Machine Learning: Making Sense of Messy CRE Data - Investor Management Services

In the world of commercial real estate, every activity involves data – spreadsheets with hundreds and even thousands of lines of information. But more often than not, this data is disordered and chaotic. CRE professionals are now beginning to leverage technology to clean up that messy data, a task which is a top challenge facing analysts today. The aggregation and pre-processing of data, commonly referred to as'data wrangling', accounts for 80 to 90% of any data analytics projects. It's a time consuming and expensive problem, and technology companies are racing to develop an innovative solution.