Competitive Intelligence - Company Data - US Industrial & Manufacturing Companies

#	signal_date	signal_type	likely_relation_type	a_id	a_name	a_address	a_street	a_city	a_county	a_state	a_zip	a_lat	a_lon	a_org_name	a_duns_number	a_naics_code	a_naics_desc_2d	a_naics_desc_4d	a_naics_desc_6d	b_id	b_name	b_address	b_street	b_city	b_county	b_state	b_zip	b_lat	b_lon	b_org_name	b_duns_number	b_naics_code	b_naics_desc_2d	b_naics_desc_4d	b_naics_desc_6d	dist_mi
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
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3	xxxxxxxxx	Xxxxx	xxxxxxxx	Xxxxxxx	xxxxxxxxx	Xxxxxxx	xxxxx	Xxxxxxx	xxxxxxx	Xxxxx	xxxxxxxxxx	Xxxxxxx	Xxxxx	xxxxxxxxxx	Xxxxxx	xxxxxx	Xxxxxxxxx	xxxxx	Xxxxxxxxxx	xxxxxx	xxxxx	xxxxxxxx	Xxxxxx	Xxxxxxxxxx	xxxxxxxxx	Xxxxxxxxxx	xxxxxxxx	xxxxx	Xxxxxx	xxxxxxxxxx	xxxxxxxxx	xxxxx	xxxxx	xxxxxxxx	xxxxxx	Xxxxxxxxxx
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5	xxxxxxxxxx	xxxxxx	Xxxxx	Xxxxxxx	Xxxxx	Xxxxxx	Xxxxx	Xxxxxxxxx	xxxxxx	xxxxxxxx	Xxxxxxxxx	Xxxxxx	Xxxxxxxxxx	Xxxxxx	Xxxxx	Xxxxxxx	xxxxxxxxx	Xxxxx	xxxxx	Xxxxxx	xxxxxxxxx	xxxxxxx	xxxxxxxxx	Xxxxxxxxxx	xxxxxxxxx	Xxxxx	Xxxxx	Xxxxxxxxx	xxxxxxxxxx	xxxxxx	xxxxxxxxx	xxxxxxx	Xxxxxxx	Xxxxxxxxxx	Xxxxxxxxxx	Xxxxxxxx
6	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
7	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	Xxxxxx	Xxxxxxxxx	Xxxxxxxx	Xxxxxxxxxx	Xxxxxxx	Xxxxxx
8	Xxxxxxxxxx	xxxxxxxxxx	xxxxxxxxxx	Xxxxxxx	Xxxxx	Xxxxx	Xxxxx	Xxxxxxx	xxxxx	xxxxxxxxx	xxxxxxx	Xxxxxxx	xxxxxx	xxxxxxxxxx	xxxxxxxxxx	Xxxxxxx	xxxxxxxxx	Xxxxx	xxxxxxx	Xxxxxx	Xxxxx	xxxxxxxxxx	xxxxxxxxx	Xxxxxxxxxx	Xxxxxxxxx	Xxxxxxxx	xxxxxxxxx	Xxxxxxx	Xxxxxxx	Xxxxx	xxxxxxxxxx	Xxxxxxxxx	Xxxxxxx	Xxxxxxx	xxxxxxxx	xxxxx
9	Xxxxx	Xxxxxxxx	xxxxxxxx	Xxxxxxxxx	xxxxxxxxxx	xxxxxxxxxx	xxxxxxxxx	xxxxxxxxx	Xxxxxxx	Xxxxxxx	Xxxxxxx	Xxxxxxx	xxxxxxx	Xxxxxxxxxx	xxxxxxxx	Xxxxx	xxxxxxxxxx	xxxxxxxxxx	xxxxxx	xxxxxxxx	Xxxxxxxx	xxxxxx	xxxxxxxx	xxxxxx	Xxxxxxxx	xxxxxxxxx	xxxxx	Xxxxxxxxxx	Xxxxxxxxx	Xxxxxxx	xxxxxxxx	Xxxxxxx	Xxxxxxxxxx	Xxxxxxxxx	xxxxxxxxxx	xxxxxxx
10	Xxxxxxxxx	xxxxxxxxx	xxxxxxxx	xxxxxxxxx	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

Avail. Formats

.json and .csv

File

Coverage

Countries

History

years

[Sample] Preliminary_US_Relations_SamplePREDIKDATADRIVEN_Feb2025.csv

Attribute	Type	Example
signal_date	String	1/8/2024
signal_type	String	Device based on B visited A
likely_relation_type
a_id	Float	110000000000.0
a_name	String	DRAKES BREWING COMPANY
a_address	String	1933 DAVIS ST STE 177 SAN LEANDRO CA 94577
a_street	String	1933 DAVIS ST STE 177
a_city	String	SAN LEANDRO
a_county	String	ALAMEDA
a_state	String	CA
a_zip	Integer	94577
a_lat	Float	37.71631098
a_lon	Float	-122.17958
a_org_name	String	JOHN MARTIN
a_duns_number
a_naics_code	Integer	311942
a_naics_desc_2d	String	MANUFACTURING
a_naics_desc_4d	String	OTHER FOOD MANUFACTURING
a_naics_desc_6d	String	SPICE AND EXTRACT MANUFACTURING
b_id	Float	110000000000.0
b_name	String	FACEBOOK INC
b_address	String	990 HAMILTON AVE MENLO PARK CA 94025
b_street	String	990 HAMILTON AVE
b_city	String	MENLO PARK
b_county	String	SAN MATEO
b_state	String	CA
b_zip	Integer	94025
b_lat	Float	37.47675401
b_lon	Float	-122.149688
b_org_name	String	FACEBOOK INC
b_duns_number
b_naics_code	Integer	518210
b_naics_desc_2d	String	INFORMATION
b_naics_desc_4d	String	COMPUTING INFRASTRUCTURE PROVIDERS, DATA PROCESSING, WEB ...
b_naics_desc_6d	String	COMPUTING INFRASTRUCTURE PROVIDERS, DATA PROCESSING, WEB ...
dist_mi	Float	16.7

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. 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 Mexico and between Mexico and the USA. 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).

North America (2)

Mexico

United States of America

3 years of historical data

Free sample available

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

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Methods

Frequency

Format

Competitor Analysis

Sales Intelligence

Competitive Intelligence

Supply Market Analysis

Supplier Data Enrichment

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7 countries covered

3 years of historical data

With a unique Big Data approach, we develop Competitive Monitoring datasets that offer a deep understanding of competitors, suppliers, and customers.

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What is Competitive Intelligence - Company Data - US Industrial & Manufacturing Companies?

What is Competitive Intelligence - Company Data - US Industrial & Manufacturing 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 - Company Data - US Industrial & Manufacturing 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.

How far back does the data in Competitive Intelligence - Company Data - US Industrial & Manufacturing Companies go?

This product has 3 years of historical coverage. It can be delivered on a monthly and quarterly basis.

Which countries does Competitive Intelligence - Company Data - US Industrial & Manufacturing 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 - Company Data - US Industrial & Manufacturing Companies cost?

Pricing information for Competitive Intelligence - Company Data - US Industrial & Manufacturing 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 - Company Data - US Industrial & Manufacturing 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 - Company Data - US Industrial & Manufacturing 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 - Company Data - US Industrial & Manufacturing 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 Global Company Funding Data 61M Records with Historical Insights Bi-Weekly Updates. You can compare the best ESG Data providers and products via Datarade’s data marketplace and get the right data for your use case.

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Monthly License	Available
Yearly License	Available
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Competitive Intelligence - Company Data - US Industrial & Manufacturing Companies

Data Dictionary

Description

Country Coverage

History

Pricing

Suitable Company Sizes

Delivery

Use Cases

Categories

Related Searches

Related Products

Frequently asked questions

Predik Data-driven
Problem Solving with a Data-Driven Approach

Trusted by

Competitive Intelligence - Company Data - US Industrial & Manufacturing Companies

Data Dictionary

Description

Country Coverage

History

Pricing

Suitable Company Sizes

Delivery

Use Cases

Categories

Related Searches

Related Products

Frequently asked questions

Predik Data-driven Problem Solving with a Data-Driven Approach

Trusted by

Predik Data-driven
Problem Solving with a Data-Driven Approach