Day-3, Mr. Satyajit Dwivedi analytics for decision making
-
Upload
ippai -
Category
Technology
-
view
340 -
download
1
description
Transcript of Day-3, Mr. Satyajit Dwivedi analytics for decision making
Data to Analytics to Insights in a Smart Grid
Satyajit DwivediDirector – Energy and Strategic Initiatives
Global Energy Business UnitSAS Institute Inc.
Copyright © 2012, SAS Institute Inc. All rights reserved.
Customer Behavior is evolving and
expanding through multiple touch
points
Copyright © 2012, SAS Institute Inc. All rights reserved.
Copyright © 2012, SAS Institute Inc. All rights reserved.
Digital Sensors, Meters, DCS, SCADA, HISTORIAN were the main source of real time data acquisition in this sector. Other enterprise wide transaction & automation systems generate other enterprise data.
Volume Variety Velocity will always grow !
There has never been dearth of data in Energy & Utilities Sector
Copyright © 2012, SAS Institute Inc. All rights reserved.
Copyright © 2012, SAS Institute Inc. All rights reserved.
Copyright © 2012, SAS Institute Inc. All rights reserved.
Copy r igh t © 2013 , S A S I ns t i t u t e I nc . A l l r i gh t s r es e rv ed .
Analytics can be used by utilities to improve understanding of:• Peal Load Management / Demand Response• Customer Segment Consumption Behavior• Fraud and Non-Technical Loss• Load Forecasting and Portfolio Optimization• Smart Meter Deployment Optimization• Predictive Asset / Alarm Analytics
IMMENSE
Copy r igh t © 2013 , S A S I ns t i t u t e I nc . A l l r i gh t s r es e rv ed .
THE DIFFERENCE BETWEEN RAPID INSIGHT AND FAST INFORMATION
DATA VISUALIZATION = EXPLORATION
ANALYTIC VISUALIZATION = INSIGHTS
“The Greatest Value Of A Picture
Is When It Forces Us To Notice
What We Never Expected To See.”John W. Tukey, Exploratory Data Analysis 1977
Copyright © 2012, SAS Institute Inc. All rights reserved.
Analytics Platformfor
Smart Grid
Copyright © 2012, SAS Institute Inc. All rights reserved.
Critical to estimate accurately
Design optimalpricing
Critical to estimate accurately
PEAK LOAD MANAGEMENT / DEMAND RESPONSE MANAGEMENT
Analytics for Hourly Peak – Daily Peak – Monthly Peak – Yearly Peak
Visualization of Analytics
Copyright © 2012, SAS Institute Inc. All rights reserved.
THEFT MANAGEMENT & TAMPER DETECTION
Analytics for Visualisation – Anomaly Pattern Detection – Alert – Corrective &
Prevent ActionVisualization of Analytics
Copyright © 2012, SAS Institute Inc. All rights reserved.
Source: Davenport, Thomas and Harris, Jeanne. “Competing on Analytics: The New Science of Winning”
ANALYTICALLYIMPAIRED
LOCALIZEDANALYTICS
ANALYTICALASPIRATIONS
ANALYTICALCOMPANY
ANALYTICALCOMPETITOR
STAGE 1
STAGE 2STAGE 3
STAGE 4STAGE 5
Limited interest in
analyticsby senior
management
Line-of-business
managementare driving
analytics momentum
Senior executives are committed to
analytics
Resourcesare aligned to
create a broad analytics
capability
Enterprise-wide analytics
capabilityis under
developmentas a corporate
priority
Organizationis routinely reaping the benefits of enterprise-
wide analytics
Focus on continuous
improvement
5 Stages of “Analytics” Maturity
WE ARE
HERE
SmartGrid
Pilots
Copyright © 2012, SAS Institute Inc. All rights reserved.
14 Smart Grid Pilots
For the Paradigm Shift
Orchestrate the Information Management for Fact Based Decision
With “Analytics”
Thank You
SAS ranked the #1 Smart Grid Analytics and #1 Data Management vendor in the World
by Green Tech Media