Should I expand my stores to other cities in 2022?
Retail store expansion strategies are one of the most fundamental issues for growing retailers. Opening a new store can be a game changer if you get the location right, or
Tag Archives: machine learning
March 16 of 2022
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Footfall analysis of a historical site in Mexico City
Footfall analytics based on Big Data techniques allow businesses to understand a point of interest and with it, implement strategies, expansion strategy models and solutions within retail and wholesale markets,
March 11 of 2022
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How to create the best branch expansion strategy?
To ensure the success of branch expansion strategies for site selection plans, it’s necessary to compare the business model with the the potential market needs and build the corresponding strategy,
March 11 of 2022
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Top 10 Uses Cases of foot traffic in public transport
Foot Traffic analytics can identify the characteristics of transit stops and routes, helping to determine and improve the overall coverage of any transit system.
When it comes to public transport,
March 8 of 2022
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Footfall analytics for site selection strategies
The secret to site selection in such a competitive market is based on the ability to analyze the right data and be able to understand and interpret the site selection
March 8 of 2022
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Predictive models for maintenance services
Predictive maintenance based on big data and geospatial data seeks to define the best time to perform work on an asset, so that maintenance frequency is as low as possible
February 28 of 2022
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Uses and applications of Big Data for Deliveries
Delivery companies leverage location intelligence to have better market capture and maximize customer experience.
More and more businesses are getting into the product delivery business. This quest, in turn, has
February 28 of 2022
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Advertising agencies and Big Data benefits
With advertising analytics based on big data techniques, marketers can quickly determine the effectiveness of each channel and thus adjust their strategies, enabling them to run hyper-targeted campaigns, choosing the