This page describes how to build new reports in Reporting module for Axiodis and / or customize existing report.
Datawarehouse content
Axiodis datawarehouse propose by default following tables and corresponding data which can be used to create reports :
| Table | Description | Type |
|---|
| IC_D_DRIVER | Dimension table about drivers | Dimension |
| IC_D_LOGISTIC_AREA | Dimension table about logistics areas | Dimension |
| IC_D_OPERATION | Dimension table about transport operations | Dimension |
| IC_D_PRODUCT | Dimension table about products | Dimension |
| IC_D_PROVIDER | Dimension table about providers | Dimension |
| IC_D_ROUTE | Dimension table about routes | Dimension |
| IC_D_SEQUENCE | Dimension table about sequences | Dimension |
| IC_D_SITE | Dimension table about sites | Dimension |
| IC_D_TRAILER | Dimension table about trailers | Dimension |
| IC_D_TRUCK | Dimension table about trucks | Dimension |
| IC_M_OPERATION | Measure table about transport operations | Measure |
| IC_M_ROUTE | Measure table about routes | Measure |
| IC_M_SEQUENCE | Measure table about sequences | Measure |
| IC_D_ROUTE_INVOLVED_PROVIDERS | Dimension table to store all the involved providers fo the routes | Dimension |
| IC_D_ROUTE_VALORIZED_PROVIDERS | Dimension table to store all the valorized providers of the routes | Dimension |
Existing dataset and their parameters
| Dataset | Description | Query | Parameters |
|---|
| Dataset about drivers activity |
| |
| DS_AXD_ROUTES | Dataset to recover generic data about routes | SELECT dr.*, mr.*,
mr.#SITES_COLLECTED+mr.#SITES_DELIVERED as #SITES,
mr.#SITES_COLLECTED_PREDICTED+mr.#SITES_DELIVERED_PREDICTED as #SITES_PREDICTED,
((mr.#SITES_COLLECTED+mr.#SITES_DELIVERED) - (mr.#SITES_COLLECTED_PREDICTED+mr.#SITES_DELIVERED_PREDICTED)) as #NOMINAL_SITES,
mr.UV_COLLECTED+mr.UV_DELIVERED as UV,
mr.UV_COLLECTED_PREDICTED+mr.UV_DELIVERED_PREDICTED as UV_PREDICTED,
((mr.UV_COLLECTED+mr.UV_DELIVERED) - (mr.UV_COLLECTED_PREDICTED+mr.UV_DELIVERED_PREDICTED)) as NOMINAL_UV,
mr.UP_COLLECTED+mr.UP_DELIVERED as UP,
mr.UP_COLLECTED_PREDICTED+mr.UP_DELIVERED_PREDICTED as UP_PREDICTED,
((mr.UP_COLLECTED+mr.UP_DELIVERED) - (mr.UP_COLLECTED_PREDICTED+mr.UP_DELIVERED_PREDICTED)) as NOMINAL_UP,
mr.UQ_COLLECTED+mr.UQ_DELIVERED as UQ,
mr.UQ_COLLECTED_PREDICTED+mr.UQ_DELIVERED_PREDICTED as UQ_PREDICTED,
((mr.UQ_COLLECTED+mr.UQ_DELIVERED) - (mr.UQ_COLLECTED_PREDICTED+mr.UQ_DELIVERED_PREDICTED)) as NOMINAL_UQ,
mr.UM_COLLECTED+mr.UM_DELIVERED as UM,
mr.UM_COLLECTED_PREDICTED+mr.UM_DELIVERED_PREDICTED as UM_PREDICTED,
((mr.UM_COLLECTED+mr.UM_DELIVERED) - (mr.UM_COLLECTED_PREDICTED+mr.UM_DELIVERED_PREDICTED)) as NOMINAL_UM
FROM IC_M_ROUTE mr
INNER JOIN IC_D_ROUTE dr ON mr.ID_ROUTE = dr.ID
WHERE dr.DOMAIN_CODE in ($P{logistic_area()})
AND dr.ROUTE_DATE >= CONVERT(DateTime, $P{start_date})
AND dr.ROUTE_DATE <= CONVERT(DateTime, $P{end_date})
order by dr.DOMAIN_CODE, dr.CODE | |
| DS_AXD_ROUTES_VAR | Dataset to recover generic data about routes | with AXD_ROUTES_VAR as (
SELECT dr.ID, dr.CODE, dr.EXTERNAL_ID, dr.ROUTE_DATE, dr.DOMAIN_CODE,
DATEPART(WW, dr.ROUTE_DATE) as ROUTE_WEEK, DATEPART(MM, dr.ROUTE_DATE) as ROUTE_MONTH, DATEPART(YY, dr.ROUTE_DATE) as ROUTE_YEAR,
mr.TOTAL_DISTANCE_PREDICTED, mr.TOTAL_DISTANCE,
mr.TOTAL_TIME_PREDICTED, mr.TOTAL_TIME,
mr.TRANSPORTATION_COST_PREDICTED, mr.TRANSPORTATION_COST,
mr.#SITES_COLLECTED+mr.#SITES_DELIVERED as #SITES,
mr.#SITES_COLLECTED_PREDICTED+mr.#SITES_DELIVERED_PREDICTED as #SITES_PREDICTED,
mr.UV_COLLECTED+mr.UV_DELIVERED as UV,
mr.UV_COLLECTED_PREDICTED+mr.UV_DELIVERED_PREDICTED as UV_PREDICTED,
mr.UP_COLLECTED+mr.UP_DELIVERED as UP,
mr.UP_COLLECTED_PREDICTED+mr.UP_DELIVERED_PREDICTED as UP_PREDICTED
FROM IC_M_ROUTE mr
INNER JOIN IC_D_ROUTE dr ON mr.ID_ROUTE = dr.ID
WHERE dr.DOMAIN_CODE in ($P{logistic_area()})
AND dr.ROUTE_DATE >= CONVERT(DateTime, $P{start_date})
AND dr.ROUTE_DATE <= CONVERT(DateTime, $P{end_date})
)
select AXD_ROUTES_VAR.*, cast(AXD_ROUTES_VAR.ROUTE_YEAR as nvarchar) as X_VALUE
from AXD_ROUTES_VAR
where 0 = $P{axis_type}
UNION ALL
select AXD_ROUTES_VAR.*, cast(AXD_ROUTES_VAR.ROUTE_MONTH as nvarchar) as X_VALUE
from AXD_ROUTES_VAR
where 1 = $P{axis_type}
UNION ALL
select AXD_ROUTES_VAR.*, cast(AXD_ROUTES_VAR.ROUTE_WEEK as nvarchar) as X_VALUE
from AXD_ROUTES_VAR
where 2 = $P{axis_type}
UNION ALL
select AXD_ROUTES_VAR.*, cast(AXD_ROUTES_VAR.ROUTE_DATE as nvarchar) as X_VALUE
from AXD_ROUTES_VAR
where 3 = $P{axis_type} | |
| DS_AXD_TRUCKS_ACTIVITY | Dataset about trucks activity | SELECT dr.DRIVER_CODE, dd.LABEL,
mr.TOTAL_TIME_PREDICTED, mr.TOTAL_TIME, mr.NOMINAL_DIFF_TOTAL_TIME, mr.RELATIVE_DIFF_TOTAL_TIME,
mr.TOTAL_DISTANCE_PREDICTED, mr.TOTAL_DISTANCE, mr.NOMINAL_DIFF_TOTAL_DISTANCE, mr.RELATIVE_DIFF_TOTAL_DISTANCE
FROM IC_M_ROUTE mr
INNER JOIN IC_D_ROUTE dr ON mr.ID_ROUTE = dr.ID
INNER JOIN IC_D_DRIVER dd ON dr.DRIVER_CODE = dd.ID
WHERE dr.DOMAIN_CODE in ($P{logistic_area()})
AND dr.ROUTE_DATE >= CONVERT(DateTime, $P{start_date})
AND dr.ROUTE_DATE <= CONVERT(DateTime, $P{end_date})
order by dr.DRIVER_CODE | |
How to create a report using existing dataset?
This section shows how to create a new report, using the existing datasets.
- First, you have to log into Axiodis with an authorized user (Authorization Reporting - Functionality by default - Creation within the authorization profile used).
- Then launch the SpagoBI module
- Open Documents development
- Create a new report (cockpit)
- Add a widget and select a dataset
- Drag & Drop the wished widget, and set the widget designer
- Choose the fields in the list (measures and attributes from the dataset)
- Edit the report to add the parameters definition
- Create the document analytical driver
- Open and edit again the report, then add the parameters
- Confirm and save the report.
- You can now define parameters (Start date, End date and logistic areas), and click on Execute
How to customize an existing report
All the existing reports (delivered by Maplink or developed by yourself) are customizable. You can edit them, add widget, edit and / or delete widget. You also can duplicate them.
How to create a new dataset
How to update datawarehouse database and MIA streams if necessary
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