Democratizing Analytics for Customer Insights – The Role of Data Warehouse-Native Platforms
Webinar Speaker: Fern Halper, TDWI VP Research, Senior Research Director for Advanced Analytics
Date: Wednesday, July 17, 2024
Time: 9:00 a.m. PT / 12:00 p.m. ET
In TDWI research, we see that the top priority for analytics is self-service analytics. Self-service analytics tools allow users at all levels to explore data and derive insights without relying heavily on IT or data specialists. This is especially important for deriving customer insights from digital products. By using self-service, different LOBs can track engagement metrics to help identify user behavior patterns, pinpoint areas for improvement, and tailor their strategies to enhance customer satisfaction and retention.
Yet, self-service remains elusive for some companies. Data analysts are still developing reports and dashboards for business groups, even though they would rather be doing more strategic work and building their own skills in data science. The challenges to democratization are related to both technology and organization. They include implementing trusted data, providing easy-to-use platforms, building the organizational culture needed for democratization, and improving data literacy. Join this TDWI webinar to learn best practices for democratizing analytics in your organization and see how Miro, a fast-growing global software company, deployed a self-service product analytics platform to optimize its customer experience.
Topics include:
- The current state of self-service analytics
- Technological considerations for democratization, including the importance of data warehouse-native platforms to provide trusted information
- Case study: How Miro leveraged a warehouse-native platform to democratize product analytics and reduce the burden of BI
- Organizational considerations for democratization
Guest Speakers
Rachel Herrera
Customer Success Lead
Kubit
Rachel Herrera currently leads customer success at Kubit and has been a data and analytics professional for the past 12 years. She spent the last five years working in SaaS product analytics supporting customers during their onboarding, enablement, and training and has helped over 100 companies get the most out of their product and digital data. Prior to SaaS, she was a Tableau and Power BI consultant working with various companies to build and scale their BI practices. When she isn’t messing with data, Rachel enjoys time with her daughter and husband in Dallas, TX, along with their two dogs.
Felipe Leite
Data Product Manager
Miro
Felipe Leite currently works as a data product manager at Miro, managing internal data tools used by analysts and the broader organization. He's been developing internal tools for the past 12 years and recently has been focused on product analytics and BI, helping Miro's analytics team scale by promoting self-service data analytics and improving the analysts’ workflow experience.
Fern Halper, Ph.D.