Data Cleansing/ Building
- or -
Post a project like this2435
£300(approx. $373)
- Posted:
- Proposals: 22
- Remote
- #1648849
- Awarded
PHP, Wordpress, Drupal, Magento, Data Entry, Administrative and Technical Support, SEO, Digital Marketing
Kingston
36681312058141757727175448317538581747962173782817340081717386166165713848641267140
Description
Experience Level: Intermediate
Estimated project duration: less than 1 week
There are a few actions which need to be executed on this data.
1.
We have an existing database of names and companies which will firstly need cleaning. We need someone to go through, person by person and check whether the details we have for them are correct. Using the key below (and detailed within the excel sheet) you will need to colour code everyone. If you find the person’s details have changed (job title for instance) you will be asked to input this onto the excel sheet. The same will be for if the person has moved companies but they are still at a retailer – you will be required to inform us of their new position and company (see image 1 for example).
During the cleaning process, we need someone to ensure there are no spelling/grammatical/email errors for example: sarha.hollis@siansbury.co.uk.
2.
Gap analysis
We need to ensure that we have the below job titles (or as many as we can find) for the companies highlighted in the gap analysis tab (variations are ok);
• Senior Operations:
o CTO
o CIO
o Chairman
o Chief Digital Officer
o CEO
o Director/MD
• Multichannel Director/Managers
• Strategy
• Chief Customer Officer
• eCommerce (Director/Head of)
You will need to go through and mark whether we already have these job titles at these companies. Where we do – please use the tab, where we don’t, we will need you to source these contacts.
1.
We have an existing database of names and companies which will firstly need cleaning. We need someone to go through, person by person and check whether the details we have for them are correct. Using the key below (and detailed within the excel sheet) you will need to colour code everyone. If you find the person’s details have changed (job title for instance) you will be asked to input this onto the excel sheet. The same will be for if the person has moved companies but they are still at a retailer – you will be required to inform us of their new position and company (see image 1 for example).
During the cleaning process, we need someone to ensure there are no spelling/grammatical/email errors for example: sarha.hollis@siansbury.co.uk.
2.
Gap analysis
We need to ensure that we have the below job titles (or as many as we can find) for the companies highlighted in the gap analysis tab (variations are ok);
• Senior Operations:
o CTO
o CIO
o Chairman
o Chief Digital Officer
o CEO
o Director/MD
• Multichannel Director/Managers
• Strategy
• Chief Customer Officer
• eCommerce (Director/Head of)
You will need to go through and mark whether we already have these job titles at these companies. Where we do – please use the tab, where we don’t, we will need you to source these contacts.
Jessica H.
0% (0)Projects Completed
5
Freelancers worked with
3
Projects awarded
71%
Last project
8 Aug 2018
United Kingdom
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Jessica, what is the size of the database?
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