Data, Software Engineering, Digital
Multiple new data-as-a-service platforms
Navigating the client lifecycle can be difficult with data sitting across multiple databases across systems, geographies, and product lines. Therefore, there was a need to orchestrate and build a one-stop-shop platform which would provide a unified view of customers by aggregating all structured and unstructured data from inside and outside the organization.
A team of domain and data governance specialists, product managers, delivery managers and technical squads built multiple new data-as-a-service platforms for a MVP data asset to help our banking client with their data transformation requirement.
Through this platform, the unified data platforms provided targeted recommendations to the client’s front-line and improved client sales and engagement.
Creating a data analytics store to provide a unified view of customer data by aggregating and transforming all structured and unstructured data from inside and outside the client organization, all in one place.
The first step was understanding the modern data platform architecture best practices. Then identifying an enterprise target data architecture that fits with the legacy infrastructure and enterprise requirements around cloud and technology and defining a multi-year roadmap.
Navigating client lifecycles can be challenging and requests from business users for information from a data division are rarely straightforward. Hence, identifying, sourcing, and stitching the data together with a data façade that shielded the source complexity was a major client objective. Creating a self-service UI enables a more digital and efficient workflow.
We assembled a diverse team to build the MVP data asset. We successfully pulled 90 internal & external data sets across 6 functional domains into a single platform to enable customer lifecycle across the client organization and developed a one-stop-shop for end-users to access all insights and information needed globally.
We delivered a unified source of information, where users could discover, shop, and have timely, cost-effective data controls across all domains. Our platform delivered a predictable service level and improved data quality with reduced time to market for analytics use cases, helping our client build greater customer insights.
A unified view of customers is helpful to banks as it allows them to build greater customer insight and improve client engagement. Our team of experts worked across multiple new data-as-a-service platforms, presenting a holistic view of the client lifecycle to our client.
Credit Origination and Projects