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Finding suitable BI set-up and
making it work in your organisation
Mari HermannsHead of Business Intelligence in solarisBank
Head of Business Intelligence in FinLeapHead of Business Intelligence in paylevenSenior consultant in PwC
Listed Forbes 30u30 in Finance in 2017BI Berlin roundtable organizer
solarisBank in a nutshell
A technology company with a full banking license
What we doBy combining tech and banking in one company, solarisBank enables any business to become a provider of financial services products.
Fast, scalable and secure.
130 employees
from 20+ nations
Founded March 2016
Received German banking license within 9 months
Active in 7 EU countries via passporting of banking license
Seed round: €12.5m
Series A round: €26.3m
2+ million end customers reached end of 2017
50+ partners live end of 2017
Headquarter in Berlin
Finding suitable BI set-up and
making it work in your organisation
Agenda
Definition of expectations for BI
Decision on tools
Durability of BI
defining the need for business intelligence in the organization
Questions that help to define the expectations for BI
Answers to the
introduced 5 questions
can help to define the
expectation for the
Business Intelligence
function
• Question to the functions: what are the 5 kpisyou need most to manage your team?
• Question to tech: do you have capacity and interest to build and manage the technical BI infrastructure?
• Question to the management: where will BI be located in the org chart and what is the meaning of that?
• Question to the management: what input do you need to make better and faster decisions?
• Question to tech: how much data are we collecting right now and how do we expect that to grow ?
Questions that help to define the expectations for BI
Answers to the
introduced 5 questions
can help to define the
expectation for the
Business Intelligence
function
• Question to the functions: what are the 5 kpisyou need most to manage your team?
• Question to tech: do you have capacity and interest to build and manage the technical BI infrastructure?
• Question to the management: where will BI be located in the org chart and what is the meaning of that?
• Question to the management: what input do you need to make better and faster decisions?
• Question to tech: how much data are we collecting right now and how do we expect that to grow ?
And then define the vision for Business Intelligence. This will be the basis for defining the regular goals and priorities and helps to reach the
expected milestones
BI should be a cross-functional department that supports all
solarisBank stakeholders*, by making the use of internal data as a core
competency
*e.g. departments, management, investors, teams, partners etc.
BI functional responsibilities are evolving over timeV
alu
e
Difficulty
Descriptive Analytics
Diagnostic Analytics
Predictive Analytics
PrescriptiveAnalytics
What happened?
What will happen?
Why did it happen?
How can we make it happen?
© Gartner
= TIME
Agenda
Definition of expectations for BI
Decision on tools
Durability of BI
simple steps to take to find the BI tool most suitable for the needs of the organization
For questions we ask at the dinner table we get an immediate answer from a search
query,
for questions we ask during company meetings we should get an immediate
answer from the visualization tool
Selection of ETL*, storage and reporting tools in traditional BI
ETL ETL visualization
Reporting
*extract, transform, load. Three database functions that are combined into one tool to pull data out of one database and place it into another database
storage
1 12 3
3
data sources
Simple scorecard is one of the most effective decision-making tool
Criteria
Selection of tools
Evaluation
“Modern data infrastructure is necessary but insufficient for a company to become
data driven. Culture is the key ingredient to ensuring data investments achieve their
potential”Tomasz Tunguz & Frank Bien
Agenda
Definition of expectations for BI
Decision on tools
Durability of BI
building a data-driven culture that maximizes the return of investment of BI
1.Employees must be data literate
© Data fluency
2.Easy to use data infrastructure should be in place
© Data fluency
3.Single metrics lexicon, i.e. data dictionary should be developed
© Data fluency
4.Data must be part of every important discussion and decision
© Data fluency
5.BI should not become a bottleneck
© Data fluency
6.Curiosity should be rewarded
© Data fluency
Thank You.