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HOW TO ESTABLISH
DATA-DRIVEN DECISIONING
17MARCH2021 | AACHENDATA&AIMEETUP | THOMASGERSTMANN
THOMAS GERSTMANN
• Datadriven Marketing
• Datadriven Culture
• Online UX Optimization for Web & Apps
• A/B-Testing & Personalization
• Experimentation Program Rollouts
Some clients: Volkswagen Financial
Services, ERGO, several SMBs
2
What is a decision at all?
„A decision is the result of a process, in which an
action or output among several possible
alternative options is finally chosen, which may or
may not prompt an action.“
https://en.wikipedia.org/wiki/Decision-making
4
„Humans or machines can both make decisions.
Or both in cooperation.“
Cassie Kozyrkov – Chief Decision Scientist at Google
5
What is
data-driven decision making?
is to take data into account to
guide decisions
for improving success.
https://en.wikipedia.org/wiki/Data-informed_decision-making
is to rely with every element of a
strategy solely on data to make
interpretations based on data
for improving success.
https://segment.com/resources/data-strategy/data-driven-vs-data-informed/
Data-informed decision making
7
Data-driven decision making
EXAMPLE 1:
DATA-DRIVEN DECISION-MAKING
• A/B-Testing:
• Data gets
collected from
website users
• The algorithm
decides alone
which variant
works best and
should be used in
future.
EXAMPLE 2:
DATA-INFORMED DECISION-MAKING
• Here, I track my emotional status and my fitness
(as self-employed I don‘t have to worry about
bosses maybe seeing this data illegitemely)
• With these data points collected, I can i.e. in
monthly analysis see, which clients I am most
happy with. Or at which weekdays or times of day I
feel most vital. And optimize my working
behaviour.
The advantages?
• Facts-based instead of gut feeling
• Sustainable
• Goal oriented
• Great to support also goal-oriented structures
11
The status quo?
DO YOU BELIEVE YOUR ORGANIZATION IS DATA-DRIVEN?
13
An approach for
data-informed decisions?
1. Identify
questions
2. Define
goals
3. Measure
4. Provide
5.
Understand
6. Establish
culture
7. Optimize
Data-driven decisions
with analytics, iot & machine learning?
Then listen now to todays next talks from
Daniel Appasamy Franklin & Sujit Kumar
Got questions?
Contact me via LinkedIn:
https://www.linkedin.com/in/thomasgerstmann/

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How to establish data-driven decision making

  • 1. HOW TO ESTABLISH DATA-DRIVEN DECISIONING 17MARCH2021 | AACHENDATA&AIMEETUP | THOMASGERSTMANN
  • 2. THOMAS GERSTMANN • Datadriven Marketing • Datadriven Culture • Online UX Optimization for Web & Apps • A/B-Testing & Personalization • Experimentation Program Rollouts Some clients: Volkswagen Financial Services, ERGO, several SMBs 2
  • 3. What is a decision at all?
  • 4. „A decision is the result of a process, in which an action or output among several possible alternative options is finally chosen, which may or may not prompt an action.“ https://en.wikipedia.org/wiki/Decision-making 4
  • 5. „Humans or machines can both make decisions. Or both in cooperation.“ Cassie Kozyrkov – Chief Decision Scientist at Google 5
  • 7. is to take data into account to guide decisions for improving success. https://en.wikipedia.org/wiki/Data-informed_decision-making is to rely with every element of a strategy solely on data to make interpretations based on data for improving success. https://segment.com/resources/data-strategy/data-driven-vs-data-informed/ Data-informed decision making 7 Data-driven decision making
  • 8. EXAMPLE 1: DATA-DRIVEN DECISION-MAKING • A/B-Testing: • Data gets collected from website users • The algorithm decides alone which variant works best and should be used in future.
  • 9. EXAMPLE 2: DATA-INFORMED DECISION-MAKING • Here, I track my emotional status and my fitness (as self-employed I don‘t have to worry about bosses maybe seeing this data illegitemely) • With these data points collected, I can i.e. in monthly analysis see, which clients I am most happy with. Or at which weekdays or times of day I feel most vital. And optimize my working behaviour.
  • 11. • Facts-based instead of gut feeling • Sustainable • Goal oriented • Great to support also goal-oriented structures 11
  • 13. DO YOU BELIEVE YOUR ORGANIZATION IS DATA-DRIVEN? 13
  • 15. 1. Identify questions 2. Define goals 3. Measure 4. Provide 5. Understand 6. Establish culture 7. Optimize
  • 16. Data-driven decisions with analytics, iot & machine learning? Then listen now to todays next talks from Daniel Appasamy Franklin & Sujit Kumar
  • 17. Got questions? Contact me via LinkedIn: https://www.linkedin.com/in/thomasgerstmann/