This blog post is the second of a 2-part introductory series on Data Analytics in Commercial Real Estate. In part 1, we showed that data analytics leverages verified data to reach decisions rather than using intuition or guesswork and is core to driving strategic business decisions.
Implementing or improving a data analytics program in commercial real estate requires upfront planning and several critical steps. Here’s a quick checklist to follow:
This is the 3rd article of a 4-part introductory series on Managing Security Risks in Smart Lighting Systems. In this series, learn about best practices, based on NIST standards and guidelines, for identifying and mitigating cybersecurity risks and threats, as well as implementing cybersecurity controls on an organizational level. The first article introduced the concept of a multi-tiered approach to smart lighting system cybersecurity. The second article focused on two key security control families: access control/identification and authentication. In this third article, we’ll focus on Building Automation and Control System security control families that relate to system and communication protection, and system and information integrity.
We are seeing rising sea levels, increases in heat waves, dramatic glacier melt, and a longer more extreme wildfire season all due to climate change. In Boston, July 2019 was not only the hottest July recorded, but the hottest month on record. That same month the U.K. experienced their highest temperature ever recorded and this was after setting records during the previous month in June 2019.
“Data” is increasingly important to all organizations in the way that energy, raw materials and talent are. It has become an essential resource – table stakes, really – for today’s operations. And while “big data” is a buzzword that sometimes deters decision-makers from paying further attention to the topic, there are compelling reasons to look past the hype and focus on substance instead; that is, to put technology to work to extract business value from data.
Gartner, a global research and advisory firm defines big data as high-volume, high-velocity and/or high-variety information assets that demand cost-effective, innovative forms of information processing that enable enhanced insight, decision-making, and process automation.
This is the second blog post of a multi-part introductory series on Managing Security Risks in Smart Lighting Systems.
The Internet of Things (IoT) is widely entrenched in education today with distance and online learning, learning management systems, and completely virtual universities. With cloud-connected devices, students can take a class from an Ivy League university right from their home, prep for the SAT with an online tutor, and learn just about any skill by viewing a YouTube video.
Most facility managers today are using building management systems (BMS), also known as building automation control systems (BACS), to control and monitor some of their buildings’ mechanical and electrical equipment such as heating, ventilation, air conditioning (HVAC), and safety and security systems. Centrally managing these individual systems has enabled facility teams to take advantage of a number of operational and energy efficiencies. For many facilities, however, the lighting system has remained separate from the BMS. This has translated into an opportunity loss. Further optimization of energy usage and operations through lighting system and BMS integration could be significant.
Sustainable building practices are on the rise and that’s good news because buildings account for almost 40 percent of all carbon emissions. LEED, (Leadership in Energy and Environmental Design) provides a framework to create healthy, highly efficient and cost-saving green buildings. It is the most widely used green building rating system in the world, and is available for virtually all building, community, and home project types. LEED certification is a globally recognized symbol of sustainability achievement.