Versions Compared

Key

  • This line was added.
  • This line was removed.
  • Formatting was changed.

The Operations team currently relies on PowerBI for data that fuels the monthly Digital Marketing Growth Project meeting. Data is exported for both ARI and Dealer Spike. It is cleaned up and sent over to each director and the digital marketing sales manager for analysis. Here are the steps to exporting and cleaning up data:

...

(blue star) Old Column

(blue star) Old Heading

(blue star) New Column

(blue star) New Heading

DE

new_accountnameAccount

A

Client

M

new_primaryreasonnameN

Primary Reason

G

Reason

N

new_primarydetailnameO

Primary Detail

H

Details

R

new_billingchangenotesS

Billing Change Notes

I

Notes

AJAK

DS_Website_Cancel DS

B

Website

ANAO

DS_SEM_Cancel DS

C

SEM

APAQ

DS_SEO_Cancel DS

D

SEO

ARAS

DS_TDA_Cancel DS

E

TDA

ATAU

DS_DM_Cancel DS

F

MA/AEM

(blue star) Old Column

(blue star) Old Heading

(blue star) New Column

(blue star) New Heading

D

new_accountname

A

Client

M

new_primaryreasonname

G

Reason

N

new_primarydetailname

H

Details

R

new_billingchangenotes

I

Notes

AI

Website Cancel ARI

B

Website

AM

SEM Cancel ARI

C

SEM

AO

SEO Cancel ARI

D

SEO

AQ

TDA Cancel ARI

E

TDA

AS

DM Cancel ARI

F

MA/AEM

...

Now that you have created and cleaned up the document, place it in the correct year’s folder on OneDrive and follow the naming convention as follows:

mm_month.xlsx

Example:
01_January.xlsx
06_June.xlsx
12_December.xlsx

...