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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.