Big Data.Smart Data.Transform Big Data into Smart Datafor realizing business value in the energy and utilities sectorSogeti Energy & Utilities

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Introduction

Big Data for Energy & Utilities 2

Marc Govers

Management Consultantmarc.govers@sogeti.nl

Sogeti Energy & Utilitiesenergy-utilities@sogeti.nl

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Introduction

Big Data for Energy & Utilities 3

Sogeti helps organizations to design, realise, implement, test and maintainvaluable ICT solutions

ICT service provider since ’70 Global reach - Local touch Global >20.000 employees Netherlands > 2.700 employees

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Big Data + Small Data = Smart Data

of utilities gather valuable data from sources other than smart meters.

Significant potential is available to harness data to IMPROVEGrid performance Customer service

Realize Business ValueUtilities should be looking beyond smart meter data

Big Data for Energy & Utilities 4

95%

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What is Big Data?

5Big Data for Energy & Utilities

76 millionsmart

meters in 2009…200m by

2014

2+ billion people on

the Web by end 2011

100s of millions of

GPS enabled

devices sold annually

4.6 billion camera phones

world wide

30 billion RFID tags

today (1.3B in 2005)

12+ TBs of tweet

data every day

25+ TBsof log data every day

Many PBsof data

every day

80%

of world’s data is

unstructuredThe 3Vs: Volume, Variety & Velocity

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Why is it important?

6Big Data for Energy & Utilities

A company whose offers are 10% more effective, which is able to provide the right service at the right time 10% better and its supply network 10% cheaper, is the company that will be around tomorrow.

Smart Meters and GridVast volumes of data will be generated. Getting insights to optimize the grid, provide customer energy advice and offers will need Big Data processing

Understanding the customerThrough social media, how they navigate on web pages, telecoms usage… gives a step change in understanding and tailoring offers for/retention of the customer

Internet of thingsEquipment everywhere is getting real-time remote monitoring. (>4bn connected IPs). Analyzing this data give opportunities for preventative maintenance and proactive system response

Planes, boats and trainsNow provide continuous telemetry data – allows performance to be optimized, risks are identified early and support is more effective

Extended Supply ChainRFID allows a whole new level of supply chain monitoring and optimization

Risk MitigationUnderstanding systems and processes better and customer sentiment early can radically reduce risk

Business PerformanceUnderstanding market perception of your company and

products from call center voice and social media sources, detailed analysis of operations from machine sensor data and competitor analysis from market data

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Big Data Business Challenge

7Big Data for Energy & Utilities

Grid Operations

Big Data & analytics drives real value from grid operations

MV & LV Grid Planning

System Control Asset Management Voltage Regulation &

Protection Customer Operations Field Services Regulatory Reporting

Asset & Work Force Management

Asset & workforce Management drives real business value of utilities

Operate the Assets Maintain the Assets Schedule Use of the

Assets

Smart Metering

Big Data & analytics drives real value from smart meter data

MV & LV Grid Planning

Grid Operations Field Service Resource Planning Customer Service/

Customer Operations Regulatory

Compliance

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Business value - Customer intimacy

Big Data for Energy & Utilities 8

Less churn and more customer loyalty Individual advice towards clients Better customer focus

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Business value - Relevant insights

Big Data for Energy & Utilities 9

Improved BI Trends analysis Improved decision making New products and services

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Business value - Competitive edge

Big Data for Energy & Utilities 10

Enlarge your marketshare Celebrate results

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UTILITY INDUSTRY (GENERATION, TRANSMISSION, DISTRIBUTION, SALES)Key Business Processes

Smart Grid T&D System Planning

Outage Management

AssetManagement

Efficiency Improvement

ReliabilityImprovement

CustomerManagement

Demand Management Participation

Most Beneficial Rate Analysis

Energy Efficiency Program

Subscription Renewable Energy

SubscriptionCustomer

Communication

Revenueand CostManagement

Revenue Protection

Meter to Cash Revenue

EnhancementRevenue

AssuranceCredit Risk Reduction

Receivables Management

OperationsManagement

Condition Based Maintenance

Wholesale Market Analysis

FuelsManagement

Environmentaland Safety

ManagementSupply Chain Management

Finance & PerformanceManagement

Rate Plan Design ProfitabilityAnalysis

Rate Case Analysis and Support

Budgeting and Reporting

Real TimePricing

DataManagement

Data Mart Consolidation

Enterprise Data Warehouse Roadmap

Master Data Management

Utility LogicalData Model

Data Quality Improvement

Data Information Insight Intelligence

Areas for data and analytics

11Big Data for Energy & Utilities

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AMI System - Data Exchanges

Big Data for Energy & Utilities 12

Meter Data Managemen

t System

Meter Inventor

y System

Demand Respons

e System

CIS Outage

Management System

DataWarehouses

OnlinePresentment

Billing related demand response Meter-related events needing service

orders Meter reads and billing determinants

Requests for meter reads Premise and account

updates

New meters in inventory Meter configuration changes

Outage alerts

Meter status requests

Near real-time usage, by customer

Event initiation notifications

Reads, events, etc., etc.

Customer energy history

On-demand meter status and reads

Meter reads Meter events and alerts On-demand meter status Meter

Head-End

System

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AMI quantitative cost benefit analysis

13Big Data for Energy & Utilities

Process/Function Benchmark Cost Savings/Cost Avoidance Benefits Apply To

Billing and Customer ServiceAutomation of On/OffsHigh bill complaint investigations

2-7 % Field customer service costs

MeteringField Meter Reading 2-4 % Field meter reading costs

CollectionsNon-payment and theft prevention 15-25 % Non-collectible expense

SettlementRetail and wholesale reconciliation 2-4 % Loss/unaccounted retail revenue

Demand ManagementPeak demand reduction/shift 2-22 % Marginal peak capacity costs

System ControlSystem AutomationPower quality management

4-11 % System line loss and associated energy costs

Outage RestorationTrouble response and restoration 3-8 % Trouble field labor

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Approach & Method

We have developed an approach to Big Data, associated methods and delivery capabilities.

14Big Data for Energy & Utilities

Journey to Business Improvement

Acquisition

Data Collection

Marshalling

Data organization

Analysis

Finding insightsPredictive modelling

Action

Contributing to business outcomes

Data Governance

Managing integration of data sources

Data Integratio

n

Business, Functional

and TechnicalArchitectur

e

Dealing with new customer data sources

Privacy & Security

M2M, ERP injection,

dialog with suppliers...

Action

Models that deliver

business value

Analytics Value

Be sure the first project

step will be a success !

First use

Master data, governance & data quality

Data Integrity

Structured, non

structured modelling...

Data Storing

Data Governance

Design to implementationto benefits: Key considerations

Approach to BigData andLeveraging it for businessimprovement

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How to answer your business questions?

15Big Data for Energy & Utilities

Business issue

Start roadmap Selection Delivery Operation Changes/

Fixes*Business impact

Project Maintenance

Intelligent Solution Build

►Business drivers►Business requirements►ROI and next steps►Solution, approach, budget

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Business issue

16Big Data for Energy & Utilities

Asset Management Which assets are under performing?

Outage Management & Distribution Optimization How long were my customers out of power? When

were my customers restored?

Demand Response How do I evaluate demand response and energy

efficiency strategies for my company?

Customer Analytics As a customer, can I track how my usage profile

compares to people in my region with a similar profile?

Revenue Management/Meter to Cash Who will be my most undependable customers for

payment?

Theft/Fraud Analytics How do I detect fraud/theft of power based on usage/

consumption analysis and identify lost revenue?

Head End Analytics How do I diagnose and analyze potential Faults and

Tampers and do the trend analysis for Head end Systems based on alerts from MDMS Data?

Project Beheer

Intelligent Solution Build

Business issue*

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And in summary…

17Big Data for Energy & Utilities

BIG DATA + ANALYTICS = Enhanced customer experienceReliable NetworkSafety & SecurityAgile businessSatisfied employee

BusinessInitiatives

The rightapproach

BusinessStrategy

Technology

Customerparticipation

Capability

Big Data.Smart Data.More info:energy-utilities@sogeti.nl