List of Wiiisdom Ops Customers
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Since 2010, our global team of researchers has been studying Wiiisdom Ops 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 Wiiisdom Ops for Analytics and BI 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 Wiiisdom Ops for Analytics and BI include: Red Hat, a United States based Professional Services organisation with 19000 employees and revenues of $6.40 billion, UCLA, a United States based Education organisation with 40000 employees and revenues of $6.00 billion, Unite Us, a United States based Professional Services organisation with 650 employees and revenues of $70.0 million and many others.
Contact us if you need a completed and verified list of companies using Wiiisdom Ops, 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 Wiiisdom Ops 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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Red Hat | Professional Services | 19000 | $6.4B | United States | Wiiisdom | Wiiisdom Ops | Analytics and BI | 2021 | n/a |
In 2021, Red Hat implemented Wiiisdom Ops to operationalize Tableau testing and AnalyticsOps across its enterprise analytics environment. The deployment was positioned inside the Analytics and BI domain and focused on automating validation for Tableau Cloud dashboards to increase trust and reduce manual QA effort.
Wiiisdom Ops configuration concentrated on automated functional, regression, SQL and tolerance testing, with test orchestration and scheduled validation runs to exercise dashboard logic and underlying queries. The implementation applied Wiiisdom's Tableau testing and AnalyticsOps capabilities to centralize test definitions, execute SQL-level checks, and validate visual tolerances for published dashboards.
Integrations centered on Tableau Cloud and developer release workflows, enabling automated test execution as part of analytics delivery pipelines. Operational coverage targeted HR, finance and sales analytics teams in the United States, extending across enterprise BI development and dashboard release processes.
Governance and workflow changes included formalizing test ownership within analytics teams and shifting manual dashboard verification to automated test suites managed in Wiiisdom Ops. The rollout delivered faster releases, improved dashboard trust and reduced manual effort, with a reported ~2x productivity increase for the development team.
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UCLA | Education | 40000 | $6.0B | United States | Wiiisdom | Wiiisdom Ops | Analytics and BI | 2023 | n/a |
In 2023 UCLA implemented Wiiisdom Ops as an enterprise analytics governance and testing platform. The deployment is an enterprise BI initiative in the United States led by a central analytics function, focused on continuous validation of Tableau content to support reliable institutional reporting and decision-making. Wiiisdom Ops is used to centralize governance workflows within UCLA's Analytics and BI stack and to automate recurring validation of reports and dashboards.
Implemented capabilities emphasize analytics governance and automated testing of reports and dashboards, including continuous validation of Tableau workbooks, test orchestration, and data quality monitoring tied to Tableau data sources. Integrations explicitly include direct validation against Tableau content, with operational coverage led by the central analytics team and extending to reporting consumers across academic and administrative functions. Governance and process changes center on policy-driven testing cadences, content inventory and automated validation workflows to keep reports reliable and up-to-date and to build trust in decision-making.
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Unite Us | Professional Services | 650 | $70M | United States | Wiiisdom | Wiiisdom Ops | Analytics and BI | 2021 | n/a |
In 2021, Unite Us implemented Wiiisdom Ops as part of its Analytics and BI stack to automate validation of embedded Tableau workbooks within its SaaS product. The deployment focused on workbook-level testing targeted at the companys embedded analytics used by healthcare customers in the United States.
Wiiisdom Ops was configured to run functional, regression, and performance test suites against embedded Tableau workbooks to validate deployments prior to release. Test orchestration and automated validation workflows were applied to workbook interactions and rendering paths, ensuring consistent verification of visualizations and embedded queries as part of the deployment pipeline.
The implementation integrated directly with embedded Tableau workbooks inside Unite Us applications, enabling engineering, QA, and analytics teams to surface regressions and performance degradations earlier in the cycle. Operational scope was US-based and centered on the product teams responsible for delivering embedded analytics to healthcare clients, with automated test runs aligned to deployment events.
Governance and rollout emphasized standardized pre-deployment validation workflows for embedded analytics, moving manual workbook checks into automated test runs. Reported outcomes included a reduction of about 25 hours of manual testing per month and increased deployment confidence for embedded analytics used by healthcare customers.
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