Analytics Reports MAIN WIKI

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Revision as of 19:28, 11 October 2011 (edit) Andrei (Talk | contribs) (updated solution section) ← Older edit		Revision as of 19:30, 11 October 2011 (edit) (undo) Andrei (Talk | contribs) (→Suggested solution) Newer edit →
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	* Handling of data:		* Handling of data:
	** define indicators (given and calculated),		** define indicators (given and calculated),
-	** specify appropriate calcilations.	+	** specify appropriate calculations.
	=== Visualization tasks ===		=== Visualization tasks ===
-	* Configuration of report - given and calculated columns,	+	* Configuration of report:
		+	** type of report - standalone/scheduled/ dashboard,
		+	** set of output columns.
	* Output of report.		* Output of report.

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Revision as of 19:30, 11 October 2011

Contents 1 Info 2 Core need 3 SA notes (concept vision) 3.1 Main goal 3.2 Data 3.3 Handling 3.4 Output 3.5 Modelling 4 Suggested solution 4.1 Content tasks 4.2 Visualization tasks 5 Implementation phases 5.1 Phase 1. Prepare DB 5.2 Phase 2. Data handling 5.3 Phase 3. Output

Info

0003003: (Analytics Reports) Create a module to produce this type of reporting

Core need

We want to automate generation of special class of xls reports ("Utilization and Cost Saving Modeling reports"):

• based on CT2 database data
• Complex: mulitab, mix of graphics and tables on one page
• Normally related to utilization rates and costs, times
• Used as a tool for modeling of how to tweak different parameters such as transit times and utilization rates to reduce costs
• Challenge is that every time we need to pull fresh data and apply formulas and charts
• we also want to have “in system” (DR (Dashboard Reports)) version of these reports
• see 2 examples in 0003003
  • examples#1 is well defined in TMS Monthly Stats Report - see Copy of Copy of July Activity Stats Final.xlsx
  • ex#2 - see up+kpi+-+analytics+report+SAMPLE.rar

SA notes (concept vision)

Main goal

Core need:
Automate generation of special class of xls reports ("Utilization and Cost Saving Modeling reports")

That class of reports is designed to give the statistical and operational data to analyze and should help to take the business decision for reduce the cost of freight charges.

Currently there are 2 specific reports that needed to be implemented:

• Elizabeth Arden's TMS Monthly Stats Report. Algorythms of cost savings is based upon reducing the load count to Best possible Load Count.
• Coty report. Algorythm is TBD.

Data

Core need:
Report should be based on CT2 database data

Currently EA monthly statistical report is generated from Descartes TMS in the form of report called "Supplier Detail Previous Month". It contains the summary totals of achieved values (loads, weights, charges etc) for every lane "Supplier-Consignee" per given month. The same lanes with different Carriers are considered as unique.

For both mentioned reports, first task is providing of saving in CT2 database the initial data for reports. So we need to define:

• list/mapping of existing fields that can be used,
• list of new fields that should be added into DB.

Handling

Core need:
Normally related to utilization rates and costs, times
Challenge is that every time we need to pull fresh data and apply formulas and charts

First need get list of indicators for every report. Then:

• develop a procedure of input/export initial data,
• make calculation of needed indicators by given formulas.

Output

Core need:
Complex: mulitab, mix of graphics and tables on one page
We also want to have “in system” (DR (Dashboard Reports)) version of these reports

• System should provide an availability of selecting different output options - for admin and user.
• Every indicator should have its own table or chart (on common or separate page).

Modelling

Core need:
Used as a tool for modelling of how to tweak different parameters such as transit times and utilization rates to reduce costs

This as in http://en.wikipedia.org/wiki/Scientific_modelling.

TBD

Suggested solution

It is suggested to divide all implementation tasks onto two parts: content and visualization.

Content tasks

• Preparing of data:
  • define mapping of existing fields,
  • define list of new filds to add into DB structure.
• Getting of data:
  • develop procedure of input/export data into DB.
• Handling of data:
  • define indicators (given and calculated),
  • specify appropriate calculations.

Visualization tasks

• Configuration of report:
  • type of report - standalone/scheduled/ dashboard,
  • set of output columns.
• Output of report.

Implementation phases

Implementation phases should be the same for every kind of analytics report.

Phase 1. Prepare DB

• mapping of existing fields,
• list of new filds to add into DB.

Phase 2. Data handling

• procedure of input/export data,
• define indicators and appropriate calculations.

Phase 3. Output

• versions of report - standalone/scheduled/dashboard,
• admin part - visibility rules, constraints and defaults,
• output format - XLS/HTML, tables & charts, set of columns.