Our services ensure that all data the business generates is stored in a structured data platform, and made available for automated analysis, visualizations, and reporting. By building a solid foundation for data, organizations can make better decisions based on correct and up-to-date data. In addition, this makes the business future-oriented and ready to use advanced analytics, like AI and machine learning.
gir én sannhet om virksomhetens data, og legger til rette for effektiv styring, rapportering og innsikt.
reduserer manuelt arbeid, gir raskere tilgang til innsikt og frigjør ressurser til mer verdiskapende aktiviteter.
åpner for avansert analyse, prediksjon og innovasjon, og gir et solid fundament for utvikling og vekst gjennom datadrevne beslutninger.
gir evner til å håndtere både strukturerte og ustrukturerte data, tilpasse seg nye datakilder og integrere med avansert analyse og maskinlæring.
Azure Databricks is a scalable data platform for advanced analytics, real-time data processing, and machine learning. Databricks provides high flexibility and efficiency for organizations working with large data volumes and complex analyses.
Microsoft Fabric is an all-in-one platform for integration, storage, analysis, and visualization. It is user-friendly, tightly integrated into the Microsoft ecosystem, and suits companies that want a comprehensive solution for both technical and business users.
Power BI is an analytics tool that visualizes data in interactive reports and dashboards. It gives managers and employees access to real-time insight, reduces time spent on reporting, and makes it easier to make data-driven and accurate decisions.
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Enables fully automated reporting, real-time analysis, and decisions based on updated insight.
Cloud-based solutions provide flexibility. Scale up or down as needed without large investments.
Optimized data processing makes it easier and faster to retrieve and analyze data.
Expert advice on selecting the platform and tools that best solve your business needs.
Scalable solutions that provide adaptability for new requirements and technology.
Continuous improvement of data quality and performance, as well as operation and management through a managed service agreement.
A data platform is a system that collects, stores and organizes data from various sources so that the business can easily extract insights. It makes it possible to connect data from multiple systems (such as CRM, ERP, HR, finance, and sensors) and make it available to analytics tools such as Power BI.
It varies based on the complexity and number of sources, but a first version (MVP) can often be up in 4—8 weeks. Then the solution can be built out step by step as needed.
The fact that the platform is technology independent means that it is not tied to one specific vendor or cloud solution. We can build solutions across technologies such as Azure, AWS, Google Cloud or on-premises environments. To create the best solution based on the need and existing systems.
We can connect to the vast majority of sources, including databases (SQL, Oracle, PostgreSQL, etc.), APIs, file-based sources (Excel, CSV, JSON), cloud services (HubSpot, Salesforce, Google Analytics, etc.) and internal subject systems. The point is to gather all relevant data into one common structure.