Business Intelligence in the Real Estate sector has been saved
Business Intelligence in the Real Estate sector
Real Estate Technology Trilogy – Part 2
The real estate sector is large and complex. The data circulating within these organizations even more so. Even though this information is complex, this does not mean it should be left untouched. The data is quite often relevant for tax, audit, finance, marketing or human resources purposes. It contains useful information and represents missed opportunities when not interpreted fully or accurately. When used correctly, it steers efficiency-optimizing decisions that yield higher returns and lower costs. Take control of this data treasure within your organization and turn it into knowledge.
Consider the massive volume of information in your business that is collected on a daily basis. Let’s take all real estate objects for example. One object has various parameters of information tied to it. Parameters include, but are not limited to the property address, property type, market value, gross and net rental price, energy label, square footage, tenants, and much more. Some data is variable, some data is not subject to much change. If you multiply this data by
couple of tens of thousands (or more) for the total number of properties in your administration you are left with a large dataset. This information is neatly stored and administered within your system. Now, what might you do with it?
This article is written by Asim Risljanin (Deloitte Business Process Solutions, 2020) and second in a trilogy discussing Robotic Process Automation, Data Analytics and Business Intelligence in the Real Estate sector. Click the download button to read the full report. To learn more about Deloitte Real Estate Services, find our brochure here or contact Loes Bierenbroodspot or Henk de Graaf directly (information below).