List of KNIME Customers
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Since 2010, our global team of researchers has been studying KNIME 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 KNIME for ML and Data Science Platforms 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 KNIME for ML and Data Science Platforms include: Deutsche Telekom, a Germany based Communications organisation with 201336 employees and revenues of $134.08 billion, Siemens, a Germany based Manufacturing organisation with 312000 employees and revenues of $84.55 billion, Procter & Gamble, a United States based Consumer Packaged Goods organisation with 108000 employees and revenues of $84.04 billion, Lowe'S, a United States based Retail organisation with 270000 employees and revenues of $83.67 billion and many others.
Contact us if you need a completed and verified list of companies using KNIME, 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 KNIME 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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Deutsche Telekom | Communications | 201336 | $134.1B | Germany | KNIME | KNIME | ML and Data Science Platforms | 2021 | n/a |
In 2021, Deutsche Telekom implemented KNIME Analytics Platform to automate month end closing procedures and deviations analysis within its B2C controlling function, using the application as part of its ML and Data Science Platforms tooling. The engagement focused on embedding KNIME Analytics Platform into recurring financial close workflows, with the platform operating as the analytic and orchestration layer for deviation detection and narrative generation.
The implementation delivered functional capabilities for automated deviations analysis, rule driven comment generation, and generation of deviation reports sourced from SAP BW. A small digitalization team designed and configured data workflows, transformation logic, and automation pipelines in KNIME Analytics Platform, producing a production ready solution within three months.
Integration points were explicit and narrow, KNIME consumed reporting-level data from SAP BW and the solution was coupled with a Blue Prism bot that transferred the auto generated comments into downstream FP&A consumption channels. Operational scope centered on B2C controlling and FP&A activities in Germany, connecting analytic outputs to robotic process automation for handoff and distribution.
Governance and rollout were managed by the internal digitalization team, which implemented repeatable KNIME workflows and control checks to support month end cadence and deviation review processes. The deployment reduced manual FP&A effort in Germany by shifting generation and transfer of narrative comments into automated flows, while preserving SAP BW as the source of record for variance calculations.
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Lowe'S | Retail | 270000 | $83.7B | United States | KNIME | KNIME | ML and Data Science Platforms | 2019 | n/a |
In 2019, Lowe'S transitioned analytics workflows from Alteryx One Platform to KNIME as its ML and Data Science Platforms solution supporting Workforce Analytics and Workforce Management functions. The initiative was organized to deliver a comprehensive analysis of staffing challenges, formalizing a partnership between the Workforce Analytics and Workforce Management teams to align tooling with workforce planning objectives.
KNIME was used to create visual data pipelines, data preparation and feature engineering workflows, and model prototyping capabilities consistent with ML and Data Science Platforms. Implementation emphasized reusable KNIME workflows for ETL orchestration, scoring pipelines, and experiment tracking to standardize analytics outputs across staffing and scheduling use cases.
Operational coverage focused on workforce analytics and staffing analysis within Lowe'S broader workforce management function, with the Workforce Analytics team migrated onto KNIME tooling and products. The program included migration of analytic workflows from Alteryx One Platform to KNIME and training activities to transfer day to day analysis and pipeline maintenance to in house analytics staff.
Governance activities centered on standardized workflow libraries, role based access controls, and process changes to centralize pipeline ownership within the Workforce Analytics organization. Release gates and documented pipelines were established to control analytics promotion from development into production and to ensure repeatable data preparation and model deployment processes.
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Procter & Gamble | Consumer Packaged Goods | 108000 | $84.0B | United States | KNIME | KNIME | ML and Data Science Platforms | 2020 | phData |
In 2020, Procter & Gamble implemented KNIME to automate integration of complex manufacturing, lab, supply chain and quality data and to enable real time supply and demand forecasting and multi level dashboards. Procter & Gamble implemented KNIME, an ML and Data Science Platforms solution, to support supply chain and operations forecasting across global sites.
The implementation centered on KNIME workflows for data ingestion, transformation, model orchestration and dashboarding, and on enabling citizen developer pipelines for rapid experiment to production cycles. KNIME was configured to host reusable ETL and model scoring components, and training paths were created to upskill roughly 8,000 citizen developers so they could operate and extend analytic workflows.
The solution was developed in partnership with phData for supply chain and operations use and integrated manufacturing, laboratory, supply chain and quality data feeds to provide unified, multi level dashboards. Operational coverage was global and focused on enabling a single global decision meeting by consolidating regional views into a common set of real time indicators and forecasts.
Governance emphasized centralized analytics stewardship and role based workflow handoffs to support the scaled citizen developer population, with phData supporting deployment and adoption. The rollout replaced multiple regional decision meetings with a single global decision meeting and shortened time to insight from hours to minutes.
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Manufacturing | 312000 | $84.5B | Germany | KNIME | KNIME | ML and Data Science Platforms | 2018 | n/a |
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Buyer Intent: Companies Evaluating KNIME
- Szabalyozott Tevekenysegek Felugyelti Hatosaga Hungary, a Hungary based Government organization with 200 Employees
- American University of Sharjah, a United Arab Emirates based Education company with 1500 Employees
- Miller Library, a United States based Media organization with 3 Employees
Discover Software Buyers actively Evaluating Enterprise Applications
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