Providing spatial analytics and geospatial tools equipped with maps visualization, enhances decision-making by analyzing hot zone area, potential area, competition landscape, and another tailored services. It enables businesses to streamline operations, improve customer experiences, and drive strategic growth efficiently.
Big Data Place of Interest (POI) maps provide coordinates, along with POI type, category, and name, giving you a comprehensive view of key locations.
Whether analyzing business hotspots, optimizing store placements, or mapping out competitor presence, these insights help you make smarter, location-driven decisions. Navigate the market with data-powered accuracy!
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Coverage
More than 80 cities nationwide
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More than 200,000 Locations
Various groups and categories of POI
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10 Groups
Attraction, Auto Service, Food & Beverage, Health Care, Office, Place of Worship, Residence, Retail, Transportation, School.
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53 Categories
Kindergarten, Public and Private Elementary Schools, Public and Private Junior High Schools, Public and Private High Schools, Public and Private University/Academy, Government Office, Private Office, Wet Market, Minimarket, Supermarket, Mall, etc.
Big Data Building Maps provide detailed area insights for each building, enriched with location attributes from province to sub-district, and offer aggregated data at the city level.
This powerful visualization helps businesses, urban planners, and researchers analyze distribution, optimize planning, and unlock new opportunities with precision. Turn location data into strategic advantage!
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Coverage
More than 500 cities & 38 Provinces
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Number of building shape
More than 92M building shape
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With over 50% of the country's buildings, three provinces dominate the landscape.
- Jawa Timur more than 19M building
- Jawa Tengah more than 15M building
- Jawa Barat more than 15M building
This massive concentration highlights key growth hubs, infrastructure density, and booming urban development. The numbers speak—Java is the heart of Indonesia’s built environment!
This strategy for branch expansion and optimization follows three key steps:
- Identifying potential areas using geo-demographic data, sales performance, and distribution metrics;
- Analyzing the competitive landscape to understand competitor distribution and outlet strategies; and
- Optimizing branches by defining new expansion areas while enhancing existing locations to maximize market potential. This data-driven approach ensures strategic growth and improved market reach.
Identifying a potential area involves analyzing geo-demographic data, place of interest and others significant aspects such as sales performance to pinpoint the best market opportunities.
By integrating geographic mapping and location-based data with Business Intelligence (BI) and enterprise applications, businesses can develop stronger strategic and tactical decisions.
This approach ensures precise resource allocation, targeted customer engagement, and optimized market expansion for maximum impact.
Success isn’t just about where you are—it’s about where your competitors are, too! Analyzing competitor distribution and outlet strategies helps identify gaps, strengths, and opportunities for expansion or optimization.
By understanding market saturation, customer reach, and strategic positioning, businesses can stay ahead, make data-driven moves, and dominate the market!
Analyze competitor distribution and outlet strategy for expansion or optimization strategy. As example, JNE Arif Rahman has the highest number of competitors within 1 Km radius, 19 competitor outlets
Branch optimization is all about identifying the best expansion areas while enhancing existing locations to capture untapped market potential.
By leveraging data-driven insights, businesses can strategically expand, boost performance, and stay ahead of the competition. Grow smarter, not just bigger!
The recommendation areas for branch optimization ranging of the area that has medium to high potential area and medium to high competition level.
As example, there are 16 recommendation areas in Depok for branch optimization
