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Perspective on Building Analytics Adoption
| Content Provider | Scilit |
|---|---|
| Author | Shircliff, Tom Murchison, Rob |
| Copyright Year | 2021 |
| Description | Building analytics and primarily building energy analytics is poised to have a profound effect on facility and property management. Building analytics are an important part of an industry moving towards data driven buildings whereby not only operational methodology but even capital investment decision-making is determined by data. This is the manifestation of “big data” and “cloud” in the real estate industry, which is part of a trend in nearly all industries of leveraging softer, less expensive technology to lower operational costs. This is especially notable in real estate because of a general reluctance to mix information technology (IT) into traditional design, development and operations. Book Name: Automated Diagnostics and Analytics for Buildings |
| Related Links | https://content.taylorfrancis.com/books/download?dac=C2014-0-34300-3&isbn=9781003151906&doi=10.1201/9781003151906-4&format=pdf |
| Ending Page | 28 |
| Page Count | 6 |
| Starting Page | 23 |
| DOI | 10.1201/9781003151906-4 |
| Language | English |
| Publisher | Informa UK Limited |
| Publisher Date | 2021-01-07 |
| Access Restriction | Open |
| Subject Keyword | Book Name: Automated Diagnostics and Analytics for Buildings Architecture Decision Making Building Analytics |
| Content Type | Text |
| Resource Type | Chapter |