사례 연구
Enhancing branch digital transformation for an Indonesian commercial bank with location analytics
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Disover how ADA’s analytics expertise guides Indonesian banks to identify strategic branch locations, navigating a competitive landscape with insights.
As Indonesia’s banking landscape grew more competitive, the client needed to find their competitive edge to continue growing in times of critical uncertainty.
The client turned to ADA to leverage our data analytics expertise to evaluate several key locations to determine the presence and distribution of Syariah banking competitors. In addition, our heatmap enables our client to optimise the blueprint of their branches for the next 5 years.
We were able to draw fundamental information to assess location opportunities for customer profiling: Audience Movement, Area Density, Competitive Intensity.
We identified unpenetrated “hotspots” by using the customer and Point of Interest (POI) filters to validate the branch model and identify a new location with minimal competition.
Besides identifying the underserved areas for a new branch concept, we also assessed competitive intensity and uncovered underserved hotspots for the right branch mix.
Using heatmap, we determined whether its several existing branches can be retained, or if a new branch or relocation would be necessary.
Split into 8 different regions with multiple filters, e.g., home vs. footfall density, segment, age, affluence, and more were applied to verify the customer behaviour of a particular location.
The Commercial Dashboard enables the client to choose multiple variables on province and industry type, with colour-concentration intensity.
Displays the density of the client’s customer in particular areas based on customer segments such as company/merchants/premier customers with activity status (dormant vs. active).


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M1 needed to rethink how customers pre-ordered the Samsung Galaxy S25. The traditional experience of long queues, complex forms, and multiple customer service calls wasn't delivering the seamless journey their customers expected from a leading Singapore telco.
As Indonesia’s banking landscape grew more competitive, the client needed to find their competitive edge to continue growing in times of critical uncertainty.
The client turned to ADA to leverage our data analytics expertise to evaluate several key locations to determine the presence and distribution of Syariah banking competitors. In addition, our heatmap enables our client to optimise the blueprint of their branches for the next 5 years.
We were able to draw fundamental information to assess location opportunities for customer profiling: Audience Movement, Area Density, Competitive Intensity.
We identified unpenetrated “hotspots” by using the customer and Point of Interest (POI) filters to validate the branch model and identify a new location with minimal competition.
Besides identifying the underserved areas for a new branch concept, we also assessed competitive intensity and uncovered underserved hotspots for the right branch mix.
Using heatmap, we determined whether its several existing branches can be retained, or if a new branch or relocation would be necessary.
Split into 8 different regions with multiple filters, e.g., home vs. footfall density, segment, age, affluence, and more were applied to verify the customer behaviour of a particular location.
The Commercial Dashboard enables the client to choose multiple variables on province and industry type, with colour-concentration intensity.
Displays the density of the client’s customer in particular areas based on customer segments such as company/merchants/premier customers with activity status (dormant vs. active).
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