Future-Proof Your Data: AI Readiness, Real-Time Decisions, and Self-Service with Fabric & Acterys
Stream Date ๐
May 22nd 2025 at 9:30 AM (PT)
DESCRIPTION ๐
Are you seeking to bridge the gap between static analysis and dynamic action? This session will guide you through practical strategies for building AI-ready data, enabling agile decision-making, and fostering self-service analytics within your Microsoft ecosystem.
Learn how to:
Transform raw data into AI-ready assets: Discover techniques to ensure data quality and consistency for accurate machine learning models. ยท Implement real-time planning: Explore methods for connecting live data to your reporting and forecasting processes, enabling instant adjustments and "what-if" analysis.
Empower your business users: Learn how to facilitate self-service data exploration and report creation, reducing reliance on IT and accelerating decision cycles.
Extend your Power BI capabilities: Discover how to integrate advanced write-back and planning features directly into your existing Power BI environment. This session will focus on practical applications and actionable insights, empowering you to supercharge your Microsoft Fabric and Power BI investment for greater agility in responding to market changes and informed decision-making based on real-time data. Join us to discover how to bridge the gap between reporting and action, turning insights into immediate results.
GUEST BIO (Mike Marotta)๐ค
At Acterys, Mike is steering the global sales team towards new horizons, harnessing his expertise in SaaS sales and hands on leadership methodology. Our mission is clear: to deliver unparalleled value to our clients by understanding their unique business needs and forging strong, lasting partnerships.
The team and I are committed to maintaining a pulse on industry trends, ensuring Acterys remains synonymous with innovation and customer success. By crafting and executing strategic plans, we're not only achieving, but also exceeding sales targets and driving the company's growth in the competitive tech landscape.