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  • admin 9:51 am on June 1, 2017 Permalink
    Tags: , Around, Autonomous, , Corner,   

    Why “Unsupervised,” Autonomous Cars are Right Around the Corner 

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  • admin 9:54 am on October 11, 2016 Permalink
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    Enedis: Innovating with the Digitization of Energy Distribution in France and Around the World 

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  • admin 9:52 am on August 19, 2016 Permalink
    Tags: Around, , , , Driver’s, , , , , , , ,   

    Volvo Cars: Capitalizing on the Internet of Things for Endless Opportunities to Keep Drivers Safe and Cars “Designed Around You” 

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  • admin 9:51 am on December 19, 2015 Permalink
    Tags: , Around, , , , , Fueling, , , , ,   

    Volvo Cars: Fueling Innovation with Data, Analytics and the Internet of Things so that Every Volvo is “Designed Around You” 

    The use of data has exploded in this century – we’ve all heard the seemingly outrageous statistics on the exponential growth of data. And they’re true! No where is this explosion of data more evident than the automobile industry.  Mechanical engineers, design engineers, data scientists, business analysts… you name it, they are using data in every area of the automobile industry. Data and analytics have permeated every aspect and companies like Volvo Cars in taking innovation to a whole new level.

    Throughout its history, Volvo Cars set the safety standard by which today’s automobiles are judged; so in 2011 Volvo Cars set out to add more luxury and services with a new corporate strategy called, “Designed Around You.” Data and analytics are one of the most critical tool sets in that new strategy.  The Customer Engagement team had the privilege of sitting down with Volvo Cars’ Jan Wassén whose enthusiasm for the power of data analytics is truly infectious – we’re ready to make our next car purchase a Volvo!

    Jan Wassén Dir. of Business Analytics

    Jan Wassén
    Dir. of Business Analytics

    “The mission is to be the most desired premium car brand, and the vision to make life less complicated for people but also utilize and build on our strength, when it comes to our core qualities – safety, quality and environmental care.”  – Jan Wassén, Director of Business Analytics

    Fulfilling this mission with data and analytics is giving Volvo drivers tons of cool features with Volvo’s Connected Car. 80-90% of all Volvo Cars are connected (think internet of things) with customer permission and that gives Volvo data-driven information and drivers data-driven services.

    Data-Driven Information

    Originally Volvo Cars took 15 years of usage and diagnostic data – combining those two huge data sources was a game changer for Volvo design, diagnostics and warranty parts of the business.

    “We have taken it step-by-step. We try to not just learn what has happened, but why it’s happened and also to predict what will happen. It’s like steps in analytics we would like to follow to be more precise and actually to deliver value to the corporation. In order to do that, we needed to bring in different types of data. We started with warranty data, but also customer data comes pretty soon and there are also other types of financial data, etc., that we were trying to introduce into the warehouse for us to be able to deliver more value.” – Jan Wassén, Director of Business Analytics

    Fast forward to today, Volvo Cars is launching a system where they can predict failure rates down to a component level in order to take predictive action in order to save the customer time and money.

    “On the engineering side, we could drill down to one component.  We’re saving already in just launching this. We had an issue with a fault code that was wrongly set. Cars came into the dealerships and got new software that they didn’t need to have and that one was several million dollars of savings.”-  Jan Wassén, Director of Business Analytics

    Screen Shot 2015-12-18 at 2.32.11 PMJust that one example helped loyalty for customers while still saving Volvo Cars service time for the dealers and as Jan said, ‘several million dollars of savings.’

    Volvo Cars is also learning what features to put in future vehicle design from their current customers (with permission of course) and teach those current customers about features in their cars.

    “We can learn from how the customers are driving their cars; at what speed it’s being driven, which types of behavior that the customers have  and learn it for developing future models. We can learn whether they’re utilizing the center screen for getting at their different entertainment functions or if they use the turn button of the steering wheel or the voice control. We can also utilize the particular data for this particular customer to tell them, ‘You actually have a function in your vehicle. It doesn’t seem like you’re utilizing this and it works like this,’ and we could provide them with a video showing that ‘This is something you should know.’” – Jan Wassén, Director of Business Analytics

    So many cool services and features powered by data and analytics!  Thank you to Volvo Cars for sharing and congratulations on your success!

     

    The post Volvo Cars: Fueling Innovation with Data, Analytics and the Internet of Things so that Every Volvo is “Designed Around You” appeared first on Insights and Outcomes.

    Teradata Blogs Feed

     
  • admin 9:51 am on November 20, 2014 Permalink
    Tags: Around, , , , , , , TeradataMapR   

    Teradata-MapR Partnership Brings More Simplicity and Choice Around Hadoop 

    Simplicity and choice are the dual signposts I mention whenever people ask how best to navigate today’s expanding universe of options in enterprise analytics.  Just as important, however, is to make sure these signposts point the same way so the two priorities remain complementary rather than in conflict.

    Scottblog-hadoop

    While businesses are realizing they can exercise choice in building their own customized, best-in-class big data ecosystems, the reality is that too many companies remain stuck in an “either-or” dilemma between choice and simplicity: With more choices comes the potential for more complexity in selecting and orchestrating all the different options. It doesn’t help that some technology providers stoke the complexity fear factor to keep customers from looking beyond a particular approach, or proprietary system.

    The good news is that it’s easy to spot the vendors that do deliver both choice and simplicity: That’s because they’re the ones that reach across aisles and embrace multiple partnerships and collaborative agreements with other providers across 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.  This is especially the case with open source Hadoop, where sophisticated data warehouse users with complex workloads realize it takes significant collaboration among multiple vendors and technologies to properly leverage Hadoop at the enterprise scale.

    On this point, I’d say Teradata’s credentials are already pretty impressive. Examples include our recent acquisitions of Hadapt and Revelytix for those companies’ respective expertise in SQL integration and metadata management for Hadoop. Other proof points include Teradata’s longstanding collaboration with Hortonworks, our recently-expanded partnership with Cloudera and our collaboration with NOSQL database and application development leader MongoDB.

    Now, I’m proud to say Teradata will provide even more Hadoop choice and simplicity for customers with the newly-expanded partnership we’ve just announced with MapR Technologies, the San Jose-based provider of the top-ranked Hadoop distribution. With clients spanning financial services, government, healthcare, manufacturing, media, retail, telecommunications and other sectors, MapR brings dependability, ease-of-use and world-record speed to Hadoop, NoSQL, database and streaming applications in one unified distribution for Hadoop.

    As you can learn in our news release, our newly enhanced collaboration will more fully incorporate MapR into Teradata’s powerful QueryGrid environment for an even more seamless data fabric that both optimizes and simplifies processing across different best of breed analytic solutions. The move also simplifies the customer experience when choosing architectures and standards by allowing Teradata to resell MapR and serve as the single point of contact for both Teradata and MapR.

    In addition, our agreement positions Teradata to sell MapR education and training services and provide customer support and consulting services to Teradata customers who use MapR. The end result will be reduced costs and complexities, along with accelerated time to production as Teradata becomes the single vendor accountable for support of the full ecosystem.

    Teradata and MapR are both committed to maximum flexibility around Hadoop as companies continue to evolve their enterprise architectures.  MapR offers support for major and emerging Apache Hadoop projects and is set apart from other Hadoop distribution systems by virtue of its Network File System (NFS) instead of the Hadoop Distributed File System (HDFS). As its user community knows, MapR’s No-NameNode architecture provides higher availability and balanced workloads as name-node tasks are spread across the data nodes.

    These are just some of the highlights of why I’m so excited about this expanded partnership. But, you don’t need to be a technologist to appreciate the value. In fact, business users at companies that have invested in both MapR and Teradata have been requesting this kind of integration for a while, and I’m proud to say that now is the right time to expand our partnership. I invite you to read more about this from John Schroeder, CEO and co-founder, MapR Technologies.

    Scott Gnau

    Teradata Blogs Feed

     
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