Future-Proof Your Streaming Analytics Architecture- StreamAnalytix Webinar
View the webcast on http://bit.ly/1HFD8YR
The speakers from Forrester and Impetus talk about the options and optimal architecture to incorporate real-time insights into your apps that provisions benefitting from future innovation also.
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Future-Proof Your Streaming Analytics Architecture- StreamAnalytix Webinar
1. Webinar: Future-Proof Your Streaming Analytics Architecture
Mike Gualtieri, Principal Analyst
July 23, 2015
Twitter: @mgualtieri
Anand Venugopal, Product Head - StreamAnalytix
Twitter: @streamanalytix
7. For you For all For segments For you
CRM
Hyper-Personal, Real-Time
Digital Experiences
Personal
Relationships
Mass Production
CustomerExperience
1800 1900 1950 2000 2015
10. • Use analytics to learn customer
characteristics and behavior
• Detect real-time context
• Adapt applications to serve an
individual customer
Celebrity experiences must:
Be Blazing Fast
20. DEFINITION
FORRESTERStreaming analytics platforms can filter,
aggregate, enrich, and analyze a high
throughput of data from disparate live data
sources to identify patterns, detect urgent
situations, and automate immediate actions.
22. How can huge volume of
telematics data from 250+
onboard sensors be used to
improve safety?
Capture and analyze all
data to predict part
failures.
23. Fortune 10 technology company.
How can a mobile travel
app predict the users next
desire.
Use real-time location
analytics.
24. How can a farm equipment
company predict failures to
reduce maintenance cost
and increase uptime.
Capture and analyze IoT
data in real-time.
25. How can a flash-sale online
retailer predict what
customers will buy and how
much they will pay?
Continuously monitor
customer behavior to adapt
prices and catalog in real-
time.
26. How can a media company
show the most relevant ad.
Detect who is watching
the TV in the household
in real-time.
54. Q&A
(Use the chat/Q&A panel)
inquiry@streamanalytix.com
www.StreamAnalytix.com
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