Disrupting the Traditional Analytics Ecosystem

August 7, 2013
By

(This article was first published on Revolutions, and kindly contributed to R-bloggers)

This guest post is by Punit Kulkarni. Punit is the Director of Marketing at Symphony Analytics and a marketing technology enthusiast. He has helped Fortune 500 retailers and brands in building their customer loyalty programs, direct marketing and business analytics.

As a trusted
co-marketing partner of Revolution Analytics
, Symphony Analytics is committed
to developing predictive analytics solutions built upon the Revolution R Enterprise
platform. 

The open source platform enables us to scale our offerings and drive
significant increases in ROI for our fast-growing client base in a variety of
markets, such as retail, healthcare, and others. Delivering operationalized solutions that
enable real-time, predictive analytics, will enable them to better analyze data
and unlock unprecedented business value.

But when
we talk about “operationalizing analytics”, it means much more than generating
insights from data. The true potential of analytics is in the integration of
these insights into key business processes.

For example, at Symphony Analytics we
have already developed solutions that operationalize analytics.  In healthcare, our solution allows hospitals
to analyze and predict the likelihood of a patient being readmitted after
treatment.  In retail, our R-based
solutions are enabling shopper driven innovation that allows marketers and
advertisers to conduct dynamic mobile marketing campaigns using NFC
tags activated by consumers’ own mobile phones, so that consumer brands and retailers can directly engage
with them and drive a new level of brand loyalty and trust. 

As of
earlier this year, there were close to 4,500 user-contributed packages that
aimed at enhancing statistical and data mining techniques. While many companies
tout the benefits of their solutions, Revolution R Enterprise enables us to develop
such innovative solutions at a mere fraction of the costs of what non
open-source solutions would allow.

Using Revolution R Enterprise, along with big data platforms in the ecosystem, like Hadoop and
Teradata, we have been able to disrupt the traditional analytics eco system and
operationalize predictive analytics for omni-channel retailing, digital
engagement, healthcare and other markets. 
Working together with Revolution Analytics, the possibilities are
endless.

To leave a comment for the author, please follow the link and comment on his blog: Revolutions.

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