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Client
The Honest Co is a wellness brand producing safe beauty, skincare, baby care and home-cleaning products
Services
Data Management, Data Migration, Data Analytics
Industry
Ecommerce, FMCG
Tech
MySQL, Google BigQuery, Hadoop, Spark, Hive, Redshift, Java/Scala, Databricks, Amazon S3

Challenge

Robust data is hands-down at the heart of every strategic business decision. Consolidating data from diverse sources into a single view is critical to making data-informed decisions at the speed of business. The client asked our team to help them handle their company’s data: prepare statistics data from online shops for data warehouse and reporting.

Specifically, our team took on the following challenges:
●
Aggregate the company’s data from multiple data sources into one location using ETL jobs
●
Transform the data into a proper structure along the way to make it more suitable for reporting purposes
●
Create CSV reports for the analytics team
●
Collaborate with product teams to define the best reporting format
●
Analyze incoming data structures
●
Define data transformation rules

Solution

●
A number of ETL scripts to load data from multiple data sources such as Google BigQuery and Amazon S3 into the Apache Hive data warehouse.
●
A number of SQL scripts for Redshift to create CSV reports that contain data about online orders, quantities, prices, etc.
solution for The Honest Company
The Honest Company solution

Impact

●
The analytics teams leverage the exported CSV reports to analyze the audience, their activity and preferences and derive meaningful analytics insights at the point of need.
●
The ETL and SQL scripts made it much easier to transfer the data into different storage, restructure it for quick analysis and reporting, and export it in a readable format, which would take a good deal of time if done by hand.

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