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So far builtonvision has created 24 blog entries.

Built On Vision Software Named to Construction Executive’s 2019 Hot Products

By |2019-10-25T21:36:29+00:00January 21st, 2019|News & Events|

Construction Software Creates Highly Reliable Project Forecasts “For the First Time” LOS ANGELES--(BUSINESS WIRE)--Built On Vision, award-winning creator of the first cloud-based forecasting and project management software is proud to announce that it has been named to Construction Executive’s list of 2019 Hot Products. Built On Vision’s (BOV) software provides users of traditional scheduling software

Built On Vision Announces World’s First Translation Tool for Project Management and Forecasting Software

By |2019-10-25T21:52:04+00:00January 15th, 2019|News & Events|

International Firms Can Now Conveniently Adopt Scheduling Software Including Oracle Primavera P6 and Microsoft Project LOS ANGELES--(BUSINESS WIRE)--Built On Vision, award-winning creator of the first cloud-based forecasting and project management software, today announced that its software can now automatically translate schedules from any language into any other language in the world. Built On Vision provides

Identifying Schedule Delays & Disruptions

By |2019-10-28T19:16:03+00:00December 7th, 2015|Case Studies|

Industry: Healthcare Method: Identifying Out-of-Sequence Events The Challenge: A major health facility’s construction project, valued at several hundred million dollars, was experiencing severe scheduling delays and disruptions. To understand the cause and extent of the interruptions, and their impact, they would need a clear view into what work - and whose - was performed

Narrowing The Data Trail

By |2019-10-25T21:30:02+00:00December 6th, 2015|Case Studies|

Industry: Construction Method: Streamlined Analysis of Complex Data Sets for Trending The Challenge: A medical center construction project was experiencing delays and disruptions that severely affected labor productivity. To assess lost productivity and the effects of these interruptions to the project, data from thousands of payroll records would need to be compiled and analyzed. How

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