AI Buyer Insights:

Michelin, an e2open customer evaluated Oracle Transportation Management

Swedbank, a Temenos T24 customer evaluated Oracle Flexcube

Cantor Fitzgerald, a Kyriba Treasury customer evaluated GTreasury

Citigroup, a VestmarkONE customer evaluated BlackRock Aladdin Wealth

Westpac NZ, an Infosys Finacle customer evaluated nCino Bank OS

Moog, an UKG AutoTime customer evaluated Workday Time and Attendance

Wayfair, a Korber HighJump WMS customer just evaluated Manhattan WMS

Michelin, an e2open customer evaluated Oracle Transportation Management

Swedbank, a Temenos T24 customer evaluated Oracle Flexcube

Cantor Fitzgerald, a Kyriba Treasury customer evaluated GTreasury

Citigroup, a VestmarkONE customer evaluated BlackRock Aladdin Wealth

Westpac NZ, an Infosys Finacle customer evaluated nCino Bank OS

Moog, an UKG AutoTime customer evaluated Workday Time and Attendance

Wayfair, a Korber HighJump WMS customer just evaluated Manhattan WMS

List of OpenText ProVision Customers

Apply Filters For Customers

Logo Customer Industry Empl. Revenue Country Vendor Application Category When SI Insight
AmerisourceBergen Life Sciences 46005 $200.0B United States OpenText OpenText ProVision Analytics and BI,Process Mining 2010 n/a
In 2010 AmerisourceBergen implemented OpenText ProVision in an initiative aligned to the Analytics and BI,Process Mining category. The deployment is attributed to Metastorm MBPM heritage and is inferred here as part of OpenText ProVision following acquisition lineage, positioning the implementation as enterprise process intelligence and process mining instrumentation. The implementation covered over 200 business processes deployed across the enterprise and was governed via a centrally chartered BPM Center of Excellence. Operational scope focused on mission critical workflows, explicitly including contracts and chargebacks, with governance centralized to standardize process modeling, documentation, and continuous process improvement. Functional capabilities implemented included process modeling and orchestration, process monitoring and instrumentation, and process mining and analytics to increase process transparency and enable operational visibility. Configuration emphasized reusable process artifacts and standardized process metrics consistent with Analytics and BI,Process Mining solutions, and the OpenText ProVision application was used as the runtime and analytical layer. Governance changes included establishment of the BPM Center of Excellence to manage process lifecycle, enforce process design standards, and coordinate rollouts across business units. The initiative explicitly targeted improved process transparency and achieved multi-million dollar savings on mission critical processes such as contracts and chargebacks, reflecting measurable cost outcomes reported for the Metastorm MBPM based program.
Lufthansa Germany Transportation 101709 $40.6B Germany OpenText OpenText ProVision Analytics and BI,Process Mining 2004 Arvato
In 2004, Lufthansa Germany implemented Metastorm BPM for its Miles & More customer-service processes, a deployment whose capabilities are now represented within OpenText ProVision in the OpenText MBPM product family. The project targeted automation of inbound document handling and case processing, and Arvato was the systems integrator that deployed and operated the solution for global Miles & More service centres. This implementation is reported under the Analytics and BI,Process Mining category and supported customer service and logistics business functions. The technical footprint emphasized case management and workflow orchestration, with inferred document capture and automated routing capabilities drawn from historical Metastorm and MBPM practice. Configuration focused on process models and rules to standardize inbound document intake and case lifecycles for frequent Miles & More scenarios, using MBPM-style orchestration to coordinate human and automated steps. The narrative restates OpenText ProVision as the current product family carrying these BPM capabilities. Operational coverage spanned global service centres for Miles & More, centralizing process execution under Arvato operations and consolidating inbound mail and electronic document handling into the BPM-driven case processing flow. Integrations with downstream systems are not specified in source material, therefore the description limits integration claims to the Arvato-operated deployment and the orchestration of distributed service-centre workloads. Governance and rollout emphasized process standardization and operational management by Arvato, shifting case handling to a centralized orchestration model under MBPM governance practices. Reported outcomes from the period include reduction of processing lag from multiple days to under 24 hours and reductions in logistics costs tied to the automated inbound handling and case processing improvements.
Transport for London Transportation 28501 $12.1B United Kingdom OpenText OpenText ProVision Analytics and BI,Process Mining 2008 n/a
In 2008 Transport for London implemented OpenText ProVision to automate incident reporting and minor works processes across the London Underground network. The deployment leverages the Metastorm OpenText MBPM product lineage and enabled electronic incident submission by thousands of users, shifting manual reporting into an electronic case management flow. OpenText ProVision was configured for case management, workflow orchestration, electronic incident capture, automated routing and escalation, and operational dashboards, delivering process analytics consistent with Analytics and BI,Process Mining. Functional capabilities inferred from historical Metastorm MBPM deployments include audit trails and process visualization to support faster triage and coordination of incidents. The operational scope covered incident management, minor works and maintenance workflows and impacted operations and maintenance business functions across the network. Governance emphasized centralized workflow configuration and staged rollout to large user populations, and recorded outcomes include improved visibility and response times and reductions in service interruptions and manual errors, with module usage noted here as part of the OpenText ProVision MBPM product lineage.
Showing 1 to 3 of 3 entries

Buyer Intent: Companies Evaluating OpenText ProVision

ARTW Buyer Intent uncovers actionable customer signals, identifying software buyers actively evaluating OpenText ProVision. Gain ongoing access to real-time prospects and uncover hidden opportunities.

Discover Software Buyers actively Evaluating Enterprise Applications

Logo Company Industry Employees Revenue Country Evaluated
No data found
FAQ - APPS RUN THE WORLD OpenText ProVision Coverage

OpenText ProVision is a Analytics and BI, Process Mining solution from OpenText.

Companies worldwide use OpenText ProVision, from small firms to large enterprises across 21+ industries.

Organizations such as AmerisourceBergen, Lufthansa Germany and Transport for London are recorded users of OpenText ProVision for Analytics and BI, Process Mining.

Companies using OpenText ProVision are most concentrated in Life Sciences and Transportation, with adoption spanning over 21 industries.

Companies using OpenText ProVision are most concentrated in United States, Germany and United Kingdom, with adoption tracked across 195 countries worldwide. This global distribution highlights the popularity of OpenText ProVision across Americas, EMEA, and APAC.

Companies using OpenText ProVision 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 OpenText ProVision 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 ProVision customer database with detailed Firmographics such as industry, geography, revenue, and employee breakdowns as well as key decision makers in charge of Analytics and BI, Process Mining.