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Geographical analyses with KNIME and Tableau
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Locational intelligence
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Locations' potential catchment areas
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Overlap in catchment areas
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White spots analysis for areas without coverage
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Store network analysis and management
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Demography, purchasing power and customer profile per service area
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Regional divisions for sales managers
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Visitor streams (before and after store visit)
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Drive times to and from locations
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New location analytics
What options are there?
basic module: visualizing your own locations
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optional extensions:
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competition analysis, including overlap and white spots
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investigate cannibalism by own locations
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travel times for customers and employees
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demographic data from CBS
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consumer data from Whooz (Experian)
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buying behavior and intention
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regional (re)distribution of sales organization
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target group analyses
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own information, e.g. cash register data, customer loyalty cards or own customer survey
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at the desired level of detail, including:
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district, neighborhood and municipality
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2-digit, 4-digit or full zip codes
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distance and radius as the crow flies derived from latitude and longitude
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distances and driving times based on a drive time matrix
Which catchment area analyses are possible?
Catchment area analyzes are possible in several ways:
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own locations vs. competitor locations
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difference in service level: on location, collection or delivery
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difference in own store formulas and reach, for example: S, M, L hardware stores or supermarket formulas for convenience (gas) station, city center, residential area or periphery