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Speaker's Corner presentation at ProcessForum Nordic 2013.
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©2013 Software AG. All rights reserved. For internal use only |
Dr. Mark Darbyshire, CTO EMEA
Intelligent Business Operations
Event Processing and Process
Modeling From ARIS to APAMA
©2013 Software AG. All rights reserved. For internal use only |
Multi-payments Data
Interoperability
Optimize
Operations
Manage Risk
Continuous
Visibility
Capitalize on
Real-time
Revenue
Intelligent Business Operations
©2013 Software AG. All rights reserved. For internal use only |
There’s quite a lot of operational monitors
• ARIS Process Performance Manager
• webMethods Business Activity Monitor
• webMethods Insight
with an understandable focus on process…
©2013 Software AG. All rights reserved. For internal use only |
Multi-payments Data
Interoperability
Manage Risk
Continuous
Visibility
Capitalize on
Real-time
Revenue
But none of them use the data to understand…
©2013 Software AG. All rights reserved. For internal use only |
Operational systems have the data to help understand
•how customers buy
•observe trending behaviour away from one product and towards another
•track what led up to the purchase
•whether their experience was good or bad
©2013 Software AG. All rights reserved. For internal use only |
Operational systems have the data to help
•detect where opportunities may lie (e.g. an emergent demographic)
•realise what sorts of opportunities these are (e.g. regional, temporal)
•how to communicate with the opportunity
©2013 Software AG. All rights reserved. For internal use only |
Operational systems have the data to help understand
•understand what the threat is
•garner contextual and related data
•analyse the threat as it occurs
©2013 Software AG. All rights reserved. For internal use only |
Event Processing is an ideal consumer of these data sets
•to correlate across data sources for enrichment and filtering
•to aggregate into consistent views
•to enable real-time analysis - and decisioning
©2013 Software AG. All rights reserved. For internal use only |
But operational data, like most large data sets,
has some issues:
Comprehension
Complexity
Volume
Speed Low Latency Universal
Messaging
In Memory Data &
Analytics
Real-time Analytics &
Intelligent Action
Real-time Visual
Analytics