JLL: Business Productivity Through Real Estate Data
10 Nov, 2014
Major corporations across the globe are finding a surprising link to business productivity from the data generated in their real estate operations and portfolio. According to JLL experts, real estate data and analytics should be considered an essential element of how corporations make capital investments and occupancy decisions to improve their overall productivity.
JLL is a professional services and investment management firm offering specialized real estate services to clients seeking increased value by owning, occupying and investing in real estate.
The JLL experts have identified three primary areas where companies can use data from their real estate portfolios, buildings and workspaces to decrease spending while increasing productivity:
1) Predictive analysis: where do you need employees? Predictive analytics tools can be used to create better-informed and more cost-effective corporate real estate strategies. New data analytics platforms enable teams to incorporate such disparate factors as lease expirations, projected capital investments and macro-economics to validate strategic location, investment, acquisition and disposition recommendations.
Case in point: a multi-national pharmaceutical company used a corporate real estate portfolio data and business intelligence tool to aggregate and analyze more than 100,000 real estate portfolio and business data points with on-the-ground market intelligence, creating a multi-phase strategy for reducing ongoing facilities costs by more than $200 million.
2) Challenging assumptions: which building sustainability programs make the most business sense (and cents)? Many studies have linked green offices to improvements in productivity. Today, companies are increasingly using data and analytics techniques and technologies to uncover which green programs achieve the most immediate and impactful productivity gains. Armed with this information, companies are making data-driven decisions and increasing returns on investment in green initiatives.
Case in point: a multi-national company seeking to green its corporate offices used a Web-based software tool to track approximately 100 detailed best practices relating to energy, water, carbon use and waste. They measured this against employee well-being and productivity markers such as thermal comfort, indoor air quality, visual comfort and other features. By benchmarking each facility in its portfolio and adopting best practices to improve acoustics, ergonomics, flexible workspaces and hoteling, the company was able to find more than $160,000 in productivity gains in a single facility. That number, if multiplied across a global portfolio of thousands of locations, clearly shows the power of analytics.
3. Smarter building management: What can your buildings tell you? Today’s smart building technologies generate enormous volumes of data. In fact, a new report by CoreNet Global and the Rocky Mountain Institute found that smart buildings are not only useful for saving energy costs (10 to 15 percent or more, depending on the current efficiency of the building) but also helping maintenance staff be more productive. The report cites that rich data streams from smart building technology can also provide insight into space utilization that can lead to additional energy and cost savings.
Case in point: a global consumer goods company used JLL’s smart building management platform to reduce energy costs by an average of 8 to 10 percent across a mixed-property portfolio, achieving payback on investment in less than a year.
“Applying data and analytics to forecast capital needs and mining data smart buildings, real estate portfolio dashboards, and environmental sustainability programs can reveal significant hidden savings and productivity gains that impact an entire organization,” says David Kollmorgen, head of business intelligence at JLL.
For complete details, visit www.jll.com.
Source: Press release from JLL, October 27, 2014
Illustration by foto76 at Free Digital Photos.net
JLL: Business Productivity Through Real Estate Data
10 Nov, 2014
Major corporations across the globe are finding a surprising link to business productivity from the data generated in their real estate operations and portfolio. According to JLL experts, real estate data and analytics should be considered an essential element of how corporations make capital investments and occupancy decisions to improve their overall productivity.
JLL is a professional services and investment management firm offering specialized real estate services to clients seeking increased value by owning, occupying and investing in real estate.
The JLL experts have identified three primary areas where companies can use data from their real estate portfolios, buildings and workspaces to decrease spending while increasing productivity:
1) Predictive analysis: where do you need employees? Predictive analytics tools can be used to create better-informed and more cost-effective corporate real estate strategies. New data analytics platforms enable teams to incorporate such disparate factors as lease expirations, projected capital investments and macro-economics to validate strategic location, investment, acquisition and disposition recommendations.
Case in point: a multi-national pharmaceutical company used a corporate real estate portfolio data and business intelligence tool to aggregate and analyze more than 100,000 real estate portfolio and business data points with on-the-ground market intelligence, creating a multi-phase strategy for reducing ongoing facilities costs by more than $200 million.
2) Challenging assumptions: which building sustainability programs make the most business sense (and cents)? Many studies have linked green offices to improvements in productivity. Today, companies are increasingly using data and analytics techniques and technologies to uncover which green programs achieve the most immediate and impactful productivity gains. Armed with this information, companies are making data-driven decisions and increasing returns on investment in green initiatives.
Case in point: a multi-national company seeking to green its corporate offices used a Web-based software tool to track approximately 100 detailed best practices relating to energy, water, carbon use and waste. They measured this against employee well-being and productivity markers such as thermal comfort, indoor air quality, visual comfort and other features. By benchmarking each facility in its portfolio and adopting best practices to improve acoustics, ergonomics, flexible workspaces and hoteling, the company was able to find more than $160,000 in productivity gains in a single facility. That number, if multiplied across a global portfolio of thousands of locations, clearly shows the power of analytics.
3. Smarter building management: What can your buildings tell you? Today’s smart building technologies generate enormous volumes of data. In fact, a new report by CoreNet Global and the Rocky Mountain Institute found that smart buildings are not only useful for saving energy costs (10 to 15 percent or more, depending on the current efficiency of the building) but also helping maintenance staff be more productive. The report cites that rich data streams from smart building technology can also provide insight into space utilization that can lead to additional energy and cost savings.
Case in point: a global consumer goods company used JLL’s smart building management platform to reduce energy costs by an average of 8 to 10 percent across a mixed-property portfolio, achieving payback on investment in less than a year.
“Applying data and analytics to forecast capital needs and mining data smart buildings, real estate portfolio dashboards, and environmental sustainability programs can reveal significant hidden savings and productivity gains that impact an entire organization,” says David Kollmorgen, head of business intelligence at JLL.
For complete details, visit www.jll.com.
Source: Press release from JLL, October 27, 2014
Illustration by foto76 at Free Digital Photos.net
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