General Description |
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The T&E Dashboard has the objective to :
The dashboard is providing different angles of analysis :
There are some accesses restrictions to employee level information in accordance to GDPR regulations. Sources: This dashboard has been build using 3 different data sources:
* check details in "Information on data sources" Concur **check details in "Information on data sources" Amex GBT Dashboard is providing N-1 data, as well as current year YTD M-1 data. Data of M-1 are available on the 15th day of M. Dashboard is only available in EUR. By default, data is always YTD of current year. |
Dashboard details
Executive summary & group benchmark
add screenshot of the dashboard with Numbers of final version in Qlik
No restrictions on scope
| Nb | Name | Source | Calculation | Comments |
|---|---|---|---|---|
| 1 | Spend and Evolution vs N-1 RSB | Controlling | Spend = ∑Spend "Selection" N Evolution = (∑Spend "Selection" N -∑Spend "Selection" N-1 RSB)/∑Spend "Selection" N-1 RSB | "Selection" is YTD by default and can be changed to another period using "Month Year" filters RSB methodology available below "LINK" |
| 2 | Number of active spenders | Concur | Count number of Employee over period (no duplicates) | Any employee that enter an expense in Concur over the analysis period |
| 3 | Number of active travelers | AmexGBT - Spend Analysis | Count number of Employee over period (no duplicates) | Any employee that made a booking either online (concur) or offline (travel agency) over the analysis period |
| 4 | Number of air tickets booked | AmexGBT- Spend Analysis | Filter on Primary product code ="Air" ∑Number of tickets | Including refunds and exchanges |
| 5 | Air average ticket price vs N-1 | AmexGBT- Spend Analysis | ∑Air Net Ticket Amount "Selection" N / ∑ Air Net Tickets "Selection" N vs ∑Air Net Ticket Amount "Selection" N-1 / ∑ Air Net Tickets "Selection" N-1 | Average ticket price regardless of booking class, country point of sales, ... |
| 6 | Book Online | AmexGBT- Spend Analysis | Filter on Primary product code ="Air" ∑Air Net Tickets "Selection" N with booking channel = "Online" / ∑ Air Net Tickets "Selection" N | Currently for Korea, adjust booking channel to Online if DK description ⊂ "concur" |
| 7 | Book in Advance for Domestic & Regional Flights (min 14 days) | AmexGBT- Spend Analysis | Filter on "Regional or Intercontinental" = "Domestic - Regional" & Filter on Primary product code ="Air" ∑Air Net Tickets "Selection" N with compliance = "Yes" / ∑ Air Net Tickets "Selection" N | |
| 8 | Book in Advance for International Flights (min 21 days) | AmexGBT- Spend Analysis | Filter on "Regional or Intercontinental" = "Intercontinental" & Filter on Primary product code ="Air" ∑Air Net Tickets "Selection" N with compliance = "Yes" / ∑ Air Net Tickets "Selection" N | |
| 9 | Book the lowest logical fare | AmexGBT- Spend Analysis | Filter on Primary product code ="Air" ∑Air Net Tickets "Selection" N with LLA Acceptance = "Yes" / ∑ Air Net Tickets "Selection" N | |
| 10 | % of one day trips vs total of trips (by air) | AmexGBT- Spend Analysis | Filter on Primary product code ="Air" ∑Air Net Tickets "Selection" N with Days traveled = "1 day" / ∑ Air Net Tickets "Selection" N | This metric is including one-way tickets. |
| 11 | % of internal meetings (air & rail) | AmexGBT- Spend Analysis | Filter on Primary product code ="Air" & "Rail" ∑Total number of tickets with Trip Purpose Clean = "Internal meeting" / ∑Total number of tickets | |
| 12 | Solvay Benchmark - Online Booking compliance | AmexGBT- Spend Analysis | Metric number 6 with split per GBU/Function for YTD N. | Cannot be filtered by GBU/Function |
| 13 | Solvay Benchmark - Book in Advance for Domestic & Regional Flights (min 14 days) compliance | AmexGBT- Spend Analysis | Metric number 7 with split per GBU/Function for YTD N. | Cannot be filtered by GBU/Function |
| 14 | Solvay Benchmark - Book in Advance for International Flights (min 21 days) compliance | AmexGBT- Spend Analysis | Metric number 8 with split per GBU/Function for YTD N. | Cannot be filtered by GBU/Function |
| 15 | Solvay Benchmark - Book the lowest logical fare compliance | AmexGBT- Spend Analysis | Metric number 9 with split per GBU/Function for YTD N. | Cannot be filtered by GBU/Function |
| 16 | Solvay Benchmark - Average Spend per Employee | Concur | ∑Approved Amount without reclaimable tax (EUR) / Metric number 2 with split per GBU/Function for YTD N. | Cannot be filtered by GBU/Function |
| 17 | Monthly Update | N/A | Free Text | Monthly update from Purchasing |
Financial overview - spend evolution (controlling data)
add screenshot of the dashboard with Numbers of final version in Qlik
No restrictions on scope
| Nb | Name | Source | Calculation | Comments |
|---|---|---|---|---|
1 | Total Spend | Controlling | 2018 Spend = ∑Spend N-1 YTD 2019 Spend = ∑Spend Ytd N | No filter on time dimension |
| 2 | Total Spend YTD vs YTD N-1 RSB | Evolution = (∑Spend "Selection" N -∑Spend "Selection" N-1 RSB)/∑Spend "Selection" N-1 RSB | Clear indication on spend variation in EUR & in % vs previous year | |
| 3 | Spend evolution (N vs N-1) | Monthly/Quarter Spend for N data Monthly/Quarter RSB Spend for N-1 data | Dimension can be month or quarter | |
| 4 | Spend per Region (%) | % of each region | Location of company not expense | |
| 5 | Details and evolution per GBU and function | Trend = (∑Spend "Selection" N -∑Spend "Selection" N-1 RSB)/∑Spend "Selection" N-1 RSB Moving average = (∑Spend last quarter - Average Spend last 4 quarters)/Average Spend last 4 quarters |
Expenses overview (Concur data) - incl top spenders
add screenshot of the dashboard with Numbers of final version in Qlik
Restricted on Scope
This page has no N-1 comparison as scope is not stable yet (see planning of deployment for Concur)
| Nb | Name | Source | Calculation | Comments |
|---|---|---|---|---|
| 1 | Total expenses | Concur | ∑Approved Amount without reclaimable tax (EUR) | Total is excluding Pcard |
| 2 | Number of active spenders | Count number of Employee over period (no duplicates) | Any employee that enter an expense in Concur over the analysis period | |
| 3 | Expenses per region/Country (%) | ∑Approved Amount without reclaimable tax (EUR) in % of each Region or country | This metric has 2 dimensions: Region or country Region/country is origin region/country from the traveler, not the location of the expense | |
| 4 | Expenses by Cluster | ∑Approved Amount without reclaimable tax (EUR) in % of each expense cluster | This metric has 2 dimensions: % or EUR A cluster is a grouping of similar expense types in Concur | |
| 5 | Spend evolution | ∑Approved Amount without reclaimable tax (EUR) per month/quarter | This metric has 2 dimensions: Month / Quarter | |
| 6 | Spend per Employee | ∑Approved Amount without reclaimable tax (EUR) per month per employee | ||
| 7 | Spend per Cost Center | ∑Approved Amount without reclaimable tax (EUR) per month per cost center | Not available in Concur Cytec |
Bookings behaviors (AmexGBT/travel agency data ) - incl top non compliant travelers
add screenshot of the dashboard with Numbers of final version in Qlik
Restricted on Scope
| Nb | Name | Source | Calculation | Comments |
|---|---|---|---|---|
1.1 1.2 1.3 1.4 | Book Online KPI vs N-1 Details Quarterly/Monthly evolution Non Compliant Travelers | AmexGBT- Spend Analysis | always filter on Primary product code ="Air" ∑Air Net Tickets YTD N with booking channel = "Online" / ∑ Air Net Tickets YTD N vs ∑Air Net Tickets N-1 with booking channel = "Online" / ∑ Air Net Tickets N-1 Eligible Online = Yes if "Country (Point of Sale)" ≠ "India" ≠ "China" ≠"Taiwan" ≠" Latvia" and Primary Product Code ≠ "C" ≠"J" Tickets Booked = ∑Air Net Tickets YTD N Main non-compliant countries = Top 3 countries with lowest non-compliance to KPI (based on absolute value ∑Air Net Tickets "Selection" with booking channel = "Online" / ∑ Air Net Tickets "Selection" per period (quarter or month) ∑Air Net Tickets YTD N with booking channel = "Offline" sorted per traveler (descending) | Compliance evolution over time based on selection Month/Year This metric has 2 dimensions: Month / Quarter |
2.1 2.2 2.3 2.4 | Book in Advance KPI vs N-1 Domestic & Regional Flights (min 14 days) Details Quarterly/Monthly evolution Non Compliant Travelers | always filter on Primary product code ="Air" & Filter on "Regional or Intercontinental" = "Domestic - Regional" ∑Air Net Tickets YTD N with compliance = "Yes" / ∑ Air Net Tickets YTD N vs ∑Air Net Tickets N-1 with compliance = "Yes" / ∑ Air Net Tickets N-1 ∑Air Net Tickets "Selection" with compliance = "no" Count number of travelers (no duplicate) with compliance = "No" (XX% represents 80%) ∑Air Net Tickets "Selection" with compliance = "Yes" / ∑ Air Net Tickets "Selection" per period (quarter or month) ∑Air Net Tickets YTD N with compliance = "No" sorted per traveler (descending) | Compliance evolution over time based on selection Month/Year This metric has 2 dimensions: Month / Quarter | |
3.1 3.2 3.3 3.4 | Book in Advance KPI vs N-1 Intercontinental Flights (min 21 days) Details Quarterly/Monthly evolution Non Compliant Travelers | always filter on Primary product code ="Air" & Filter on "Regional or Intercontinental" = "Intercontinental" ∑Air Net Tickets YTD N with compliance = "Yes" / ∑ Air Net Tickets YTD N vs ∑Air Net Tickets N-1 with compliance = "Yes" / ∑ Air Net Tickets N-1 ∑Air Net Tickets "Selection" with compliance = "No" Count number of travelers (no duplicate) with compliance = "No" (XX% represents 80%) ∑Air Net Tickets "Selection" with compliance = "Yes" / ∑ Air Net Tickets "Selection" per period (quarter or month) ∑Air Net Tickets YTD N with compliance = "No" sorted per traveler (descending) | Compliance evolution over time based on selection Month/Year This metric has 2 dimensions: Month / Quarter | |
4.1 4.2 4.3 4.4 | Book Lowest Logical Fare KPI vs N-1 Details Quarterly/Monthly evolution Non Compliant Travelers | Filter on Primary product code ="Air" ∑Air Net Tickets YTD N with LLA Acceptance = "Yes" / ∑ Air Net Tickets YTD N vs ∑Air Net Tickets N-1 with LLA Acceptance = "Yes" / ∑ Air Net Tickets N-1 ∑Air Net Tickets "Selection" with LLA Acceptance = "No" Top 10 of ∑Air Net Tickets "Selection" with LLA Acceptance = "No" per traveler ∑ Lost Savings "Selection" % of Spend= ∑ Lost Savings "Selection"/∑Air Net Tickets amount "Selection" ∑Air Net Tickets "Selection" with LLA Acceptance= "Yes" / ∑ Air Net Tickets "Selection" per period (quarter or month) ∑Air Net Tickets YTD N with LLA Acceptance = "No" sorted per traveler (descending) | Lowest logical fare means best financial option with same number of connections and flight schedule. | |
| 5 | Trip Duration (based on number of air tickets booked) | Filter on Primary product code ="Air" % of ∑Air Net Tickets "Selection" per "Days traveled" (excluding "Exchange refund code" = "Exchange" & "days travelled" = "Refund") | This metric has 2 dimensions: Month / Quarter | |
6 | Trip Purpose (based on number of air & rail tickets booked) | % of ∑Air Net Tickets "Selection" per "Trip Purpose Clean" (excluding "Exchange refund code" = "Exchange") | This metric has 2 dimensions: % or absolute value | |
| 7 | Number of trip by air per traveler | Filter on Primary product code ="Air" ∑Air Net Tickets "Selection" per "Days traveled" sorted per traveler (descending) | Ability to filter on trip duration |
Bookings overview (AmexGBT/travel agency data )
add screenshot of the dashboard with Numbers of final version in Qlik
Restricted on Scope
| Nb | Name | Source | Calculation | Comments |
|---|---|---|---|---|
| 1 | Air Overview
| AmexGBT- Spend Analysis | Filter on Primary product code ="Air" Spend = ∑Air Net Tickets Amount ATP= ∑Air Net Ticket Amount / ∑ Air Net Tickets | |
| 2 | Volume per airlines alliances | AmexGBT- O&D | Filter on Primary product code ="Air" ∑O&D Net Count in % of airline alliances (or number of tickets per airline alliances) | This metric has 2 dimensions: % or number of tickets |
| 3 | Air tickets volumes : Domestic/Regional vs Intercontinental | AmexGBT- Spend Analysis | Filter on Primary product code ="Air" ∑Air Net Tickets in % of "Regional or Intercontinental" | |
| 4 | Air Routes Overview | AmexGBT- O&D | Filter on Primary product code ="Air" Column 1 : Origin -Destination (non directional) Column 2: ∑Air Net Tickets amount "Selection" Column 3: ∑Air Net Tickets "Selection" Column 4: % of ∑Air Net Tickets amount "Selection" for each Origin - Destination Column 5: Average cost per Origin - Destination "Selection" Column 6: Average cost per Origin - Destination "Solvay | NB: 2 Origin - Destination = 1 roundtrip |
| 5 | Air Tickets volume per booking class | AmexGBT- O&D | Filter on Primary product code ="Air" ∑O&D Net Count in % of "Class of Service - Invoice (Predominant) ∑O&D Net Amount in % of "Class of Service - Invoice (Predominant) | |
| 6 | Air Overview
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My reports
Information on data sources & calculation
Finance/Controlling data: P&L
It has been agreed that controlling data are the reference to measure the spend evolution and will only be adjusted with FX effect and not scope.
Also note that there is an average of 35 days lagging effect between a booking and its impact in BW, with the assumption that travellers are expensing at least once a month (policy recommendation).
RSB - FX effect methodology
TO DO
Expenses :Concur Data
There are two different Concur systems; one from Solvay and the other from Cytec legacy (expected to run until 2020). Concur is a tool were employees are claiming T&E for reimbursement. This tool is still under implementation and therefore not covering 100% of the scope.
INCLUDE LINK TO CONCUR SCOPE AND DEPLOYMENT PLAN
Booking information: Travel Agency data AmexGBT Insight
Detail files with different spend references
Details on sources:
Expenses :Concur Data
There are two different Concur systems; one from Solvay and the other from Cytec legacy (expected to run until 2020). Concur is a tool were employees are claiming T&E for reimbursement. This tool is still under implementation and therefore not covering 100% of the scope.
INCLUDE LINK TO CONCUR SCOPE AND DEPLOYMENT PLAN
Planning deploiement / scope couvert par CONCUR:
Concur Solvay (expense & booking):
- NAM (US CA) > June 2016
- EMEA 1 (BE FR UK NL LX) > June 2017
- EMEA 2 (DE IT PT ES) > Dec 2017
- Technology Solution US > July 2018
- APAC 1 (SG TH / JP KR) > Nov / Dec 2018
- LAM (BR PE CL) > Dec 2018
- MX > Jan 2019
- APAC 2 (IN CN) > Fev 2020
Concur Cytec Expenses
- NAM: US (CM +1 company code of TS)
- APAC: AU (TS), CN (TS CM)
- EMEA: NL (TS), UK (CM), IT FR DE (CM), LV (SBS), CG (TS)
NB. quite many remote locations (employees located in Ukraine, Mongolia, DAR, Kazahstan) are using the NL Concur for expenses
Concur Cytec booking (via Amex GBT reseller agreement)
- NAM: US (CM)
- EMEA: UK DE BE (TS CM),
NB. LV IT (TS CM) are booking in BE Concur
Finance/Controlling data: P&L
It has been agreed that controlling data are the reference to measure the spend evolution and will only be adjusted with FX effect and not scope.
Also note that there is an average of 35 days lagging effect between a booking and its impact in BW, with the assumption that travellers are expensing at least once a month (policy recommendation).
FX effect methodology
TO DO
Booking information: Travel Agency data AmexGBT Insight
Detail files with different spend references
Dimensions Overview:
To adjust for each sources including VIP, SLT,frequent traveller ...
| Qlikview | Comments |
|---|---|
GBU / Function | |
| Company | |
| Region | APAC, EMEA, LAM, NAM |
| Country | Company country |
| Year | Y-1, Y |
| Quarter | |
| Month | |
Cost Center | |
| Fixed Cost Group 2 | |
| Vendor | Name, Number |
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