Resilient data that just works
We don't mean to be coy. So don't take our word for it. This is what our customers say about us - and their satisfaction rate is over 97%
On average, our customers have:
Streamline your data processes and make sure you can run the analysis you need – without your needs being interpreted to code first. With Agile Data Engine the analytical model generates the code.
A data management platform that makes all business data operations secure, efficient and accessible to various stakeholders at the organisation.
The decisions made on the data platform architecture, technology and ways of working make it possible for everyone to work towards creating value in a consistent and agile way while sharing best practices with each other. This, in turn, has enabled a leap in productivity and alignment.
IT Director Data Platforms & Technology, Kesko
We can develop at an entirely different rate. In practice, the improvement is in multiple percentages. We previously saw development cycle turnarounds in weeks – now they happen in days.
Head of Data and Analytics, DNA (part of Telenor Group)
Now the data is a core part of the business: instead of monitoring, it is used to run and even create new business.
Head of Business Intelligence & Analytics, Matkahuolto
DataOps is a development methodology that combines processes and tools in order to continuously provide quality data products and analytics in time and with predictable costs.
Insights will provide a revolutionary way for data teams to gain deeper visibility into their work and data investments, enabling them to continuously enhance their performance and way of working, and deliver even greater business value to data users.
Pick our brains
Whether you're just getting started with a data transformation, are working to move from on-prem to cloud, or are curious to hear how we can help save you millions and grow your data warehouse's lifetime value, we're happy to chat!
Join our growing community of data enthusiasts.
DataOps and data warehousing in general are ever-evolving. Head over to our blog to stay up-to-date on how you can make yours more resilient and future-proof as possible!
Read on for perspectives on how Agile Data Engine helps business and IT departments improve their DataOps and take action to fix bottlenecks and issues.
Outlining Data Vault best practices - approaches for managing, structuring, and modeling data and data warehouses in complex, dynamic environments.
Data modeling as important as ever when you move your data warehouse from on-prem into the cloud - it's a crucial component of resilient data ops.