As the amount of data grows, AI could be used to classify and store documents and even proactively alert when a new appraisal is due or a property explodes in popularity, for example. Machine-learning enabled search could help people quickly analyze the massive amount of search data that exists by pre-processing and tagging useful meta-data for all property-related documents in a company's repository. How can companies keep up? According to the Altus Group report, two of the biggest challenges facing firms in collecting or utilizing more data to drive decision-making are a lack of internal capability and lack of appetite from the company to invest in the required technology. To solve for these challenges, consider a PwC report's digital transformation strategies for real estate organizations, which include these four steps: