministry of Finance of the Russian Federation

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  • admin 9:51 am on April 22, 2016 Permalink
    Tags: Choice, , , , , , , , ,   

    Teradata Hybrid Cloud Introduces Power of Synchronicity More Flexibility Choice Value 

    Teradata Hybrid Cloud Introduces Power of Synchronicity: More Flexibility, Choice, Value
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  • admin 9:58 am on September 18, 2015 Permalink
    Tags: Choice, , , , , ,   

    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 9:51 am on July 10, 2015 Permalink
    Tags: , Choice, Configurable, , Distributions, , , ,   

    Teradata Launches First Configurable Appliance for Big Data with Choice of Hadoop Distributions 

    Innovative data platform accelerates time to value
    Teradata News Releases

  • admin 9:57 am on July 5, 2015 Permalink
    Tags: Choice, , ,   

    Could the Wrong Choice Put Your Job at Risk? 

    by Dan Simerlinkfeature-save-the-day

    When evaluating software solutions, businesses need to determine if they should build or customize their own software, or buy from a vendor. Making the correct choice will deliver a strong ROI, enable a competitive advantage and earn accolades for the decision maker. However, the wrong selection can be costly for the business—and for the career of the person spearheading the project.

    Buy versus build decisions used to be straightforward, partly due to limited options. Organizations would assess their needs and the IT staff’s workload, then make a decision based on a total cost of ownership (TCO) analysis. These days, businesses need more accurate methods to keep pace with a labyrinth of ever-expanding choices.

    Project Risks and Career Perils

    When organizations build or customize a solution, they should expect a 10% to 15% error rate, according to an article on ComputerWeekly.com. The article also notes that in the U.S. alone, an estimated $ 75 billion a year is spent on rework and failed or abandoned systems. For example, poorly tested software caused transaction process problems for millions of online customer accounts and resulted in widespread email phishing attacks that cost one large multinational bank more than £50 million.

    On the other hand, purchasing a solution reduces the likelihood of time and cost overruns, and the possibility that the project will fail because:

    • Conversations between vendors and their customers identify the pros and cons of the solution
    • Many of the errors and bugs have already been worked out
    • Vendor specialization in deployments eliminates a long learning curve

    Although the cost of failure is usually not considered in the buy versus build analysis, thousands of hours can be sacrificed on a project that will never launch. Even if the project does see the light of day, time and cost overruns can impact people’s careers.

    In terms of career stability, the riskiest decision is for the company to build its own software. This exposes the decision maker to much more scrutiny than a “buy” scenario. When a company buys software, the vendor shoulders part of the risk and assigns additional resources if the implementation timeline slips—assuming a reputable vendor with a track record of success is chosen.

    Narrow the Choices

    The abundance of customizable software solutions now available has erased the hard dividing line between buy and build decisions. As technology matures and business models evolve, default modes for a funding model for buy versus build decision making need to be re-evaluated.

    Increased competition, shorter time-to-value cycles and the rapid pace of innovation are forcing organizations to look at the speed and agility of their software deployments. In fact, speed of deployment, innovative features and agility can be parlayed into a competitive advantage, which means the project must be carefully planned so that advantage is not devoured or sacrificed to failure.

    The decision-making process should entail estimating the TCO for the software. A good starting point is to create a list of criteria for each potential option that weighs factors such as time to value, solution functionality, the technical expertise required and funding. The value proposition for the buy, build or customize options can help narrow the choices.

    Once a couple of options have been eliminated, it’s time to estimate the cost of the ones that made the cut. An example of a build or buy decision based on an audit of an actual software project is presented in the figure. The build scenario on its left side shows the percentage of total labor used to build the solution, while the buy scenario on the right compares the labor hours needed to purchase a solution with similar functionality. The difference is a whopping 17 months.

    Considering the time to value, which is erroneously omitted from many financial business cases, helps make a more informed project decision. Including all costs, along with ROI and time-to-value evaluations, enables decision makers to reach the most informed conclusion.

    Critical Decisions

    The proliferation of software vendors and solutions has greatly complicated the selection process. To make the best choices, organizations need to quantify options and approaches to determine the total costs and benefits.

    The right choice will deliver substantial value to the business and could launch a person’s career. At the other end of the spectrum, the wrong choice can cost a lot of time and money—and put your job at risk. 

    Read the full article and more in the Q2 2015 issue of Teradata Magazine.

    Dan Simerlink is a Business Value Consultant for Teradata and has more than 20 years of experience in the technology industry. He is also an Adjunct Professor at Indiana Wesleyan University.



    The post Could the Wrong Choice Put Your Job at Risk? appeared first on Magazine Blog.

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  • admin 9:52 am on April 25, 2015 Permalink
    Tags: , , Breed, Choice, , , , ,   

    Teradata QueryGrid Expands Customer Choice for Best of Breed Analytic Technologies 

    Enhanced QueryGrid delivers greater choice of Hadoop distributions, architectural flexibility, and analytic extensibility
    Teradata News Releases

  • admin 9:51 am on January 18, 2015 Permalink
    Tags: Advisors, Choice, ,   

    Trusted Advisors in the Era of Open Choice 

    I’ve been talking a lot lately about how analytics customers have an unprecedented opportunity to call the shots and define which tools make sense for leveraging data in the best possible way for their businesses. If you can understand the choices in front of you these days and figure out how all the different pieces need to interact, that’s pretty much your road map for creating value from data.


    But, the flip side of open choice is the confusion that can easily result from so many options.  Every new tool brings claims, reviews and hype that you have to sift through to get to the truth about whether and how you might actually use it for your own architecture.  As a result, your big data road map can get littered with road blocks and unanswered questions that stall innovation. What’s the best way to leverage Hadoop? How can I ensure flexibility to adapt to new data types over time?  Is this open source technology mature enough for my enterprise? Your business plan needs clarity, and confusion is the enemy of clarity.

    Given this landscape , I think it’s worth remembering the “Trusted Advisor” concept that’s so important here at Teradata and derived from the 2001 book of the same name by David H. Maister, Charles H Green and Robert M. Galford.  These veteran professional services and consulting experts wrote The Trusted Advisor to explain how clients need to trust not just what you sell, but the advice and guidance you give about your products and even broader business issues that involve your expertise.

    I’ve made the case before about how Teradata embraces and earns this Trusted Advisor role on behalf of our clients. It’s like a North Star among our more than 4,000 professional consultants as they draw on expertise from more than 1,200 implementations over 25 years.  We mentor clients throughout the engagement on any number of issues — from architecting, building and implementing, to analyzing, tuning and managing your analytics environment.  And we back up our commitment to a best-of-breed ecosystem by working closely with additional third parties and vendors in whatever way works best for the customer’s needs.

    All of this was true in June 2013 when I first wrote a blog post about the Trusted Advisor. But since then I think our credibility has grown even more with every acquisition and partnership we pursue. In recent months, we acquired Hadapt, the company specializing in natively integrating SQL with Apache Hadoop; we also acquired Revelytix, known for its deep history in metadata management via its Loom open platform for discovering, profiling, preparing and tracking data lineage in Hadoop. And, our acquisition of Think Big Analytics, a leading consulting and solutions company focused exclusively on reaping value from big data, instantly takes our advisory capabilities to the next level.

    I think these acquisitions and related moves – like our collaboration with NOSQL database and application development leader MongoDB, and our partnership with Revolution Analytics and the release of Teradata Aster-R to make open source R language more enterprise ready  –  burnish our credentials as a Trusted Advisor.  It’s a lot easier for customers to trust advice when they’re getting it from a company like Teradata that’s a proven collaborator across the industry and with a nerve center – in the form of our recently released Teradata QueryGrid – to seamlessly orchestrate queries both within and beyond our own Unified Data Architecture.

    As a Trusted Advisor, we don’t tell customers what to do; we help them discover their own analytics path by listening and adapting to their business needs. We roll up our sleeves alongside our customers and go to battle with them in the quest to turn the tsunami of big data into business value and insights – this approach is ingrained in our culture and DNA at Teradata. We are right there on the frontlines with our customers, arming them with the best technology tools and the smartest consulting partners.

    I’ve always been proud of our role as a Trusted Advisor, particularly since my early years at Teradata were spent as a consultant.  But, lately I think our leadership on this has evolved even further in two significant ways:  Our capabilities have grown; and in this era of open choice, our broad expertise is all the more rare as customers look for a partner with the right answers and the experience to offer clarity.

    Scott Gnau

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