List of RSMeans Data Online Construction Cost Estimating Customers
Greenville, SC, 29615,
United States
Since 2010, our global team of researchers has been studying RSMeans Data Online Construction Cost Estimating 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 RSMeans Data Online Construction Cost Estimating for Construction Estimating 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 RSMeans Data Online Construction Cost Estimating for Construction Estimating include: Owens Corning, a United States based Manufacturing organisation with 18000 employees and revenues of $9.68 billion, Telesis Holdings, a United States based Construction and Real Estate organisation with 25 employees and revenues of $3.0 million, Aim Network Canada, a Canada based Non Profit organisation with 10 employees and revenues of $1.0 million and many others.
Contact us if you need a completed and verified list of companies using RSMeans Data Online Construction Cost Estimating, 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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Aim Network Canada | Non Profit | 10 | $1M | Canada | RSMeans Data Online | RSMeans Data Online Construction Cost Estimating | Construction Estimating | 2023 | n/a |
In 2023, Aim Network Canada implemented RSMeans Data Online Construction Cost Estimating to produce credible, up-to-date construction and asset-management cost estimates for municipalities across Atlantic Canada. The deployment of RSMeans Data Online Construction Cost Estimating became the primary cost library and estimating engine for municipal capital planning and asset-management workflows.
The implementation expressly leverages RSMeans' Life Cycle Cost Estimator for asset retirement and long term infrastructure planning, embedding life cycle costing into project estimation and asset replacement scenario analysis. Configuration work emphasized regional cost index application, standardized unit cost lookups, and scenario-based estimate templates consistent with Construction Estimating solutions.
Operational coverage focuses on municipalities across Atlantic Canada, supporting municipal infrastructure teams and asset-management functions rather than enterprise finance systems. Governance centered on centralizing cost data within RSMeans Data Online to avoid building and maintaining an internal cost database, which streamlined estimate preparation and reduced spreadsheet driven processes.
Documented outcomes include saving time and avoiding the need to build and maintain an in-house cost database, positioning RSMeans Data Online Construction Cost Estimating as the governed source for unit costs and life cycle scenarios used in AIM client infrastructure planning.
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Owens Corning | Manufacturing | 18000 | $9.7B | United States | RSMeans Data Online | RSMeans Data Online Construction Cost Estimating | Construction Estimating | 2023 | n/a |
Owens Corning implemented RSMeans Data Online Construction Cost Estimating in 2023 to standardize construction cost estimating for capital planning and facilities maintenance across its global portfolio in the Construction Estimating category. The deployment is headquartered in the United States and was provisioned for project teams, facilities managers, and capital planning groups operating across multiple regions supporting both maintenance and capital project lifecycles.
The RSMeans Data Online Construction Cost Estimating implementation emphasizes use of the RSMeans Data Online Square Foot Estimator to localize and validate costs, combining standardized unit cost referencing with configurable estimate templates and regional cost adjustments. Configuration work centered on centralized cost libraries, repeatable estimate workflows, and estimate validation steps to accelerate estimate speed and improve accuracy for project approvals.
Operational coverage includes global facilities maintenance and capital programs where estimate workflows were integrated into planning and project approval processes for facilities and capital teams. Governance focused on centrally managed cost standards, review and validation workflows, and role-based access to the RSMeans Data Online Construction Cost Estimating tools, enabling faster estimate generation and improved validation across Owens Corning's project lifecycle.
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Telesis Holdings | Construction and Real Estate | 25 | $3M | United States | RSMeans Data Online | RSMeans Data Online Construction Cost Estimating | Construction Estimating | 2023 | n/a |
In 2023, Telesis Holdings provisioned RSMeans Data Online Construction Cost Estimating for a US regional implementation focused on renovation and facilities-maintenance estimating. The deployment leverages both historical RSMeans Data CDs and the RSMeans Data Online subscription to provide a maintained cost reference library and benchmarking capability within the Construction Estimating category.
RSMeans Data Online Construction Cost Estimating is used to rapidly develop defensible renovation, repair and facilities-maintenance estimates and to validate vendor quotes as part of lending and project initiation workflows. Functional emphasis is on cost benchmarking, standardized unit-cost libraries and reference estimating content to enforce consistent estimating governance and streamline quote validation, which contributes to accelerating loan approvals and project starts.
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