IMAGINiT Clarity includes the Clarity Data Model, which moves the information inside your Revit models into your own environment as structured, queryable SQL data. Important project information is no longer locked inside individual model files. Your teams can govern it, combine it with other business data, analyze it across projects, and build on it. Most AEC firms already have years of valuable project knowledge sitting inside their Revit models: elements, parameters, rooms, spaces, systems, families, and the standards behind them. Getting to that information in a usable, consistent form across projects has always been the hard part. When it stays tied to individual model files, it's difficult to keep current, compare, or put to work beyond the model. The Clarity Data Model solves that. It reshapes element, parameter, and project level Revit data into more than 250 relational SQL tables, giving analysts, developers, and business users a structured snapshot of each project to work with.
What Does It Mean to Reshore Your Data?
Reshoring your data means bringing access and control back to your organization. You own and host the extracted data, and because it lives in relational SQL tables, authorized users, applications, and tools can query it whenever the business needs it. No one has to reopen the source models or depend on a live connection to Revit.
You own it. You host it. You can query it as often as your business requires.
Current Data Without Anyone Lifting a Finger
Clarity runs the extraction the same way it runs the rest of your automation: on a schedule, in the background, without anyone opening a model. Set it up once, and each run captures a fresh snapshot of the Revit model data, so the tables always reflect the current state of your projects. You don't have to reconcile old exports or wonder which version you're looking at.
Make Your Revit Data Work for You
Track the Data That Matters to Your Firm
Every firm measures its projects differently. The Clarity Data Model gives you access to the metrics that are important to your firm. Metrics are stored over time, so you can look at where things stand today or at how they have changed as a project develops.
Project extracted data captures the detail of each project, including the data relationships across its models. A combined project data warehouse brings your projects together so you can compare and analyze across the portfolio. Because both live in standard SQL tables, your team can work with them using the tools they already know.
Turn Past Projects into Better Decisions
Some of the most valuable uses of the data model have nothing to do with reporting. Several Clarity customers are building decision tools on top of their historical project data. When the details of every past project sit in consistent, queryable tables, a firm can look back at what it has actually designed and use that knowledge to guide the work in front of it.
That might mean setting better expectations at the start of a project, checking whether a current project is tracking in line with similar past work, or giving leadership a clearer basis for business decisions. The tools look different from firm to firm because the questions are different, and the data model gives each firm a reliable foundation to answer its own.
Improve and Clean Your Data
Structured data makes it easier to find missing values, inconsistent naming, duplicate information, and other quality issues. You can build repeatable checks based on your own standards, spot patterns across multiple models, and focus your team's attention where it matters most.
Build Tools Around the Way You Work
Every organization has its own standards, workflows, and business questions. With direct access to SQL tables, your developers and data teams can create custom applications, integrations, alerts, and workflows on a stable, documented structure instead of building a data pipeline from scratch every time.
Combine It with Other Data to Gain New Insights
Revit data becomes even more useful when it's connected with information from other systems. Combine model data with project, operational, financial, asset, or other business data to spot trends, answer broader questions, and get a fuller view of project and portfolio performance.
More Value from Your Clarity On Premise Installation
The Clarity Data Model is included with Clarity. If you already use Clarity to automate publishing, exports, and model health checks, the same scheduled automation keeps your project data current and structured in your own environment, with no extra effort from your team.
As more projects run through Clarity, that data becomes a growing record of your firm's design knowledge, ready to help your teams make better decisions on the projects ahead of them.
Your design data. Your environment. Your tools. Clarity helps you bring it home and put it to work across your business.
Ready to get more value from your Revit data?
Connect with our IMAGINiT Clarity team to learn how the Clarity Data Model can help you access, analyze, and put your project data to work.
