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Data & analytics consultancy

Insight is only valuable when it is acted on.

BusinessMinds is a management consultancy that uses data and analytics to improve business outcomes — from strategy and data foundations to the dashboards and models people actually use.

Start a conversation What we do
Sound familiar?

Do you recognise some of these issues?

ValueHow do we get real value from our data-driven initiatives?
Data qualityHow do we get the right, quality data — a single source of truth?
OrganisationWhere should data and BI sit, and how do we decentralise while staying aligned?
OwnershipWho owns the data, and who should maintain master data?
TimeBusiness users spend most of their time preparing ad-hoc analysis, not acting on it.
FocusProjects focus on tools instead of solving the business problem.
SkillsWhat do AI, advanced analytics and data science really require — skills, tools, people?
SilosHow do we stop working in silos and get better self-service?
PartnersWhat are the benefits and risks of sharing data with customers and suppliers?
What we do for you

Four disciplines, one goal: better business outcomes.

01

Advanced analytics & data science

Models that predict, prescribe and sit inside your processes.

  • Predictive modelling and segmentation
  • Prescriptive and decision analytics built into processes
  • Machine learning and AI use cases
  • Text mining and customer-behaviour analytics
  • Sensor and location analysis
02

Data platforms & management

Foundations you can trust, built in order of priority.

  • Build, renovate and migrate to modern data platforms
  • Combine structured and unstructured data
  • Data modelling, integration and ETL/ELT
  • Data governance, master data and metadata
  • Data lake and warehouse: cleanse, validate, de-dupe
03

Business intelligence & reporting

Dashboards that drive decisions, not just display numbers.

  • Best-practice visualisation
  • Enterprise-wide and ad-hoc dashboard design
  • Automated and self-service reporting
  • Automated triggers and alerts
  • Exploratory data analysis
04

Strategy & performance management

Business strategy that feeds into data and analytics.

  • Data, analytics and AI strategy and roadmaps
  • BI and analytics maturity improvement
  • Data and technical architecture
  • Performance, budgeting and forecasting management
  • Risk and process measurement

Industry-focused business outcomes and improvements

Our approach

Start small, prove value, then scale.

A proof of concept on the data and tools you already have shows what is possible — quickly, with low investment and low risk. Then we iterate until the benefits are realised.

1

Briefing & goals

Agree the vision and the business objectives the work must serve.

2

Discovery

Profile the data, map requirements and find the quickest route to value.

3

Research, design & validate

Prototype dashboards and models, and verify the data with the business.

4

Develop & implement

Build it properly and publish it into the processes where decisions happen.

5

Run & maintain

Keep it trusted, cheap to operate and improving — and upskill your team.

We iterate through steps 2–5 until the benefits are realised.
Case story

A data-driven approach to procurement at a Major Nordic Bank

$1bn+annual managed spend in Group Procurement
6locations across Northern Europe
7,000+suppliers brought into one view

Objectives

  • An efficient tool to minimise spend not covered by contracts
  • Spend and savings transparency for management and procurement professionals
  • A high level of trust in the data
  • Low operating costs

How it came together

G/L, contracts & savings data→ Business definitions→ Central data store→ Procurement dashboards
What experience has taught us

10 tips for success with data and analytics

01
Business

Know your business objectives — and align your data and analytics strategy with them.

06
Organisation

Make sure governance and metadata are considered from day one.

02
Technology

Don’t throw away your existing data warehouse.

07
Organisation

Upskill your existing staff by working alongside skilled people.

03
Technology

Don’t buy new technology straight away — use what you have for small proofs of concept.

08
Organisation

Don’t let data scientists work in isolation — they need to be with the business.

04
Business

Combine internal and external data for the most interesting insights.

09
Processes

Keep delivering what you can — don’t wait until it’s perfect.

05
Technology

Piece together your data platform in order of priority, and use each piece as it arrives.

10
Processes

Start by prioritising what you can achieve today.

Who we have worked with

Trusted by some of the largest and most innovative organisations.

Banking & finance

Danske Bank, Nordea, Nykredit, Westpac, Commonwealth Bank, Barclays, SDC

Insurance & pensions

Codan, Topdanmark, TrygVesta, PKA, Industriens Pension, MLC

Telecommunications

TDC, Telenor, Telia, Vodafone, Globe

Health & life science

Novo, Lundbeck, Pfizer, NSW Health

Government & public

SKAT, Politi, Københavns Kommune, Australian Government, Centrelink

Transport, retail & energy

Maersk, SAS, Qantas, Woolworths, DONG Energy, Veolia

Denmark · EuropePhilippines · AsiaAustralia · Oceania
Let’s talk

Ready to turn your data into action?

Tell us what you are trying to achieve. We will tell you honestly what is possible with the data and tools you already have.

[email protected]
BUSINESSMINDS DENMARK Gammel Holtevej 119
2840 Holte, Denmark
+45 4275 1943