Areas of Expertise
We build big data environment from scratch.
Our Data Engineering Team at Mindberg.ai delivers a comprehensive Big Data Project where we;
Assess and modernize your big data infrastructure,
Create or enrich area-specific analytical datamarts for your business needs (credit risk, digital, marketing, credit bureau, etc.),
Create data pipelines for ongoing modeling and BI operations,
Build automated machine learning data and modeling schemas,
Support you in embedding big data engineering teams into business units while remaining 100% compliant with IT’s Software Development Lifecycle requirements,
Help you recruit and operationalize big data engineering teams, prepare their career paths based on a capability matrix, and structure a continuous training program.
We are pioneers in Credit Risk Modeling
Create the necessary environment to initiate credit scoring for new financial institutions with no or low number of customers,
Offer our modeling and optimization expertise covering the entire credit life cycle, from application fraud to customer management, collection, and recoveries.
We deliver platform-agnostic modeling with regulatory-compliant documentation
We deliver predictive modeling in a platform-agnostic way so they can implement it on any system, whether on-premise or on the cloud, without programming language limitations.
Our Modeling document includes all the chapters that independent validators and regulatory authorities seek to see, including the tasks completed at each phase of the model development, modeling details, validation controls implemented, user acceptance test results, and backtesting results where applicable.
We see the Monitoring Dashboard as an inseparable part of our modeling deliverables
A model is doomed to remain on the shelf unless the user group can see the business impact. We deliver a Full Modeling Package that includes not only technical information but also monitoring reports and dashboards as a service (or coded into your preferred BI tool) where the user can:
Track the model's technical and business outcomes after it is launched.
See its impact on key business metrics such as NPL rate, Win Rate, RAROC, and profitability.
