Competitive Intelligence Data for Manufacturing & Industrial Companies product image in hero

Competitive Intelligence Data for Manufacturing & Industrial Companies

Predik Data-driven
Start icon4.2(3)Badge iconVerified Data Provider
#
relation_intensity
company_likeliest_relation
company_linkedin_subcategory
company_area_sqft
company_naics_4d
company_naics_6d
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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
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Sign In To Preview Data
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
String COUNTY MATERIALS CORPORATION Company Name
String CONCRETE PRODUCT SUPPLIER Company Industry
String http://www.countymaterials.com Company Website
String Construction Company LinkedIn
company_linkedin_subcategory
String Building Materials
String 702 N EDWIN ST Company Address
String Sadorus City Name
String Champaign County County Name
String Illinois State Name
Float 40.12431153 Latitude
Float -88.26708576 Longitude
company_area_sqft
Integer 4379
Integer 327320 Company NAICS Code
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).

Geography

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

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 to use in 2023.

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

This Tabular Data 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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