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List of OSDU Data Platform Customers

Landmark Solutions, an Halliburton Company
Location
​3000 N Sam Houston Pkwy E,
Houston, 77032-3219, TX,
United States
Website
https://www.landmark.solutions/
Phone
1 713-839-2000
Artw industry
Professional Services
Employee
2600
Revenue
$300M

Since 2010, our global team of researchers has been studying OSDU Data Platform customers around the world, aggregating massive amounts of data points that form the basis of our forecast assumptions and perhaps the rise and fall of certain vendors and their products on a quarterly basis.

Each quarter our research team identifies companies that have purchased OSDU Data Platform for ML and Data Science Platforms from public (Press Releases, Customer References, Testimonials, Case Studies and Success Stories) and proprietary sources, including the customer size, industry, location, implementation status, partner involvement, LOB Key Stakeholders and related IT decision-makers contact details.

Companies using OSDU Data Platform for ML and Data Science Platforms include: Equinor, a Norway based Oil, Gas and Chemicals organisation with 25155 employees and revenues of $103.80 billion, Repsol Spain, a Spain based Oil, Gas and Chemicals organisation with 12000 employees and revenues of $20.00 billion, Petrobras, a Brazil based Oil, Gas and Chemicals organisation with 41778 employees and revenues of $16.67 billion and many others.

Contact us if you need a completed and verified list of companies using OSDU Data Platform, including the breakdown by industry (21 Verticals), Geography (Region, Country, State, City), Company Size (Revenue, Employees, Asset) and related IT Decision Makers, Key Stakeholders, business and technology executives responsible for the software purchases.

The OSDU Data Platform customer wins are being incorporated in our Enterprise Applications Buyer Insight and Technographics Customer Database which has over 100 data fields that detail company usage of software systems and their digital transformation initiatives. Apps Run The World wants to become your No. 1 technographic data source!

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Logo Customer Industry Empl. Revenue Country Vendor Application Category When SI Insight
Equinor Oil, Gas and Chemicals 25155 $103.8B Norway Landmark, a Halliburton business line OSDU Data Platform ML and Data Science Platforms 2023 n/a
Petrobras Oil, Gas and Chemicals 41778 $16.7B Brazil Landmark, a Halliburton business line OSDU Data Platform ML and Data Science Platforms 2023 n/a
Repsol Spain Oil, Gas and Chemicals 12000 $20.0B Spain Landmark, a Halliburton business line OSDU Data Platform ML and Data Science Platforms 2023 n/a
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Buyer Intent: Companies Evaluating OSDU Data Platform

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FAQ - APPS RUN THE WORLD OSDU Data Platform Coverage

OSDU Data Platform is a ML and Data Science Platforms solution from Landmark, a Halliburton business line.

Companies worldwide use OSDU Data Platform, from small firms to large enterprises across 21+ industries.

Organizations such as Equinor, Repsol Spain and Petrobras are recorded users of OSDU Data Platform for ML and Data Science Platforms.

Companies using OSDU Data Platform are most concentrated in Oil, Gas and Chemicals, with adoption spanning over 21 industries.

Companies using OSDU Data Platform are most concentrated in Norway, Spain and Brazil, with adoption tracked across 195 countries worldwide. This global distribution highlights the popularity of OSDU Data Platform across Americas, EMEA, and APAC.

Companies using OSDU Data Platform range from small businesses with 0-100 employees - 0%, to mid-sized firms with 101-1,000 employees - 0%, large organizations with 1,001-10,000 employees - 0%, and global enterprises with 10,000+ employees - 100%.

Customers of OSDU Data Platform include firms across all revenue levels — from $0-100M, to $101M-$1B, $1B-$10B, and $10B+ global corporations.

Contact APPS RUN THE WORLD to access the full verified OSDU Data Platform customer database with detailed Firmographics such as industry, geography, revenue, and employee breakdowns as well as key decision makers in charge of ML and Data Science Platforms.