data-cleansing-steps

The 10 Data Cleansing Steps for 2019

Want to use your old business data? But not sure how to process? Learn the easy data cleansing steps you can follow to make use of it. Cleansing data just about adds a tinge of excitement to the work environment, and in no time makes you a work buff. We all deserve at least that much-something that helps to lift the weight that is likely to come with being a responsible person in the society.

Having an accurate database has always been necessary for any organization. To have this, there is a requirement for cleaning data now and then.

The importance of data cleansing cannot be overemphasized, and because it is a process, there exist data cleansing steps that should be taken seriously if efficiency is anything to stand by in the process.

Some of the essential procedures to follow through and through, without which anomalies may not be detected are :

Data auditing

data cleaning step

This is one of the most important steps to consider when cleaning data. Scrutiny is first given all attention before any other thing. Here we have to thoroughly check customer’s database. This opens the chance to see the wrongs in the database easily.

A proper data auditing which should be done with statistical and database methods can expose all the strange and unwanted information.

It is when you know what you do not need in your database that you can cleanse.

Monitoring errors

monitoring errors in data

It is not enough to scrutinize so that you get a glimpse of the problem; it is advisable to further in search so that mistakes are adequately monitored. Monitoring errors give insight to some other anomalies that may arise over time.

Monitoring errors also helps to keep a trend of where errors emerge from. It is easy to face incoming errors this way before errors abound swiftly.

Validate accuracy during data cleansing steps

filter accurate data for cleaning

This is also an essential step to having an exquisite database. Persistency and consistency are the two ways to make accuracy achievable. This is done by doing research and acquiring tools that help you to clean data in real time.

Most times, if there is a schedule to data cleansing, accuracy becomes an easy feat.

Use different methods in data cleansing steps

different data cleaning procedures

It is also not advisable to be predictable. Almost all things like human follow the principle of adaptation. While this may not imply that the errors on your database become immune to one particular method of cleansing, it is great to try different means.

You should not use statistics and data-based methods every time. Comparing internal data with external data can also be a very effective means to detect errors, which ultimately leads to cleansing.

Scrub For Duplicate Data

remove duplicate data

Canceling duplicate data immediately they are noticed you a lot of future headaches. It is essential first to be aware that duplicate data are errors as much as any other data error. Hence, they should be treated with equal disdain.

Although they appear harmless and pose as option B, duplicates should also be deliberately hunted down in the cleansing process and scrubbed as hard as other errors detected.

Combine Data

structuring data

This is also one of the most steps to consider when cleaning data. You may find that it is a contrast to what we are trying to achieve. Why bring in more things if what we are trying to do is get rid of unwanted data?

It works beyond imagination- incorporating data has proven times without number to be a significant step forward in data cleansing. Information like phone number, email addresses, contacts, and others should be treated holistically.

Analyze data cleansing steps

steps for data cleansing

It never really pays to settle after you have done this much to see that your database is as useful as it should be. The best is to check with other people who are as savvy or more talented in data cleansing.

This process is called the analytic process. You never be too careful when what you are trying to do is bloat all forms of errors from your database.

In some cases, other people you are checking with do not see anything amiss, and you are good to go. In some cases, they do, and the process may be repeated.

There is no fear in the validation of data. Hence, you have nothing to fear. As long as you are well equipped and open to trying novel means and ways, doing your analysis and checking with others is an excellent step in cleansing data. Learn about 10 technique for data cleaning in excel.

Feedback

feedback about step

All organizations, at least the ones that mean business usually have quality control management. It is with this control mechanism that feedback is given.

Whatever happens before and after a customer sends a message, email is reported via the setup control mechanism. Some emails become missing in action. But, if they have been indicated beforehand and before they become a nuisance in the inbox, the cleansing process becomes easy for the organization.

Repeat

Data cleansing is not like the living. You never do it once and relax; it is as continuous as the rotation of the earth. As long as the organization stands, cleaning data remains essential. This is a step of data cleansing that cannot be neglected.

Doing all the other steps and ignoring this one step of data cleansing is as bad as not doing all the others at all. Before you retreat, think about it. Learn about best practices in data cleaning.

Communicate data cleansing steps

All your customers and colleagues should be as aware as you are about the levels of data cleansing just as you are. Together everyone archives more- having to do things alone robs you of peace and proper rest. There is information that your customers need to be aware off that will help to foster the data cleansing steps and processes.

Communication forever remains one of the essential steps of data cleansing. Although underrated, helps to run things in and out of the organization.

Data cleansing services has always been essential in keeping your organization running, and frankly, the days of its importance are not coming to an end anytime soon. So, it is better that you embrace this reality and learn in steps some of the things involved in data cleansing.

author: Joydeep
Joydeep Singha is the Founder at AskDataEntry - India’s leading online virtual administration services provider for businesses and individuals. He is a seasoned marketing professional who is an expert in digital marketing and entrepreneurship.

Leave a Reply :

* Your email address will not be published.