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Case Study

Leveraging Big Data to Improve Customer Service

Our client is a retail company that sells consumer electronics through its physical stores and online platform.


Client was also able to improve their customer service by using the data to identify patterns in customer support interactions. With our implementation they were able to identify common issues and implement solutions to prevent them from recurring.

Overall, by leveraging big data, client was able to improve its understanding of its customers and use this information to drive its business forward.

  • >>Problem

    Client was facing challenges with understanding its customer behavior and preferences. They had a large amount of data on customer purchases, website browsing behavior, and customer support interactions, but they were struggling to make sense of this data and use it to improve their business.

  • >>Solution

    Client worked with us to develop a big data analytics solution. We help them to ingested all of their customer data into a big data platform using Hadoop, and used Apache Spark for data processing and Apache Kafka for data streaming. We also used machine learning techniques to analyze the data and uncover patterns and insights.

  • >>Results

    By leveraging big data solution, client was able to gain a much deeper understanding of its customers. They were able to segment customers based on their behavior and preferences, and tailor their marketing efforts to specific segments. They also used the data to identify products that were particularly popular with certain segments, and used this information to inform their inventory management and purchasing decisions.

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