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  • admin 9:48 am on January 10, 2017 Permalink
    Tags: , Architecture, , , , , Shrewd,   

    Building the Right Analytical Ecosystem Architecture Takes Shrewd Planning 


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  • admin 9:51 am on November 1, 2016 Permalink
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    Teradata IntelliFlex Architecture PARTNERs 2016 Presentation 


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  • admin 9:47 am on March 15, 2016 Permalink
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    Introducing Apache Spark into Your Big Data Architecture 


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  • admin 9:47 am on March 12, 2016 Permalink
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    Taking the IDW Global Part I The Architecture 


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  • admin 9:52 am on February 12, 2016 Permalink
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    Symantec: Capitalizing with Teradata Unified Data Architecture™ & the Internet of Things 

    Screen-Shot-2016-02-08-at-1.51.10-PM

    Monish Doshi Sr. Mgr, Data Platforms

    How does an initiative driven by finance from the beginning impact an entire company?  When the customer journeys are captured, analyzed and improved for acquisition, expansion, and retention. This data-driven initiative is expected to reap $ 200M in new revenue for the global software giant Symantec in just the first year.  It includes innovations in data utilizing the latest trends – Internet of Things (IoT), Hadoop data lakes, big data and telematics.

    The global leader in security, backup and availability solutions, Symantec serves B2B and B2C markets for small mobile devices, enterprise data centers and cloud-based systems.

    As we indicated, the initial journey began with finance. Conversations started with the desire to understand what analytic capabilities were needed by various business teams across the company. As Symantec assessed the many data marts in use, it was clear that there were more than 200+ business cases to drive, automate and scale data requirements.

    “We weren’t sure where we were heading.  We used our data warehouse mainly as a financial data mart.  There was stuff that was done more on a reactive basis versus being proactive.  One of the key things that we wanted to do is have a whole vision on the Customer 360 from the time a customer goes into our website and downloads information about our products, to the time they come in and we engage with the customer.” – Monish Doshi, Senior Manager, Data Platforms

    Symantec combined customer information, product sales, product usage AND customer satisfaction data giving them huge insights end-to-end.

    “We track what they are buying, their usage, and the telemetry. Looking at that, we want to sell more.  Based on the usage pattern, I think they may benefit by having some other product line of ours.”  – Monish Doshi, Senior Manager, Data Platforms

    Screen-Shot-2016-02-08-at-1.51.10-PMGathering telemetry data from the Internet of Things (IoT), Symantec places unstructured data into a Hadoop data lake. The data is aggregated and pushed into Teradata.  The first use case looked at customers who had purchased products they weren’t using or using products they hadn’t purchased.

    “They paid for a thousand licenses but their install base shows two thousand or they got four products but they are using six products.  Earlier we were not able to connect those dots.  Once we had this integrated data warehouse and we started bringing data from all kinds of sources it solved the business problems that we had earlier.  It’s increased our revenue.  It’s helping us build our sales pipeline.  All that is really important to the company.” – Monish Doshi, Senior Manager, Data Platforms

    The telemetry data in the Hadoop data lake is also helping engineers and developers enhance Symantec products. State of health data is used to determine patterns for the next security breach enabling innovation.

    “We get a lot of data from the servers, even from the consumer side.  Let’s say you install a Norton antivirus, it sends a lot of data back on what kind of services you are using, what are the threat detections? What are the frequency of updates for the viruses?  We take that data and store it for how that plays for the businesses.  We tie it to a lot of different data sets, like bookings, install base, and deploy base.” -Monish Doshi, Senior Manager, Data Platforms

    Teradata Data Labs were also a huge source of value.  Symantec would look at existing data marts in their infrastructure and then determine if that data was already in the Teradata integrated warehouse.  Using Teradata Data Labs, Symantec tested the purpose of the data mart against existing production data.  When successful, Symantec would bring the data mart on board and then shut it down.  Cost avoidance complete.

    Congratulations to Symantec for all your success!

    The post Symantec: Capitalizing with Teradata Unified Data Architecture™ & the Internet of Things appeared first on Insights and Outcomes.

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  • admin 10:34 am on February 6, 2016 Permalink
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    Webinar: Introducing Apache Spark into Your Big Data Architecture 

    Join Eliano Marques, Data Science Global Practice Lead at Think Big, a Teradata Company, and Anand Iyer, Senior Product Manager at Cloudera to learn more about Apache Spark, how to overcome obstacles, and much more!
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  • admin 9:55 am on December 8, 2015 Permalink
    Tags: Architecture, , , , , , , ,   

    O2 Czech: Creating customer loyalty & new revenue streams with a Unified Data Architecture™ 

    What industry do you think has been most transformed by data? If you said “Telco” you wouldn’t be alone in your opinion.  Smart Data, Big Data, whatever you call it, the telco industry has embraced it.  But, using data to improve network reliability and retain/acquire new customers is table stakes. If you want to be at the cutting edge of data utilization, it’s all about data monetization!  And that’s exactly what O2 Czech is doing, while creating historically high customer satisfaction.

    O2 Czech offers multiple services – internet, voice (both fixed and mobile) and TV. As the leader in the marketplace, O2 Czech disrupts their business and the market by being the first operator to offer unlimited FREE tariffs.  That created a bit a of market revolution. With 40% penetration of smart phones in the Czech Republic, O2 Czech needs to innovate to continue driving mobile data traffic – that data traffic creates opportunity – data monetization!

    Stan Kura Chief Data Officer O2 Czech

    Stan Kura
    Chief Data Officer
    O2 Czech

    Our team had the opportunity to talk with O2 Czech Chief Data Officer Stan Kura who says O2 Czech is the first company in the world to externally monetize the data in this way.

    “Everybody wants to target individual customers and this is where we come in with our product suite. We basically developed a completely unique set of services that help the advertisers target individual customers across multiple media types. Basically, do real cross-media, targeted campaigns for the first time in history.” – Stan Kura, Chief Data Officer, O2 Czech

    Focusing on a B2B2C business strategy, O2 Czech used the multiple sources of diverse data (gender, age, home location, work location commuting routes and even hobbies) to help media companies target  customers with precise behavioral profiles.  Ads target consumers on multiple channels, including online banners, direct store, outdoor ads like billboards and SMS. O2 Czech leads the dialogue with the consumer and when the consumer reacts, they get a specific personalized offer. All this creating new revenue.

    Teradata platforms, specifically Aster, played a really important role in this. This platform really speeds up the prototyping, and playing with the data and the analytics. Instead of having a team of java programmers that would be programming every little pilot on Hadoop directly, you have a really flexible, fast, and high-performance interface.  In a couple of days, you can have a prototype of what you want to test. In that respect, this was invaluable.” – Stan Kura, Chief Data Officer, O2 Czech

    Screen Shot 2015-12-07 at 8.39.48 AMResults were dramatic. In just the SMS channel alone, O2 Czech grew 50% year over year. Very important considering O2 Czech experienced a 25% decline in mobile market voice pricing and a 22% reduction in operating expenses so far in 2015.

     

    “This is by far the fastest-growing unit within our company, in an industry that is for many years now, in stagnation and in decline. It was successful.” – Stan Kura, Chief Data Officer, O2 Czech

    So how did O2 Czech create historically high customer satisfaction in the declining industry?  Analytics from the Teradata Unified Data Architecture™ give insights into improving systems and processes to build on the benefits enabled by the game changing unlimited tariffs we mentioned above.  All leading to lower numbers in customers’ complaints and negative/repeated calls – improving their experience and satisfaction.

    Congratulations to O2 Czech on all your success!

    The post O2 Czech: Creating customer loyalty & new revenue streams with a Unified Data Architecture™ appeared first on Insights and Outcomes.

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  • admin 9:57 am on December 4, 2015 Permalink
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    O2 Czech Creating customer loyalty and new revenue with a Unified Data Architecture 


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  • admin 9:53 am on September 28, 2015 Permalink
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    Forget End State Architecture – Aim for Endless State 

    Often working and discussing amongst peers and customers I hear the term “end state architecture”. It sounds like some magical nirvana where we all work hard to deliver and configure a solution that will meet all of the expectations (and maybe solve world hunger at the same time) at a point in time in the future. The sales division of vendors is partly responsible for this approach because the story usually starts off by defining the current problem as this mass of integration points/issues as depicted below:

    To an end state where life seems so much easier and simple.

    If only it was so easy……

    So in architecture should we aim for an “end state”? Shouldn’t we be aiming for an architecture that will support the business objectives at that particular point in time in the future? Whilst at the same time ensuring our architecture is flexible and adaptable if those business priorities change during the course of the project. Thus the endless state architecture concept.

    The last point above is important because too often we see an end state set in stone and all of a sudden the business priorities change and the cost to shift away from the end state is prohibitive and thus IT pushes on to deliver a solution that all of a sudden doesn’t support the business and the project becomes an expensive white elephant.

    The speed and rapidly changing nature of the analytics industry dictates that we shouldn’t have an end-state architecture but rather an architecture that evolves and adapts as the business changes. In essence there is never an end-state. A bit like a chameleon having to change it’s colour based on the environment it is in.

    Whether we like it or not, that’s the present day operating environment that we have to design architectures in. If you go down to a lower level and apply a traditional architecture approach to Hadoop and Big Data architectures, you’ll forever be chasing your own tail. Hadoop architectures, products and functionality are released at such a rapid rate that for me it is basically a full time job keeping on top of it all. So what’s the point of having an end state architecture when we’ll never reach it? It’s a major contributing factor as to why 68% of IT projects fail.

    Michael Nygard delivered a great speech on the concept of an endless- state architecture. The concept outlined here is that we should create architecture that is specifically optimized for change, with principles about where to place certain decisions and how to adapt over time. Optimized for change is important and as much as possible an architecture should be modular in it’s design. Each component should be best of breed, integrate together yet be swapped in or out over time to adjust to the changing business landscape. Another term applied to this concept is the sentinent enterprise.

    Lastly an evolving architecture also relies on the human element to succeed. The continuity of a cohesive team to deliver the architecture, the tenure of a CIO to ensure it is supported at the executive level and of course the developers and project managers at the coal-face to deliver the functionality to meet the requirements.

    Key tenants of an endless state architecture:

    • Use of open source technologies
    • Enterprise integration standards such as SOAP and Rest Services
    • Commodity hardware that is swappable
    • Skillsets within the team that are relevant and adaptable

    An eye on the changing priorities of the business.

    Ben Davis is a Senior Architect for Teradata Australia based in Canberra. With 18 years of experience in consulting, sales and technical data management roles, he has worked with some of the largest Australian organisations in developing comprehensive data management strategies. He holds a Degree in Law, A post graduate Masters in Business and Technology and is currently finishing his PhD in Information Technology with a thesis in executing large scale algorithms within cloud environments.

    The post Forget End State Architecture – Aim for Endless State appeared first on International Blog.

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  • admin 9:47 am on August 14, 2015 Permalink
    Tags: , Architecture, ,   

    Best Fit Engineering in Analytic Architecture 


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