The real estate industry has tended to be late to the game in terms of new technologies. But, as data volumes increase and the value of predictive analytics and machine learning applications becomes more apparent, many firms within the commercial real estate industry are starting to embrace data as a strategic asset.
Realizing the full potential of your data assets is not an easy task, though. Going beyond standardized property information and mining novel, actionable insights from hundreds of potential data points and variables requires a proactive, comprehensive approach to data management and governance, which many firms still lack.
Composable DataOps is a set of tools and framework for engaging data that empowers estate firms to extract maximum business value from those assets, while lowering complexity, reducing engineering man-hour, and improving the outcome of data science workflows.
Join our mailing list for info, news and announcements.
Real Estate purchases are driven by a specific mix of features about the property itself, the surrounding area, and larger market trends. While some basic real estate information has been democratized by sites like Zillow, achieving a data-driven competitive edge requires going much further and integrating first-, third- and fourth-party datasets about pricing, zoning, historical trends, climate and weather, and many other details in an efficient and seamless way.
The automated data pipelines that are central to the Composable DataOps model can help ensure you’re fueling your analytics programs with the best data available while also reducing the costs and resources those applications typically require.
Automated extraction, transform, and load processes
Traditional data management models required that data engineers code complex scripts to ingest and map new data onto data lakes. These scripts are both labor intensive and error-prone, injecting inefficiency into data management workflows. Sometimes, this complexity undermines an analytics effort entirely by obscuring the potential return on investment (ROI).
In the Composable DataOps model, virtually all the tasks related to ingesting and cleansing new data are automated. Borrowing concepts from the DevOps model, Composable DataOps tools are designed to facilitates a cultural shift away from monolithic “waterfall” data science projects, toward an agile model built around the continuous integration, and continuous deployment of data assets.
There are several ways that commercial real estate firms benefit from the composable data pipelines.
Internet of Things (IoT) sensors are now deployed throughout real estate assets to help streamline the property management process. At the most basic level, IoT devices can capture energy consumption patterns, deliver building maintenance services, track user operations, and enable more predictive maintenance. But a new generation of IoT devices are being used in more advanced scenarios cases as well, such as capacity management, sustainable energy distribution, and “smart building” management.
A centralized platform for processing, orchestrating, and analyzing IoT data allows you to increase the number of devices you’ve deployed and deepen the insight produced by analytics applications, without adding management complexity.
Unlike the standard DataOps models, Composable DataOps is built with a flexible, modular architecture. By accessing required services as needed through application programming interfaces (APIs), Composable DataOps platforms can easily interwork with any cloud platform or IoT messaging protocols, such as MQTT, OPC, and AMQP, as needed.
Providing an overall positive experience for your tenants helps keep them in their lease longer and lowers your vacancy rate. These two benefits alone make it a worthwhile function for any commercial real estate firm, which is feeling economic pressure from both co-working spaces and the COVID-19 pandemic.
Combining a Composable DataOps platform with IoT sensors or a system for gathering tenant feedback provides a solid platform to begin making data-driven improvements to your tenant satisfaction.
One of the most effective tools and underappreciated strategies for improving tenant experience is to leverage your company’s unstructured data assets, like emails and written correspondence. With built-in enterprise AI and optical character recognition (OCR), Composable DataOps extracts valuable information from those assets and integrate them into your data workflows, without any manual input from your data engineers.
Sales and marketing teams manage an enormous volume of data. Building a comprehensive systems for measuring, tracking, and utilizing website metrics, customer relations management (CRM) fields, advertising analytics, and call center data is a chronic source of pain for many marketers.
A Composable DataOps platform allows sales and marketing departments to access and utilize each of those assets as needed, creating seamless, data-driven marketing workflows that close the gap between disparate teams and help your team create robust, actionable profiles for each prospect.
Combining a Composable DataOps platform with IoT sensors or a system for gathering tenant feedback provides a solid platform to begin making data-driven improvements to your tenant satisfaction.
One of the most effective tools and underappreciated strategies for improving tenant experience is to leverage your company’s unstructured data assets, like emails and written correspondence. With built-in enterprise AI and optical character recognition (OCR), Composable DataOps extracts valuable information from those assets and integrate them into your data workflows, without any manual input from your data engineers.
Want to learn more about how the Composable DataOps model helps transform commercial real estate firms into truly data-driven organizations? Schedule a DataOps Consultation right here on our website.
Composable Analytics, Inc. builds software that enables enterprises to rapidly adopt a modern data strategy and robustly manage unlimited amounts of data. Composable DataOps Platform, a full-stack analytics platform with built-in services for data orchestration, automation and analytics, accelerates data engineering, preparation and analysis. Built with a composable architecture that enables abstraction and integration of any software or analytical approach, Composable serves as a coherent analytics ecosystem for business users that want to architect data intelligence solutions that leverage disparate data sources, live feeds, and event data regardless of the amount, format or structure of the data. Composable Analytics, Inc. is a rapidly growing data intelligence start-up founded by a team of MIT technologists and entrepreneurs. For more information, visit composable.ai.
Transform your enterprise into a digital leader in minutes, powered by scalable, secure DataOps in the cloud
Join our mailing list for info, news and announcements.
Zero Spam.
Composable’s mission is to enable every organization to become a digital master by adopting a disciplined and intelligent approach to Data Operations and Enterprise AI. The Composable DataOps Platform, built on years of technology development at MIT and the US Department of Defense, now enables leading organizations to build data-intensive Enterprise AI applications.
