Boosting Your eCommerce Business with Marketing Analytics

Presented by

Aftab Alam, Sr. Director @ KEH Camera, Bertrand Cariou, Product Marketing @ Trifacta

About this talk

KEH is a ReCommerce camera specialist in finding and providing the best high-end camera gear at an attractive price. To better serve a growing demand for used material via their multi-channel pipelines, KEH needed to rethink entirely its digital model and bring data to the heart of its business. Switching from a manual approach (Excel and Legacy Applications) to the Google Cloud analytics suite (including Dataprep by Trifacta, BigQuery, Cloud Functions, and DataStudio) has been transformative to automate their process to sourcing the best gear, optimizing price/quotes (based on the supply, demand, and competitors), capturing omnichannel customer signals, and drive segmented campaigns. In this webinar, Aftab Alam, Sr Director of Technology @ KEH will unveil his automation of the product lifecycle management platform. What will you learn? - Understanding KEH specific data challenges to automate their analytics (silo data sources, data quality, and data profiling, variable data format from search engine, data quality issues) - How to bring numerous data channels (search engine, transaction, customer engagement, ERP, warehouse, competitive web crawl) into a centralized cloud BigQuery data warehouse - How to clean, unstructured ( web scraping data) and structure (JSON, CSV & XML), combine and derive trustworthy insight with Dataprep by Trifacta - The dos and don’ts in transforming your eCommerce data journey See the solution end-to-end live!
Related topics:

More from this channel

Upcoming talks (0)
On-demand talks (1)
Subscribers (973)
This channel hosts webinars with customers' stories from Trifacta. Trifacta is the only open and interactive data engineering cloud platform to collaboratively profile, prepare, and pipeline data for analytics and machine learning. With an AI-assisted, self-service approach, Trifacta democratizes data for analysts and engineers to assess, correct, and validate data quality, accelerate transformation, and automate robust data pipelines at scale.