Your organization generates large amounts of data every day from finance, operations, sales, and marketing. Well-structured and easily accessible data is essential for fast integration with modern platforms and services, and a prerequisite for companies looking to evaluate AI and ML solutions. At Stormyran, we help you bring it all together into a unified, reliable, and scalable data warehouse. The result: trusted data, faster reporting, and a solid foundation for better business decisions.
“They helped us migrate to Qlik Cloud and organize our entire data management with dbt, and the difference is like night and day. Data loads run smoother and incrementally, and with version control of the code, we have a completely different confidence that everything "just works."”
Henning Horn af Rantzien
COO, Playpilot
Reports take days to compile because data lives in different systems
Teams spend more time cleaning data than using it
Management lacks a clear, real-time view of business performance
Data quality is not sufficient to test ML/AI solutions
Do you recognize yourselves? Critical decisions based on Excel spreadsheets where nobody really knows if the numbers are current. Business-critical information that only exists in the heads of a few key employees. Reports that take days to produce, and by the time they're ready, circumstances have already changed. In a modern organization, data must always be current, and as decision-making and analysis increasingly rely on data, accurate.
Modern competitiveness requires you to make fast, well-informed decisions based on reliable data. Having good data management is no longer a competitive advantage – it's a prerequisite for survival. Structured, accessible, and trustworthy data is the foundation for everything from daily operations to strategic planning. A modern data warehouse makes this information available to your entire organization, when it's needed.
Stormyran differs from traditional IT consultants. While we certainly have the technical expertise, our starting point is always the business. We understand that data is meaningless if it doesn't create value. Our team has extensive experience across many different industries, and we know how data can be used to actually impact results – whether it's streamlining production, optimizing inventory, improving customer experiences, or identifying new business opportunities.
When you choose Stormyran, you don't just get technical implementation. You get a partner who understands both data and business logic. We don't just help you build the system – we guide you on how to use it to create concrete value. We remove dependency on individual employees' knowledge, replace uncertain Excel sheets with structured pipelines, and give you the insights you need to make the right decisions at the right time.
We map your systems and data goals
We create a scalable data model and flow
We build and deploy with modern tools
Continuous performance tuning and governance
Our customers see immediate return on investment through more structured data. Both in cost reduction for new development, higher efficiency for existing staff, and the ability to analyze their business with high accuracy and deep understanding based on trustworthy data that relies on well-designed pipelines and logic instead of highly dispersed business logic and Excel spreadsheets.
Snowflake, Azure, AWS, Google BigQuery or on-premise/data center platforms.
Azure Data Factory, Python/Spark pipelines, dbt, Fabric, TimeXtender.
Encryption, access control, audit trails and compliance with GDPR and other regulations.
We are platform-agnostic and help our customers choose the technology stack that best fits their environment. We consider budget, security requirements, and compatibility with existing systems to ensure an optimal solution that meets both short-term and long-term needs.
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Om du har suttit i möten där tekniker eller leverantörer nämner "API:er" och "integrationer" som om det vore självklart vad det betyder, är du inte ensam. De här begreppen dyker upp överallt när man pratar om digitalisering, men förklaras sällan på ett begripligt sätt.
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