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Using our research, best practices and expertise, we help you understand how to optimize your business processes using applications, information and technology. We provide advisory, education, and assessment services to rapidly identify and prioritize areas for improvement and perform vendor selection
We provide guidance using our market research and expertise to significantly improve your marketing, sales and product efforts. We offer a portfolio of advisory, research, thought leadership and digital education services to help optimize market strategy, planning and execution.
Services for Technology Vendors
We provide guidance using our market research and expertise to significantly improve your marketing, sales and product efforts. We offer a portfolio of advisory, research, thought leadership and digital education services to help optimize market strategy, planning and execution.
Viewpoint
Better Real Estate Insights with External Data
In an ever-changing real estate market, data and economic indicators are essential to formulating financial strategies. External data, therefore, is key. It is used by planning and operations teams to benchmark a firm’s financial or operational performance. It enriches the data an organization collects and analyzes about customers, financial institutions, property managers, brokers and agents. It augments machine learning analyses to produce more accurate forecasting models. For both the residential and commercial sectors, demographic data is essential to understanding customers’ buying behaviors.
External data is an important part of real estate organizations’ analytics efforts. The most important external data source identified in our research is location sources, followed by economic data. Organizations also identified consumer demographics, business applications, market sources, government demographics, web applications and weather sources as important to their analytics efforts. External data is not just part of machine learning analyses, though. Our research shows that external data sources are also a routine part of data preparation processes with all participating organizations incorporating at least two external data sources, with 60% of those organizations using more than 11 sources.
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