Read more about author Guy Adams. Data products are proliferating in the enterprise, and the good news is that users are consuming data products at an accelerated rate, whether it’s an AI model, a BI interface, or an embedded dashboard on a website. The bad news is that too many data engineering teams still rely on manual methods to keep these data products running, which inhibits growth and the ability…

Read more about author Samuel Bocetta. Anyone who’s spent time in the analytics trenches knows that reading about data frameworks is one thing – building dashboards that influence boardroom decisions is another beast entirely. While the white papers and conference talks have their place, real impact happens on the ground, where teams are wrestling with messy datasets, inconsistent reporting tools, and ever-shifting business priorities.  This is where tactical analytics comes into…

Read more about author Daniel Bernholc. A self-service analytics tool should allow non-technical team members to explore analytical data, even without prior experience with business intelligence tools or knowledge of the underlying data. It should have an intuitive interface, allowing users to explore and visualize data in various ways to gain relevant insights. By no means should it require assistance from members of the data team after the initial set-up.…

Read more about author Katrina Ingram. Asking for consent to collect and use someone’s data as the basis for legitimate processing of that data is key to our data privacy regulations and is also ethical. However, many people agree that consent is broken and that we don’t really have meaningful consent given the power imbalances between big tech organizations and the average user. It’s not always possible to truly understand long…