How EssilorLuxottica Reduced its Complexity Thanks to a Unified Source of Truth for Advertising

In this session, we’ll see how Luxottica and BitBang together were able to overcome a high-complexity data scenario made of multiple and different advertising data sources that needed to be harmonized in order to unlock great value for the company within centralized dashboards. Thanks to a multi-level dataflow approach, it was possible to organize several pipelines from the ingestion to the transformation phase merging heterogeneous data sources into one unique dataset. Doing so, every detail has been treated independently in the "back-end" by different people at the same time, while having complete flexibility on the "front end" where the Domo Bricks let us create a tailor-made KPI-oriented dashboard with a super-fast loading time that is now used to monitor ten different advertising platforms for cross-analysis. In this session you’ll learn:

• Implement a powerful yet agile nested dataflow architecture
• Non-BI natives are now able to modify dataflows with little effort regardless of ongoing production streams using Magic ETL, bypassing the traditional SQL or code-first approach
• Customize visualizations while improving data-loading performances thanks to Domo bricks as a complement to standard out-of-the-box contents.