Services for all areas of a successful Analytics project
Data Strategy
All Analytics initiatives needs a clear strategy. Maybe you need to revise your current set up. Or you want to create a new road map to become a data driven organisation. We have decades of experience in these areas and we are convinced that every organization can utilise new concepts in order to work faster and more agile in their analytics initiatives.
Data Engineering
In order to become data driven, you need data. Data Engineering is where we centralize all your data in a common data store. It can be a cloud data lake or an on-premise data warehouse. Whatever works best in your data strategy. We work in agile projects with modern open-source tools to get that data in as efficient as possible.
Analytics Engineering
To have your data in a centralized data store is a great start on your journey. But in order to get the real effect of your data you need to model your data. Data needs a common format. Business rules have to be applied. We need to define Key Performance Indicators so that everybody in you organization have a unified view of how things are going, and your data needs to be visualized and accessible.
Data Science
When you have your KPIs all set it is time to make improvements. We have a great track record of implementing Machine Learning models that more then doubled the revenues in business areas without increasing costs. Forecasting models, attribution models, propensity to buy models. We know how to apply Machine Learning models without getting lost in the details and go really fast to producing real value.
