How Data Quality Depends On Data Cleansing ?
What is data cleansing?
Some will say - Just an old fashioned process to identify and removing data within a database. Yes you are right but it's not all that we can get from a data cleansing process as quality is also one of the important outcomes of data cleansing. If you really want to turn your inaccurate and unorganized data into a key business asset, Data Cleansing can be a guarantee for a high ROI. And it could be a problem If you try to skip the data cleaning steps, you’ll get yourself in a big problem while getting the raw data to work with analysis tools. As data cleansing is one of the processes to improve the overall quality of data by removing and correcting inaccurate, incomplete, or irrelevant data from a data system so you must believe in the dependence of quality on data cleansing process.
In a big world of possibilities, bad data is becoming more and more common problem between the marketers. It's because of the technology we use to help manage and organize that data. And It’s pretty simple, if you are looking to take your organization forward in the rat race for the numbers game, maintaining a good quality data, can benefits you to ensure strong business relationships with customers and avoid inconsistencies or inaccuracies in your invoice data. It's a good practice to do for an organization to gain a good profit and your business will not have to deal with data loss and invalidity.
"Here data is the king",
You will be surprised to know that.
“data scientists spend 80% of their time cleaning data and only 20% of their time actually analyzing.it.”
Here we are providing a list of best data cleansing tools available for free that can help in keeping the data clean and consistent.
- Trifacta Wrangler
- Talend data Preparation
- Quadient Data Cleaner
- Cloudingo by Salesforce
According to a statistician - “Without data you're just another person with an opinion”_ W.Edward Deming
So stay tuned for next update
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