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Building Data Clarity for a Lending Network

Building Data Clarity for a Lending Network

A complete BI setup and custom dashboard system designed to help a large lending organization access key metrics and make faster decisions.

Industry

Financial Services NBFC

Financial data visualization

Project Objective

The primary objective was to create a simple, dependable, and data-backed environment that allowed business teams and leadership to:

Review performance metrics without relying on manual reporting

Access dashboards tailored to their roles

Track trends across regions smoothly

Strengthen data adoption across the organization

Challenge

Requirement for a Practical BI Foundation

They needed a reliable BI setup that could pull accurate data from existing systems and present it in a clear format, without complex training or heavy management overhead.

Need for a Custom Dashboard Application

A generic BI tool alone couldn’t meet the specific requirements of leadership and risk teams. A dedicated metrics application was needed to highlight exactly the data points relevant to decision-makers.

Users With Mixed Digital Literacy

Many team members across regions were not comfortable with complicated dashboards. The solution had to be simple, direct, and easy to navigate for all departments.

Services Provided

BI Setup Using Apache Superset

We implemented an open-source BI framework that allowed teams to view essential data with ease. This included:

Connecting Superset to existing data systems

Preparing dashboards for business and branch-level teams

Setting up role-based permissions

Enabling users to explore and filter data without technical support

Custom Metrics Application

A separate web application was developed for leadership teams who needed quicker access to core metrics. This included:

A simplified, clutter-free dashboard interface

Integration with the organization's live data sources

A module-based view for performance, risk, operations, and collections

Clear visual structures for faster interpretation

Tech Stack

Apache Superset

SQLAlchemy

PostgreSQL / MySQL

Node.js

Python

Nginx

Our Approach

Understanding the Reporting Patterns

We started by mapping the existing reporting methods, understanding what each team needed, and identifying gaps in their current workflow.

Selecting the Right BI Direction

Apache Superset was chosen as the core BI tool due to its flexibility and cost efficiency. We ensured the tool aligned well with the client’s existing databases and internal processes.

Creating Dashboards for Everyday Use

The BI dashboards were built with a focus on clarity and quick understanding. Each dashboard displayed only what the respective team needed nothing excessive or complex

Building a Separate Application for Leadership

Instead of adjusting Superset extensively, we built a custom web app specifically for leadership teams, giving them a direct view of the most relevant performance indicators.

Seamless Data Integration

Our team connected all tools with the organisation’s current data sources, avoiding any major infrastructure change.

Ensuring Team Adoption

We conducted training sessions, provided documentation, and created a clean UI to ensure every user whether technical or non-technical could comfortably work with the system.

Impact & Results

Faster Access to Information

Teams could view data instantly instead of waiting for manual reports.

Clear Visibility Across Regions

Leadership received a focused view of KPIs that mattered most to their role, creating consistency in decision-making.

Improved Data Usage Across Departments

More teams started using dashboards regularly as the interfaces were simple to understand.

Cost-Efficient BI Setup

By using an open-source BI tool plus a lightweight custom application, the organisation built a strong BI foundation without unnecessary expenses.

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