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Turn raw location fields into analysis ready data with ease. Benefit from tools made especially for spatial data prep. Use data from multiple sources to enable, extract, transform, and enrich location values. Give data meaning when you put it into context of the real world.

Extract and prep


Clean, prep, and process data using spatial tools and open science libraries. Isolate your area of interest, minimize noise, and identify and correct imperfections by combining GIS, R, and Python.  

Location-enable your data


Begin exploratory analysis by transforming raw data tables and data frames into accurate maps with meaning.  Convert addresses, coordinates, lines, boundaries, and place names from structured and unstructured data. Gain address-level geocoding coverage for more than 130 countries and place-level coverage for other landmarks and cities. 

Enrich your data


In one easy step, join your data with Esri’s curated, global collection of demographic, psychographic, and socioeconomic data, with over 15,000 data variables from more than 130 countries. Esri Demographics datasets are updated regularly and offer a strong lineage, accuracy, and completeness. 

Access ready-to-use data and content


Thousands of spatial datasets are available at your fingertips. Leverage mobile-ready basemaps and high-precision imagery. Use out-of-the-box boundary and infrastructure data to build proactive models that include real-time weather, traffic conditions, and current events. 

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Case Study

Importance of accurate data


The Shopping Center Group, the leading U.S. retail-only real estate company achieved 30% revenue growth with market intelligence & customer analytics.

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