5 Challenges to Modern Data Insights

Use Cases & Projects, Dataiku Product, Scaling AI, Featured Renata Halim

Data teams spend countless hours creating data products for the business, but turning those products into actionable insights is no small feat. Modern teams face mounting challenges as they work to bridge the gap between raw data and informed decision-making. From scattered tools to manual processes, the road to creating meaningful insights can feel like an uphill battle.

For many data teams, presentations remain the go-to way to share analytics with stakeholders. Yet, these presentations often require hours of effort, pulling data from multiple sources, and navigating tool fatigue. Even after the slides are built, the work doesn’t stop — ongoing updates and version control add layers of complexity. And perhaps the biggest challenge of all? Building trust. When stakeholders can’t drill deeper into the numbers or worry about data quality, confidence in analytics erodes.

These hurdles highlight a pressing need for smarter solutions that empower teams to deliver insights quickly, effectively, and transparently. The question is, how can we get there?

GM3982-DAC Stories Infographic_v6 (1)

In a world where data is constantly changing, and thousands of decisions are made across your company every day, your slides shouldn’t be static. With Dataiku Stories, your teams can create dynamic presentations in seconds using generative AI for self-service that actually works — all with trusted analytics sourced from Dataiku, the Universal AI Platform.

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