Governed Data Lake for Customer Critical Data Analytics
Retail chains that have brick and mortar stores as well as online platforms often struggle in identifying the customers visiting their site. Even with all the information available at their disposal, the probability of identifying the customers accessing their website is a mere 30%. This blog discusses on the system used to tracking and identifying customers who interact with our client’s online portal and then shop in-store and vice-versa. Benefits Identifying the change in customer preference based on the changes in climate and geography and its impact on the customer’s buying patterns is possible only if the system can synthesize fragments of customer data existing in data lakes and create a customer 360 view. Identifying potential correlations of these factors with their buying pattern would enable our clients to target potential customers with more relevant marketing messages and customized offers. Building the Data Lake using Big Data Technology The above ...