At the Stage-Mart data maturity level, at least one strong user is demanding reliable output from the BI solution. This leads to the creation of the mart layer, where the automation can be planned and also it allows better automation of the output generation in the same structure all the time.

Creation of the mart layer of the already existing “automated” stage layer starts to require regular effort that helps to reason the existence of a dedicated team within the organisation.

Increased usage of the solution requires a dedicated solution to orchestrate the ETL process throughout the solution. First formal OLA/SLA start to be defined, as there are more users and delays start to occur due to not defined priorities. As more units/users are involved, demands for more formal change management including test/dev environments increase in number.

Increased usage also triggers the interest of security officers with regard to data security and data lineage. The visualisation tool is formalised and automated to produce the outputs (reports) on regular basis. Access management becomes a topic with the increase in the number of users and outputs.

What you have

  • A dedicated team to take care of the solution
  • An increasing number of users require your services
  • A dedicated mart level database to enable automation of the output preparation
  • A model of the data mart structures to describe how you transform the data
  • An emerging change management process to deliver new features to multiple main stakeholders
  • First data quality checks based on business definitions

What you need

  • To have a visualisation tool to bring even more added value to your users
  • To reconcile some numbers on the output, because your users started to compare their numbers and they found differences
  • To dedicate some time to support the users, but only when there is time
  • To take care of security, as the access management is getting more complicated
  • A central point where you can display data model and other metadata to users

We will help you with the solution

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About PROFINIT

Est. 1998
Mature capabilities,
Sustainable delivery processes,
Innovative approach
Technical delivery staff and project managers
650+
€38.4
mil.
At the end of 2023, company turnover totalled 38.4 million Euro
Our main clients include banking, insurance and telecommunications companies in Europe
Finance
& Telco
AI Assistant for Raiffeisenbank
Profinit dramatically aided the bank’s improvement of operational efficiency.

Raiffeisenbank turned to its partner, Profinit, to leverage its experience and expertise in AI and machine learning. Together, they developed an AI assistant that enhances productivity in the bank’s Back Office support activities. Read the full case study.

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