Conference Presentation, Keynote
Everyone is an Analyst: Opportunities in Operational Analytics
- Automation will restructure work by reducing rote tasks, forcing a shift toward data-driven decision-making and necessitating new operational analytics tools across all roles and industries.
- Current enterprise tools like Hadoop and traditional BI are inadequate for operational staff who require immediate, self-service insights for day-to-day choices rather than delayed strategic answers.
- Tech companies are expected to disrupt tech-phobic, operationally intensive sectors such as oil and gas, manufacturing, mining, construction, and groceries by leveraging vertical integration, digital user experiences, and operational efficiencies to undercut competitors.
- Success in high capex or low-margin industries requires end-to-end, domain-specific products with low adoption friction, supported by deep industry expertise and consultative sales models focused on KPIs like gross margins and return on capital.
- Infrastructure providers must rebuild ETL, storage, processing, access, and presentation layers to be immediate and self-service, addressing current gaps in raw data accessibility and centralized privacy management.
- Growth in the operational analytics space will be driven by role-focused solutions targeting traditionally underserved functions, where winners must establish brand moats against fast followers by solving problems with extreme depth before expanding.
- Operational analytics companies will prioritize user engagement as their primary metric, recognizing that revenue is a lagging indicator while organic adoption by non-executive staff drives initial growth through small, easily consumable product offerings.