Tagged: Step Toggle Comment Threads | Keyboard Shortcuts

  • admin 10:01 am on January 2, 2018 Permalink
    Tags: , , , Step,   

    Teradata is on a Mission! And, 2017 was a Big Step Forward 

    Latest imported feed items on Analytics Matters

  • admin 9:55 am on September 7, 2015 Permalink
    Tags: , Bold, , , , , , Step,   

    Could A Bold Step Into Data-Driven Marketing Triple Your Customer Base? 

    CLOGGSIf you offer a great product at a great price, it stands to reason that your customers will come back for more of the same. But with so many brands competing for eyeballs and wallets (both online and offline), you can’t simply sit back and wait for those customers to return.

    CLOGGS, an award-winning shoe retailer in the United Kingdom, provides shoes for the whole family under the company motto, “Happy feet make for a happy you!” Using one original brick-and-mortar store and an extensive online selection since 1998, CLOGGS offered a product consumers loved, and yet somehow, those customers were getting lost on the way back after their initial purchases.

    When the company opened two more brick-and-mortar stores and then expanded its presence into France and Germany online, the need to refine the customer experience and foster loyalty went to the top of the to-do list. As a result, CLOGGS turned to Teradata Digital Marketing Center for help getting back on the right foot.

    “We had a lot of issues where customers weren’t receiving all our marketing communications,” Nigel Linton, Head of Platform Operations at CLOGGS, said. “They bought from us, but there wasn’t an easy way for them to say, ‘I bought from you and I really like you and I want to hear more.’”

    CLOGGS was looking for a partner with the marketing operations and analytics tools that would enable customers to actually request and receive smart content, not just the same deals repeated over and over. The company also wanted to tap into additional data to provide invaluable customer insights:

    • Purchase history
    • Email open rates
    • Money factors
    • Seasonal trends
    • Behavior within communication channels:
      • Is the newsletter working?
      • The customer opened the e-mail, but they didn’t click through.  Why not?  Was it brand related? Does the customer have a brand interest?
      • Is the price too high?
      • Would an interaction with the customer via social, SMS/text change the outcome?

    With a nod to Teradata’s best practices, customers now receive an individualized email —an email based on the preferences and interests they personally share with CLOGGS —which brings them to the company’s website. This has brought conversation rates on any device to a staggering 25%-66%. CLOGG’s other results are just as impressive:

    • Before Teradata, CLOGGS had 200K customers… now there are 600K.
    • Open rates increased from 8% to 33%, and some are as high as 45%.
    • If CLOGGS uses a lifestyle graphic, open rates increased 15%-25%.
    • If a dynamic graphics was used, open rates were as high as 25%.

    Linton confirms that the company’s outreach to customers has never been more effective.

    “Teradata’s Digital Marketing Center enables CLOGGS to connect better with our customers by making sure we are plugged directly into where they purchased from, what they purchased, and connect with what they want to purchase next,” he said.

    Click here to see a short video about how CLOGGS is using digital marketing to give the best customer experience “from the click of the mouse to the knock at the door.”

    The post Could A Bold Step Into Data-Driven Marketing Triple Your Customer Base? appeared first on Teradata Applications.

    Teradata Blogs Feed

  • admin 9:51 am on May 1, 2015 Permalink
    Tags: , , Converting, , Private, Step,   

    Your First Step To Converting Your Analytical Warehouse To a Private Cloud 

    So your organisation has decided to commence discussion with your vendor to move your current analytical platform to a private cloud service. How do you go about making the first step? What areas do you need to consider?   How far do you go in converting existing functions to an outsourced service? How do you go about constructing a new service agreement around an Analytical Warehouse as a Service (AWaaS)?

    Many organisations want to develop a data warehouse environment that have the flexibility in provisioning for additional capacity with the certainty and predictability of cost. They also wish to avoid the lumpy capital expenditure associated with large platform upgrades and refreshes.   Most of the focus has been in changing the financial arrangements, converting from a capital expenditure model to an operating expense model (rent instead of buy).

    However, there are various factors that need to be considered if one is to fully leverage the opportunities presented when converting to a private cloud service model. To add to the complexity, it is not uncommon for various stakeholders to have different interpretation of what a new service should cover.

    The following article shares a framework that Teradata uses to help in developing a new cloud service construct. The framework is used in developing an initial position – a straw man –to clarify requirements and intent beyond the new service. The straw man provides a foundation to build the new service contract.

    The figure below summarises the nine levers to consider in designing your AWaaS.






    Each lever is discussed further below.














    Who will be responsible for day to day operations of the warehouse environment including DBA, backup, network, batch jobs, program tuning, administration, fault management etc. ?










    A higher Flex capacity increases risk and will therefore increase provisioning cost for the vendor.













    Most clients provide shared a data centre facilities. Future transition to Vendor hosted Cloud offerings should also be considered. 
















    Organisations that have rudimentary capacity planning processes can seek support from the vendor and include this as part of the service contract.


















    Longer period generally reduces cost and needs to include direct cost and included service features.










    Our experience working with other organisation on several of his AWaaS type arrangement is that each client is unique. Defining the requirements and target state is an iterative process as both client and vendor better understand the implications of the service construct.

    The form below is an example of a completed initial description. Having this straw man will help in developing a common understanding and can highlight conflicts and inconsistencies.








    This framework was very helpful in our initial discussions with organisation who wish to explore their options.   Having this framework helped both clients and vendor better understand the requirements and to commence co-operate design of a new service solution.

    Renato Manongdo is a Senior Financial Services Industry Consultant at Teradata ANZ and is also the practice lead for Business Value Measurement in Asia Pacific. Connect with Renato Manongdo on Linkedin.



    The post Your First Step To Converting Your Analytical Warehouse To a Private Cloud appeared first on International Blog.

    Teradata Blogs Feed

Compose new post
Next post/Next comment
Previous post/Previous comment
Show/Hide comments
Go to top
Go to login
Show/Hide help
shift + esc