Data drives information and you need information to run a successful business. Data and information, therefore, serve as an integral part of any business functionality. Considering the importance of data usage, it is even more important to have precision and authentic data rather than just having chunks of data that may or may not be useful. That is where data cleaning comes in the picture. Data cleaning is the process of detecting and correcting corrupt data or inaccurate records and referring to identify incomplete, incorrect, inaccurate or irrelevant parts of the data and then replacing, modifying, or deleting the dirty or coarse data. Data Cleaning or Data Scrubbing helps clear the unnecessary data and sort the useful data for further use. Data Cleansing is not merely a process; it is a necessity to add constructive efforts to your marketing campaigns.
How does Data Cleaning Process work?
Determining how your data can help you plan and achieve your goals is the first thing to analyze. This recognition will not only make your work easier, but it’ll also make the data cleaning process simpler. The key to an ideal data cleaning process is to follow and focus on your top metrics. Recognize what is your company’s goal and what is it that each member is looking for?
Here are some practices that must be followed when formulating a data cleaning process:
Keep an Eye on the Errors
Keep a close look and record the trends of where most of the errors are coming from. This practice will make it a lot easier to identify and then fix the incorrect or corrupt data. This is especially important if you are integrating other software along with your data collection software so that errors don’t choke up the plan as per strategy.
Standardize Your Processes
It’s important that you set up a standard process from the point of entry of data. It is important to maintain uniformity and keep a check on it. By standardizing your data process you will ensure a good formulation of entry and reduce the risk of duplication.
Cross check the accuracy of your data once you entered it and once you have cleaned your existing database. Investing in authentic data research tools and they will allow you to clean your data in real-time. With the advancement in technology, the tools now even use Artificial Intelligence or even Machine Learning to test the accuracy of the data better.
Wipe-off Duplicate Data
Analyze your data carefully and you can identify the duplicate data from the original ones. There are data analyzing tools that help you eliminate the duplicate data from the original one. The tool doesn’t only look into cleaning your data but also saves a lot of manual effort and time both. Using of duplicate data can be avoided by researching and investing in different data cleaning tools, as mentioned above, the tool analyzes raw data in bulk and automates the process for you.
Once you standardize your data, the next step is to validate it, and then scrub if off the duplicate ones. You can use a third-party data cleaning tool to amend the data cleaning process. Reliable third-party sources can help capture information through the first-party sites. You can then clean and compile the data to provide more relevant information that can be used for business intelligence and constructive analytics.
There are data cleaning tools available to help you segregate your pure data from the impure one. The data cleaning tool does not only clean your data but also makes sure your data list eliminates the individuals who have unsubscribed from that list. Right from GDPR law to the marketing ethics, it is has always been ideal to eliminate the ones who do not sought to receive information from you. The data cleaning procedure makes it easy for you to target the ones who are relevant and may be genuinely interested in your service or your offering. Therefore, it is essential that you follow the mandates and basics of data cleaning process before you use the data for any form of sales or marketing purpose. There is more to marketing and sales than just capturing the ones who aren’t really interested. It is also about who you target and how.