module-name
Screenshot
Value proposition
The Breakdown module allows you to decompose your sales volumes and dispensations under its three components:
The trend
The season
The noise or residue
This sheet is based on the OpenSource Python library Prophet made by Facebook. The PyTools 5.1 connector was integrated with QLIK to perform this decomposition. The decomposition method used in this library is based on the ARIMA calculation method.
This module is for you if:
You want to understand what components are driving the pharmacy market
You want to know how the components of the pharmacy market are evolving in order to deduce the maturity
Source of data
Territories
Data for Metropolitan France
Market
No limitation on market size
Applicable on human medicine, veterinary medicine and non-medicinal product
Status
Subscription
Freemium
Objects-present-in-the-sheet
Functional cartridge
Explanatory cartridge
Dispense/Volume selector button
Dispense Mode Selector Button Additive/Multiplicative Dispensing
Changes in the coefficient of variation
Learning period voters
Curve of change found
Trend component curve
Seasonal component curve
Residual component curve
Indicators & measures
Sales
Variance rate
Options
Selector "Prescription"
Compatibilities
NA
Limitations
The learning period must be at least 25 months
Selecting more than one parameter at the same time may stop the curve display
Version
v2003241147
First version