Data Governance and Standards – The Key to Intelligent Buildings
The importance of providing a well-defined data governance strategy and adopting standards is more important than ever in our quest to define, design and deliver intelligent buildings. This topic has been the subject of panel discussions, presentations and educational sessions in Realcomm conferences for the past 15 years, but we still have much work to do.
With the rapid growth of the Internet of Things (IoT), the need to define and adopt common data standards has gained even more importance. The Open Standards Consortium for Real Estate recently launched the OSCRE Academy to help define what data governance means and how we can achieve a higher level of understanding and adoption.
The built environment depends on three basic types of data:
- Spatial (or geospatial) data – This is the type of data found in Geographic Information Systems (GIS) and applications. A GIS lets us visualize, question, analyze and interpret data to understand relationships, patterns and trends.
- Graphic data – Within the built environment, graphic data typically means 2D or 3D drawings, diagrams, charts, photographs, videos or images.
- Tabular data – A table is an arrangement of data in rows and columns or possibly in a more complex structure. Tables appear in print media, handwritten notes, computer software and many other places.
How do we get there? Like any journey, it starts with a map with an origin and a destination. We can define our starting point, our origin, by conducting an assessment of what data do we have, what does it look like, how is it organized and how is it documented. Our destination is where we would like to be to achieve a higher level of standardization with mature business processes and greater levels of efficiency and data optimization.
Let's take a simple example of how we can define, design and deliver a set of data standards for a new building: Space IDs. Unique identifiers for space, commonly known as room numbers, may seem like something that is easily defined and understood by all stakeholders. The traditional process of naming rooms or creating space IDs starts with the architect. Room names and numbers are assigned on a set of schematic design documents that may or may not be carried over into the construction documents by the contractor.
By the time a design advances through the design phases of schematic, design development and construction documents, rooms are added, more spaces get defined and finally – once the furniture, fixtures and equipment are added – there may even be more space IDs, down to the work station level. Building owners and operators or Facility Managers (FMs) may have their own way of identifying, tracking and managing space within their space management or Integrated Workplace Management Systems (IWMS) or applications.
Wouldn’t it be great if we could begin with the end in mind and have the same set of space IDs throughout the entire process? It is certainly possible to have the same set of space IDs in a set of construction documents, or a Building Information Model (BIM), throughout the entire lifecycle if all of the key stakeholders agree on a naming convention (i.e. data standard) during the schematic design phase so that the architects, engineers, contractors, suppliers, vendors and ultimately the owners and operators of a building all use the same set of standards for their spatial, graphic and tabular data. This is a common practice in an Integrated Project Delivery (IPD) process, but that is a subject for another day.
To learn more about data standards and how they can be applied to the design and construction of Intelligent Buildings, visit the OSCRE Academy website or contact the Intelligent Building Practice within ESD.
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Commercial Real Estate Information Management - Best Practice Showcase - 5/10/2018
Years ago, the choices were much simpler. Property Management, Accounting and Email were all you needed to run a Commercial Real Estate organization. Fast forward to today and the complexity of the industry’s information management requirements have grown exponentially. Single stack, integrated best-of-breed, and open ecosystems are all options under consideration. Databases, warehouses and now lakes, as well as new technologies such as AI, Machine Learning and Blockchain all add to the growing complexity of real estate information management strategy. Additionally, there are thousands of new companies that want to be part of the solution. Join the debate as best practices are uncovered.
Founder of Realcomm Conference Group, an education organization that produces Realcomm, IBcon and CoRE Tech, the world's leading conferences on technology, automated business solutions, intelligent buildings and energy efficiency for the commercial and corporate real estate industry. As CEO, Jim interacts with some of the largest companies globally pertaining to some of the most advanced and progressive next generation real estate projects under development.
Sam Wong is Head of Analytics and Data Science at QuadReal. He has over 15 years of experience in Analytics and has worked within numerous industries with a wide range in technologies. Sam is a featured speaker on Data Science and Analytics, most recently he spoke at the 2018 Gartner Data and Analytics Summit and at IBM THINK 2018.
Chong P. Huan is Executive Vice President and Chief Information Officer at Inland Real Estate Group. Chong has over 22 years experience and a Proven track record in aligning business with vision and IT strategies to achieve efficient and cost-effective IT organizations. Diverse expertise in financial products and services, order and portfolio management, risk management, securities trading, processing, research and operations with IT acumen to achieve growth and enhance shareholder value.
Brian Zrimsek is Industry Principal at MRI Software. Brian brings 25 years of large scale enterprise software experience to MRI, most recently as an IT Vice President at the Irvine Company. With over a decade of experience in real estate technology he has become a well-known subject matter expert, industry panelist, and trusted advisor, especially within the multifamily real estate market.
Abhinav (Abe) is an experienced investment, financial, technology, business development and operations strategist. He is currently the Chief Revenue Officer for LEVERTON. Abe has worked with many law firms and institutions over the years and has a deep understanding of the real estate technology / CREtech / PropTech space. With LEVERTON, Abe is revolutionizing how corporations use artificial intelligence based machine and deep learning algorithms for data extraction.
Alex Stanton has over 20 years working with in the real estate application space. Currently as VP of Solution Consulting for Yardi Systems, he leads the solution presales team, who work with customers and prospects to explore how to address business needs. Alex’s recent areas of focus has been to work with clients on the real estate specific applications of cloud, mobile, 'big data' and energy.
Jeff Thompson is co-founder and CEO of AwareManager. He leads the company's commercial and corporate real estate clients’ most complex projects. By combining his industry and IT expertise, Jeff helps organizations get data models set up correctly from the very start and helps them overcome major hurdles to user adoption, data-driven decision-making and stakeholder engagement.