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In pursuit of business success , it is necessary to use solutions that provide access to a robust data analysis and visualization platform so new strategies can be efficiently and effectively implemented based on facts . formats , which makes combining and comparing the information more difficult . Moreover , data is not always up-to-date , consistent and complete when saved in diverse sources . Practical examples include loyalty campaigns tracking customer details but not always having the latest registered address , despite updated customer data in e-commerce systems . Therefore , alongside silos , data quality represents a significant problem for retailers .

The third challenge is analysis . Time availability is essential to make information actionable . Sufficient resources are needed to analyze and interpret the data first . repository for legal or fiscal use and inventory is in the back office .

Generally , the digital structure used in e-commerce is entirely separate from the physical operation of companies . Thus , the communication between departments and data integration into a single corporate framework does not happen in many Brazilian companies .

The second challenge relates to data quality . Separate structures with isolated data tend to be in different

Retailers struggle with complex and time-consuming processes based on outdated data , which seriously impacts decision-making , especially when it needs to happen immediately , in real-time . In pursuit of business success , it is necessary to use solutions that provide access to a robust data analysis and visualization platform so new strategies can be efficiently and effectively implemented based on facts .

By eliminating data silos and cross-referencing information , Brazilian brands will achieve better performance and accuracy in their business , transforming data into tangible commercial value . p

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