He has been involved in the broad field of IT for over 15 years. He has worked with companies in the financial, automotive, TLS, and telecommunications sectors. He believes that cloud solutions can unlock an organization’s potential and create innovative business models. He believes that the key to success is an open, ongoing dialogue between business and technology, which is why he focuses on building highly effective teams in his work.
|
6 min reading
How to assess data maturity in a leasing company: six dimensions of evaluation
Leasing companies have more and more data, reports, and BI tools, but they often lack a shared view of the customer, lease contract, risk, and portfolio. When teams work from different data definitions, decisions slow down, IT takes on the burden of reporting, and analytics and AI become difficult to scale. That is why this article presents six dimensions for assessing data maturity. They help bring structure to this area by identifying strengths, gaps, and priorities before the organization makes further investments in analytics and AI.
Paweł Jabłoński
