CUSTOMER STORY
Region: EMEA
Industry: Retail and Consumer Goods
Department: BI/Analytics/Data Science
Company Background:
PDPAOLA is an online jewelry company with hundreds of unique, high-quality products.
Data Stack: Shopify, Google Cloud, Dataprep, BigQuery, Stitch, Data Studio.
PDPAOLA is an online jewelry company with hundreds of unique, high-quality products. While its underlying Shopify eCommerce platform provides helpful analytics about the products’ high-level profit margins, PDPAOLA knew that bringing in huge quantities of data to uncover more granular insights like net margins or contribution margins was the only way that it could differentiate itself from the market in the long run. But as PDPAOLA began to build out data pipelines using SQL on Google Cloud, it quickly realized that it would reach a scalability limit. Hiring other SQL developers and training those developers on the company’s unique processes would require lots of time and resourcing spend. PDPAOLA needed a platform that would increase automation so that it could scale without added spend.
PDPAOLA selected Google Cloud Dataprep because it natively integrates with the Google Cloud Platform, allowing the team to quickly begin migrating its work over to Dataprep. Now, the team works with Stitch to ingest a variety of data sources, Dataprep to build pipelines that clean and structure diverse data in BigQuery, and Google Data Studio for data visualization and reporting. Due to Dataprep’s automation, PDPAOLA has been able to quickly advance analytics efforts without hiring new employees. And even when new employees are hired on, Dataprep will allow them to get up to speed immediately through its visual data flows that depict exactly where data is coming from and how it’s being transformed. PDPAOLA is using Dataprep to fuel Data Studio dashboards that report advanced insights down to each individual SKU, which allow for smarter and more precise business decisions.
With Dataprep, just one employee can build and automate many different data pipelines, while visual data flows allow new employees to get up to speed quickly on data pipeline strategy
Not only does Dataprep allow PDPAOLA to slow its hiring without sacrificing scale, but it also reduces downtime (and the money lost along with it), with the ability to visually identify and remediate issues fast
Dataprep allows PDPAOLA to easily transform many different diverse data sources, such as shipping costs, product information, or Google Analytics, in order to build robust reporting in Data Studio
Region: EMEA
Industry: Retail and Consumer Goods
Department: BI/Analytics/Data Science
Company Background:
PDPAOLA is an online jewelry company with hundreds of unique, high-quality products.
Data Stack: Shopify, Google Cloud, Dataprep, BigQuery, Stitch, Data Studio.