Construction and real estate generate data on every project. Most of it never reaches a decision.

Budget-vs-actual, earned value, and schedule risk sit in one governed view on Snowflake, built from scheduling, cost, and progress data consolidated out of spreadsheets into one governed, trusted source. Viewnear surfaces budget-vs-actual and schedule risk while there is still time to act, on a governed source consolidating ERP, project, and field systems. Cost, contract, and asset data stays auditable, with role-based access across every project.

CAD drawings can be read into structured, governed tables, so the quantities, areas, and materials that define a building become queryable alongside the business numbers. For a construction and real-estate developer, Viewnear unified four disconnected sources (construction program and scheduling, project cost and finance, land and acquisition records, and architectural CAD drawings) into one governed source of truth on Snowflake: Openflow ingested the business data into a Bronze, Silver, Gold Medallion foundation, and the design data locked in the architectural and engineering drawings was extracted into governed, queryable tables. Snowflake CoWork agents over governed Semantic Views, plus Slack bots, then let teams ask questions and act on that data inside Snowflake and in the tools they already work in.

Portfolio and asset analytics on Snowflake show occupancy, yield, and performance across every property and project in one place, and forecasting and valuation models feed valuation, capital planning, and bids with trusted, current data. For a construction and real-estate developer, construction programs, individual projects, and land acquisition decisions were all measured against the same governed Gold models, so the business ran from one source instead of hand-stitched spreadsheets.