By now, every organization, regardless of industry, has at least explored the use of AI, if not already embraced it. In today’s market, the AI imperative is firmly here, and failing to act quickly could mean getting left behind. But even as adoption soars, struggles remain, and scalability continues to be a major issue. Organizations are quick to adopt AI, but getting it established across the organization brings a unique set of challenges that come into play.

A very common request we get from analytics users across all industries is the ability to export dashboard and analytic content to external files for collaboration and sharing. Whether the requirement is to export to PDF or export to XLS, exporting dashboard content to another popular media format remains an expected and important feature of modern business intelligence (BI). However, many analytics vendors lack options in exporting content, limiting the ability to share reports with non-analytics users.

Data practitioners are consistently asked to deliver more with less, and although most executives recognize the value of innovating with data, the reality is that most data teams spend the majority of their time responding to support tickets for data access, performance and troubleshooting, and other mundane activities. At the heart of this backlog of requests is this: data is hard to work with, and it’s made even harder when users need to work to get or find what they need.

Data is the driving force of the world’s modern economies, but data teams are struggling to meet demand to support generative AI (GenAI), including rapid data volume growth and the increasing complexity of data pipelines. More than 88% of software engineers, data scientists, and SQL analysts surveyed say they are turning to AI for more effective bug-fixing and troubleshooting. And 84% of engineers who use AI said it frees up their time to focus on high-value activities.

Whether you’re an analyst or non-technical, Yellowfin Stories and Present, our exclusive data storytelling features, make it easy to create and share data-led narratives with peers that provide insightful context, inspires action, and fosters a data-driven culture. Now, it’s no secret Yellowfin have been big believers of data storytelling since day one.