CEM BANK - Weekly tasks on Monday

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Revision as of 06:39, 10 March 2009 by Catglobe (talk | contribs) (Step 6 - Modify Skifte bank/Innovation)
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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.

Steps

Step 1 - Add week to axis set

Add the last week to the data cache axis set. The reason that this needs to be done is that the user will use this axis in the cross tabulation.

  • Data cache: 8386cat - CEM Bank Intelligence
  • Axis: - - Uge
  • Add an extra option that refers to the last week’s week number (name and value).

CEM-BANK-Axisset.jpg

Step 2 - Change time frame and rebuild data cache

  • Change the end date in the time frame so the DCS only includes data collected before Monday in the current week, which means 23:59:59 on Sunday (DK time)
  • Save and rebuild the DCS

CEM-BANK-timeframe(new).jpg

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

CEM-BANK-Notes.jpg

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
CEM-BANK-Overview.jpg

Spreadsheet: CEM Bank Intelligence - Complaints. CEM-BANK-Overview-Spreadsheet.jpg

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 - Modify NPS Udvikling

Portal element name:CEM Bank - Danske Bank - NPS udvikling

CEM-BANK-NPS Udvikling.jpg

Spreadsheet: CEM Bank - Danske Bank - NPS udvikling

CEM-BANK-NPS Udvikling - Spreadsheet.jpg

  • 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

Step 6 - Modify Blive i bank/Personlig kontakt

Portal element: CEM Bank - Danske Bank - Innovation/complaint over time
CEM-BANK-Skifte bank-innovation.jpg

Spreadsheet: CEM Bank - Danske Bank - Stay in bank - Personal contact

CEM Bank - Danske Bank - Stay in bank - Personal Contact - spreadsheet.jpg

  • 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 7 - Update CEM Bank - Danske Bank - Forventer sund bankøkonomi

  • Portal element:CEM Bank - Danske Bank - Forventer sund bankøkonomi

CEM Bank Forventer sund bankøkonomi.png

  • Spreadsheet: CATINET\Projekt\Catglobe - opgaver\CAT7964 - Udvikling af Research Produkter\8386CAT - CEM BANK Intelligence\Danske Bank\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</br>

Step 8 - Update realtime elements

CEM-BANK-realtime.jpg

  • 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 9 - Update diagram shown in monitor site

  • Path in Monitor:

Forventninger.png

  • Diagram: 8386cat - Årsager til valg af bank, Forventninger (bars)

Steps:

  • View the diagram with Samtlige banker checked

Forventninger (bars) - 1.png

  • Note the percentages shown in the diagram, sort them in descending order

Forventninger (bars).png

  • Sort the brands in the previous order (Tips: use export/import feature to save time)

Forventninger (bars) - 2.png