Hoe gebruik je data als inspiratie om tot nieuwe verdienmodellen te komen?

1. Datastrategie: Data als bron van
nieuwe diensten
Kuldip Singh · Sept 11th, 2018

2. innogy aims to lead the green
energy transformation. There
will be no energy transition
without digital transformation.

3. innogy SE · Google/Tesla · December 2017

6. Our Retail data enrichment strategy
Moving from electrons to data and platforms
Save costs
▪ Meaningful ads = Effective
media buying
Improve campaigns
effectiveness
▪ We develop in-house
granular customer segments
Get insights about our
customers
▪ Who is most likely an innogy
customer?
▪ With whom we setup a Loyalty
Program for churn reduction?
▪ Who are our most valuable
customers and how can we
engage them for upselling?Profile
Gender & age
Contract data and
Energy consumption
Home status / pre-
sence (Smart Home)
Own websites, app
behavior & online
searches (cookies)
Owned online
media
CRM & IT
systems
1st party data
Service
provider data
Media firms (DMP
segment exchange)
2nd and 3rd party data
Net income, financial
products usage
Life-events
Transactional data
(purchases on/offline,
e.g. Smart Home)
Browsing history
and read articles
What do we do know about our
customers with our own data?
What could this look like with
2nd and 3rd party data?

7. Fresh Energy

8. By analysing the data from smart meters,
we can identify how much power each
household appliance consumes.

9. The web app allows for full cost
control over the energy consumption
of all appliances. Monthly billing is
based on the actual usage.
• Monthly overview
• Detailed consumption by appliance
• Hour-by-hour view
Main Features
Datastrategie: Data als bron van nieuwe diensten

10. To realize data-driven use cases, we team-up with
strong corporate partners across industries
Datastrategie: Data als bron van nieuwe diensten

11. Understanding electricity consumption
is a key enabler for data-driven
business models across industries.

12. bit.B – Process and energy monitoring

13. © innogy 2017
Retrofittable sensors are used to
collect and analyze energy,
process, company and
environmental data in real-time –
they provide full transparency.

14. The cost-effective system is based on a wireless
solution that can be installed during operation times
1. E.g. for energy/water consumption, CO² level, temperature, humidity, sound level, process times, doors, visitor numbers, etc.
14
Datastrategie: Data als bron van nieuwe diensten
Data is processed on the server
and made available via the
Internet in the form of key
figures and analyses
bit.B-Sensor nodesSensors
bit.B-Gateway
Installing diverse1 sensors during
operation at measuring points / machines
bit.B Sensor nodes send data every second via
Lemonbeat radio to a central bit.B-Gateway
bit.B-Gateway sends data over
the Internet to the bit.B-Server
Customer can carry out
optimizations based on the
evaluations
-wired- -wireless transmission-
bit.B-Online-Monitor bit.B-Server

15. We are working on data-based use cases for our
bit.B services
15
Datastrategie: Data als bron van nieuwe diensten
Minimization of
standby times
Reduces energy costs
Monitoring of production
and machines/devices
Increases profit
Identification of
main consumers
Reduces energy
and time costs
Monitoring of energy, gas
and water consumption
Reduces energy costs and
protects the environment
Detection of defects &
modernization potentials
Reduces downtime and
maintenance costs
Reduction of
peak loads
Reduces energy costs
Monitoring of storage and
room air conditions
Reduces costs and increases
product quality
Further examples in backup

16. We have proven the use cases together with our
partners in more than 100 projects
16
Datastrategie: Data als bron van nieuwe diensten
Example 1: Hotels
Hotel Bredeney in Essen
Approach (selection): Creation of a measuring point
concept for several kitchens and refrigerators /
Installation and commissioning of bit.B in
cooperation with the hotel management
Results (selection): Savings focus on air condition &
heating; average energy savings of ~7% in first 6M
Example 2: Store chain
Shoe chain Kramer
Approach (selection): Creation of a measuring point
concept for 30 stores / Installation and
commissioning of bit.B by the store managers
Results (selection): Stores temperature live view incl.
reduction potential, tracking of customer visits,
enabling of intraday mapping of customers & sales

17. bit.B combines affordable technology, real-
time data, simple software and an easy
installation without disrupting operations.

18. Data platforms & new business models

19. innogy & industry partners (e.g. Medion)
Real
estate
TelCo Smart
Living
Energy Enter-
tainment
Etc.Insu-
rance
Data
vault
Data
vault
Data
vault
A common data vault will enable a strong
collaboration with our corporate partners
Datastrategie: Data als bron van nieuwe diensten

20. Data
sources
Real
estate
TelCo Smart
Living
Energy Enter-
tainment
Etc.Insu-
rance
Disruptive business models occur “cross-industry“
and globally
Datastrategie: Data als bron van nieuwe diensten

21. We strongly believe that common
platforms and collaborations with partners
are essential for utilities in the future.

22. “Our planet will be a better place, when we
create a sustainable world in which innogy
inspires how people live and work.”

23. “Our planet will be a better place, when we
create a sustainable world in which innogy
inspires how people live and work.”
Please let me know
your questions!