Embarking on analytics transformation reveals a pivotal challenge: not all can be data-driven. Thus, we shift to Augmented Analytics, seamlessly integrating insights into workflows, bypassing the need for universal data literacy. This approach, elevates decision-making quality, operational efficiency and adoption, highlighting the journey towards a culture of insight-driven innovation. We'll explore the essence of Augmented Analytics as the cornerstone for the next analytics maturity level, highlighting the cultural and technical enablers.

Target Audience: Business Leaders/Professionals, Change/Transformation Manager, Analytics Professionals
Prerequisites: Basic knowledge: analytics transformation, genAI, data-driven culture, roles in transformation
Level: Advanced

Extended Abstract:
In our journey to transform analytics, we have come to a critical realization: Not everyone can and will be data-driven, because the reality and impact of data literacy is limited. Our current strategies need to evolve. Enter augmented analytics, a promising approach that will redefine the way we deal with insights. By integrating analytics directly into organizational workflows, we not only bypass the need for universal data literacy, but also significantly improve insight-driven decision making. This talk will explain how one commercial insurer is using this innovative strategy to improve decision quality, streamline operations, and foster a culture equipped to handle analytical challenges. We will explore the technical and methodological foundations and transformative enablers (the necessary roles, data liberalization, transformational mindset, and the importance of generative AI) that make augmented analytics not just a tool, but a catalyst for becoming truly insight-driven.