Build your strategy
We are here to help you get more data-driven.
Background
Why you require a data strategy.Data roadmap
What are the major milestones and steps.Metrics
Which metrics you need to track to stay the course.Goals
What results your data strategy should deliver.Risk and success factors
How to ensure the project succeeds.Business case
What value will be unlocked.Budget estimates
What are the estimated costs for each activity.How Clients React
Assem Memon-Managing Director
Kweri explored possible data sources and validated their quality, which helped us make better business decisions.
Jappe van der Zwan-Head of Innovation Lab
Kweri’s expertise with data and digital prototyping increases the pace of innovation at NEN
Herzog Badenhorst-Operations Director
Kweri forecasted customer demand for our steel coils. This will enable us to make more data-driven decisions around production planning and inventory management.
Train your team
In this course you will gain knowledge on the process of data science and learn how to translate business challenges into analytical use cases.
Data essentials
1 presentation
- Models and metrics
- Data science workflows
- Technical challenges
Strategy essentials
1 presentation
- Innovation strategy
- Value propositions
- Business challenges
Data-driven value propositions
2 workshops
- In-person or via Miro
- Hands-on
Benefits
- Succesfully identifying data science use cases
- Mapping data science use cases to the value chain
- Prioritizing data science use cases
- Defining clear data goals and success criteria to assess solutions
- Create data-driven value propositions and define underlying assumptions