RTÉ uses Xtremepush to drive its integrated digital strategy
公司规模
SME
地区
- America
国家
- United States
产品
- amigoCollect
技术栈
- Android
- Bluetooth GPS receivers
实施规模
- Enterprise-wide Deployment
影响指标
- Productivity Improvements
- Cost Savings
技术
- 平台即服务 (PaaS) - 数据管理平台
适用功能
- 现场服务
服务
- 数据科学服务
关于客户
Althouse and Meade Incorporated is a privately-owned consultation firm that provides environmental services based out of Paso Robles California. Their services include, but are not limited to, biological surveys, wetland delineations, rare species surveys, environmental investigations, and habitat restoration. Founded in the year 1999, Althouse and Meade (A&M) has steadily increased in size and has successfully completed more than twelve hundred client projects since their foundation. A&M is a team of highly qualified staff committed to producing science-based objective research, impact assessments and solution based analyses using GIS.
挑战
Althouse and Meade Incorporated, a privately-owned consultation firm that provides environmental services, was facing challenges with their traditional data collection methods. They were using Trimble GeoXT units to collect GPS coordinate data which was then matched with a data sheet to record associated attributes. However, this method was slow and not suitable for larger scale data collection. As the amount of spatially attributed data that needed to be collected continued to grow, A&M needed to find a solution to meet the growing demand. The main issue that sparked the need to search for a new data collection solution, was that the company was now receiving contracts that required higher amounts of spatial data to be assembled. Specifically, in 2015, A&M was tasked with mapping a high number of different rare plant species. With the sheer amount of plant data that needed to be collected, the traditional Trimble unit and datasheet method was no longer a viable solution for this project.
解决方案
After one trial version with AmigoCloud, A&M discover that amigoCollect solution was the perfect fit to completely replace the conventional methods of the Trimble and a paper datasheet. With amigoCollect, data installation, training, and organization of the data that was being collected was straightforward and user friendly. Collecting spatial features along with the associated attribute data was now no longer an issue, or headache. A&M could now record a spatial feature, the latitude longitude coordinates as attributes, collect all other biological data attributes, build stand-alone forms, and upload it into the company’s own database; all with a few simple clicks.
运营影响
数量效益
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