Your data journey from undigitalized to AI-powered

Data is one of your most valuable assets. But truly unlocking its power is a journey. A journey of maturity. Some are just starting to sniff out structured data, others are already integrating AI into their business processes.

We see it as five clear steps. Wherever you are today, we can help you take the next step. Whether it’s leaving Excel behind – or predicting the future with machine learning.

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Studies show that data-mature organizations lead in:

Operational efficiency (81% vs. 51%)
Revenue (77% vs. 61%)
Customer retention (77% vs. 45%)
Employee satisfaction (68% vs. 39%)
IT cost predictability

🧠 Summary (TL;DR)

We help you navigate the entire journey from unstructured data to AI-driven decisions. Through strategic advice, technical implementation and cutting-edge expertise in data and AI, we support Swedish businesses in understanding, structuring and capitalizing on their data – whether the goal is better insights, more efficient processes or new business opportunities.

A partner throughout the journey

It doesn’t matter if you’re just starting out or are well along in your data maturity journey – we adapt to your reality. Maybe you need help figuring out where all your data is and what it means. Or maybe you’re looking for a partner who can be there all the way – from unstructured chaos to AI that gets the job done.

No matter what, we’re happy to start with a simple chat. No sales pitch – just a curious conversation about how we can help you get more value from your data.

Where are you on the Data Maturity Staircase?

No matter where you are on your data maturity journey, we meet you there. Do you just need a push in the right direction – like a data mapping or help structuring what you have? We can do that. Or are you looking for a long-term partner who can be with you all the way – from messy data to AI that actually makes a difference? Then we are with you too.

Manual processes, binders, Excel sheets, emails

Challenge: Difficult to get an overview, gut decisions

Multiple support systems, but scattered data silos

Challenge: Unlinked data, multiple versions of the truth

Awareness of the need for a common plan

Challenge: Ambitions without a clear path forward

Building centralized technical infrastructure

Challenge: Requires specialist expertise for implementation

Using AI for predictive analytics and automation

Challenge: Moving from reactive to proactive analytics

Step 1: Undigitized

When gut feeling rules – and Excel is king. In this situation, much is still manual. Information is in personal documents, email threads and folders. Decision-making is often based more on experience than on collected data.

There are few, if any, central systems – and a lot of knowledge is in the heads of individuals.

What it might look like:

Orders are handled via email – and keyed in manually.

Customer lists are in different Excel files – one per person.

Reporting requires someone to chase numbers from all sides.
It is difficult to get a clear picture of how things are going – regardless of whether it concerns sales, projects or inventory.

Here’s how we help you take the first step

Starting digitalization can feel like a big step – but we make it manageable.

We start with strategic advice and concrete workshops where we map the current situation together.

We focus on what provides the most benefit first: the critical processes, the most important data.

Then we develop a plan for how you can start working more data-driven – with the right systems, the right processes and a team that understands why.

Step 2. Data-savvy

When systems don’t talk to each other. You’ve already invested in multiple systems – maybe a CRM, an accounting system and a couple of other support systems. But the data is still in silos.

Excel is the tool that holds everything together – which works, but only to a certain extent.

The problem? Everyone has their own version of the truth.

Sales has its numbers. Finance has its own. Reports are created manually and take time to reconcile – and you know you have a lot of valuable data, but it’s hard to get a handle on it.

What it can look like:

The systems don’t talk to each other – and you’re the one who has to act as the interpreter.

Excel files are sent around, changed and create more confusion than clarity.

Every monthly meeting starts by discussing numbers – not what to do about them.

You know the potential is there, but not how to unlock it.

How we help you get a handle on the situation

Before you can build something smart – you need to know what you have.

We start with a Data Mapping. It is a thorough scan of your existing data environment where we:
Identify all data sources
Check data quality, structure and volume
Visualize how (and if) data moves between systems
Create an overview that shows exactly what it looks like today

You get a clear, concrete report that becomes your map forward – a necessary basis for making the right decisions about the next step.

Step 3. Data strategy

You know that the current situation is not sustainable in the long term. The data is scattered, the reporting is inconsistent – and you have come to the realization that it is limiting you. Management is on board, key people are committed, but the question is: What do we do now?

It is no longer a question of whether to become data-driven – but how.

What it might look like:

Everyone agrees that something needs to be done – but no one really knows where to start.

There is talk about the need for a common truth – but “customer” still means different things in different systems.
There is ambition and energy – but there is a lack of direction and structure.
Here’s how we help you make the vision a reality
A vision without a plan is just a dream.
We help you develop a Data Strategy – a concrete plan that connects business goals, technology and working methods. It will be your compass going forward.

Together we define:

What you want to achieve – what business goals the data should support

Who owns what – governance and roles

How it will be built – architecture for a sustainable data platform

When it will happen – a roadmap with clear priorities and milestones

This is the start of a more data-driven way of thinking, working and making decisions – with the entire organization on board.

Step 4. Data platform

You have a clear direction. The data strategy is in place, and now it’s time to make the plan a reality. The focus is on creating a common foundation – a central platform where data is collected, connected and becomes useful for the entire organization.

What it might look like:

You have decided to build a data warehouse or a modern platform in the cloud.
A project is underway to connect data from CRM, finance and production.
The goal: That everyone – from management to operational level – should have access to the right data, at the right time, in the right way.

How we help you build for the future

Building a sustainable data platform requires more than technology – it requires experience, structure and understanding of both business and systems.

We can support you in several ways:

Full commitment – We design, build and implement the entire platform from scratch.
Specialist support – We strengthen your team with expertise in data engineering, cloud, integration and visualization.
Consulting and management – We are your technical partner throughout the project – and even afterwards, if you want.
You get a solution that lasts – technically, commercially and over time.

Step 5. AI-powered

Your data platform already delivers.

You have control, insights and reports that give you a sense of where you stand – every day. But now you want more.

You want to understand why things happen – and what will happen next.
You are ready to start working proactively with AI and machine learning.

What it might look like:

You want to predict customer churn before it happens – not just see it afterwards.
You want to optimize inventory, pricing or resources using predictive models.
You want to automate complex decisions – for real, not just in theory.

Here’s how we help you take the step into the world of AI

AI opens up completely new opportunities – but only if you use it right.

We help you find the areas where AI actually makes a difference, and to build solutions that work in practice.

Mapping – We identify where AI and ML can create the most value for you.
Implementation – We build, train and put models into production tailored to your needs.
Strategic Consulting – We help you think long-term, set an AI strategy and ensure that the investment is connected to the business.

You have already built a solid foundation – now it’s time to take the next step.

What we do in Data & AI

We help you take control of your data, understand it – and actually use it. All with your business goals as a compass. Here’s what we can contribute:

Data & AI Strategy

Together, we set a clear, data-driven vision. We develop a concrete AI roadmap that is connected to your business goals – not just a fluffy document in a drawer.

From strategy to reality

A strategy is just the beginning. We help you design and build the data platform required to make everything work for real.

Data Engineering

We build smart, robust data flows (ETL/ELT) and data warehouses that ensure the right data is in the right place – reliable, accessible and structured.

Analytics Engineering

We model data so that it is easy to analyze – and even easier to make decisions based on it.

Data Analytics & BI

We transform data into clear insights and interactive dashboards that the entire organization actually wants to use.

Data Science & Machine Learning

We look for patterns, predict trends and build AI solutions that create real value. Not just experiments – but real impact.

AI integration

We help you take the step into the AI world for real – by weaving machine learning directly into your processes.

Competency strengthening

Do you need to strengthen your team quickly? We offer both on-site experts and strategic partnerships that make a difference immediately.

What is the next step after the analytics solution is launched?Zackarias Madsen2025-11-20T12:36:24+02:00

Baosteel Olofström + Softhouse – Increased control in line with growth
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Your data journey from undigitalized to AI-powered

🧠 Summary (TL;DR)

A partner throughout the journey

Step 1: Undigitized

Step 2. Data-savvy

Step 3. Data strategy

Step 4. Data platform

Step 5. AI-powered

What we do in Data & AI

What is the next step after the analytics solution is launched?

Can small and medium‑sized businesses use your analytics solutions?

How do you ensure the analytics solution delivers business value?

How long does it take to implement an analytics solution?

What tools and technologies do you use for data analytics?

Why is data analytics important for companies?

How long does it take to implement an analytics solution?

What tools and technologies do you use for data analytics?

Why is data analytics important for companies?

What is data analytics and business intelligence?

Baosteel Olofström + Softhouse – Increased control in line with growth

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