deltaDNA Launches Deep Data Visualization

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November 12, 2015
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deltaDNA Launches Deep Data Visualization

SAN FRANCISCO and EDINBURGH, Scotland, November 12, 2015 /PRNewswire/ --

    New deep data graphing and charting functionality makes emerging game patterns more
informative and visually appealing    

    Big data game analytics and marketing company deltaDNA
[https://t.yesware.com/tl/7d92606b0508c4ebf0f4958d787c31e8bf173718/e078e3b161ea20e11cba434681191bb4/d987c71e78f3d2527cccd494006e9f63?ytl=http%3A%2F%2Fwww.deltadna.com%2F ]
, today
unveiled powerful new technology designed to empower data scientists and marketers to
better understand the patterns emerging from their game.

(Logo:
http://photos.prnewswire.com/prnh/20151111/286338LOGO )

(Photo:
http://photos.prnewswire.com/prnh/20151111/286337 )

The new platform functionality enhances deltaDNA's existing Direct Access, data mining and
slice&dice features, by exposing the entire game data-set to deep data graphing and
charting functionality, including pivot charting.

    This enables analysts and marketers to replace the guesswork with clarity, by
visualizing every aspect of the game data, including player competence, aggression,
strategic ability and social interaction. Users can also visualize and compare how player
performance changes by game level, device, territory and spending behavior.

    Mark Robinson, deltaDNA CEO explained: "Graphical representation of data has become
essential to revealing patterns of behaviour, but until now this has been mainly limited
to KPIs and aggregate data, unless you used a BI tool like Tableau via our Direct Access.
We have now added BI style built-in charting tools that can be used to visualize your
entire game data.

    "The deep data insight this information provides to analysts and marketers is
essential to maintaining a healthy game balance, while providing accuracy in ensuring that
all players have a great experience."

    Chris Wright, CTO, deltaDNA, added: "With successful game economics being such a fine
balancing act, developers need to use highly accurate tools that enable them to make
changes to the way the game is set-up, or to provide marketers with highly defined player
segments for accurate player engagements. Exposing all the data in the game provides the
capability for precision, that hasn't previously been available."

    DeltaDNA's deep data visualization toolset builds on their launch earlier in the year,
of Direct Access
[https://t.yesware.com/tl/7d92606b0508c4ebf0f4958d787c31e8bf173718/e078e3b161ea20e11cba434681191bb4/2aa4a64773e55438f22e733a990cbbe3?ytl=https%3A%2F%2Fdeltadna.com%2Ftechnology%2F ]
which enables statisticians to plug their favourite BI tools straight into deltaDNA's
high speed Vertica database; along with the recent launch of SmartAds dynamic mediation,
which brings ad monetization data into their platform for intelligent player targeting
using their predictive analytic tools.

    About deltaDNA
DeltaDNA improves player engagement and lifetime value in free-to-play games. Its platform
uses advanced data mining and predictive modelling to identify and segment different
player behaviors. Through this insight, players can be individually targeted in real-time.
Personalized experiences are created that increase retention and revenues.

    For more information visit http://www.deltaDNA.com [http://www.deltaDNA.com ] .

       
         
        For deltaDNA media enquiries, please contact:  
        EmptyBreak:MARKER 
        Stephen Green 
        GiantPR 
        +44 07775 677101 
        steve@giantpr.co.uk 

     

    Photo:
    http://photos.prnewswire.com/prnh/20151111/286338LOGO

    http://photos.prnewswire.com/prnh/20151111/286337

Photo:http://photos.prnewswire.com/prnh/20151111/286338LOGO
http://photoarchive.ap.org/
Photo:http://photos.prnewswire.com/prnh/20151111/286337
http://photoarchive.ap.org/
Photo:http://photos.prnewswire.com/prnh/20151111/286338LOGO
http://photoarchive.ap.org/
Photo:http://photos.prnewswire.com/prnh/20151111/286337
http://photoarchive.ap.org/
deltaDNA

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