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Home/B2B Data/Company Data/Manufacturing Company Data/
Competitive Intelligence Data for Manufacturing & Industrial Companies
Competitive Intelligence Data for Manufacturing & Industrial Companies
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Competitive Intelligence Data for Manufacturing & Industrial Companies

Predik Data-driven
4.2(3)Badge iconVerified Data Provider
Contact Provider Save for later
Data Samples
PREDIK_DataDriven_competitive_intelligence_sample.csv vehicledata_UK_PREDIK.csv
#
relation_intensity
company_likeliest_relation
company_name
company_category
company_website_domain
company_linkedin_category
company_linkedin_subcategory
company_address
company_city
company_county
company_state
company_latitude
company_longitude
company_area_sqft
company_naics
company_naics_2d
company_naics_4d
company_naics_6d
1 xxxxxxxxxx Xxxxxxxxx xxxxxx xxxxxxxxxx Xxxxx Xxxxxx Xxxxxxxxxx Xxxxxx Xxxxxxxxx Xxxxxxxxxx xxxxxxxxx Xxxxxxxxx xxxxxxxxx Xxxxxxx xxxxxx Xxxxx xxxxxxxxxx xxxxxx
2 Xxxxxxxxxx xxxxxx Xxxxx Xxxxxx xxxxx xxxxxxxx xxxxxxx Xxxxx Xxxxxxxx xxxxxxxxxx xxxxxx Xxxxxxxxx xxxxxx Xxxxxxxxx Xxxxxxxxx xxxxxxxxxx Xxxxxx Xxxxx
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... Xxxxxxxxx xxxxx Xxxxxxx xxxxxxxxxx Xxxxxxxxx Xxxxxxxx xxxxxxxxxx xxxxxxx Xxxxxxxx xxxxx Xxxxxx xxxxxx xxxxxxxx xxxxxxx Xxxxx Xxxxxxxxx Xxxxx Xxxxxxx
Sign In To Preview Data
#
road_id
unique_vehicles
avg_vehicle_speed
unique_vehicles_morning
unique_vehicles_afternoon
unique_vehicles_evening
unique_vehicles_dawn
unique_vehicles_monday
unique_vehicles_tuesday
unique_vehicles_wednesday
unique_vehicles_thursday
unique_vehicles_friday
unique_vehicles_saturday
unique_vehicles_sunday
unique_vehicles_monday_morning
unique_vehicles_monday_afternoon
unique_vehicles_monday_evening
unique_vehicles_monday_dawn
unique_vehicles_tuesday_morning
unique_vehicles_tuesday_afternoon
unique_vehicles_tuesday_evening
unique_vehicles_tuesday_dawn
unique_vehicles_wednesday_morning
unique_vehicles_wednesday_afternoon
unique_vehicles_wednesday_evening
unique_vehicles_wednesday_dawn
unique_vehicles_thursday_morning
unique_vehicles_thursday_afternoon
unique_vehicles_thursday_evening
unique_vehicles_thursday_dawn
unique_vehicles_friday_morning
unique_vehicles_friday_afternoon
unique_vehicles_friday_evening
unique_vehicles_friday_dawn
unique_vehicles_saturday_morning
unique_vehicles_saturday_afternoon
unique_vehicles_saturday_evening
unique_vehicles_saturday_dawn
unique_vehicles_sunday_morning
unique_vehicles_sunday_afternoon
unique_vehicles_sunday_evening
unique_vehicles_sunday_dawn
vehicle_speed_morning
vehicle_speed_afternoon
vehicle_speed_evening
vehicle_speed_dawn
vehicle_speed_monday
vehicle_speed_tuesday
vehicle_speed_wednesday
vehicle_speed_thursday
vehicle_speed_friday
vehicle_speed_saturday
vehicle_speed_sunday
vehicle_speed_monday_morning
vehicle_speed_monday_afternoon
vehicle_speed_monday_evening
vehicle_speed_monday_dawn
vehicle_speed_tuesday_morning
vehicle_speed_tuesday_afternoon
vehicle_speed_tuesday_evening
vehicle_speed_tuesday_dawn
vehicle_speed_wednesday_morning
vehicle_speed_wednesday_afternoon
vehicle_speed_wednesday_evening
vehicle_speed_wednesday_dawn
vehicle_speed_thursday_morning
vehicle_speed_thursday_afternoon
vehicle_speed_thursday_evening
vehicle_speed_thursday_dawn
vehicle_speed_friday_morning
vehicle_speed_friday_afternoon
vehicle_speed_friday_evening
vehicle_speed_friday_dawn
vehicle_speed_saturday_morning
vehicle_speed_saturday_afternoon
vehicle_speed_saturday_evening
vehicle_speed_saturday_dawn
vehicle_speed_sunday_morning
vehicle_speed_sunday_afternoon
vehicle_speed_sunday_evening
vehicle_speed_sunday_dawn
road_geometry
1 xxxxxxxxxx Xxxxxxxxx xxxxxx xxxxxxxxxx Xxxxx Xxxxxx Xxxxxxxxxx Xxxxxx Xxxxxxxxx Xxxxxxxxxx xxxxxxxxx Xxxxxxxxx xxxxxxxxx Xxxxxxx xxxxxx Xxxxx xxxxxxxxxx xxxxxx Xxxxxxxxxx xxxxxx Xxxxx Xxxxxx xxxxx xxxxxxxx xxxxxxx Xxxxx Xxxxxxxx xxxxxxxxxx xxxxxx Xxxxxxxxx xxxxxx Xxxxxxxxx Xxxxxxxxx xxxxxxxxxx Xxxxxx Xxxxx xxxxxx xxxxxxx xxxxxxx Xxxxx xxxxxx Xxxxxxxxxx xxxxxxxx xxxxxx Xxxxx Xxxxxxx xxxxxx Xxxxxxxx Xxxxxxx Xxxxx xxxxxx xxxxxxxxxx Xxxxx xxxxxxxxxx xxxxxxxxx Xxxxxxx xxxxxxxx xxxxxxxx Xxxxxxxxxx Xxxxxxxx Xxxxxxxx xxxxxxxxx Xxxxxxxxxx Xxxxxx Xxxxxxxxx xxxxx xxxxxxx xxxxxxxxx Xxxxxx Xxxxxxx Xxxxxxxxx xxxxxxxxx xxxxxxxxx Xxxxx xxxxxxxx Xxxxxxx xxxxxxxxx Xxxxxxx xxxxx Xxxxxxx xxxxxxx Xxxxx
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3 xxxxxxxxx xxxxxxx xxxxxxxxx Xxxxxxxxxx xxxxxxxxx Xxxxx Xxxxx Xxxxxxxxx xxxxxxxxxx xxxxxx xxxxxxxxx xxxxxxx Xxxxxxx Xxxxxxxxxx Xxxxxxxxxx Xxxxxxxx Xxxxxxxxx xxxxx Xxxxxxx xxxxxxxxxx Xxxxxxxxx Xxxxxxxx xxxxxxxxxx xxxxxxx Xxxxxxxx xxxxx Xxxxxx xxxxxx xxxxxxxx xxxxxxx Xxxxx Xxxxxxxxx Xxxxx Xxxxxxx Xxxxxxxx xxxxxxxxx xxxxxxxx xxxxx Xxxxxxxxxx Xxxxxxx xxxxxxxxx xxxxxxx xxxxxxxxxx xxxxxx xxxxx Xxxxxxxxxx Xxxxxxxxx xxxxxxx Xxxxxx Xxxxx Xxxxxxxx xxxxxxxxx xxxxxxxx Xxxxxx xxxxxxxxxx xxxxxxxxx xxxxx Xxxxx xxxxxxx xxxxxxxxxx Xxxxxx Xxxxxxxxx xxxxxxx Xxxxxxxx xxxxx xxxxx Xxxxxxxxxx Xxxxxxx Xxxxxxxx Xxxxxxx xxxxx xxxxxxx Xxxxx xxxxxxxxxx Xxxxxxxxxx xxxxxxx Xxxxx xxxxxxxxx xxxxxxxx Xxxxxxxx xxxxxxxx Xxxxxxx
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5 xxxxx Xxxxx Xxxxxxxx xxxxxxxxxx Xxxxxx Xxxxxxxxx Xxxxxxxxxx xxxxxxx Xxxxxxxxxx Xxxxxxxxx Xxxxxx xxxxxxxx xxxxxxxxxx xxxxxxxx Xxxxx xxxxxxxx xxxxxxxxxx xxxxxxxx Xxxxx xxxxxxxx xxxxxx Xxxxxxxx xxxxxxxxxx Xxxxxxx xxxxxxxxxx Xxxxxxx Xxxxxxxxx xxxxxx Xxxxx Xxxxx Xxxxxx Xxxxxxxxx Xxxxxxxxx xxxxx Xxxxx Xxxxxxxxxx Xxxxxxx Xxxxxxxxxx Xxxxxxxx xxxxxxx xxxxxxxx Xxxxxx Xxxxxxxxx Xxxxxxxxxx Xxxxxx Xxxxxx Xxxxxxx xxxxxxxxxx Xxxxxxx Xxxxxxxxxx xxxxx xxxxxxx xxxxxxxxx xxxxxxxxx xxxxxx xxxxxx Xxxxxxxxxx xxxxxxxxxx xxxxxxxxx Xxxxxx xxxxxxxxxx Xxxxxxx xxxxxxxxx xxxxxxx Xxxxxxxx Xxxxxxxx Xxxxxxx xxxxxx xxxxx xxxxx Xxxxxxxxx xxxxx Xxxxx Xxxxxx xxxxxxxxxx Xxxxxxxx Xxxxxxxx Xxxxxxxxx Xxxxxxxxxx xxxxxx Xxxxx Xxxxxxxx
6 xxxxxx Xxxxx Xxxxxx xxxxxx xxxxxxxx Xxxxxxxx Xxxxxxxxxx xxxxxxxxxx Xxxxx Xxxxxxx Xxxxxxx Xxxxxx Xxxxxx xxxxxxxx Xxxxxxxxx Xxxxx Xxxxxxx xxxxxxxxx Xxxxxxxxx xxxxxxx Xxxxxxxx Xxxxxxxxxx xxxxxx xxxxxxxxxx xxxxxx xxxxxx Xxxxxxxxxx xxxxxxx Xxxxxxxxxx xxxxx Xxxxxxxxx Xxxxxxx Xxxxxxxxx Xxxxx Xxxxxxxx xxxxxxxxx xxxxxxxxxx xxxxx xxxxxxxxxx xxxxxxx xxxxxxxx Xxxxx xxxxx xxxxxx Xxxxxx xxxxxxxxxx xxxxxxxxxx Xxxxxxxxx xxxxxxx Xxxxxxx Xxxxxxxxxx Xxxxxxxx xxxxxx xxxxxx Xxxxxx xxxxxx xxxxx Xxxxxxxxx Xxxxxxxxx Xxxxxx Xxxxx Xxxxxxxxx Xxxxxx Xxxxxx xxxxxx xxxxx xxxxxxx xxxxxxxxxx xxxxxx Xxxxxxx Xxxxx xxxxxxxxxx Xxxxx xxxxxxx xxxxxxx Xxxxxxxxxx Xxxxx xxxxxxx Xxxxxxxx Xxxxxx xxxxxxxxxx Xxxxx
7 Xxxxxxx xxxxx xxxxxx xxxxxx Xxxxxxxx xxxxxxx Xxxxxx xxxxxxxxxx Xxxxxxx xxxxxxxxx Xxxxxx xxxxxxxxxx xxxxxxxx xxxxxxxxxx Xxxxx Xxxxxx Xxxxxx xxxxxx Xxxxxxxx Xxxxx xxxxx Xxxxxxxxxx xxxxxx xxxxx xxxxxxx xxxxx Xxxxxxx xxxxxxxxxx Xxxxxxx xxxxxxxxxx xxxxxxxxxx xxxxxxx xxxxxxx xxxxxxxxxx Xxxxxxxxxx Xxxxxx xxxxxx Xxxxxxxxxx Xxxxxx Xxxxxx Xxxxxxx Xxxxxx xxxxxxxx xxxxx Xxxxxxxxxx Xxxxx xxxxxxx xxxxxxxx xxxxxxxx Xxxxxxxx xxxxxxx xxxxxx Xxxxxxxx xxxxxxx Xxxxxxxxxx xxxxxxxx xxxxxxxx xxxxxx Xxxxxxxx xxxxx Xxxxx Xxxxxxxxx xxxxxxxxx xxxxxxxxxx xxxxxxxxx xxxxxxx Xxxxxxxx Xxxxx Xxxxxxxx Xxxxxxxxx xxxxxxxxxx Xxxxxx xxxxxxxxx Xxxxxx Xxxxxxxxxx Xxxxxx xxxxxxxx xxxxxx xxxxxxxxxx Xxxxxxx xxxxxxxxxx Xxxxxx
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... xxxxxxx Xxxxx xxxxxxxx Xxxxxx xxxxx Xxxxxxx Xxxxxx Xxxxxxxxx Xxxxx Xxxxxxx xxxxxx xxxxxx xxxxxxxxx xxxxx Xxxxxxx Xxxxxxxx xxxxx Xxxxxxxxx Xxxxxxxxx Xxxxxxxxx Xxxxxxxx xxxxxxxxx xxxxxxxxx Xxxxx xxxxxxxx Xxxxxx xxxxxx Xxxxxxxx Xxxxxxxxx Xxxxxxxx xxxxxxxx Xxxxx xxxxx Xxxxxxxxx xxxxx Xxxxxxxx Xxxxxx Xxxxxxxxx xxxxxxxxxx xxxxxxxxx xxxxx xxxxxxxx xxxxxxxx Xxxxxxxx Xxxxxxxxxx Xxxxxxxx xxxxxxxxxx Xxxxx xxxxxxxxx Xxxxxxxxxx Xxxxxxx Xxxxxxxxx Xxxxx xxxxxxxxx Xxxxx Xxxxx xxxxx xxxxxx xxxxxx xxxxxxx xxxxxx Xxxxx xxxxxxxxxx xxxxxx xxxxxxxx xxxxxxxxxx Xxxxxxx xxxxxx xxxxxxxx xxxxx xxxxxxxx xxxxx Xxxxx xxxxxx xxxxxxxxx Xxxxxxxx Xxxxxxxxx Xxxxx Xxxxx xxxxxxxx Xxxxx xxxxxxxxxx
Sign In To Preview Data
PREDIK_DataDriven_competitive_intelligence_sample.csv vehicledata_UK_PREDIK.csv
Avail. Formats
.json and .csv
File
Coverage
2
Countries

Data Dictionary

[Sample] PREDIK_DataDriven_competitive_intelligence_sample.csv
Attribute Type Example Mapping
relation_intensity
 Float 5.88070057
company_likeliest_relation
 String SUPPLIER
company_name
 String COUNTY MATERIALS CORPORATION Company Name
company_category
 String CONCRETE PRODUCT SUPPLIER Company Industry
company_website_domain
 String http://www.countymaterials.com Company Website
company_linkedin_category
 String Construction Company LinkedIn
company_linkedin_subcategory
 String Building Materials
company_address
 String 702 N EDWIN ST Company Address
company_city
 String Sadorus City Name
company_county
 String Champaign County County Name
company_state
 String Illinois State Name
company_latitude
 Float 40.12431153 Latitude
company_longitude
 Float -88.26708576 Longitude
company_area_sqft
 Integer 4379
company_naics
 Integer 327320 Company NAICS Code
company_naics_2d
 String MANUFACTURING Company NAICS Name
company_naics_4d
 String CEMENT AND CONCRETE PRODUCT MANUFACTURING
company_naics_6d
 String READY-MIX CONCRETE MANUFACTURING
[Sample] vehicledata_UK_PREDIK.csv
Attribute Type Example Mapping
road_id
 Integer 3829957
unique_vehicles
 Integer 44474
avg_vehicle_speed
 Float 12.72228658
unique_vehicles_morning
 Integer 14508
unique_vehicles_afternoon
 Integer 16490
unique_vehicles_evening
 Integer 10527
unique_vehicles_dawn
 Integer 3748
unique_vehicles_monday
 Integer 6330
unique_vehicles_tuesday
 Integer 7596
unique_vehicles_wednesday
 Integer 6879
unique_vehicles_thursday
 Integer 7196
unique_vehicles_friday
 Integer 6879
unique_vehicles_saturday
 Integer 6163
unique_vehicles_sunday
 Integer 5497
unique_vehicles_monday_morning
 Integer 2065
unique_vehicles_monday_afternoon
 Integer 2299
unique_vehicles_monday_evening
 Integer 1466
unique_vehicles_monday_dawn
 Integer 533
unique_vehicles_tuesday_morning
 Integer 2632
unique_vehicles_tuesday_afternoon
 Integer 2815
unique_vehicles_tuesday_evening
 Integer 1499
unique_vehicles_tuesday_dawn
 Integer 666
unique_vehicles_wednesday_morning
 Integer 2249
unique_vehicles_wednesday_afternoon
 Integer 2265
unique_vehicles_wednesday_evening
 Integer 1882
unique_vehicles_wednesday_dawn
 Integer 533
unique_vehicles_thursday_morning
 Integer 2798
unique_vehicles_thursday_afternoon
 Integer 2648
unique_vehicles_thursday_evening
 Integer 1283
unique_vehicles_thursday_dawn
 Integer 500
unique_vehicles_friday_morning
 Integer 2265
unique_vehicles_friday_afternoon
 Integer 2449
unique_vehicles_friday_evening
 Integer 1666
unique_vehicles_friday_dawn
 Integer 533
unique_vehicles_saturday_morning
 Integer 1849
unique_vehicles_saturday_afternoon
 Integer 2165
unique_vehicles_saturday_evening
 Integer 1516
unique_vehicles_saturday_dawn
 Integer 633
unique_vehicles_sunday_morning
 Integer 1216
unique_vehicles_sunday_afternoon
 Integer 2382
unique_vehicles_sunday_evening
 Integer 1482
unique_vehicles_sunday_dawn
 Integer 433
vehicle_speed_morning
 Float 12.72228658
vehicle_speed_afternoon
 Float 12.72228658
vehicle_speed_evening
 Float 12.72228658
vehicle_speed_dawn
 Float 12.72228658
vehicle_speed_monday
 Float 12.72228658
vehicle_speed_tuesday
 Float 12.72228658
vehicle_speed_wednesday
 Float 12.72228658
vehicle_speed_thursday
 Float 12.72228658
vehicle_speed_friday
 Float 12.72228658
vehicle_speed_saturday
 Float 12.72228658
vehicle_speed_sunday
 Float 12.72228658
vehicle_speed_monday_morning
 Float 12.72228658
vehicle_speed_monday_afternoon
 Float 12.72228658
vehicle_speed_monday_evening
 Float 12.72228658
vehicle_speed_monday_dawn
 Float 12.74314559
vehicle_speed_tuesday_morning
 Float 12.72228658
vehicle_speed_tuesday_afternoon
 Float 12.72228658
vehicle_speed_tuesday_evening
 Float 12.72228658
vehicle_speed_tuesday_dawn
 Float 12.81309498
vehicle_speed_wednesday_morning
 Float 12.72228658
vehicle_speed_wednesday_afternoon
 Float 12.72228658
vehicle_speed_wednesday_evening
 Float 12.72228658
vehicle_speed_wednesday_dawn
 Float 12.79500796
vehicle_speed_thursday_morning
 Float 12.72228658
vehicle_speed_thursday_afternoon
 Float 12.72228658
vehicle_speed_thursday_evening
 Float 12.72228658
vehicle_speed_thursday_dawn
 Float 12.79818584
vehicle_speed_friday_morning
 Float 12.72228658
vehicle_speed_friday_afternoon
 Float 12.72228658
vehicle_speed_friday_evening
 Float 12.72228658
vehicle_speed_friday_dawn
 Float 12.86785602
vehicle_speed_saturday_morning
 Float 12.72228658
vehicle_speed_saturday_afternoon
 Float 12.72228658
vehicle_speed_saturday_evening
 Float 12.72228658
vehicle_speed_saturday_dawn
 Float 12.83146541
vehicle_speed_sunday_morning
 Float 12.72228658
vehicle_speed_sunday_afternoon
 Float 12.72228658
vehicle_speed_sunday_evening
 Float 12.72228658
vehicle_speed_sunday_dawn
 Float 12.76291284
road_geometry
 String POLYGON ((-0.077707415007229 51.502038489148944, -0.07770...

Description

With a unique and novel approach that combines geolocation methodologies and alternative data, we have developed a Data Solution that helps companies understand competitors, suppliers, and customers in depth.
We help our clients to draw connections between companies and facilities, map markets and supply chains and uncover and visualize hidden relations between companies. Given a specific U.S. or Europe-based company, we draw a connections map, including all detected relationships between that company and other companies and facilities nationwide, statewide, and between countries. Markets we can address We can identify and detect connections between facilities and companies across the United States, and across countries and within them in Europe. What makes us different? We have developed a brand-new technology that combines the use of alternative data and machine learning methodologies, what allows us to perform competitive analysis in a non-traditional way, by studying a specific facility and detecting and drawing all the connections between the facility and other locations. We use publicly available information such as location data and building footprints to identify and geolocate company facilities. With a machine learning algorithm, we identify movement patterns between these locations. Already Validated Use Cases - Market Intelligence & Due Diligence Company: A large multinational company that provides specialized materials to different industries. Challenge: How to find a cost-effective way to analyze the competition and identify potential customers? Solution: Relationship data with a geolocation approach to unveil the DNA of a facility. Results: Identify competitors' clients and suppliers. - Risk Assessment Company: A leading data analytics provider serving customers in insurance, energy and specialized markets, and financial services. Challenge: How to anticipate and prevent possible disruptions in all the tiers of the supply chain? Solution: Inter-company data with a geolocation approach to detect and measure relations between companies and facilities in the US. Using the movements of physical goods between different companies and locations, the supply chains can be inferred and analyzed. Results: Anticipate potential disruptions by understanding behavior in all the tiers of the supply chain. - Asset Protection & Loss Prevention Company: A large multinational corporation in the industrial and logistics sector. Challenge: How to optimize the asset recovery strategy in a network of more than 1 million locations nationwide? Solution: A machine learning model that combines client´s own data and a geolocation approach to track assets´ movements between facilities. Results: Improvement in the identification of facilities where the presence of assets to be recovered is higher. Other Use Cases - Monitor company supply chains (paired with import-export data if additive). - Provide a proxy for manufacturing/production (e.g., monitoring activity from factories to warehouses).

Country Coverage

North America (2)
Mexico
United States of America

Pricing

Free sample available
License Starts at
One-off purchase Available
Monthly License Not available
Yearly License Available
Usage-based Not available
Request detailed pricing

Suitable Company Sizes

Small Business
Medium-sized Business
Enterprise

Delivery

Methods
S3 Bucket
Feed API
Frequency
quarterly
yearly
Format
.json
.csv

Use Cases

Competitor Analysis
Sales Intelligence
Competitive Intelligence
Supply Market Analysis
Supplier Data Enrichment

Categories

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Frequently asked questions

What is Competitive Intelligence Data for Manufacturing & Industrial Companies?

With a unique and novel approach that combines geolocation methodologies and alternative data, we have developed a Data Solution that helps companies understand competitors, suppliers, and customers in depth.

What is Competitive Intelligence Data for Manufacturing & Industrial Companies used for?

This product has 5 key use cases. Predik Data-driven recommends using the data for Competitor Analysis, Sales Intelligence, Competitive Intelligence, Supply Market Analysis, and Supplier Data Enrichment. Global businesses and organizations buy ESG Data from Predik Data-driven to fuel their analytics and enrichment.

Who can use Competitive Intelligence Data for Manufacturing & Industrial Companies?

This product is best suited if you’re a Small Business, Medium-sized Business, or Enterprise looking for ESG Data. Get in touch with Predik Data-driven to see what their data can do for your business and find out which integrations they provide.

Which countries does Competitive Intelligence Data for Manufacturing & Industrial Companies cover?

This product includes data covering 2 countries like USA and Mexico. Predik Data-driven is headquartered in United States of America.

How much does Competitive Intelligence Data for Manufacturing & Industrial Companies cost?

Pricing information for Competitive Intelligence Data for Manufacturing & Industrial Companies is available by getting in contact with Predik Data-driven. Connect with Predik Data-driven to get a quote and arrange custom pricing models based on your data requirements.

How can I get Competitive Intelligence Data for Manufacturing & Industrial Companies?

Businesses can buy ESG Data from Predik Data-driven and get the data via S3 Bucket and Feed API. Depending on your data requirements and subscription budget, Predik Data-driven can deliver this product in .json and .csv format.

What is the data quality of Competitive Intelligence Data for Manufacturing & Industrial Companies?

You can compare and assess the data quality of Predik Data-driven using Datarade’s data marketplace. Predik Data-driven has received 3 reviews from clients. Predik Data-driven appears on selected Datarade top lists ranking the best data providers, including Best +8 Airport APIs for Travel Data.

What are similar products to Competitive Intelligence Data for Manufacturing & Industrial Companies?

This product has 3 related products. These alternatives include Competitive Intelligence Data for Food & Beverage Industry, HitHorizons Manufacturing Company Data API CSV JSON 4,289,762 Companies 50 European Countries Data Enrichment Monthly Updated, and Forager.ai - Startup Data Company Data Refreshed 2x/Mo Delivery Hourly via CSV/JSON/PostgreSQL DB Delivery. You can compare the best ESG Data providers and products via Datarade’s data marketplace and get the right data for your use case.

Pricing available upon request
License Starts at
One-off purchase Available
Monthly License Not available
Yearly License Available
Usage-based Not available

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