CEM BANK - Weekly tasks on Monday
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Introduction
There are several steps that needs to be done each Monday morning (Danish time) to ensure that data collected in the previous week is used correctly in the reporting monitor, and that the information text on the My Portal is correct.
Weekly steps
Step 1 - Add week to axis set
Step 2 - Change time frame and rebuild data cache
Step 3 - Modify information text
Modify the text in the information box that is shown to the user on the My Portal-page.
- My Portal element: CEM Bank Intelligence - Note
- Navigate to the tab Detailed description (default) and enter the total number of interviews collected in the third line.
- Change the date on the forth line so it refers to the same date that you defined as end date in the DCS time frame (date of last Sunday). These are the Danish month abbreviations that you will need throughout the year: jan, feb, mar, apr, maj, jun, jul, aug, sep, okt, nov, dec
Step 4 - Modify the My Portal complaints overview
There is a complaint overview on the My Portal page, which should be sorted descendingly on the percentages of complaints: CEM Bank Intelligece - Complaints
Spreadsheet: CEM Bank Intelligence - Complaints. 
After rebuiling the DCS, the data is now updated, which causes the percentages of complaints to change, we need to sort the rows in the spreadsheet based on their calculated values. When moving the rows, remember to change the expressions in Klager column to have the correct cell references.
Step 5 - Update realtime elements
- Portal elements:
- CEM Bank - Realtime kundeklager
- CEM Bank - Realtime Market FBI
- CEM Bank - Realtime rådgiver input
- CEM Bank - Realtime kundeklager - Arbejdernes Landsbank
- CEM Bank - Realtime rådgiver input - Arbejdernes Landsbank
Rebuild the below data caches every week:
- Data caches:
- 8386cat - CEM Bank Intelligence - OPEN: gets only data in the last 2 weeks
- CEM BANK Intelligence - OPEN - Arbejdernes Landsbank
Step 6 - Update diagram shown in monitor site
Expanding steps
These steps will be done every 2 weeks beside weekly steps.
Step 1 - Modify NPS/ Kundeklager
Portal element: CEM Bank - Danske Bank - NPS/complaints
Spreadsheet: CEM Bank - Danske Bank - Stay in Bank/Complaints
- This diagram needs to be updated every 2 weeks, a new row of the last couple of weeks will be added to the diagram.
- There must be always 10 weeks data used in the diagram.
- Week ranges in Detractors and Promoters must be updated.
Step 2 - Modify Blive i bank/Personlig kontakt
Portal element: CEM Bank - Danske Bank - Stay in Bank/Personal contact
Spreadsheet: CEM Bank - Danske Bank - Stay in bank - Personal contact
- This diagram needs to be updated every 2 weeks, the first row in the diagram will be removed, the new row of the last couple of weeks will be added.
- There must always be 5 rows in the diagram.
- Week ranges must be changed in the other columns
Step 3 - Modify NPS Udvikling
Portal element:CEM Bank - Danske Bank - NPS udvikling
Spreadsheet: CEM Bank - Danske Bank - NPS udvikling
- This diagram needs to be updated every 2 weeks, a new row of the last couple of weeks will be added to the diagram.
- There must be always 10 weeks data used in the diagram, which means that there are always 5 rows in column A.
- Week ranges in Detractors and Promoters must be updated
- Update the same for spreadsheets below
- CEM Bank - Sydbank - NPS udvikling
- CEM Bank - Sparnord Bank - NPS udvikling
- CEM Bank - Jyske Bank - NPS udvikling
- CEM Bank - Nykredit Bank - NPS udvikling
- CEM Bank - Nordea Bank - NPS udvikling
Step 4 - Modify Forventer sund bankøkonomi
Portal element:CEM Bank - Danske Bank - Forventer sund bankøkonomi
Spreadsheet: CEM Bank - Danske Bank - Sund økonomi
- This diagram should be updated every 2 weeks together with the other portal elements.
- It should contain data of the current 4 weeks compared to the last 4 weeks' data.
Example
=(count() where (Participation_week == [200851-200902]) && (Q27_2_SQ_3 == [4,5]) && (Q4==[17]))/(count() where (Participation_week == [200851-200902]) && (Q27_2_SQ_3 == [1-5]) && (Q4==[17]))*100
=(count() where (Participation_week == [200847-200850]) && (Q27_2_SQ_3 == [4,5]) && (Q4==[17]))/(count() where (Participation_week == [200847-200850]) && (Q27_2_SQ_3 == [1-5]) && (Q4==[17]))*100
- Update the same for spreadsheets below
- CEM Bank - Sydbank - Sund økonomi
- CEM Bank - Sparnord Bank - Sund økonomi
- CEM Bank - Jyske Bank - Sund økonomi
- CEM Bank - Nykredit Bank - Sund økonomi
- CEM Bank - Nordea Bank - Sund økonomi













