Kanso vs Power BI
Kanso vs Power BI
Power BI charts data you have already prepared. Kanso holds the quality records the charts come from, and analyzes them in the same place.
To be fair
What Power BI gets right
- As a general BI tool it is very good. It connects to almost anything and is a sensible standard for company-wide reporting.
- The visual builder is mature. Once the data model exists, business users can build dashboards without code.
- It sits inside the Microsoft stack many companies already run, so licensing, sign-in and Excel are familiar.
Where it stops helping
It shows data someone already shaped
Quality data has to be exported from wherever it lives, modeled and loaded before Power BI can chart it.
Each of those steps is a place for the report to go stale.
It is not a quality system
Power BI has no controlled document, CAPA, audit or control chart with Nelson rules. It charts numbers and does not hold the records behind them.
You still need somewhere to keep those records.
Deeper analysis happens elsewhere
Power BI can show R and Python visuals, but a capability study or a designed experiment is usually done in a statistics tool and brought back as an image.
The study and the dashboard drift apart.
Where Kanso fits
Kanso is a quality system with its own dashboards. The charts, the analysis and the records they come from are in one place.
You build datasets, then go as far as the question needs: SQL, Python and R in the Data Lab, nineteen chart types with cross-filter and drill-down, scheduled reports, and an assistant you can ask in plain language. ERP data comes in through a read-only connector to Business Central and refreshes on a schedule.
If Power BI is your standard for finance and sales reporting, keep it. Kanso is for the quality data and the records behind it.
How they compare
Purpose
Different approachPower BI
A general BI layer for any department, on a data model you build and maintain.
Kanso
A quality system with dashboards, analysis and QMS records together.
Getting quality data in
We leadPower BI
Export and model the quality data before it can be charted.
Kanso
Quality records are already in Kanso. ERP data arrives through a read-only connector, on a schedule.
Statistics
We leadPower BI
Charts and DAX measures, with R and Python visuals. Capability studies and designed experiments are usually done elsewhere.
Kanso
SPC with Nelson rules, MSA, DOE and hypothesis tests inside the project, plus SQL, Python and R.
Company-wide BI
They leadPower BI
Strong across finance, sales and operations, with connectors to almost any source.
Kanso
Dashboards on Business Central data as well as quality data, with far fewer connectors.
Records
We leadPower BI
None. It visualizes data held elsewhere.
Kanso
The documents, CAPAs, audits and measurements behind the charts live here.
Bottom line
Keep Power BI for company-wide reporting. Use Kanso where the charts need to sit next to the quality records they are built from.