Marketing is a creative enterprise. But it is also a data-driven enterprise. And any data driven enterprise needs clean data to work effectively.
Data analysts and professionals recognize the importance of cleaning your data. But it might not be obvious to Marketing professionals.
Here are 5 reasons why your marketing effort needs clean data
Customer and user duplication might be the single most important reason to strive for clean data.
In the above example, it’s clear that both records belong to the same customer. But without properly cleaned data, any marketing software will read those as two unique records.
So if you are running an email marketing campaign on this dataset, Dr. Strange will get two emails when he should have only received one. …
Date and time are frequently used data types. So you would think they would be straightforward to work with, right? Right?
The ISO (International Organization for Standards) even has a module dedicated to how date and time should be written.
But like all data, date and time frequently appear in the wild in all different kinds of formats.
In this guide, we will walk through the most common date and time formats. There will also be detailed steps on how to best handle them in your Data Analytics project.
SHAMELESS PLUG: If you need to convert any date/time, feel free to check our tool www.cleanspreadsheets.com that lets you automatically clean any date format in spreadsheets. …
Good question! Well, geocoding is the process of turning an address into a coordinate that specifies its latitude and longitude values. This is called Forward Geocoding.
There is also reverse geocoding. Which allows you to convert latitude and longitude values into an address.
Geocoding allows us to easily locate addresses on a map and is often used for mapping, geographic analysis, spatial analysis, etc.
I have analyzed and prepared a list of of several no-code tools and applications that don’t require any technical knowledge to Geocode.
All you need is a list or spreadsheet of addresses.
These tools accept lists of addresses, often in spreadsheets or csv files, and either do Forward Geocoding or Reverse Geocoding, or often both. …