Use Case
Financial Planning & Analysis (FP&A) groups are charged with gathering data and generating reports on prospective real estate investments. But the data comes from multiple sources, making it difficult to draw a clear, comprehensive picture of the investment landscape.
Efficiency Gains
Develop new use cases from data prep and blend to predictive modeling
Top-Line Growth
Unite different divisions, skills and backgrounds to achieve the best outcomes and business results
Bottom-Line Returns
Deliver better and faster results with huge time savings and higher-quality data
Business Problem
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.
Alteryx Solution
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
Spatial Analytics Starter Kit: New Store Impact
1 – Data Connection
Combine customer data, existing store location data, and use the Map Input tool to select new store or competitor store locations for analysis
2 – Geospatial Analytics
Use the Find Nearest tool to measure distances between locations
3 – Advanced Analytics
Prep data for use in risk calculations or upload into dashboards to visualize the financial impact of each additional store location
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