Making the case that the concept of cubes is alive, well and more important than ever.
Metric trees are not visuals but deep, rich computable data models.
Diving deep into a common and tedious analysis, and the power of automating it
It's not productive for business reviews to be driven by a collection of dashboards
Examining a touchy subject - do we truly need data analysts?
Exploring how constraints are shifting within data platforms as we make progress
Examining issues that arise from metrics-driven cultures and possible remediations
Arguing that metric cubes help with performant data products and UX
The data domain is shaped by personas with differing skills and needs
The key differences between strong and weak data and finance team cultures
Examining how metric trees enable a new a world of automation
Distinguishing AI functioning as a "reporter" vs a true analyst
How metric tree enable alignment across the organization
Exploring the third time the analyst role has come under threat!
There is intrinsic power in modeling via graphs and relationships
Examining the evolution of data platforms from producer to consumer
The strange way data tracking chops up the business into pieces!
Examining how the financial P&L statement is a classic metric tree!
Examining the key principles building for data consumers versus producers
Exploring metric trees as the next modeling layer, as intuitive as Kimball's
The key differences between metric catalogs, layers and trees
