Data & Technology
Finance, sales and inventory data is loaded automatically into a data warehouse that is reconciled against the books. Every report calculates the same way, from the monthly report to the group management report, and nobody has to build them by hand.
The business logic, such as how margin is calculated, is written once in the data warehouse. Reports, dashboards and AI solutions then draw from the same place, and revenue, customer and margin mean the same thing everywhere. The logic is tested and documented, and it does not depend on any one person.
“Stormyran plays an invaluable role for us in handling and processing complex data for our B2B clients. Their expertise and reliability make them an important partner in our business.”
We look at how the monthly report is produced today and sketch the path to a data warehouse, with a timeline and what a first stage would deliver.
A finance system, a CRM and a number of Excel files. We bring them into one warehouse and build the first reports on top.
We build or clean up the warehouse together with your team, so you can maintain it yourselves afterwards.
Many source systems, hundreds of users and reporting at several levels. The architecture, permissions and models have to hold as more companies and systems are added.
The monthly report is built by hand in Excel from several systems
Different departments report different figures for the same KPI
Business logic lives in individual reports or with individual people
Every new question from management turns into a new development project
The data is not good enough to try AI or machine learning
What we build
What you get
We go through which decisions the data should support, which source systems there are and how reporting works today.
We propose a platform and architecture based on the licences you already have, your security requirements and your budget.
We connect the most important source systems and build the first models in dbt, with tests for the things that have to be right.
Existing reports are moved across or rebuilt on the warehouse, and we check the figures against the finance system.
You get the documentation and the code in your Git. Either you maintain the warehouse yourselves, or we keep maintaining and extending it.
Listed industrial group
We built a data warehouse in Snowflake that brings together data from more than 20 source systems.
The warehouse is the foundation for the group's reporting in Power BI and is used by more than 250 people.
Automotive retail group
We have worked with the group for several years, from advice on the data architecture to building the warehouse, the integrations and the BI solutions.
The warehouse is built in Snowflake with dbt, and reporting runs in Qlik.
In many companies, important decisions are made from Excel sheets where nobody is quite sure the numbers are current. The knowledge of how reports are produced sits with a few people, and a new report takes days to build.
With a data warehouse the numbers update automatically, and everyone who needs them can get to them without going through the few people who know how the report is built.
The team has worked on group reporting, production planning, inventory optimisation and sales follow-up across many industries.
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Read moreMost projects are done in 6–12 weeks. Larger warehouses with many source systems are built in stages, and the first reports can be used after the first stage.
It depends on what you already have. We work with Snowflake, Microsoft Fabric, Azure, AWS and Google BigQuery, and with on-premise setups. We do not sell platform licences, so the proposal is based only on what suits you.
Yes. The reporting tools read from the warehouse models, so every report starts from the same definitions.
Yes. We start with a code review and point out technical and accounting gaps. Then we take over maintenance and only rebuild what needs rebuilding.
You do. We build in your cloud environment and your Git, and you can carry on yourselves or change supplier at any time.
Data is encrypted, access is controlled by role and where needed by row, and the environment is monitored continuously. All data is handled in line with GDPR.
The cost depends mainly on the number of source systems, how complex the business logic is and how many reports need rebuilding. On top of that comes the platform itself, which you pay directly to the vendor. After the current-state review you get a proposal with a cost estimate.
Yes. We can start with the finance system and one or two other sources, and add more once the first reports are in place.
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