Frequently Asked Questions
Tidying up your data: FAQs – You’ve probably heard of data cleaning. It’s crucial for any type of data list, such as B2B and B2C lists. It encompasses a range of techniques that are all about ensuring that your data is ‘clean’ and clear of irrelevant entries and incorrectly formatted records, to give just two examples.
In this blog post, our expert team are going to answer questions relating to tidying up your data.
By the end of this blog post, you’ll have all your data questions answered. If your question isn’t answered here, simply get in touch to speak to one of our friendly team.
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.
Using data lists? The data’s only useful to you if it undergoes regular cleansing of your data. If it doesn’t, what looks like a good data list could actually turn out to be useless to your business.
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 scrubbing is necessary; to ensure the quality of the dataset that you are using.
Data scrubbing: What Are The Data scrubbing Steps?
Here at Data Bubble, we’re experts when it comes to data scrubbing. When scrubbing 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 scrubbing 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.
Why Is Data Scrubbing Actually Important?
Are you asking yourself whether or not data scrubbing is actually important? The answer to that question each and every time is yes!
Data scrubbing 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?