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1
Introduction to Centrica
 Supplies energy to around 28 million
customer accounts
 Deliver innovative products to
customers globally for connected
homes
 Distributed Energy & Power is
developing integrated energy solutions
for commercial and industrial
customers
 Energy Marketing & Trading operates
in LNG trading optimisation and risk
management
 Exploration & Production delivering
energy supplies
Creating a new operational
model for data management
Mark Miller
Chief Product Officer
Data management
and data science
Data Lake & HDP drove data science and innovation
• Did not solve just a cost and
resource issue of exploding data
from IoT and digital
transformation
• Created innovative and
attitudinal change towards data
• Created a new operational model
by delivering Io-Tahoe to provide
smart data discovery
• Created data science capability
to extract maximum value from
the data
0
1
2
3
4
5
Data Driven Digital
Data Analysis &
Insight
Data Engineering
Data QualityData Governance
Data Culture
Data Science &
Innovation
Scorecard for data competency
ORG 1 ORG 2 ORG 3 ORG 4
Data science provides knowledge from data
• Data science augments traditional statistical analysis
with techniques like machine learning, natural language
processing and data visualisation
• Explores IT and technology related hypotheses. For
example, predicting device failures, understanding why
smart meters stop working and big data problems
• Use data and data science techniques to develop
innovative products such as Io-Tahoe
• Collaborate on business driven projects and act as a hub
for knowledge, best practise, and research
Data
Science
UK Home
UK
Business
EMT
BGI
Bord Gais
Direct
Energy
Smart
Centrica
Group
Connected
Homes
DE&P
• Year In Industry
• Apprentice
• Domain Expertise
• PhD Machine Learning
• MSc Data Science
• Experienced Developers
• Graduate Scheme
TheTeam
6
Io-Tahoe LLC
Io-Tahoe was created in 2013 by Centrica for
smart data discovery for internal data lake projects
Acquired assets of RokittAstra in May 2017
RokittAstra provides smart data discovery for
structured databases
Founded in August 2014
Io-Tahoe LLC is a wholly owned subsidiary of Centrica plc
Io-Tahoe creates a new unique operating model for data
management. It allows both business and IT to build, innovate and
deliver on their information objectives in an agile and governed way
Creating a new
operational model for
data management
What is Io-Tahoe solving?
Data
Lake
Huge opportunity
Data Discovery
Time Consuming
Monetization
Business Growth
Regulatory
Compliance
Data Profit
Rapidly
Growing
Ever
Changing
Manual,
SME
Incomplete, Inefficient,
Tedious, Unreliable
Io-Tahoe empowers data management
Manual
Discovery
Unknown, broken
relationships
Relationships
Auto-Discovered
WE ARE WE ARE NOT
ALTERNATIVE
POWERS
POWERS
What is Io-Tahoe?
Building the Data Lake
Create high definition
view of the Data Lake
Empowering the
business with data
Deliverables to enable
business
Adaptive Ingest Smart Discovery Self-Service
Data Knowledge, Queries,
Data Flow
Config not development Reduce time Team Sport Export
Complexity Find new relationships Search your business Data Science SDK
ConciergeGOVERNANCE
Concierge
INGEST
DATA
DISCOVERY
METADATA
MANGEMENT
ORGANISE
Data Tap Customer Fingerprinting Concierge
11
Business Outcomes
Challenge
• 15,000 cathodic pipes spread across Netherlands
• Overtime, sporadic engineers monitor
• Inefficient and lack of information
Solution
• Using Sensors able to measure multiple factors,
GPS, accelerometer, humidity and electric current
through IoT
• Collect semi real-time data into a data lake
• Using Io-Tahoe to create a known data operational
model apply data science to create predictive
maintenance model
• Potential reduces maintenance by 35%
12
Cathodic Protection - Predictive Maintenance
Challenge
• Digital transformation of field engineers
• More digital data
• Cross-sell of the services
Solution
• Collect data across various data, product, services,
field sources into data lake
• Apply data science and visualization to data
• Broken promises was born
• Significant cost savings (£M)
Revenue assurance through accurate insight
Challenge
• Well-known media company had electric bills that could
not be measured and high cost of operating cabinets -
£51M
Solution
• Added Panoramic Power wireless self-powered sensors to
41,000 cable boxes
• Ingested data into Centrica’s data lake and used Io-Tahoe
to create an accurate view of financial, customer and
location data
• Using data science capability we were able to establish:
– Known electricity consumption
– Retain and gain customers through predictive
maintenance reducing complaints and incidents
– Insight to using batteries as virtual power plant off-grid
Digitising business with IoT and data lake
Challenge
• Extract value from new data sources of smart
meters and smart appliances in the home
Solution
• Using data to allow detailed profiling of customer
behaviour and consumption
• Increase customer acquisition and retention
through tailored tariffs and offers to existing and
new customer
• Incremental revenue
15
Connected Home – customer insight
Working
day
Weekend
Bank
holiday
20˚ C
02:
30
05:
00
04:
30
03:
00
Challenge
• How to provide value and offers to customers as they
evolve from consumers to suppliers?
Solution
• Provide supply predictions for smart businesses and
homes
• Collect and ingest data into data lake and use Io-Tahoe
to get a known data model
• Combine data with grid supply payment method to
create virtual power plant for Grid
• Gain new customers -> Revenue
Vision for an integrated Virtual Power Plant
Energy Marketing & Trading
Distributed
Energy
& Power
Supply
Business
VPP
Optimisation
Smart City
Aggregation
Microgrid
Microgrid
Smart Home
Route to Market
Centrica
Merchant Fleet
Local Energy
Systems
Smart BusinesesNote: Cognizant Images
Challenge
• Multiple data systems with no shared vocabulary
• Live barrier level insight for operational leaders
Solution
• Near live barrier level insight by:
– Using Io-Tahoe continuous ingestion into
Hadoop data lake, smart data discovery and
governed metadata management
• Using data science identified trends and
correlations to adjust rule-sets
• End-result is better accident event management
leading
– Better know risk and expense
– Lowering risk to brand reputation
Modelling process safety
…..is linked to barrier types
Generic model…..
Preventative Protective
18
Procurement supply chain risk management
Challenge
• Enable procurement to identify, minimise and
manage risk of suppliers
• Suppliers are compliant with corporate social
responsibility values
Solution
• Ingest diverse data sources across the business as
well as Dun & Bradstreet risk data into data lake
• Use Io-Tahoe to create data knowledge base using
data discovery and metadata management
• Visualize the risk-based suppliers reducing
expense exposure and reputational damage
• Data science created predictive model for ethical
and risky suppliers
19
Those who thrive in this digital
economy will be the organisations that
turn information into a
competitive advantage
20
Confidentiality Notice
This file is private and may contain confidential and proprietary information. If you have received this file in error, please notify us and remove it
from your system, and note that you must not copy, distribute or take any action in reliance on it. Any unauthorized use or disclosure of the
contents of this file is not permitted and may be unlawful. Centrica plc, Millstream, Maidenhead Road, Windsor, SL4 5GD. www.centrica.com
Io-Tahoe® is a registered trade mark of Centrica plc © Centrica plc 2017 21

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Open Source in the Energy Industry - Creating a New Operational Model for Data Management & Data Science

  • 1. 1 Introduction to Centrica  Supplies energy to around 28 million customer accounts  Deliver innovative products to customers globally for connected homes  Distributed Energy & Power is developing integrated energy solutions for commercial and industrial customers  Energy Marketing & Trading operates in LNG trading optimisation and risk management  Exploration & Production delivering energy supplies
  • 2. Creating a new operational model for data management Mark Miller Chief Product Officer
  • 4. Data Lake & HDP drove data science and innovation • Did not solve just a cost and resource issue of exploding data from IoT and digital transformation • Created innovative and attitudinal change towards data • Created a new operational model by delivering Io-Tahoe to provide smart data discovery • Created data science capability to extract maximum value from the data 0 1 2 3 4 5 Data Driven Digital Data Analysis & Insight Data Engineering Data QualityData Governance Data Culture Data Science & Innovation Scorecard for data competency ORG 1 ORG 2 ORG 3 ORG 4
  • 5. Data science provides knowledge from data • Data science augments traditional statistical analysis with techniques like machine learning, natural language processing and data visualisation • Explores IT and technology related hypotheses. For example, predicting device failures, understanding why smart meters stop working and big data problems • Use data and data science techniques to develop innovative products such as Io-Tahoe • Collaborate on business driven projects and act as a hub for knowledge, best practise, and research Data Science UK Home UK Business EMT BGI Bord Gais Direct Energy Smart Centrica Group Connected Homes DE&P • Year In Industry • Apprentice • Domain Expertise • PhD Machine Learning • MSc Data Science • Experienced Developers • Graduate Scheme TheTeam
  • 6. 6 Io-Tahoe LLC Io-Tahoe was created in 2013 by Centrica for smart data discovery for internal data lake projects Acquired assets of RokittAstra in May 2017 RokittAstra provides smart data discovery for structured databases Founded in August 2014 Io-Tahoe LLC is a wholly owned subsidiary of Centrica plc Io-Tahoe creates a new unique operating model for data management. It allows both business and IT to build, innovate and deliver on their information objectives in an agile and governed way
  • 7. Creating a new operational model for data management
  • 8. What is Io-Tahoe solving? Data Lake Huge opportunity Data Discovery Time Consuming Monetization Business Growth Regulatory Compliance Data Profit Rapidly Growing Ever Changing Manual, SME Incomplete, Inefficient, Tedious, Unreliable
  • 9. Io-Tahoe empowers data management Manual Discovery Unknown, broken relationships Relationships Auto-Discovered WE ARE WE ARE NOT ALTERNATIVE POWERS POWERS
  • 10. What is Io-Tahoe? Building the Data Lake Create high definition view of the Data Lake Empowering the business with data Deliverables to enable business Adaptive Ingest Smart Discovery Self-Service Data Knowledge, Queries, Data Flow Config not development Reduce time Team Sport Export Complexity Find new relationships Search your business Data Science SDK ConciergeGOVERNANCE Concierge INGEST DATA DISCOVERY METADATA MANGEMENT ORGANISE Data Tap Customer Fingerprinting Concierge
  • 12. Challenge • 15,000 cathodic pipes spread across Netherlands • Overtime, sporadic engineers monitor • Inefficient and lack of information Solution • Using Sensors able to measure multiple factors, GPS, accelerometer, humidity and electric current through IoT • Collect semi real-time data into a data lake • Using Io-Tahoe to create a known data operational model apply data science to create predictive maintenance model • Potential reduces maintenance by 35% 12 Cathodic Protection - Predictive Maintenance
  • 13. Challenge • Digital transformation of field engineers • More digital data • Cross-sell of the services Solution • Collect data across various data, product, services, field sources into data lake • Apply data science and visualization to data • Broken promises was born • Significant cost savings (£M) Revenue assurance through accurate insight
  • 14. Challenge • Well-known media company had electric bills that could not be measured and high cost of operating cabinets - £51M Solution • Added Panoramic Power wireless self-powered sensors to 41,000 cable boxes • Ingested data into Centrica’s data lake and used Io-Tahoe to create an accurate view of financial, customer and location data • Using data science capability we were able to establish: – Known electricity consumption – Retain and gain customers through predictive maintenance reducing complaints and incidents – Insight to using batteries as virtual power plant off-grid Digitising business with IoT and data lake
  • 15. Challenge • Extract value from new data sources of smart meters and smart appliances in the home Solution • Using data to allow detailed profiling of customer behaviour and consumption • Increase customer acquisition and retention through tailored tariffs and offers to existing and new customer • Incremental revenue 15 Connected Home – customer insight Working day Weekend Bank holiday 20˚ C 02: 30 05: 00 04: 30 03: 00
  • 16. Challenge • How to provide value and offers to customers as they evolve from consumers to suppliers? Solution • Provide supply predictions for smart businesses and homes • Collect and ingest data into data lake and use Io-Tahoe to get a known data model • Combine data with grid supply payment method to create virtual power plant for Grid • Gain new customers -> Revenue Vision for an integrated Virtual Power Plant Energy Marketing & Trading Distributed Energy & Power Supply Business VPP Optimisation Smart City Aggregation Microgrid Microgrid Smart Home Route to Market Centrica Merchant Fleet Local Energy Systems Smart BusinesesNote: Cognizant Images
  • 17. Challenge • Multiple data systems with no shared vocabulary • Live barrier level insight for operational leaders Solution • Near live barrier level insight by: – Using Io-Tahoe continuous ingestion into Hadoop data lake, smart data discovery and governed metadata management • Using data science identified trends and correlations to adjust rule-sets • End-result is better accident event management leading – Better know risk and expense – Lowering risk to brand reputation Modelling process safety …..is linked to barrier types Generic model….. Preventative Protective
  • 18. 18 Procurement supply chain risk management Challenge • Enable procurement to identify, minimise and manage risk of suppliers • Suppliers are compliant with corporate social responsibility values Solution • Ingest diverse data sources across the business as well as Dun & Bradstreet risk data into data lake • Use Io-Tahoe to create data knowledge base using data discovery and metadata management • Visualize the risk-based suppliers reducing expense exposure and reputational damage • Data science created predictive model for ethical and risky suppliers
  • 19. 19 Those who thrive in this digital economy will be the organisations that turn information into a competitive advantage
  • 20. 20
  • 21. Confidentiality Notice This file is private and may contain confidential and proprietary information. If you have received this file in error, please notify us and remove it from your system, and note that you must not copy, distribute or take any action in reliance on it. Any unauthorized use or disclosure of the contents of this file is not permitted and may be unlawful. Centrica plc, Millstream, Maidenhead Road, Windsor, SL4 5GD. www.centrica.com Io-Tahoe® is a registered trade mark of Centrica plc © Centrica plc 2017 21