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Methodology

Our raw data comes from majorly
2 types of sources:
  • Open/Public data sources
  • Business websites
Once we acquire this data, we deploy our proprietary machine learning, natural language models along and other AI techniques to clean, merge, cross-validate, and curate these raw data from multiple data sources to generate our master data catalogue

Attributes

  • Population
  • Households
  • Gender
  • Age group
  • Income
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Methodology

Our raw data comes from majorly
2 types of sources:
  • Open/Public data sources
  • Business websites
Once we acquire this data, we deploy our proprietary machine learning, natural language models along and other AI techniques to clean, merge, cross-validate, and curate these raw data from multiple data sources to generate our master data catalogue

Attributes

  • Grocery & Hypermarkets
  • Electronic Apparel
  • Footwear
  • Furniture
  • Restaurants
  • Shopping malls & Centers
  • Wineshops
  • Sports
  • Jewellery
  • Hardware
  • Automobile dealership
  • Cosmetics
  • Gifting
  • Petcare
  • Petrol pumps
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Methodology

Our raw data comes from majorly
2 types of sources:
  • Open/Public data sources
  • Business websites
Once we acquire this data, we deploy our proprietary machine learning, natural language models along and other AI techniques to clean, merge, cross-validate, and curate these raw data from multiple data sources to generate our master data catalogue

Attributes

Data from mobile device & GPS data
  • Home location
  • work location
  • Mobile device info
  • Places visited
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Methodology

Our raw data comes from majorly
2 types of sources:
  • Open/Public data sources
  • Business websites
Once we acquire this data, we deploy our proprietary machine learning, natural language models along and other AI techniques to clean, merge, cross-validate, and curate these raw data from multiple data sources to generate our master data catalogue

Attributes

Offices buildings categorized
based on type of business
  • Business Name
  • Number of Employees
  • Industry
  • Business Type
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Methodology

Our raw data comes from majorly
2 types of sources:
  • Open/Public data sources
  • Business websites
Once we acquire this data, we deploy our proprietary machine learning, natural language models along and other AI techniques to clean, merge, cross-validate, and curate these raw data from multiple data sources to generate our master data catalogue

Attributes

  • Number of Apartments
  • Number of Units
  • Number of Floors
  • Number of Towers
  • Area
  • Price/sq.ft
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Methodology

Our raw data comes from majorly
2 types of sources:
  • Open/Public data sources
  • Business websites
Once we acquire this data, we deploy our proprietary machine learning, natural language models along and other AI techniques to clean, merge, cross-validate, and curate these raw data from multiple data sources to generate our master data catalogue

Attributes

  • Project location
  • Size
  • Number of units
  • Possession date
  • Number of Units sold
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Methodology

Our raw data comes from majorly
2 types of sources:
  • Open/Public data sources
  • Business websites
Once we acquire this data, we deploy our proprietary machine learning, natural language models along and other AI techniques to clean, merge, cross-validate, and curate these raw data from multiple data sources to generate our master data catalogue

Attributes

  • Restaurant locations
  • Avg. price for 2 Cuisine
  • Category & sub-category
  • Dine-in / Delivery
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Methodology

Our raw data comes from majorly
2 types of sources:
  • Open/Public data sources
  • Business websites
Once we acquire this data, we deploy our proprietary machine learning, natural language models along and other AI techniques to clean, merge, cross-validate, and curate these raw data from multiple data sources to generate our master data catalogue

Attributes

  • Residential rentals rates
  • Rental trends
  • Residential sale pricing
  • Residential sale pricing trends
  • Commercial retail leasing rates & trends
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Methodology

Our raw data comes from majorly
2 types of sources:
  • Open/Public data sources
  • Business websites
Once we acquire this data, we deploy our proprietary machine learning, natural language models along and other AI techniques to clean, merge, cross-validate, and curate these raw data from multiple data sources to generate our master data catalogue

Attributes

Banks, NBFCs, Insurance companies
targeting different industries
  • ATMs
  • General insurance
  • Housing
  • Agricultural
  • Automobile
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Methodology

Our raw data comes from majorly
2 types of sources:
  • Open/Public data sources
  • Business websites
Once we acquire this data, we deploy our proprietary machine learning, natural language models along and other AI techniques to clean, merge, cross-validate, and curate these raw data from multiple data sources to generate our master data catalogue

Attributes

  • Hospitals
  • Clinics
  • Diagnostic centers
  • Pharmacy
  • Opticians
  • Ayurveda & Homeopathic Stores
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Methodology

Our raw data comes from majorly
2 types of sources:
  • Open/Public data sources
  • Business websites
Once we acquire this data, we deploy our proprietary machine learning, natural language models along and other AI techniques to clean, merge, cross-validate, and curate these raw data from multiple data sources to generate our master data catalogue

Attributes

  • Gyms & fitness centers
  • Yoga centers
  • Spas & Wellness centers
  • Salons
  • Beauty & makeup salons
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Methodology

Our raw data comes from majorly
2 types of sources:
  • Open/Public data sources
  • Business websites
Once we acquire this data, we deploy our proprietary machine learning, natural language models along and other AI techniques to clean, merge, cross-validate, and curate these raw data from multiple data sources to generate our master data catalogue

Attributes

  • Bus stops
  • Railway & Metro stations
  • Airports
  • Post office
  • Places of worship
  • Police stations
  • Cemetery
  • Courts
  • Fire station
  • Public toilets
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Methodology

Our raw data comes from majorly
2 types of sources:
  • Open/Public data sources
  • Business websites
Once we acquire this data, we deploy our proprietary machine learning, natural language models along and other AI techniques to clean, merge, cross-validate, and curate these raw data from multiple data sources to generate our master data catalogue

Attributes

  • Kindergartens
  • Pre-schools
  • Schools
  • Colleges
  • Coaching Centers
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Methodology

Our raw data comes from majorly
2 types of sources:
  • Open/Public data sources
  • Business websites
Once we acquire this data, we deploy our proprietary machine learning, natural language models along and other AI techniques to clean, merge, cross-validate, and curate these raw data from multiple data sources to generate our master data catalogue

Attributes

  • Hotels & Resorts
  • Movie Theaters
  • Museums
  • Tourist attractions
  • Parks
  • Stadiums
  • Playgrounds
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Methodology

Our raw data comes from majorly
2 types of sources:
  • Open/Public data sources
  • Business websites
Once we acquire this data, we deploy our proprietary machine learning, natural language models along and other AI techniques to clean, merge, cross-validate, and curate these raw data from multiple data sources to generate our master data catalogue

Attributes

Crime Statistics
  • Against women
  • Against children
  • Cyber crimes
  • Juvenile crimes
  • IPC crimes
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Methodology

Our raw data comes from majorly
2 types of sources:
  • Open/Public data sources
  • Business websites
Once we acquire this data, we deploy our proprietary machine learning, natural language models along and other AI techniques to clean, merge, cross-validate, and curate these raw data from multiple data sources to generate our master data catalogue

Attributes

Normalized Indices created by Spatic
based on combination of above data
  • Affluence index
  • Connectivity Index
  • Vibrancy index
  • Education index
  • Retail Index
  • Footfall Index

Data Catalogue & Enrichment APIs

Access our Spatial Data Catalog & real time APIs to discover 100+ location attributes that can enrich your data analysis & decisions
Book a DemoTry for free
Spatic's Data catalog provides access to 100+ location attributes ranging from places, demography, GPS data through APIs

Categories

Demography

Population, Households, Gender, Age group, Income
Read more

Retail

Grocery & Hypermarkets, Electronic, Apparel, Footwe...
Read more

Human Mobility

Data from mobile device & GPS data to understand foo...
Read more

Office Buildings

Offices buildings & businesses categorized based on typ...
Read more

Residential Buildings

Residential apartments, Units, Floors, Towers, Area, Price...
Read more

Upcoming Projects

Upcoming residential project locations, size, units, Possess...
Read more

Restaurants

Restaurant locations, Avg. price for 2, cuisine, branche...
Read more

Real Estate

Residential rentals, rental price trends, property sale p...
Read more

Finance

ATMs, Banks & NBFCs of all industries (be it general, life...
Read more

Healthcare

Hospitals, Clinics, Diagnostic centers - along with speciali...
Read more

Fitness & Personal Care

Gyms & fitness centers, Yoga centers, Spas & Wellness ce...
Read more

Infrastructure

Bus stops, Railway & Metro stations, airports, Post offic...
Read more

Education

Kindergartens, Pre-schools, Schools (Primary/secondar...
Read more

Leisure

Hotels & Resorts, Movie Theaters, Museums, Touris...
Read more

Safety

Crime statistics converted
to a score
Read more

Spatic’s Indices

Normalized Indices created by Spatic based...
Read more

Key Use Cases

Market Intelligence

Combine your business performance data with real time hyperlocal data,  upcoming developments & competitor activity to stay ahead of competition

Real estate & Hospitality

Assist your customers in the purchase/booking decision by showing them the presence of relevant places of interest around your properties

Risk assessment

Enrich your risk assessment models with real time location data to add valuable dimensions

Customer segmentation

Enrich your customer data with external consumer behaviour & affinity data at a location level to create more accurate customer segmentations & tailor your OOH marketing promotions

Contact us

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Representation of Retail density distribution of Hyderabad on Spatic Studio
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