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  • admin 10:34 am on May 1, 2015 Permalink
    Tags: , , , , , NextGeneration, , , ,   

    Webinar: Transform Business Challenges into Revenue Opportunities with Next-Generation Big Data Applications 

    Attend this session to hear from Dan Vesset, Program Vice President of IDC’s Business Analytics research and Randy Lea, VP of Teradata’s Big Data Practice as they discuss new solutions and approaches to quickly deliver business value from big data.
    Teradata Events

     
  • admin 9:51 am on February 12, 2015 Permalink
    Tags: , , , NextGeneration,   

    Teradata Launches Next-Generation Big Data Apps 

    Big data apps, powered by the Teradata Aster AppCenter simplify, accelerate, and extend the use of big data analytics to support a broader range of decision makers
    Teradata News Releases

     
  • admin 9:51 am on October 28, 2014 Permalink
    Tags: , , Fingertips, NextGeneration,   

    Putting Next-Generation Analytics at Our Customer’s Fingertips 

    Back in January, I wrote a New Year’s roundup on several important crossroads in big data analytics for our industry. Among other things, I discussed the need for new techniques and tools to help more people make more sense of a digital universe whose size and complexity are expanding exponentially. I wrote how we need more capabilities to uncover connections and insights amid all this data from diverse sources.

    It is no longer enough just to consider the content of a specific analytic entity, whether that’s a customer or a network; we also have to understand the context of connections to unlock the insight and value that comes from charting relationships between the people, products and processes that influence outcomes. Just as important, we need to provide ways to democratize these insights beyond the data scientist for easy, intuitive access by the average business user. Now, I’m proud to say Teradata has brought to market a new class of analytics to fulfill these mandates.

    sganu-internetofthings

    Last week at Partners 2014, we announced the release of Connection Analytics, a set of advanced, contextual analytics delivered economically and at massive scale on large multi-structured data sets. Built on Teradata Aster’s formidable MapReduce and Graph engines, Connection Analytics leverages over 100 pre-built algorithms to help anyone – from the data scientist to the business user – untangle complex relationships and tease out patterns that point the way to new business insight and value.  We’re making it available immediately as a component of the Teradata Aster Discovery Platform within Teradata’s Unified Data Architecture.

    As you can learn from our news release, Connection Analytics does all this in an accessible environment that seamlessly fits with existing SQL-based visualization and business intelligence applications. This combination of ease-of-use and advanced contextual analytics represents an industry first and brings more business users to the table for the multiple perspectives you need in order to figure out relationships, whether the job is predicting fraud or customer churn, mounting sophisticated viral marketing campaigns, improving public health and safety or optimizing recommendation engines.

    Thus far, contextual analytics has been difficult and expensive, requiring specialized systems, unique, hard-to-find skillsets and a patchwork of algorithms to discover these intertwined relationships. Now, Connection Analytics helps demystify this latest frontier in big data analytics by letting data scientists and business users alike use familiar and easy-to-use tools to augment existing content-based decision models – which consider individual characteristics of a person, product, or process – with powerful context-based decision models that analyze relationships between these entities.

    All this may seem academic until you start to look at the value-driven use cases just waiting to be unlocked. Think about customer churn, for example. Connection Analytics lets you combine traditional statistics, machine learning and sentiment analysis with influencer analysis to examine customer satisfaction and pinpoint the customers who hold the most influence within a network of people. This helps you cut down on churn and also minimize the ripple effect when it does happen.  The ability to track influencers who have the most direct and indirect impact on product purchases can also help inform proactive viral marketing campaigns.

    Further, Connection Analytics allows companies to detect, in near real-time, the cyber-threats hidden in the flood of diverse data generated from IP, network, server and communication logs. And the ability to track relationships between people, products, processes and other “entities” remains crucial to breaking up sophisticated fraud rings.  If you only use a content-based decision model, you can get stuck the minute a fraudster creates a new identity, or changes their behavior.  But, Connection Analytics allows you to augment the traditionally myopic view of analytics with context-based decisioning to find algorithmic patterns that expose suspicious activity and identify fraud syndicates.

    Today, everything in our digital universe is connected; and businesses and public sector agencies alike need the ability to model and analyze those connections to understand the relationships between seemingly disparate data sets. This type of analytic power has never before been available to broad user communities at enterprise scale.  That’s why I consider Connection Analytics to be a game changer as a purpose-built, accessible, high-performance staging ground for contextual decision-making. In the process, it’s helping drive our industry – and our customers – forward through the crossroads toward the next breakthroughs in big data analytics.

    Additional resources: Video explains how we’re all part of huge complex networks

    Scott Gnau

    Teradata Blogs Feed

     
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