<transcript><audio_55>um practice behind campaign success like advertising campaign success or like yeah if you want to do some post campaign analysis then we have um data from different sources right we have like uh data that is related to the campaign</transcript><transcript><audio_56>it will set up like how housing uh like in terms of like um what market is being run in yeah how many days we run in this country and then we have also viewability matrix like for example</transcript><transcript><audio_57>um related to impressions uh clicks you know yeah and then next we also have like uh results from the different platform that helped us run uh brand leave yeah so uh</transcript><transcript><audio_58>we saw you know data from so many different sources like there's gonna be um common issues you know like uh relate that to inconsistent naming of variables or fields across data sets yeah</transcript><transcript><audio_59>so it can be relating to the same thing um but yeah they are just a turn differently in different data sets and then also in operat in appropriate data formats or like there can be invalid duplicate or missing values so all these</transcript><transcript><audio_60>are related to how unclean the data can be yeah so uh the materials for today's talk can be found here um yep so i i will be sharing this uh link i mean i'll be opening up um</transcript> um practice behind campaign success like advertising campaign success or like yeah if you want to do some post campaign analysis then we have um data from different sources right we have like uh data that is related to the campaign it will set up like how housing uh like in terms of like um what market is being run in yeah how many days we run in this country and then we have also viewability matrix like for example um related to impressions uh clicks you know yeah and then next we also have like uh results from the different platform that helped us run uh brand leave yeah so uh we saw you know data from so many different sources like there's gonna be um common issues you know like uh relate that to inconsistent naming of variables or fields across data sets yeah so it can be relating to the same thing um but yeah they are just a turn differently in different data sets and then also in operat in appropriate data formats or like there can be invalid duplicate or missing values so all these are related to how unclean the data can be yeah so uh the materials for today's talk can be found here um yep so i i will be sharing this uh link i mean i'll be opening up um
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