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Ecommerce data management and analytics solution for the Honest Company
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:
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Aggregate the company’s data from multiple data sources into one location using ETL jobs
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Transform the data into a proper structure along the way to make it more suitable for reporting purposes
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Create CSV reports for the analytics team
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Collaborate with product teams to define the best reporting format
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Analyze incoming data structures
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Define data transformation rules
Solution
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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.
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A number of SQL scripts for Redshift to create CSV reports that contain data about online orders, quantities, prices, etc.
Impact
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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.
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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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