Geographical analyses with KNIME and Tableau
Locational intelligence for store networks, service areas and sales regions.
- Locational intelligence
- Locations' potential catchment areas
- Overlap in catchment areas
- White spots analysis for areas without coverage
- Store network analysis and management
- Demography, purchasing power and customer profile per service area
- Regional divisions for sales managers
- Visitor streams (before and after store visit)
- Drive times to and from locations
- New location analytics
What options are available?
Basic module: visualising your own locations.
Optional extensions:
- competition analysis, including overlap and white spots
- investigating cannibalisation between your own locations
- travel times for customers and employees
- demographic data from CBS
- consumer data from Whooz (Experian)
- buying behaviour and intention
- regional (re)distribution of the sales organisation
- target group analyses
- your own information, e.g. cash register data, customer loyalty cards or your own customer survey
At the desired level of detail, including:
- district, neighbourhood and municipality
- 2-digit, 4-digit or full postcodes
- distance and radius as the crow flies, derived from latitude and longitude
- distances and driving times based on a drive-time matrix
Which catchment area analyses are possible?
Catchment area analyses are possible in several ways:
- own locations vs. competitor locations
- difference in service level: on location, collection or delivery
- difference in own store formats and reach, for example S, M, L hardware stores, or supermarket formats for convenience (petrol) stations, city centres, residential areas or the periphery
Interested in geographical analyses?
Tell me about your locations and questions; I will come back with a first indication.