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{
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{
            
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  "author": "Franti\u0161ek Pavl\u00ed\u010dek",
2
  "author": "Franti\u0161ek Pavl\u00ed\u010dek",
            
3
  "author_email": "frantisek.pavlicek@clevermaps.io",
3
  "author_email": "frantisek.pavlicek@clevermaps.io",
            
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  "availability": "Upon request",
4
  "availability": "Upon request",
            
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  "category": "Human Mobility",
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  "category": "Human Mobility",
            
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  "coverage": "Germany",
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  "coverage": "Germany",
            
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  "creator_user_id": "e2185bb8-8a2a-457e-a273-2e757a7866d8",
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  "creator_user_id": "e2185bb8-8a2a-457e-a273-2e757a7866d8",
            
8
  "crs": "4326 (WGS84)",
8
  "crs": "4326 (WGS84)",
            
9
  "data_source": "https://www.lifesight.io/",
9
  "data_source": "https://www.lifesight.io/",
            
10
  "dataset_dimension": "Dataset",
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  "dataset_dimension": "Dataset",
            
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  "date_validity": "2023-01-01",
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  "date_validity": "2023-01-01",
            
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  "dimension": "",
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  "dimension": "",
            
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  "for_sale": "For sale",
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  "for_sale": "For sale",
            
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  "geometry": "Point",
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  "geometry": "Point",
            
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  "groups": [],
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  "groups": [],
            
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  "id": "dc2bf6ff-1799-48ed-bb9e-b8b016828932",
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  "id": "dc2bf6ff-1799-48ed-bb9e-b8b016828932",
            
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  "isopen": true,
17
  "isopen": true,
            
18
  "license_id": "cc-zero",
18
  "license_id": "cc-zero",
            
19
  "license_title": "Creative Commons CCZero",
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  "license_title": "Creative Commons CCZero",
            
20
  "license_url": "http://www.opendefinition.org/licenses/cc-zero",
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  "license_url": "http://www.opendefinition.org/licenses/cc-zero",
            
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  "lowest_granularity": "Not relevant",
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  "lowest_granularity": "Not relevant",
            
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  "maintainer": null,
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  "maintainer": null,
            
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  "maintainer_email": null,
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  "maintainer_email": null,
            
24
  "metadata_created": "2023-03-01T13:31:22.327670",
24
  "metadata_created": "2023-03-01T13:31:22.327670",
            
n
25
  "metadata_modified": "2023-03-30T13:30:58.702941",
n
25
  "metadata_modified": "2023-11-07T00:29:35.934579",
            
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  "name": "lifesight-mobility_raw_location_data_-_germany_factori",
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  "name": "lifesight-mobility_raw_location_data_-_germany_factori",
            
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  "notes": "This dataset contains the mobility data in Germany. The 
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  "notes": "This dataset contains the mobility data in Germany. The 
            
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data is gathered from partnered mobile apps & SDKs and is then 
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data is gathered from partnered mobile apps & SDKs and is then 
            
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aggregated and delivered as a daily feed. All data is anonymized. You 
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aggregated and delivered as a daily feed. All data is anonymized. You 
            
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can purchase data up to two years old.",
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can purchase data up to two years old.",
            
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  "num_resources": 1,
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  "num_resources": 1,
            
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  "num_tags": 5,
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  "num_tags": 5,
            
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  "organization": {
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  "organization": {
            
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    "approval_status": "approved",
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    "approval_status": "approved",
            
35
    "created": "2023-03-01T13:23:44.650948",
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    "created": "2023-03-01T13:23:44.650948",
            
n
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    "description": "Lifesight is a SaaS-based customer intelligence 
n
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    "description": "Factori is a SaaS-based customer intelligence 
            
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platform founded in 2017 that helps brands, retailers and agencies 
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platform founded in 2017 that helps brands, retailers and agencies 
            
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understand, reach and measure their customers at scale so they can 
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understand, reach and measure their customers at scale so they can 
            
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optimize media spend and make better business decisions.",
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optimize media spend and make better business decisions.",
            
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    "id": "9a10654c-1d5c-47bc-aeec-88c113c2ee47",
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    "id": "9a10654c-1d5c-47bc-aeec-88c113c2ee47",
            
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    "image_url": 
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    "image_url": 
            
n
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.com/wp-content/uploads/2019/08/Lifesight-Logo-Blue-1-Debjit-Sen.png",
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a1c839dc08252fd785a9/6323a39a21e499b37c4f76c2_factori-logo-light.svg",
            
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    "is_organization": true,
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    "is_organization": true,
            
n
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    "name": "lifesight",
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    "name": "factori",
            
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    "state": "active",
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    "state": "active",
            
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    "title": "Lifesight",
n
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    "title": "Factori",
            
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    "type": "organization"
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    "type": "organization"
            
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  },
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  },
            
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  "owner_org": "9a10654c-1d5c-47bc-aeec-88c113c2ee47",
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  "owner_org": "9a10654c-1d5c-47bc-aeec-88c113c2ee47",
            
n
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  "price_dataset_one_time": "60000",
n

            
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  "price_notes": "Price in USD for a yearly license. Payment monthly. 
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  "price_notes": "Price in USD without margin for a yearly license. 
            
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Also possible to acquire in packages for multiple countries or whole 
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Payment monthly. Also possible to acquire in packages for multiple 
            
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world.",
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countries or whole world.",
            
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  "private": false,
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  "private": false,
            
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  "relationships_as_object": [],
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  "relationships_as_object": [],
            
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  "relationships_as_subject": [],
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  "relationships_as_subject": [],
            
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  "resources": [
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  "resources": [
            
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    {
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    {
            
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      "cache_last_updated": null,
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      "cache_last_updated": null,
            
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      "cache_url": null,
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      "cache_url": null,
            
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      "ckan_url": "https://datacatalog.ps.cleveranalytics.com",
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      "ckan_url": "https://datacatalog.ps.cleveranalytics.com",
            
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      "created": "2023-02-17T17:00:08.134196",
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      "created": "2023-02-17T17:00:08.134196",
            
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      "datastore_active": true,
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      "datastore_active": true,
            
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      "datastore_contains_all_records_of_source_file": false,
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      "datastore_contains_all_records_of_source_file": false,
            
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      "description": "Data sample",
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      "description": "Data sample",
            
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      "format": "CSV",
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      "format": "CSV",
            
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      "hash": "4532da2d337eb1566535357ca010a900",
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      "hash": "4532da2d337eb1566535357ca010a900",
            
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      "id": "d6a6d911-471b-4e8d-9b34-3dfdeec16748",
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      "id": "d6a6d911-471b-4e8d-9b34-3dfdeec16748",
            
69
      "ignore_hash": true,
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      "ignore_hash": true,
            
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      "last_modified": null,
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      "last_modified": null,
            
71
      "map": 
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      "map": 
            
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ints_overview_view?token=he2w0Y3gnLF1hFKufYiw1xqUv7ZKNvidPFaMOwyr2e0",
71
ints_overview_view?token=he2w0Y3gnLF1hFKufYiw1xqUv7ZKNvidPFaMOwyr2e0",
            
t
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      "metadata_modified": "2023-03-30T13:30:58.706601",
t
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      "metadata_modified": "2023-11-07T00:29:35.938117",
            
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      "mimetype": null,
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      "mimetype": null,
            
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      "mimetype_inner": null,
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      "mimetype_inner": null,
            
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      "name": "Mobility data",
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      "name": "Mobility data",
            
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      "original_url": 
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      "original_url": 
            
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p://localhost/s3/data_partners/lifesight/factori_mobility_sample.csv",
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p://localhost/s3/data_partners/lifesight/factori_mobility_sample.csv",
            
79
      "package_id": "dc2bf6ff-1799-48ed-bb9e-b8b016828932",
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      "package_id": "dc2bf6ff-1799-48ed-bb9e-b8b016828932",
            
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      "position": 0,
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      "position": 0,
            
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      "resource_id": "d6a6d911-471b-4e8d-9b34-3dfdeec16748",
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      "resource_id": "d6a6d911-471b-4e8d-9b34-3dfdeec16748",
            
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      "resource_type": null,
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      "resource_type": null,
            
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      "s3link": 
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      "s3link": 
            
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aps-data-catalog/data_partners/lifesight/factori_mobility_sample.csv",
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aps-data-catalog/data_partners/lifesight/factori_mobility_sample.csv",
            
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      "set_url_type": false,
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      "set_url_type": false,
            
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      "size": null,
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      "size": null,
            
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      "state": "active",
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      "state": "active",
            
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      "task_created": "2023-03-16 10:56:56.573404",
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      "task_created": "2023-03-16 10:56:56.573404",
            
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      "url": 
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      "url": 
            
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p://localhost/s3/data_partners/lifesight/factori_mobility_sample.csv",
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p://localhost/s3/data_partners/lifesight/factori_mobility_sample.csv",
            
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      "url_type": null
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      "url_type": null
            
92
    }
91
    }
            
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  ],
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  ],
            
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  "state": "active",
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  "state": "active",
            
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  "tags": [
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  "tags": [
            
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    {
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    {
            
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      "display_name": "Germany",
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      "display_name": "Germany",
            
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      "id": "fcc49524-f678-4e13-932f-3895a199d68a",
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      "id": "fcc49524-f678-4e13-932f-3895a199d68a",
            
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      "name": "Germany",
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      "name": "Germany",
            
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      "state": "active",
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      "state": "active",
            
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      "vocabulary_id": null
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      "vocabulary_id": null
            
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    },
101
    },
            
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    {
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    {
            
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      "display_name": "Lifesight",
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      "display_name": "Lifesight",
            
105
      "id": "6dfa0ba5-bd0a-41f7-9f0a-c64088fabbb1",
104
      "id": "6dfa0ba5-bd0a-41f7-9f0a-c64088fabbb1",
            
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      "name": "Lifesight",
105
      "name": "Lifesight",
            
107
      "state": "active",
106
      "state": "active",
            
108
      "vocabulary_id": null
107
      "vocabulary_id": null
            
109
    },
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    },
            
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    {
109
    {
            
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      "display_name": "human mobility",
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      "display_name": "human mobility",
            
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      "id": "9c23286e-f6fe-4a7a-8153-b3f9fca6ac2f",
111
      "id": "9c23286e-f6fe-4a7a-8153-b3f9fca6ac2f",
            
113
      "name": "human mobility",
112
      "name": "human mobility",
            
114
      "state": "active",
113
      "state": "active",
            
115
      "vocabulary_id": null
114
      "vocabulary_id": null
            
116
    },
115
    },
            
117
    {
116
    {
            
118
      "display_name": "location data",
117
      "display_name": "location data",
            
119
      "id": "bb83dc99-b6e7-412c-9f7d-e15c0f86c377",
118
      "id": "bb83dc99-b6e7-412c-9f7d-e15c0f86c377",
            
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      "name": "location data",
119
      "name": "location data",
            
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      "state": "active",
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      "state": "active",
            
122
      "vocabulary_id": null
121
      "vocabulary_id": null
            
123
    },
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    },
            
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    {
123
    {
            
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      "display_name": "mobility data",
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      "display_name": "mobility data",
            
126
      "id": "d22dd249-4d5b-48c2-8b8f-927d6b496353",
125
      "id": "d22dd249-4d5b-48c2-8b8f-927d6b496353",
            
127
      "name": "mobility data",
126
      "name": "mobility data",
            
128
      "state": "active",
127
      "state": "active",
            
129
      "vocabulary_id": null
128
      "vocabulary_id": null
            
130
    }
129
    }
            
131
  ],
130
  ],
            
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  "title": "Mobility (raw location data) \u2013 Germany (Factori)",
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  "title": "Mobility (raw location data) \u2013 Germany (Factori)",
            
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  "type": "dataset",
132
  "type": "dataset",
            
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  "url": null,
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  "url": null,
            
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  "use_cases": 
134
  "use_cases": 
            
136
evermaps.io/site-evaluation,https://www.clevermaps.io/site-selection",
135
evermaps.io/site-evaluation,https://www.clevermaps.io/site-selection",
            
137
  "use_cases_description": "Learn about the typical characteristics of 
136
  "use_cases_description": "Learn about the typical characteristics of 
            
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your customer and find out the localities with high share of these 
137
your customer and find out the localities with high share of these 
            
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people to target new potential locations for your business.,Evaluate 
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people to target new potential locations for your business.,Evaluate 
            
140
your current network and find the locations with the best visibility, 
139
your current network and find the locations with the best visibility, 
            
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availability and performance based on data about population, exposure 
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availability and performance based on data about population, exposure 
            
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or purchasing power.,Locate the places with an insufficient coverage 
141
or purchasing power.,Locate the places with an insufficient coverage 
            
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based on data about population. Evaluate planned locations and find 
142
based on data about population. Evaluate planned locations and find 
            
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out straightaway what amount of people will you 
143
out straightaway what amount of people will you 
            
145
cover.,Evaluate\u00a0the retail potential of any address and measure 
144
cover.,Evaluate\u00a0the retail potential of any address and measure 
            
146
its attractiveness within its natural catchment area.\u00a0Choosing 
145
its attractiveness within its natural catchment area.\u00a0Choosing 
            
147
the right place for you business has never been easier.,Wondering 
146
the right place for you business has never been easier.,Wondering 
            
148
where to place your next branch, when you already have all the 
147
where to place your next branch, when you already have all the 
            
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important places in town covered? Find locations with undiscovered 
148
important places in town covered? Find locations with undiscovered 
            
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potential with location data.",
149
potential with location data.",
            
151
  "version": null,
150
  "version": null,
            
152
  "visualization": "Heatmap,Polygon,Grid"
151
  "visualization": "Heatmap,Polygon,Grid"
            
153
}
152
}