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Data analytics

NORMALIZATION & GEOCODING

Separates postal address data into the following fields: type of road, name, number, complements, postal code and size of population.

Incorporates the correct updated postal code according to town, road and number.

Assigns geographic coordinates using automatic processes of cross-tabbing and extraction of results from two geocoding services.

DATABASE ENRICHMENT

Indexes with an alphanumeric key according to the name and address of each record.

Identifies existing duplicate records and separates these. Indicates the degree of similarity between records identified as duplicates.

Cross-tabs by NIF / VAT No. and / or addresses the client’s own databases with external databases of companies, self-employed persons, socio-demographic profiles, cadastre and availability of real estate, among other categories, all continuously updated.

Data analytics
Data analytics

DATABASE SALES

inAtlas has a list of datasets available for sale

  • Marketing: Daily updated marketing data. Companies and freelancers.
  • Marketing-Finance: Daily updated marketing and financial data. Companies and freelancers.
  • Population: Population database. Average household expenditure and average income.
  • Insurance Market: Geolocated insurance databases.
  • Cadastre: Enriched databases of plots, buildings and constructions.
  • Real Estate: Geolocated housing and premises for rent and sale. Surface and price.
  • Oil Sector: Geolocated gas stations. Prices and brands.
  • Traffic DB: Car fleet and Average Traffic Intensity.
  • Education: Geolocated educational institutions. Spain.
  • Tourism: Geolocated tourist accommodation. Beds number, occupancy rate, etc.

PREDICTIVE ANALYTICS

We design customized, online-generated location reports, with continuously updated information and KPIs available at your fingertips

On demand reports with customized indicators that fit perfectly with your requirements:

  • Name, tax number and industry, turnover and geolocation
  • Business demography
  • Competitors
  • Ranking of activity sectors
  • Comercial mix and services
  • GLA/ Gross Leased Area
  • Consumer market: residents and workers
  • Expenditure per person (12 commodities) in an area of influence
  • Socioeconomic status and education
  • Indicators of real estate prices
Data analytics