Location data can be added to traditional business analytics systems like business intelligence (BI), customer relationship management (CRM), enterprise resource planning (ERP), and enterprise asset management (EAM).
Location data is a goldmine of information for businesses. It can be used to optimize business processes, manage and monitor assets, and improve customer relationships. But traditional business analytics systems do not yet incorporate location data into their analyses.
The addition of location data will add new dimensions to your analytics systems, making them more powerful and useful tools for your company.
By adding location data, you'll be able to analyze your data in new ways, including:
-Attribution modeling—determining the impact of different channels on revenue or conversions
-Understanding foot traffic patterns—looking at which areas are most profitable based on foot traffic patterns
-Comparing sales by location—comparing sales by location within a city or state
Gonigs can help you bridge the gap between your existing BI, CRM, ERP, and EAM systems and location data. We offer a range of services that take your location data and integrate it with your existing business analytics systems:
-Geo-tagging: We add location data to existing datasets so that you can see where your customers are when they interact with your company.
-Geocoding: We map addresses to latitude/longitude coordinates so that you can analyze them by region as well as by neighborhood or city block/district.
-Geospatial analysis: We perform spatial analysis on location data so that you can determine how far people have traveled to visit your store or office, or what routes they take when making deliveries or visiting clients/customers.
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