Discover the data analytics and data engineering trends of the future.
Companies just can’t afford not to become data-driven
WE GUIDE YOUR DATA JOURNEY
DATAPAO is a data engineering and data science consultancy, covering the entire data transformation journey including strategy, implementation, training, and innovation.
We specialize in cloud migration, data platform buildout, and ML model development.
CUSTOM DATA SERVICES BASED ON YOUR NEEDS
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WHAT WE DO
A senior architect dives deep to map out the challenges, risks and opportunities of your company’s data architecture.
The DATAPAO team will comb through your infrastructure, applying advanced analytics and know-how to identify patterns and make them work to achieve your goals.
WHAT YOU GET
Discovery gives you a 360-degree view of your data landscape, so you can protect and leverage it in a way that works for your needs.
- Develop a deep understanding of your data.
- Gather exhaustive information about problems.
- Detect bottlenecks and data silos.
- Combine data from multiple sources.
- Spot and resolve compliance and security issues.
- Find and unlock opportunities.
- See the bigger picture.
BUSINESS CHALLENGE? DATA IS THE ANSWER
DATAPAO created a next-level Wind Power Prediction solution for Hydro
The challenge: An existing local ML model had to be transformed into a scalable solution as part of a transformation pipeline. Previous solutions did not meet expectations.
DATAPAO lifted the wind power prediction system by transforming the single-core system to a scalable distributed solution and putting it into production at wind farms in Norway.
DATAPAO elevated Norsk Hydro’s data architecture by delivering meaningful solutions throughout our different industry verticals, such as Energy or Manufacturing. Besides implementation, they enable our colleagues as well to become Data Engineers.
Center of Excellence Program leads Data Democratization at a Global Energy Company
There is a constant and growing need for subject matter technology experts to leverage the full capability of Databricks and be able to derive insights from massive amounts of data from IoT and other sources.
We participated with our Data Engineers in the Center of Excellence to build applications and to enable experts at one of the largest energy companies globally to use AI workloads to optimize assets – and reduce carbon footprints.
With their flexibility, expertise, and Databricks' understanding, DATAPAO is a great asset helping to enrich and nurture the engagement between the energy company and Databricks.
Machine Learning on Azure Data Lake helps EGIS and its patients to get the right treatments
The challenge was to develop personalized treatment plans for people suffering from rheumatoid arthritis, a life-long disease whose multiple forms require varying treatments. Earlier, running such models for selecting better treatments would have taken many months on legacy systems.
DATAPAO led the implementation of the Azure platform and necessary applications. Thanks to this new data architecture, modeling and documentation could be accelerated dramatically. Faster and more accurate insights mean better treatments for patients.
DATAPAO was extremely open to joint experimentation, which was instrumental in being able to implement the whole approach quickly.