List of Quest erwin Evolve Customers
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Since 2010, our global team of researchers has been studying Quest erwin Evolve 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 Quest erwin Evolve for Analytics and BI, Process Mining 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 Quest erwin Evolve for Analytics and BI, Process Mining include: E.ON, a Germany based Utilities organisation with 69668 employees and revenues of $88.13 billion, St. James's Place, a United Kingdom based Banking and Financial Services organisation with 2298 employees and revenues of $2.50 billion, QAD, a United States based Professional Services organisation with 1700 employees and revenues of $428.0 million and many others.
Contact us if you need a completed and verified list of companies using Quest erwin Evolve, 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 Quest erwin Evolve 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 |
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E.ON | Utilities | 69668 | $88.1B | Germany | Quest Software | Quest erwin Evolve | Analytics and BI,Process Mining | 2019 | n/a |
In 2019, E.ON implemented Quest erwin Evolve in the Analytics and BI,Process Mining category to automate metadata harvesting, lineage and impact analysis across its energy operations and customer solutions. Public case materials document E.ON's use of erwin Data Intelligence for automated metadata collection and lineage, and usage of Quest erwin Evolve is inferred from E.ON's broader adoption of the erwin suite.
The implementation centered on enterprise metadata management capabilities, including automated metadata harvesting, lineage extraction and impact analysis, a centralized metadata repository and cataloging to support data stewardship and semantic consistency. Configuration work focused on mapping operational and customer data domains, cataloging data assets for operations and regulatory compliance, and enabling traceability from source systems to downstream analytics.
Deployment coverage encompassed Germany and extended across European operational and customer solution domains, harvesting metadata across energy operations and customer systems to deliver cross-functional visibility. The program provided governance-grade lineage and impact views to operations, compliance and customer-facing teams, aligning technical metadata with business terms and operational processes.
Governance and rollout emphasized scaling metadata management capabilities and operationalizing impact analysis workflows, with stewardship processes established to maintain metadata quality and lineage accuracy. After 18 months the documented program identified over €8M in business impact and reported improved governance and insights into the data estate for operations and regulatory compliance in Europe.
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QAD | Professional Services | 1700 | $428M | United States | Quest Software | Quest erwin Evolve | Analytics and BI,Process Mining | 2020 | n/a |
In 2020, QAD implemented Quest erwin Evolve to establish an enterprise architecture capability and to support business-process modeling. The deployment of Quest erwin Evolve sits in the Analytics and BI,Process Mining category and was applied to catalog systems and produce an as-is architecture that improves visibility for stakeholders involved in application rationalization and transformation.
The implementation centered on erwin Evolve enterprise architecture and process modeling functionality, including a centralized metadata repository, process modeling and visualization, and system cataloging workflows. QAD used these capabilities to capture system-to-process mappings, maintain a living as-is architecture inventory, and produce roadmaps that align IT applications with business process flows and priorities.
Operational scope covered global IT and business process stakeholders, with the platform used by IT architects and business analysts to articulate application footprints and process ownership. The deployment was positioned as a repeatable EA practice to standardize how systems and processes are mapped, documented, and reviewed across functions involved in transformation and rationalization efforts.
The implementation is documented by erwin and delivered measurable improvements in visibility and a repeatable enterprise architecture practice used to map systems, processes and roadmaps. Governance activity focused on institutionalizing cataloging and modeling processes so IT and business leaders could use the Quest erwin Evolve artifacts for ongoing application rationalization and transformation planning.
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St. James's Place | Banking and Financial Services | 2298 | $2.5B | United Kingdom | Quest Software | Quest erwin Evolve | Analytics and BI,Process Mining | 2023 | n/a |
In 2023, St. James's Place implemented Quest erwin Evolve to improve audit preparedness and automate lineage for finance and client reporting. The deployment targeted finance and regulatory reporting teams in the United Kingdom, aligning with documented use of erwin Data Intelligence to surface lineage and metadata across the data estate.
Quest erwin Evolve was configured to deliver automated data lineage, metadata cataloging, and enhanced data estate visibility consistent with Analytics and BI,Process Mining capabilities. The implementation operationalized data stewardship and audit workflows, producing machine-readable lineage and centralized documentation to support Consumer Duty reporting and regulatory inquiries.
Operational scope focused on finance and client reporting functions and regulatory audit response processes, with governance changes to embed documented lineage into audit procedures. Reported outcomes included automated lineage across key sources, improved visibility of the data estate, faster regulatory audit responses, and a halving of research time for data-quality issues.
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Buyer Intent: Companies Evaluating Quest erwin Evolve
- GDS Group, a United Kingdom based Professional Services organization with 874 Employees
- Defence Housing Australia, a Australia based Government company with 550 Employees
- CE Line Logistics, a Turkey based Transportation organization with 20 Employees
Discover Software Buyers actively Evaluating Enterprise Applications
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