List of OpenText EIM Customers
OpenText
275 Frank Tompa Drive,
Waterloo, N2L 0A1, ON,
Canada
Waterloo, N2L 0A1, ON,
Canada
1 519-888-7111
Professional Services
21400
$5.2B
Since 2010, our global team of researchers has been studying OpenText EIM 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 OpenText EIM for Natural Language Processing 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 OpenText EIM for Natural Language Processing include: United States Department of Agriculture (USDA), a United States based Government organisation with 100000 employees and revenues of $230.00 billion, Carrefour, a France based Retail organisation with 234750 employees and revenues of $101.16 billion, Aegon, a Netherlands based Insurance organisation with 15700 employees and revenues of $32.50 billion, Frasers Property Australia, a Australia based Construction and Real Estate organisation with 800 employees and revenues of $100.0 million and many others.
Contact us if you need a completed and verified list of companies using OpenText EIM, 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 Content Management software purchases.
The OpenText EIM 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 Content Management 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 |
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Aegon | Insurance | 15700 | $32.5B | Netherlands | OpenText | OpenText EIM | Natural Language Processing | 2009 | n/a |
In 2009, Aegon implemented OpenText EIM to introduce Natural Language Processing capabilities into its enterprise information management environment. The deployment targeted unstructured content management use cases, positioning OpenText EIM to process customer correspondence, policy documents, and claims narratives for automated text analysis and metadata enrichment.
OpenText EIM was configured to support core Natural Language Processing functions such as text extraction, automated classification, entity recognition, and index-based search to surface insights from high volumes of documents. The configuration emphasized content ingestion pipelines, metadata schema mapping, and rule-driven classification workflows, aligning the application with common NLP processing stages including tokenization, tagging, and semantic indexing.
Operational coverage focused on insurance business functions including underwriting, claims, and customer service where unstructured text is a primary input to decision workflows. Governance instruments were put in place to centralize taxonomy management and records rules, and to enforce consistent metadata and classification policies across business units. The narrative centers on Aegon, OpenText EIM, Natural Language Processing, and the application of those capabilities to core insurance operations.
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Carrefour | Retail | 234750 | $101.2B | France | OpenText | OpenText EIM | Natural Language Processing | 2010 | n/a |
In 2010 Carrefour deployed OpenText EIM as part of a program to consolidate content operations across its public websites and intranet. The rollout covered www.carrefour.com, intragroup.carrefour.com, clubactionnaires.carrefour.com and lescosmetiquesdesignparis.carrefour.fr and explicitly combined content delivery, responsive site redesign and ongoing operational support.
OpenText EIM was configured to provide enterprise content and Natural Language Processing capabilities, including content indexing, metadata-driven classification and text processing to support search and content enrichment across site repositories. The implementation integrated with existing CMS tooling such as CMS Vignette and Drupal BO Factory for front-end delivery and content staging, and it encompassed level 3 support workflows for user incidents, service interruptions, exceptional requests and periodic penalty payments.
The program included a pilot to establish a responsive version of www.carrefour.com, managed jointly with a digital agency, with defined stakeholder management, a test plan, formal acceptance phases and framing of the TMA. A parallel detailed study targeted CRM change for clubactionnaires.carrefour.com, documenting top CRM functionality, organizational analysis, business process mapping and the functional and technical flow of inbound site interactions.
Governance and change management were implemented through workshops to define requirements, validate site models and approve developments, alongside animation of committees to pilot adoption and steer tool rollout. Carrefour OpenText EIM Natural Language Processing capabilities were positioned to support publishing workflows, CRM intake understanding and ongoing operational support for digital and business teams.
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Frasers Property Australia | Construction and Real Estate | 800 | $100M | Australia | OpenText | OpenText EIM | Natural Language Processing | 2015 | n/a |
In 2015, Frasers Property Australia deployed OpenText EIM for Natural Language Processing to enhance enterprise information management and support SAP-centric financial workflows. The OpenText EIM deployment was targeted to augment document and content workflows that underpin Record to Report activities in SAP FICO and procurement processes in SAP MM.
OpenText EIM was configured to provide Natural Language Processing capabilities including document classification, metadata extraction and content indexing to structure invoices, contracts and records for downstream SAP transactions. Configuration and implementation work was executed alongside SAP functional consulting in FICO and MM, and included completion of a data conversion onto Australand’s SAP system and the rebranding of Australand to Frasers Property Australia within SAP.
The implementation integrated OpenText EIM with the SAP landscape, specifically SAP FICO and SAP MM modules, and extended operational coverage as international sales offices were onboarded into SAP. Governance and process alignment focused on integrating EIM content lifecycles with Record to Report workflows, with ongoing SAP functional support maintained during rollout and international office integration.
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United States Department of Agriculture (USDA) | Government | 100000 | $230.0B | United States | OpenText | OpenText EIM | Natural Language Processing | 2014 | n/a |
In 2014, the United States Department of Agriculture implemented OpenText EIM as an enterprise Natural Language Processing capability. The engagement documented install and configure of OpenText EIM software suites to operationalize automated text processing and information management functions across USDA content holdings.
Configuration work focused on ingest and pipeline configuration, indexing and full text search, automated classification and metadata extraction, and entity recognition and text analytics components commonly deployed in Natural Language Processing solutions. OpenText EIM was configured to support taxonomy-driven classification, content lifecycle controls, and search-driven discovery workflows to improve automated tagging and retrieval of unstructured records.
Deployment and architecture efforts emphasized integration with USDA content repositories and records management policies, with explicit configuration of governance controls, role-based access, and indexing policies to align with government information governance requirements. The implementation narrative centers on system-level installation and configuration of OpenText EIM, NLP-focused module configuration, and transition of operational responsibility to USDA information management teams.
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Buyer Intent: Companies Evaluating OpenText EIM
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FAQ - APPS RUN THE WORLD OpenText EIM Coverage
OpenText EIM is a Natural Language Processing solution from OpenText.
Companies worldwide use OpenText EIM, from small firms to large enterprises across 21+ industries.
Organizations such as United States Department of Agriculture (USDA), Carrefour, Aegon and Frasers Property Australia are recorded users of
OpenText EIM for Natural Language Processing.
Companies using OpenText EIM are most concentrated in Government, Retail and Insurance, with adoption spanning over 21 industries.
Companies using OpenText EIM are most concentrated in United States, France and Netherlands, with adoption tracked across 195 countries worldwide. This global distribution highlights the popularity of OpenText EIM across Americas, EMEA, and APAC.
Companies using OpenText EIM range from small businesses with 0-100 employees - 0%, to mid-sized firms with 101-1,000 employees - 25%, large organizations with 1,001-10,000 employees - 0%, and global enterprises with 10,000+ employees - 75%.
Customers of OpenText EIM 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 OpenText EIM customer database with detailed Firmographics such as industry, geography, revenue, and employee breakdowns as well as key decision makers in charge of Natural Language Processing.