Dataplor

Dataplor

Dynamically updated global POI data for improved location intelligence and data-driven decisions.

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$20.5m

Series B
Total Funding000k
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Dataplor is a cutting-edge data analytics startup that specializes in providing highly accurate Points of Interest (POI) and territory data on a global scale. The company serves a diverse range of clients, including businesses, investors, and market analysts, who require precise and actionable data to make informed decisions. Operating in the geospatial analytics market, dataplor stands out by offering advanced qualitative Key Performance Indicators (KPIs) that go beyond traditional data metrics.

The business model of dataplor revolves around enriching existing systems with accurate POI data, enabling clients to discover where their products are sold globally in near real-time. This allows businesses to map out the competitive landscape and stay ahead of evolving consumer demand. By leveraging its industry-leading Quality Control (QC) process, dataplor ensures that the data provided is reliable and can be used for accurate business forecasting.

Dataplor makes money by selling its data and analytics services to businesses and investors who need to understand market trends, identify emerging opportunities, and make strategic decisions. The company’s data-driven insights help clients recognize areas with strong brand growth, which can be positive indicators of future success. Additionally, by monitoring competitors' expansion and business strategies, dataplor provides valuable intelligence that can drive results and inform market entry strategies.

The company’s commitment to customer-centricity is evident in its approach to shaping its services around the needs of early adopters and continuously evolving to solve real-world challenges. With a team of world-class data specialists, dataplor remains dedicated to delivering exceptional global data that supports effective investment decisions and sustainable growth strategies.

Keywords: POI data, geospatial analytics, business forecasting, market trends, competitive landscape, investment decisions, brand growth, customer-centric, data specialists, global scale.

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