Commercial real estate data and analytics platform CompStak has introduced Portfolios, a product that enables CRE professionals to aggregate, analyze and compare property data. With real-time insights and benchmarking capabilities, Portfolios streamlines workflows and empowers users to make smarter, data-driven asset management decisions, the company said.
For years, asset management professionals have struggled with the challenge of understanding the performance of their portfolios and the underlying assets in those portfolios against the market and their peers. Without a centralized tool powered by accurate market data, benchmarking entire groups of properties, tracking tenant risk exposure, and assessing portfolio performance against the market has been nearly impossible.
CompStak Portfolios provides a game-changing solution for asset management, acquisitions and REIT tracking.
“Over the past 13 years, CompStak has compiled the most robust, granular, and accurate database of lease and sale transaction data. With the launch of Portfolios, we’re taking CRE data analysis to the next level by allowing our clients to leverage that data in a robust benchmarking tool,” said Michael Mandel, CEO and co-founder of CompStak. “Our clients and users need real-time, accurate insights to make informed decisions. This new product offering not only eliminates the pain of manually tracking properties, but also provides powerful benchmarking and risk assessment tools for a strategic edge.”
Portfolios enables users to compare portfolio and asset performance against markets, submarkets and competitive properties; track portfolios and assets that are underperforming or outperforming to identify investment opportunities; track tenant and industry exposure, lease expirations and rent trends to proactively mitigate portfolio risks and centralized, real-time portfolio insights without juggling multiple datasets.
Portfolios is an addition to CompStak One, CompStak’s suite of CRE data solutions, including lease comps, sale comps, loan data, property information and analytics.
