Effective Gameplan to Migrate Session-based data modelling to Eventbased data modelling

• The deprecation of GA360 / Universal Analytics has come across as a surprise to majority of companies who uses session-based data modelling, and Google only gives ~1.5 year to all companies to migrate to event-based data modelling before the sunset in July 2024
• Zalora is one of the pioneers who saw the value of event-based data modelling and has migrated to CDP and product analytics tool (Segment x Mixpanel) even before the Google Analytics announcement
• Learn Zalora’s implementation strategy while ensuring the data integrity/ event-based reporting methods democratization in between.

Key Takeaways

• Learn how Zalora migrate from GA UA to Segment/Mixpanel within 3 months
• Learn how Zalora’s Product team manages the implementation strategy with 10 tech squads while ensuring the data quality and data integrity
• Learn how Zalora’s Product team democratize the product analytics skillset to internal teams after the migration

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Bio

Indah Mustikasari – Product Manager – Data, Growth, and Product Analytics | Zalora Group | Malaysia

Indah Mustikasari is currently a Product Manager – Data, Growth, and Product Analytics for Zalora Group. She was onboarded in Zalora in October 2021 to lead the entire company’s major data migration project from session-based platform to a Customer Data Platform (event-based platform).

She has been in analytics field for more than 4 years with proven track record of success. Her diverse career experiences in the past (public relation, SEO specialist, marketing analyst, product analyst, and business intelligence analyst) has brought her a unique positioning to lead this role as she cultivated different perspective of data from different teams, hence, an advantage to shape an effective approach in the data tracking implementation strategy to streamline 10 tech squads’ velocity.

She actively leads the democratization of self-serve analytics and product analytics skillset to the internal departments (Product, Engineering, Marketing, Revenue Analytics, Commercial, Marketplace, etc), with a vision “Analytics for All” and ensure anyone could generate any insights at their fingertips.