List of Informatica Cloud Data Quality Customers
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Since 2010, our global team of researchers has been studying Informatica Cloud Data Quality 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 Informatica Cloud Data Quality for Master Data Management 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 Informatica Cloud Data Quality for Master Data Management include: Takeda, a Japan based Life Sciences organisation with 50000 employees and revenues of $30.60 billion, Holiday Inn Club Vacations, a United States based Leisure and Hospitality organisation with 4000 employees and revenues of $1.00 billion, Paycor, a United States based Professional Services organisation with 2900 employees and revenues of $655.0 million and many others.
Contact us if you need a completed and verified list of companies using Informatica Cloud Data Quality, 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.
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| Logo | Customer | Industry | Empl. | Revenue | Country | Vendor | Application | Category | When | SI | Insight |
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Holiday Inn Club Vacations | Leisure and Hospitality | 4000 | $1.0B | United States | Informatica | Informatica Cloud Data Quality | Master Data Management | 2023 | n/a |
In 2023, Holiday Inn Club Vacations implemented Informatica Cloud Data Quality as part of a Master Data Management initiative to rapidly consolidate customer records and support 360 degree member profiles. The delivery combined Informatica Cloud Master Data Management with Informatica Cloud Data Governance and Informatica Cloud Data Quality to enable personalized guest experiences across North America.
Implementation emphasized the MDM Customer 360 module together with Cloud Data Quality capabilities, using standardization, matching, deduplication and survivorship workflows to produce unified member records. Informatica Cloud Data Quality was configured to inspect and cleanse source customer feeds, and the MDM Customer 360 component orchestrated record linkage and golden record creation.
Operational scope targeted membership and guest experience functions, consolidating profiles for more than 350,000 members and creating unified views for personalized interactions. The program supported marketing segmentation, reservation and loyalty workflows by providing a single customer reference for North America operations.
Governance was formalized through the Informatica Cloud Data Governance capability to centralize stewardship, codify quality rules and manage ongoing data lifecycle processes. The cloud deployment completed in a sub 4 month cloud migration and the Informatica case study documents module level usage and the resulting unified member views.
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Paycor | Professional Services | 2900 | $655M | United States | Informatica | Informatica Cloud Data Quality | Master Data Management | 2019 | n/a |
In 2019 Paycor implemented Informatica Cloud Data Quality as part of an Informatica IDMC deployment to establish a cloud data foundation for HR and payroll analytics. The implementation included Informatica Cloud Data Integration alongside AI powered Informatica Cloud Data Quality and is classified under Master Data Management, with the new architecture going live in early 2020 and the Informatica customer story noting major efficiency gains, reduced AI data preparation time, and documented ROI for HR and process analytics.
Configuration and modules centered on data profiling, cleansing and automated quality rules to create consistent workforce records across recruiting, onboarding and payroll. Informatica Cloud Data Quality was used to standardize and validate entity attributes, deduplicate worker records and prepare analytic ready datasets, aligning with Master Data Management workflows such as entity resolution, data standardization and operational data quality monitoring.
Integrations connected Informatica Cloud Data Integration pipelines to Paycor HR and payroll source systems to feed analytics and AI workflows in the United States. Operational coverage focused on HR analytics and payroll process analytics, unifying data across recruiting, onboarding and payroll domains to deliver AI ready workforce insights.
Governance emphasized operationalized data quality monitoring and automated rule enforcement to sustain the cloud data foundation. The rollout to production in early 2020 supported faster preparation of AI inputs, with Paycor reporting reduced AI data prep time and efficiency gains for HR and process analytics as stated by Informatica.
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Takeda | Life Sciences | 50000 | $30.6B | Japan | Informatica | Informatica Cloud Data Quality | Master Data Management | 2022 | n/a |
In 2022, Takeda deployed Informatica Cloud Data Quality as a core component of its Master Data Management program on Informatica IDMC. The Informatica Cloud Data Quality implementation centralized multidomain master data capabilities to support R&D and clinical data use cases, with global operational scope and governance anchored at HQ Japan. The deployment established a single cloud MDM backbone to standardize master records for research and clinical functions.
Takeda consolidated six existing MDM instances into a multidomain cloud environment on Informatica IDMC, applying CLAIRE powered data quality and governance across R&D and clinical datasets. Implemented functional modules included data profiling, automated data quality rules, entity matching and survivorship logic, and stewardship workflows to manage master records and enforce governance. The Informatica case study documents migration milestones, including R&D workloads moved to cloud in Q4 FY2023.
Operational coverage focused on global R&D and clinical business functions with governance and stewardship processes managed from HQ Japan, and workflows designed to feed downstream analytical and clinical data consumers. Reported outcomes include 96% of data moved to cloud, increased data productivity and significant IT cost savings. The Takeda Informatica Cloud Data Quality implementation within Master Data Management supports strengthened data governance and master data stewardship for R&D and clinical operations.
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