Our way of working

RevoData supports you. In developing your data strategy, in building your data platform and in training your people.

Troubleshooting and
continuous improvement

Our systematic approach works best when we work together as one team. Together, we put in place the right Data & AI solutions with the aim of training your team and enabling them to then develop it further themselves.

We of course continue to support in the background.
You are not alone.

Philosophizing together about what the future might look like.
  • Establishing hypotheses and what you expect to find in the data.
  • Does this data already exist or does it need to be created?
  • Defining actions to be taken based on the insights gained.
  • Establishing value; also called the business case.
Service: Value Assessment
The underlying infrastructure and operational controls do not need to be built and maintained - we do this for you:
  • Less operational overhead
  • Better scalability
  • Cost Savings
  • Greater flexibility
  • Better security
Service: Managed Data Platform
1. Design
Preparation of a design and detailed plan for implementation of a data initiative.
  • Identifying data sources
  • Defining the data structure
  • Determine how the data will be transformed and stored
  • Work out how data is used within your company
2. Build
Build the data project components planned in the design phase:
  • Use reusable components from RevoData
  • Develop Data Pipelines and AI models for your application
  • Measuring & improving data quality
Service: POC-in-a-Box
3. Test
Ensuring that the data platform operates correctly and meets the requirements established in the design phase.
  • Checking that data is correctly transformed and loaded
  • Testing the applications and tools that have been developed
  • Identify and resolve any issues before the project is rolled out
4. Deploy
Ensuring that the data platform is ready to use and accessible to your people.
  • Putting the data platform into production and making it available to your employees
  • Providing user documentation
  • Training your people
  • Guiding the change to a data-driven organization
Service: Managed Data Platform
5. Review
Assess whether the data platform meets its stated objectives
  • Collecting feedback from users to identify any problems or areas for improvement
  • Make any necessary adjustments to the data platform
  • Establish follow-up steps to maximize value