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