Indonesia Point of Interest (POI) Data, Building Polygons & Foot Traffic
收藏Snowflake2024-09-10 更新2024-09-11 收录
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**** dataplor's Indonesia Point of Interest dataset covers 19M+ businesses & services across the country, making it the most comprehensive location and business intelligence dataset available for Indonesia. dataplor's datasets are particularly valued for refreshing weekly.
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dataplor's unparalleled POI (Point of Interest) dataset is your key to navigating the dynamic market of Indonesia. Our data isn't just broad—it's hyper-local, granular, and tailored to empower businesses with actionable insights for success.
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**Key data attributes include:**
- Business name
- Business Category
- Product Category
- Address
- Latitude and longitude
- NAIC
- SIC
- H3 Index
- Phone number
- Website
- Opening hours
- Visitation metrics
- Building Polygon
- Popularity Indices
- Sentiment Indices, and more
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Whether you're a local startup or a multinational expanding your footprint, our data empowers you with:
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-Untapped Opportunities: Identify prime locations for your next retail store, restaurant, or branch office in bustling cities like Jakarta, Surabaya, or Bandung, or emerging hubs like Medan and Makassar.
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-Market Intelligence: Understand consumer behaviors and preferences in diverse regions like Java, Bali, Sumatra, and Kalimantan for strategic decision-making.
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-Competitive Edge: Gain a deeper understanding of your competition's presence and performance across Indonesia's islands.
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-Resource Optimization: Streamline logistics, delivery routes, and supply chain management for maximum efficiency, considering the unique challenges of Indonesia's geography.
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-Data-Driven Innovation: Develop targeted marketing campaigns, personalized customer experiences, and innovative solutions tailored to Indonesia's diverse cultural and economic landscape.
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We understand that every industry has unique data needs. Our comprehensive POI data fuels growth and innovation across:
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-E-commerce and Retail: Optimize delivery networks, understand consumer hotspots in major cities and rural areas, and plan strategic expansions in high-growth regions.
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-Financial Services: Strategically place ATMs, branches, and microfinance initiatives for maximum reach and impact, targeting both urban centers and underserved rural communities.
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-Tourism and Hospitality: Enhance the visitor experience by mapping attractions, identifying hidden gems across the archipelago, and understanding tourist movements in popular destinations like Bali, Yogyakarta, and Lombok.
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With dataplor's POI data, you're not just getting information—you're gaining a strategic advantage in one of the world's most dynamic markets.
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dataplor’s Point of Interest (POI) and mobility data offers a rich set of 55+ attributes that provide in-depth insights into each location.
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提供机构:
dataplor
创建时间:
2024-09-09
搜集汇总
数据集介绍

背景与挑战
背景概述
该数据集覆盖印度尼西亚全国1900多万个商业服务网点,包含名称、类别、位置等55+种属性信息,支持每周更新,为零售、金融、旅游等行业提供市场分析和选址决策支持。
以上内容由遇见数据集搜集并总结生成



