Implementing a large scale DW project with agile methods
Large scale implementation of data warehouse needs a team of agile developers. Read below how Ready Solution’s skilled consultants can help you to go live faster.
If is the leading property and casualty insurer in the Nordic region, with more than 3.7 million customers in the Nordic and Baltic countries.
Enterprise data warehouse
If data warehouse is developed on Teradata platform using an industry specific data model. If has large amounts of data in multiple operational systems so integrating it all to
a common data model provides huge benefits for the business amongst other:
- unified metrics
- source data for AI-development
- business analytics
Data warehouse captures the data at most detailed level possible and also keeps track of the version history of records via its bitemporal data model. Building a data warehouse on this scale is highly complex and Ready Solutions consultants played an important role in defining the specifications with the source system experts as well as implementing the data pipelines. Data is extracted from source systems mainly using IBM Infosphere DataStage.
When building the data warehouse we used Git and Azure DevOps to facilitate collaboration and version control. Work is done in multiple teams with members located in the Nordic countries. Scrum methodology is used to provide agile and fast development cycle.
What Kimmo Vuori, Head of Datawarehouse Solutions, thinks?
“Ready Solutions is an important and agile partner for us, working professionally and with high quality. We can trust their delivery capabilities and competence.”