The business intelligence (BI) software market is projected to surge to USD 27.9 billion by 2027, yet only 30% of employees use these tools for decision-making. This gap between investment and usage highlights a significant missed opportunity.
The primary hurdle in adopting BI tools is their complexity. Traditional BI tools, while powerful, are often too complex and slow for effective decision-making. Business decision-makers need insights tailored to their specific business contexts, not complex dashboards that are difficult to navigate. Organizations currently rely on many data analysts to manage and interpret data, creating dashboards and other BI assets for analytics consumers. This requirement creates significant bottlenecks, reducing productivity and stalling BI adoption. Generative AI is set to change this dynamic.
Gartner® predicts that by 2025, augmented consumerization functions will drive more than 50% of analytics and business intelligence adoption, influencing business processes and decisions.
We’ve developed the Project Ripasso to address this. This innovative tool simplifies BI by enabling business users to interact with complex data systems by using intuitive natural language, either by text or voice. With Project Ripasso, organizations empower all business users to make better decisions.
Project Ripasso uses generative AI to integrate seamlessly into your business operations, enabling you to ask questions in natural language and receive personalized and contextual insights instantly. The platform’s AI innovations, such as semantic automation and reasoning, sift through your data to identify patterns, uncover relationships and interpret business significance.
Whether making tactical business decisions or exploring strategic opportunities, you can rely on Project Ripasso for actionable insights with strict adherence to data integrity and privacy standards.
Receive finely tuned, fast business answers relevant to your context. Project Ripasso analyzes industry-specific data and operational requirements to deliver highly personalized insights. For example, as a sales manager alerted about an uptick in leads but decreased revenue due to falling win rates, you can immediately propose a buy-now offer and review the lead conversion process.
Clear reasoning provides a direct path from data input to insight output, helping you uncover the “why” behind your insights and identify new growth opportunities. For example, if you, as an operations manager, notice a critical inventory shortfall, Project Ripasso confirms that this trend is consistent and not an anomaly, prompting timely adjustments to delivery plans to avoid revenue loss and penalties.
The platform, built with large language models (LLMs) by IBM trained on enterprise-relevant content, adheres to strict data governance and regulatory criteria. It interprets your questions in everyday business language, making data interaction intuitive and enabling you to confidently explore complex business queries. The answers provided are not only relevant but also tailored to fit your business context.
Also, Project Ripasso automates the creation of business semantics, enhancing your data’s narrative by clarifying its meaning within your business context. This enhancement makes it easier for you to understand the significance of each data point and see how it fits into the bigger picture of your operations. The platform makes complex analysis accessible and meaningful, helping you grasp the full scope of your business landscape with ease.
Project Ripasso is built on the pillars of governance, reliability and transparency, enhancing all AI workflows. This platform streamlines your analytics journey by integrating insights from various tools and data sources. Its semantic data layer provides enterprise-level governance, offers a metrics catalog for consistent cross-organizational reporting, and supports an open interface to promote interoperability. Project Ripasso is the next generation of business intelligence, empowering business users with insights for confident, rapid decision-making.