Chad O'Brien (Head of Data & Analytics, Revry)
Location: Room 32B
Date: Monday, October 21
Time: 3:15 pm - 3:55 pm
Pass Type:
All Access Pass, Digital Pass, Main Conference Pass
Theme:
Data Science
Session Type:
Session
Track:
Data & Culture
Vault Recording: TBD
Audience Level: Intermediate
In this presentation, I will share insights gleaned from my role as the Head of Data & Analytics at Revry, a pioneering LGBTQ-focused streaming platform. I'll delve into the challenges and triumphs of constructing a robust data infrastructure from scratch, managing diverse data sources, and leveraging analytics to drive business decisions, as well as highlight the crucial role of constructing a streamlined reporting process for ad campaigns in gaining the trust of brands and agencies, our valued clients. Attendees will gain insights and strategies for building a data infrastructure and fostering a data-driven culture within their organizations.
Takeaway
- Harnessing Data Diversity & Data Quality Assurance: Learn how to effectively integrate data from multiple sources to gain comprehensive insights into business operations. Explore strategies for ensuring data accuracy, consistency, and reliability across all sources, ensuring that insights derived from data analysis are trustworthy.
- Empowering Stakeholders with Dashboards: Discover strategies for developing internal and external dashboards that cater to the needs of executives, supply partners, and content creators.
- Streamlining Reporting Processes: Gain insights into optimizing reporting processes to enhance accuracy, efficiency, and transparency.
- Cultivating a Data-Driven Culture: Understand the importance of fostering a culture where data is central to decision-making and learn practical approaches for instilling this mindset across the organization.
- Data Consistency & Context: Explore the importance of presenting data within its proper context to ensure consistency and mitigate the risk of misinterpretation. Understand how context enhances the value of data by providing insights into the underlying trends, patterns, and relationships. Learn strategies for effectively communicating data in context to stakeholders.
- Continuous Improvement through Feedback Loops: Understand the importance of establishing feedback loops to refine and improve data analytics processes continuously. Discover how to solicit feedback from stakeholders, both internal and external, and use this input to enhance processes and the overall data infrastructure.