AMOREPACIFIC Evolves into a Data Specialist Using Cloud

[Digital Today Reporter Chigyu Hwang] Amorepacific, a beauty company with brands such as Laneige and Sulwhasoo, is accelerating its transformation into a data specialist using cloud-based technologies.

AMOREPACIFIC shared its digital transformation strategy using AWS at the AWS Summit Korea 2021 event held online on the 11th.

Sung-Bong Hong, Chief Digital Technology Officer of AMOREPACIFIC, said, “We are actively using AWS cloud-based storage, data analysis and processing services for new customer service. I’m doing it,” he said.

Serving consumers in the U.S., Asia, Australia, Europe, India, Russia, and UAE, Amorepacific currently operates more than 100 workloads on AWS, including digital sales systems. That we are continuing to expand and relocate.

By transferring workloads including membership, CRM and full-filment to AWS, AMOREPACIFIC will reduce the cost of operating the data analysis platform by 34% and accelerate the development of new services such as real-time customized product recommendations based on customer skin type and tone I expected to be able to.

In the big picture, AMOREPACIFIC’s move is part of its journey to transform into a data specialist.

In 2018, AMOREPACIFIC introduced the Digital Strategy Unit and began strengthening data capabilities in earnest.

Since then, AMOREPACIFIC has introduced AWS services ranging from product and service development and analysis, machine learning, managed database, storage, serverless, security, and data warehouse. The company-wide data platform is operated on the AWS Cloud to identify and analyze changes in customer and market data, and utilize it for data-based decision making and business operations.

According to the company, Amorepacific collects and analyzes data such as sales, growth, and trends related to the performance of brands, channels, countries, and products through AWS. CDTO Hong Seong-bong said that through the cloud, it is possible to search hundreds of filter conditions in less than a second and identify customer characteristics of more than 30 brands.

To this end, AMOREPACIFIC is a cloud big data platform’Amazon Elastic MapReduce’ that processes data using open source tools such as Apache Spark, Apache Hive, Apache HBase, Apache Flink, Apache Hoodie, and Presto, and ‘Amazon Athena’, an interactive query service that facilitates data analysis, and’AWS Clue’, a serverless data preparation service that supports ETL operations (extract, transform, load) for analysis and machine learning. Introduced.

Through this, customers can receive personalized recommendation service as well as save time by receiving the most relevant product reviews through personalized real-time recommendation service, explained Amorepacific.