The choice of a location for a new office, store or building depends on multiple factors and the result has long-term consequences. Smart companies enhance the decision-making process by incorporating third-party data, including locations, potential consumers, competitors, demographics, taxes and local economic factors. But it is prohibitively time-consuming to manually assemble and harmonize data from such a wide variety of sources.
Automated analytics allow FP&A groups to create an automated data pipeline for reliably mapping siloed data sources to one another and defining relationships among them. The result is a set of sentiment analysis tools and predictive models that help Finance to identify trends, chart tenant churn and analyze the state of the market. Companies can enhance their real estate planning with built-in spatial and address tools, plus data sets from which they can discover insights about businesses and locations.
With Alteryx, you can:
- Create workflows for data cleansing using proximity-based matching
- Use predictive analytics to build models on probability of tenant churn, risk involved with adding new locations, or get a macro view of local markets
- Perform sentiment analysis on thousands of prospects and customers at a time