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Giving machines a collective
memory & intelligence
Shash.Hegde@mariner-usa.com

@DataCzar

© 2013
Power Management
• Different business model
• Maximize life of asset
• Fixed & Low TCO
Current State

The unexamined data is
not worth storing

Image source: http://innovative-results.com/wp-content/uploads/20...
Current State

IT
© 2013

Inspect everything manually
Vision

Give machines a
memory & intelligence
Automate the “information factory”

Platform thinking

Change strategy on a ...
SharePoint
Cloud

Decision Management
PowerShell

© 2013

8
Platform Thinking

Pipes vs. Platforms
Self Service Platforms
• Analytics – DW + Predictive Analytics + Tableau

• Cloud – Microsoft Azure
• Decision management ...
© 2013
Diversify – Add & Assimilate
XML

Documents

Video

Twitter
ERP
JSON

CRM

Log Files

Many data sets combined tell you mor...
Forward looking data
• Predictive Analytics

• Prescriptive Analytics
• Machine Learning
•+
• “Knowledge University”
Why Decision Management?
Minimize Decision Fatigue

Automate – high volume, repetitive decisions

© 2013
Delivering
decisions not
reports
Simplified Architecture
Knowledge
University
Customer site

ERP

Decision
Engine

Sensor

Management

Sensor
Sensor
Sensor...
Change strategy on a dime

Porter’s 5 forces
© 2013
Champion
Challenger
model
Scale
Mark Seaton Photography
Monetize
Platform as a Service (PaaS)
Automated
remote device
management

Customer 1

Customer 3

Customer 2
Challenges
• New to decision management

• Cultural & growth issues
• Data collection & integration (API’s vs ETL etc.)
• ...
Summary
• Automate

• Platform thinking (self service)
• Semi-autonomous organization
• Change strategy on a dime
• Scale ...
Mariner

www.mariner-usa.com

Shash.Hegde@mariner-usa.com

@DataCzar

© 2013
Decision CAMP 2013 - shash hegde - mariner - Is this Skynet? Giving machines a collective memory & intelligence
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Decision CAMP 2013 - shash hegde - mariner - Is this Skynet? Giving machines a collective memory & intelligence

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The term "internet of things", loosely defined as a world where physical objects are seamlessly integrated into the information network, and where the physical objects can become active participants in business processes has gained popularity in recent years.

The talk will describe the case study of a small but visionary power management company in the Carolinas, which is building the next generation of a smart enterprise. An enterprise modeled on an event driven architecture which can sense and respond to stimuli faster than the competition.

Achieving the vision has required our team to use a combination of data warehousing, decision management and analytics. Come learn
about the vision, the challenges and also the business drivers for making this ambitious project a reality.

Published in: Technology, Education
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Decision CAMP 2013 - shash hegde - mariner - Is this Skynet? Giving machines a collective memory & intelligence

  1. 1. Giving machines a collective memory & intelligence Shash.Hegde@mariner-usa.com @DataCzar © 2013
  2. 2. Power Management • Different business model • Maximize life of asset • Fixed & Low TCO
  3. 3. Current State The unexamined data is not worth storing Image source: http://innovative-results.com/wp-content/uploads/2011/05/emotional-eating.jpg
  4. 4. Current State IT
  5. 5. © 2013 Inspect everything manually
  6. 6. Vision Give machines a memory & intelligence Automate the “information factory” Platform thinking Change strategy on a dime – based on data Scale Semi-autonomous organization Monetize
  7. 7. SharePoint Cloud Decision Management PowerShell © 2013 8
  8. 8. Platform Thinking Pipes vs. Platforms
  9. 9. Self Service Platforms • Analytics – DW + Predictive Analytics + Tableau • Cloud – Microsoft Azure • Decision management – SMARTS by Sparkling Logic © 2013
  10. 10. © 2013
  11. 11. Diversify – Add & Assimilate XML Documents Video Twitter ERP JSON CRM Log Files Many data sets combined tell you more than they do separately. Sensor Data © 2013 Legacy E-mail Image Source: http://vi.sualize.us/view/wulfbane/3ca4c6312aa54562c24ef4739df1259c/ OLAP 12
  12. 12. Forward looking data • Predictive Analytics • Prescriptive Analytics • Machine Learning •+ • “Knowledge University”
  13. 13. Why Decision Management?
  14. 14. Minimize Decision Fatigue Automate – high volume, repetitive decisions © 2013
  15. 15. Delivering decisions not reports
  16. 16. Simplified Architecture Knowledge University Customer site ERP Decision Engine Sensor Management Sensor Sensor Sensor Data Collection Data Warehouse Reports Sensor Service Technician © 2013
  17. 17. Change strategy on a dime Porter’s 5 forces © 2013
  18. 18. Champion Challenger model
  19. 19. Scale Mark Seaton Photography
  20. 20. Monetize Platform as a Service (PaaS) Automated remote device management Customer 1 Customer 3 Customer 2
  21. 21. Challenges • New to decision management • Cultural & growth issues • Data collection & integration (API’s vs ETL etc.) • Security © 2013
  22. 22. Summary • Automate • Platform thinking (self service) • Semi-autonomous organization • Change strategy on a dime • Scale & monetize © 2013
  23. 23. Mariner www.mariner-usa.com Shash.Hegde@mariner-usa.com @DataCzar © 2013

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