Issue link: https://read.dmtmag.com/i/117518
therefore the top-three strategic infrastructure systems to upgrade with the investment budget are … )? The ability to process and analyze geospatial information in real time helps enable infrastructure owners and investors to maximize assets' values, therefore making them a worthwhile business investment. The answer to these problems can be found in building information modeling (BIM). to operate and maintain modern infrastructure, leading to backlogs, increasing costs and unreliable data that always are out of date. time when reduced government capital budgets, aging infrastructure, environmental concerns and changing consumer demand—exacerbated by an aging workforce—are transforming how people plan, design, build, operate and maintain infrastructure. The Background Problem that increase operational costs, reduce the effectiveness of planning, and lead to protracted and unreliable reporting, poor decisions, and increased scrutiny from regulators and government, preventing timely response to market opportunities. investment in (certain) infrastructure sectors. time to share with other groups within the organization prevents asset-value maximization, reduces the value of intelligent model-based designs and inhibits operational effectiveness, therefore reducing customer responsiveness. These barriers, coupled with the exponentially increasing volume of data from intelligent devices (e.g., smartphones, sensors, reality-capture sources, etc.), creates conditions where data are overwhelming legacy IT systems. Such data influx is preventing organizations from extracting maximum value and, more importantly, information from these new technologies. It's this real-time information that could help build the business case for investing in infrastructure. structure. due to lack of transparency about project pipeline and investment opportunities. target estimates on large infrastructure projects. projects and lack of benchmarks. With the right information, perceptions can be changed, and long-terms plans that include transparency are possible, but only if the last two issues are addressed: consistent project delivery and performance data that provide benchmarks for worthwhile investment. At first glance, there would seem to be a lot of capability within GIS and geospatial data to help the shortage of data, a key limiting factor. That's true, but investment requires intelligent information, not just static data. The planning to support such investment requires wisdom. But much of what exists today in traditional systems (e.g., GIS and CAD), while of value, doesn't get to the heart of the problem: enabling infrastructure owners and investors to maximize the value of their assets, therefore making them a worthwhile business investment. The fault doesn't lie in these traditional systems, as they were never designed to work in that capacity. As such, they currently present the following barriers: that result in inefficiency, redundant data and effort, reduced productivity, increased costs, and conflicting sources of information. ligent information, reducing the ability to capture and effectively disseminate information in a way required AUTODESK The U.S. infrastructure-investment market is immature compared to other countries worldwide, and, to date, it hasn't provided many opportunities to investors. The lack of sustained investment in infrastructure is mainly due to a few overlapping issues: Using BIM for infrastructure can help close the funding gap by reducing costs and increasing potential sources of funding with more predictable return on investment. (Growth scenario from CG/LA Infrastructure LLC, "The Global Infrastructure Marketplace: The Next 20 Years.") 2 O 1 3 / W W W . G E O P L A C E . C O M 27