Few PowerBI users master DAX, M-scripts and the other tools that are key to maximize the amount of insight one can produce from PowerBI. A similar logic applies to Tableau.

As a result, an IT analyst will generally build the dashboard for the end user. This means that the dashboard is a canned structured analysis that limits the end user's exploration to the path that was defined by the content creator.

This keeps users tied to Excel and reduces the adoption of PowerBI.

Since today is mostly different from yesterday, the end user will often need an unstructured exploratory analysis approach to uncover new insights.

'Mparanza is not a dashboarding tool and has nothing to do with PowerBI. 'Mparanza is focused on sales and cost analysis and requires a flat tidy file in excel or csv format.


A user using 'Mparanza will be able to generate a complete set of charts in a format inspired by IBCS, with no need of coding or writing Excel macros

Sales analysis - understanding "how", and possibly "why", sales and margins changed between one period and another - is a common activity that often takes significant time. Fortunately, the structure of sales datasets often similar: a number of dimension columns, a date column, and a few metric columns. This is the intuition behind 'Mparanza.

'Mparanza makes it possible to standardize and automate a large part of the sales analysis pipeline: 'Mparanza helps you work faster, eliminate errors and identify insights that you might otherwise have missed.