This document discusses how utilities can transform big data into smart data to realize business value. It defines big data and provides examples of large amounts of data being generated. The document outlines how utilities can leverage big data and analytics to improve grid operations, asset and workforce management, and smart metering. This enables benefits like increased customer intimacy, more relevant insights, and competitive advantages. It provides examples of business issues utilities may want to address and presents an approach to answering business questions by selecting and building intelligent solutions.
SMi Group is bringing to London this December, a new masterclass training course entitled Big Data for Utilities - combining and creating value from transactional, geospatial and real-time domain information. Don't miss this must attend course in association with Alliander and SAP UK & Ireland
What are big data in the contacts of energy & utilities, and how/where can the utilities find value in the data. In this C-level presentation we discussed the three prime areas: grid operations, smart metering and asset & workforce management. A section on cognitive computing for utilities have been omitted from the presentation due to confidentiality - but I tell you - it is mind-blowing perspectives on how IBM Watson will help utilities plan and optimize their operations in the near future!
See more on http://www.ibmbigdatahub.com/industry/energy-utilities
From grid infrastructure analytics to consumer analytics, the true power of data is starting to be realized. Greentech Media Co-Founder and President, Rick Thompson, sets the stage for the days presentations and panels.
This pivotal moment of transformation in the utility industry is providing large scale and unprecedented opportunity for traditional power providers and those operating at the edge of the grid. In this capability primer, we highlight some of the broader industry technology trends and the resulting tools, approaches and insights that Indigo Advisory Group employs to help utilities navigate uncertainty and create the right strategies.
SMi Group is bringing to London this December, a new masterclass training course entitled Big Data for Utilities - combining and creating value from transactional, geospatial and real-time domain information. Don't miss this must attend course in association with Alliander and SAP UK & Ireland
What are big data in the contacts of energy & utilities, and how/where can the utilities find value in the data. In this C-level presentation we discussed the three prime areas: grid operations, smart metering and asset & workforce management. A section on cognitive computing for utilities have been omitted from the presentation due to confidentiality - but I tell you - it is mind-blowing perspectives on how IBM Watson will help utilities plan and optimize their operations in the near future!
See more on http://www.ibmbigdatahub.com/industry/energy-utilities
From grid infrastructure analytics to consumer analytics, the true power of data is starting to be realized. Greentech Media Co-Founder and President, Rick Thompson, sets the stage for the days presentations and panels.
This pivotal moment of transformation in the utility industry is providing large scale and unprecedented opportunity for traditional power providers and those operating at the edge of the grid. In this capability primer, we highlight some of the broader industry technology trends and the resulting tools, approaches and insights that Indigo Advisory Group employs to help utilities navigate uncertainty and create the right strategies.
Digital Supply Chain: the start of a new eraBluecrux
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Explosive growth of Smart Meter (SM) deployments has presented key infrastructure challenges across the utility industry. The huge volumes of smart meter data has led the industry to a tipping point which requires investments in modernizing existing data warehouses. Typical modernization efforts lead to huge capital expenditures for DW appliances and storage. Sizing this new infrastructure is tricky and can lead to underutilized or poorly performing hardware.
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Discover EVERYTHING you need to know to streamline business by reading this article http://bit.ly/2CfgFsp
In this piece, we explore how AI has the potential to deliver the active management that will be required for the grid of the future. Powerful intelligence will be able to balance grids, manage demand, negotiate actions, enable self-healing and facilitate a host of new products and services.
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This report helps the user to understand trends in big data, cloud and medical devices, the key players in the ecosystem , the top users of this technology
Digital Supply Chain: the start of a new eraBluecrux
95% of Supply Chain leaders struggle with how to drive improvement in their Supply Chain and only 5% are making progress.
In this presentation, you'll get a market overview of emerging technologies and approaches you can apply to drive value. Are you ready to become part of that 5%?
Presented by Lora Cecere, Founder Supply Chain Insights on Supply Chain 4.0 : ready to operate in the digital era? (29 Nov, 2018)
Supercharging Smart Meter BIG DATA Analytics with Microsoft Azure Cloud- SRP ...Mike Rossi
Explosive growth of Smart Meter (SM) deployments has presented key infrastructure challenges across the utility industry. The huge volumes of smart meter data has led the industry to a tipping point which requires investments in modernizing existing data warehouses. Typical modernization efforts lead to huge capital expenditures for DW appliances and storage. Sizing this new infrastructure is tricky and can lead to underutilized or poorly performing hardware.
The Cloud is the catalyst to solving these Big Data challenges.
Utilizing a Cloud architecture delivers huge benefits by:
Maximizing use of existing architecture
Minimizing new CapEx expenditures
Lowering overall storage costs
Enabling scale on demand
A “Smart” Approach to Big Data in the Energy IndustrySAP Analytics
http://spr.ly/AA_Utilities - Most companies in the oil and gas (O&G), utilities and chemical process industries benefit significantly from global markets; however, they also face pressures that demand instant response to fast-paced international events. Energy companies are using real-time data and analytics to solve key challenges in hotly competitive global markets.
-Bloomberg Businessweek Research
Digital Supply Chain Platforms – Extending Information, Intelligence and Busi...Jim Butera
As business owners, we're ALWAYS looking for new ways to streamline our biz & generate MORE profits.
But, with new technology services popping up all over the place, it can be hard to stay on top of the ball. That's why we broke down Digital Supply Chain Platforms to show you how to utilize these (relatively) new tools for increased cycle time, service, cost, and working capital performance.
Discover EVERYTHING you need to know to streamline business by reading this article http://bit.ly/2CfgFsp
In this piece, we explore how AI has the potential to deliver the active management that will be required for the grid of the future. Powerful intelligence will be able to balance grids, manage demand, negotiate actions, enable self-healing and facilitate a host of new products and services.
Managing the Energy Information Grid - Digital Strategies for UtilitiesIndigo Advisory Group
In this piece we highlight the digital imperative for the industry and how utilities can optimize their digital strategies, build business cases and incorporate emerging technologies.
Taking full advantage of data-driven efficiency makes your operations more precise, predictable and efficient.
Take control of your resources and inventory. Let big data work for you.
Strategies to Monetize Energy Data - How Utilities Can Increase Their 'Earnin...Indigo Advisory Group
In this piece we highlight the utility data monetization imperative and how utilities can build the right strategies to take advantage of this opportunity
Artificial intelligence in Energy and Utilities – Market OverviewIndigo Advisory Group
Artificial Intelligence has been around for decades, however, over the past 2-3 years the technology has been finding applications across a series of sectors, including energy and utilities. This presentation includes some of the highlights given on an Engerati Webinar on September 27th including three major application areas.
This report helps the user to understand trends in big data, cloud and medical devices, the key players in the ecosystem , the top users of this technology
Deep.bi - Real-time, Deep Data Analytics Platform For EcommerceDeep.BI
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Watch the archive: https://bloorgroup.webex.com/bloorgroup/lsr.php?AT=pb&SP=EC&rID=7501927&rKey=664935ceb7de1aec
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Register for this episode of The Briefing Room to hear veteran Analyst Dr. Robin Bloor as he explains the pain points associated with modern data volumes and types. He will be briefed by Rick Clements of IBM, who will tout IBM's big data platform, specifically InfoSphere BigInsights, InfoSphere Streams and InfoSphere Data Explorer. He will also present specific use cases that demonstrate how IT and the line of business can springboard over existing challenges, gain insight and improve operational performance.
Visit InsideAnalysis.com for more information
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1. Big Data.
Smart Data.Transform Big Data into Smart Data
for realizing business value in the energy and
utilities sector
Sogeti Energy & Utilities
2. |
Introduction
Big Data for Energy & Utilities 2
Marc Govers
Management Consultant
marc.govers@sogeti.nl
Sogeti Energy & Utilities
energy-utilities@sogeti.nl
3. |
Introduction
Big Data for Energy & Utilities 3
Sogeti helps organizations to design, realise, implement, test and maintain
valuable ICT solutions
ICT service provider since ’70
Global reach - Local touch
Global >20.000 employees
Netherlands > 2.700 employees
4. |
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 IMPROVE
Grid performance
Customer service
Realize Business Value
Utilities should be looking
beyond smart meter data
Big Data for Energy & Utilities 4
95%
5. |
What is Big Data?
5Big Data for Energy & Utilities
76 million
smart 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+ TBs
of log data
every day
Many PBs
of data
every day
80%
of world’s
data is
unstructured
The 3Vs: Volume, Variety & Velocity
6. |
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 Grid
Vast 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 customer
Through 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 things
Equipment 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 trains
Now provide continuous telemetry data – allows
performance to be optimized, risks are identified early
and support is more effective
Extended Supply Chain
RFID allows a whole new level of supply chain
monitoring and optimization
Risk Mitigation
Understanding systems and processes better and
customer sentiment early can radically reduce risk
Business Performance
Understanding 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
7. |
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
8. |
Business value - Customer intimacy
Big Data for Energy & Utilities 8
Less churn and more customer loyalty
Individual advice towards clients
Better customer focus
9. |
Business value - Relevant insights
Big Data for Energy & Utilities 9
Improved BI
Trends analysis
Improved decision making
New products and services
10. |
Business value - Competitive edge
Big Data for Energy & Utilities 10
Enlarge your marketshare
Celebrate results
11. |
UTILITY INDUSTRY (GENERATION, TRANSMISSION, DISTRIBUTION, SALES)
Key Business
Processes
Smart Grid
T&D System
Planning
Outage
Management
Asset
Management
Efficiency
Improvement
Reliability
Improvement
Customer
Management
Demand
Management
Participation
Most Beneficial
Rate Analysis
Energy Efficiency
Program
Subscription
Renewable Energy
Subscription
Customer
Communication
Revenue
and Cost
Management
Revenue
Protection
Meter to Cash
Revenue
Enhancement
Revenue
Assurance
Credit Risk
Reduction
Receivables
Management
Operations
Management
Condition Based
Maintenance
Wholesale Market
Analysis
Fuels
Management
Environmental
and Safety
Management
Supply Chain
Management
Finance &
Performance
Management
Rate Plan Design
Profitability
Analysis
Rate Case Analysis
and Support
Budgeting and
Reporting
Real Time
Pricing
Data
Management
Data Mart
Consolidation
Enterprise Data
Warehouse
Roadmap
Master Data
Management
Utility Logical
Data Model
Data Quality
Improvement
Data Information Insight Intelligence
Areas for data and analytics
11Big Data for Energy & Utilities
12. |
AMI System - Data Exchanges
Big Data for Energy & Utilities 12
Meter Data
Management
System
Meter
Inventory
System
Demand
Response
System
CIS
Outage
Management
System
Data
Warehouses
Online
Presentment
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
13. |
AMI quantitative cost benefit analysis
13Big Data for Energy & Utilities
Process/Function
Benchmark Cost Savings/Cost
Avoidance
Benefits Apply To
Billing and Customer Service
Automation of On/Offs
High bill complaint investigations
2-7 % Field customer service costs
Metering
Field Meter Reading
2-4 % Field meter reading costs
Collections
Non-payment and theft prevention
15-25 % Non-collectible expense
Settlement
Retail and wholesale reconciliation
2-4 % Loss/unaccounted retail revenue
Demand Management
Peak demand reduction/shift
2-22 % Marginal peak capacity costs
System Control
System Automation
Power quality management
4-11 %
System line loss and associated energy
costs
Outage Restoration
Trouble response and restoration
3-8 % Trouble field labor
14. |
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 insights
Predictive
modelling
Action
Contributing to
business outcomes
Data Governance
Managing
integration of
data sources
Data
Integration
Business,
Functional
and Technical
Architecture
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
implementation
to benefits: Key
considerations
Approach to Big
Data and
Leveraging it for
business
improvement
15. |
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
16. |
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*
17. |
And in summary…
17Big Data for Energy & Utilities
BIG DATA + ANALYTICS =
Enhanced customer
experience
Reliable Network
Safety & Security
Agile business
Satisfied employee
Business
Initiatives
The right
approach
Business
Strategy
Technology
Customer
participation
Capability
2.700 IT vakspecialisten
6 lokaties in NL
Al > 40 jaar
Brede dienstverlening
Kernactiviteiten: AS, IS/HT, SC, BUS (P&C, Mobile, Security, SAP, BI, BTS)
Strategische keuzes voor Microsoft, IBM, Java, Oracle
Partnerships (Microsoft, IBM, HP, Oracle, Ometa)
Lokaal bedrijf met internationaal (kennis)netwerk
2.700 IT vakspecialisten
6 lokaties in NL
Al > 40 jaar
Brede dienstverlening
Kernactiviteiten: AS, IS/HT, SC, BUS (P&C, Mobile, Security, SAP, BI, BTS)
Strategische keuzes voor Microsoft, IBM, Java, Oracle
Partnerships (Microsoft, IBM, HP, Oracle, Ometa)
Lokaal bedrijf met internationaal (kennis)netwerk
Some of the typical areas where data and analytics can become useful
Check the spare slides where you can find questions you can ask
Driver: Business Improvement
Enabler: Empowered data governance
Earlier, data was something you cleaned/transformed/migrated, important but secondary to a transaction based system
Kwantificeren business drivers
Definieren business requirements
Valideren ROI en bepalen next steps
Ontwikkeling oplossing, aanpak en begroting
The need, the strategy, participative model TO DECIDE how you go the next step….
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