Systems | Development | Analytics | API | Testing

While the AI and automation capabilities of augmented analytics dominate today’s business intelligence (BI) conversations, data storytelling is fast becoming a hot topic - and together, they’re set to re-shape the future of BI.

For a long time, many in the analytics and business intelligence (BI) industry, including most of our competitors, have loosely labelled data visualization in the form of charts and dashboards as ‘data storytelling’.

Simone Clancy, Director of People Strategy at Yellowfin, and Jessica Maree, Program Director at VICT4W, had the opportunity to interview each other about leadership and mentoring, and share some valuable lessons they've learned.

“Letting the data speak for itself” is a well known phrase with a hard truth: Data presented on its own rarely communicates meaning for itself. For most people, it’s the context behind the numbers, the story, that helps us understand and care to act.

Like most organizations, Yellowfin has a CRM tool. The data in your CRM should be able to help you understand how you’re selling and how you win. But everyone I speak to is frustrated by the analytics they get from their CRM. We realized very quickly that the reporting in our CRM tool wasn't meeting our needs, so we built our own solution.

9.6 is focused on Yellowfin features that enhance the way our customers build, design and embed stunning analytical content, which include data storytelling, augmented analytics, actionable dashboards — and provide a high ease-of-use experience. As always, you can read the full list of updates in our release notes page, and view our release highlights video below to see the new enhancements demonstrated.

Many organizations have considered or experienced a desire to take advantage of a cheaper platform, more feature rich-software, or to divorce from a vendor who is not delivering. But the pain of moving is simply too great to consider doing it. This is the state of being locked-in. In this blog, we explain what lock-in is, what it means for businesses searching for new embedded analytics solutions, and why it should be a consideration when choosing a platform.

Many people consider data-driven culture exclusively as one that comprises a large data team (analysts, data scientists), perfect data-sets neatly organized in a structured data warehouse, and the perfect tools to both access and utilize data in every decision made. Ultimately, however, much of data-driven culture comes down to a clear focus on the end-goal. Many people forget data is just an implementation, something that helps us in what we do.