The Data revolution has come about due to the huge increase in the amount of information we're able to capture and analyse from an ever growing number of sources. Data is transforming everything; especially data in real time. Data can change the way companies in every industry do business and assess and manage operational performance. Corporations are directing executives and managers to implement or improve upon organizational initiatives such as Sustainability, Energy Management, Maintenance, Operation Management, Capital Improvements, Project Management and Facility Management.
We’ve all heard of the advertising slogan, “Pork, the Other White Meat“. Well, in the Internet of Things, we have the other “I" in IoT.
When we see, hear and mention IoT, we immediately think the “I” refers to the Internet and rightly so, it does. However, there is another “I” that gets lost in all the jargon. This “I” sits quietly behind the scenes in a true IoT environment and is equally as important and deserves its place in the spotlight.
Buildings and facilities can achieve superior performance by extracting insights from data. When it comes to data, it is one thing to have access to data, it’s another to make it actionable.
Device data is stored and communicated in many different formats. It has inconsistent, non-standard naming conventions, and provides very limited descriptors to enable us to understand its meaning. Without meaning, time consuming manual efforts are required before the data can be used effectively. The result is that the data from today’s devices, while technically “available”, is hard to use, thus limiting the ability for building operators to fully benefit from the value contained in the data.
Accessing data from existing building automation systems is critical to any smart building project. The advent of standardized protocols have taken us from the initial challenge of connectivity to our equipment systems to the new frontier of data management and the end to end processes involved in effectively utilizing our data. Challenges remain in the areas of data collection, processing and integration of data from diverse systems and devices. Add to this, the techniques and methodologies for managing, presenting, analyzing and deriving value from this data....