List of Flexera One Normalize Customers
Itasca, 60143, IL,
United States
Since 2010, our global team of researchers has been studying Flexera One Normalize 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 Flexera One Normalize for Extract, Transform, and Load (ETL) 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 Flexera One Normalize for Extract, Transform, and Load (ETL) include: US Department of Energy, a United States based Government organisation with 15936 employees and revenues of $48.20 billion, Autotrader.com, Inc., a United States based Retail organisation with 2600 employees and revenues of $635.0 million, University of San Francisco, a United States based Education organisation with 1357 employees and revenues of $300.0 million, Wesleyan University, a United States based Education organisation with 450 employees and revenues of $289.0 million and many others.
Contact us if you need a completed and verified list of companies using Flexera One Normalize, 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 Flexera One Normalize 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 | Insight Source |
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Autotrader.com, Inc. | Retail | 2600 | $635M | United States | Flexera | Flexera One Normalize | Extract, Transform, and Load (ETL) | 2022 | n/a | In 2022 Autotrader.com, Inc. implemented Flexera One Normalize as part of an Extract, Transform, and Load (ETL) initiative to standardize IT asset data across the enterprise. The implementation combined Flexera One Normalize with Flexera Technopedia and ServiceNow Asset Management to ingest discovery feeds, normalize nomenclature, and consolidate inconsistent records into a single canonical dataset. Flexera One Normalize was configured to perform core ETL functions including parsing multi-source discovery output, automated record linkage and deduplication, attribute mapping to a canonical asset model, and classification normalization. Implementation work included development of transformation rules, reconciliation logic for conflicting attributes, and scheduled pipelines to maintain synchronized asset records. The deployment integrated multiple discovery tools via Flexera Technopedia and pushed cleansed, normalized records into ServiceNow Asset Management to populate the enterprise CMDB and support compliance reporting workflows. Operational scope was enterprise wide within the United States and centered on IT asset management, configuration management, and compliance reporting functions. Governance was adjusted to enforce a single classification taxonomy and standardized data architecture, reducing ongoing implementation and maintenance effort while enabling faster compliance reporting as reported in the vendor case study. Flexera One Normalize served as the normalization layer that centralized asset data stewardship and automated routine reconciliation tasks. | |
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University of San Francisco | Education | 1357 | $300M | United States | Flexera | Flexera One Normalize | Extract, Transform, and Load (ETL) | 2023 | n/a | In 2023, the University of San Francisco implemented Flexera One Normalize to consolidate fragmented IT inventory and asset records. Flexera One Normalize is an Extract, Transform, and Load (ETL) application used to ingest, cleanse and harmonize disparate asset data across silos, addressing inefficiencies in the university's IT asset management processes. The deployment paired Flexera One Normalize with Technopedia to provide normalization, enrichment and canonicalization of software and hardware records prior to integration with downstream systems. Flexera One Normalize pipelines were configured for automated ingestion, deduplication, attribute reconciliation and enrichment workflows to produce clean, accurate inventory data for authoritative use. Integrations were executed with the university's existing ServiceNow integrations, enabling normalized and enriched records from Flexera One Normalize and Technopedia to feed ServiceNow configuration management and asset workflows. Operational scope focused on the central IT asset management function, improving visibility across previously siloed discovery sources and data feeds. Governance was tightened through automated normalization workflows and centralized data stewardship to reduce manual reconciliation and maintain ongoing data quality. The IT team reported that the solution cleaned up years of bad data in just a few hours, significantly reduced costs, and provided, for the first time, a true picture of all assets in the IT environment. | |
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US Department of Energy | Government | 15936 | $48.2B | United States | Flexera | Flexera One Normalize | Extract, Transform, and Load (ETL) | 2022 | n/a | In 2022, the U.S. Department of Energy integrated Flexera One Normalize as part of an agency-wide IT asset management and security initiative. The deployment paired Flexera Technopedia with Flexera One Normalize to aggregate and normalize IT asset data across the agency to identify outdated and vulnerable software and improve cybersecurity posture. The Flexera One Normalize implementation executed Extract, Transform, and Load (ETL) processes to ingest heterogeneous inventory feeds, normalize identifiers, and create canonical asset records for downstream consumption. Implementation work centered on data ingestion pipelines, normalization rulesets, enrichment workflows, and reconciliation logic to align software inventory with vulnerability and configuration data. The U.S. Department of Energy Flexera One Normalize Extract, Transform, and Load (ETL) implementation supported IT asset management and vulnerability remediation workflows. Integrations were explicit between Flexera Technopedia and Flexera One Normalize to enable asset classification and vulnerability mapping, with operational scope covering agency-wide ITAM and security teams in the United States. Governance changes emphasized increased transparency and accountability for asset ownership and vulnerability remediation tracking across business units. The initiative is reported to have increased agency-wide transparency and accountability and to have improved cybersecurity posture. | |
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Education | 450 | $289M | United States | Flexera | Flexera One Normalize | Extract, Transform, and Load (ETL) | 2022 | n/a |
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Buyer Intent: Companies Evaluating Flexera One Normalize
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