Increase Your Customers
Would you like more new customers? Do you want to increase your sales? If so your campaign can only be effective with the right data, and that’s where Data Bubble helps. We provide clean, GDPR compliant data that will help you to generate more leads and achieve more sales.
Data Cleaning: What Is Data Cleaning?
Using data lists? The data’s only useful to you if it undergoes regular cleansing. If it doesn’t, what looks like a good data list could actually turn out to be useless to your business.
Data cleaning, which is also referred to as data cleansing and data scrubbing, is the process of fixing or removing ‘bad’ data from your dataset. ‘Bad’ data is a broad term, because it could mean data records that are incorrect, corrupted, incorrectly formatted, duplicated, or incomplete.
Insights and analytics aren’t any good if you’re using a dodgy dataset. That’s why data cleaning is necessary; to ensure the quality of the dataset that you are using.
Data Cleaning: What Are The Data Cleaning Steps?
Here at Data Bubble, we’re experts when it comes to data cleaning. When cleaning a dataset, there is a tried and tested process that we follow. Here’s a brief look at that process.
– Remove duplicate and irrelevant entries: Initially, filtering through the data to find duplicate entries is easy and advisable. It can take a long time, but it’s essential. Furthermore, you must remove entries that are no longer relevant. If you don’t, your data won’t meet your requirements.
– Ensure correct formatting throughout: It’s important to ensure that a dataset is formatted in the same way throughout. Inconsistencies in formatting can cause issues when it comes to analysing data.
– Validation: At the end of the data cleaning process, it’s important to validate the changes and assess whether the data will meet your needs going forward. For example, does the data make sense in the way it is now formatted and does each record have every bit of information that you need?
This is a rather basic overview of the process, but we’d be delighted to discuss it in more detail with you. Please visit our contact us page and give us a call to find out more.
Data Cleaning: Why Is Data Cleaning Actually Important?
Are you asking yourself whether or not data cleaning is actually important? The answer to that question each and every time is yes!
Data cleaning is important because it improves the quality of the dataset you are using. This is advantageous in numerous ways. For example, it means you can create better forecasts for your marketing campaigns rather than making estimations based upon dodgy data. If you have a dataset full of poorly formatted, incorrect records, is it really of any use to your business?