Cracking the Data Modeling Code
Only 17% of banks rate themselves highly in their ability to extract value from data, analytics, and AI!
As data continues to expand, the reliance on outdated, ad-hoc data models has become unsustainable, eroding bank’s efficiency and ability to seize emerging opportunities. Banks must embrace modern, gold-standard data modeling practices that offer a unified framework for organizing, defining, and managing data.
This thought paper dives into the role of data modeling and best practices, adoption of BIAN standards, and the implementation of advanced data platforms. It serves as a comprehensive guide for banks aiming to establish a robust data infrastructure, enabling them to achieve data-readiness and fully leverage the potential of their data assets.
Why you should read this thought paper:
- Explore common pitfalls hindering your bank’s capability to manage and leverage data
- Dive deep into the key concepts of data modeling and its role in streamlining data management practices with key banking use cases
- Discover a strategic blueprint to successfully leverage data models at your bank alongside BIAN standards and key considerations
- Learn how a Next-Gen Banking Platform helps unleash the potential of data modeling with real-life success story
