Module name
Trigram: TSA
Screenshot
Value
The Time-Series Analysis sheet is the sheet that allows break down your sales values and volumes into its three components:
The trend
The season
Noise or residue
This sheet is based on the Python OpenSource Prophet library made by Facebook. The PyTools 5.1 connector has been integrated into QLIK to achieve 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 which components are the engines of your market
You want to know the evolution of the components of your market in order to deduce their maturity
Data source
Geographical territories
Metropolitan France data
Market
No limitation on the size of the markets
Applicable to human medicinal products, veterinary medicinal products and non-medicinal products
Status
Subscription
Sales & Marketing Advanced
Objects found in the sheet
Functional cartridge
Explanatory cartridge
Turnover / Volume selector button
Mode selector button from Additive / Multiplicative decomposition
Company selector
Evolution of the coefficient of variation
Selectors of the learning period
Evolution curve observed
Curve of the trend component
Seasonal component curve
Curve of the residual component
Indicators & measures
Variance rate
Options
"Prescription" selector (Exclusively pharmacies data)
Compatibilities
NA
Limitations
The apprenticeship period must be at least 25 months
The choice of several parameters at the same time can stop the display of the curve
Version
Current version:
Addition of the "Data Input" Warning
versions:
Addition of the "Data Input" Warning
Module accepted on version target=200 of the standard; no changes compared to the version v2004070930 of this module
Variability of the subscription within the cartridge.