Data Cleansing Tools
Data management tools — specifically data cleansing tools — make it easier to maintain high-quality, manageable information and avoid the pitfalls of dirty data.
Format
Convert data in a perfect, standard, consistent format. Includes separate fields if required.
Cleanse
Remove incorrect information, punctuation and standardise casing.
Repair
Fix misspellings and add missing details.
Verify
Check accuracy against the country’s leading datasets.
Enhance
Add additional information and insights to your data.
What is Data Cleansing?
Data cleansing, also referred to as scrubbing or cleaning, is one of the initial steps in preparing and transferring data.Â
It primarily involves identifying and fixing errors (e.g., duplications, incorrect information, corruptions, inconsistencies, irrelevancies, etc.) and eliminating dirty information to ensure that only the highest-quality, reliable and relevant information is available.
Data cleansing is an important step in the data management process and provides various benefits:
Eliminates Inconsistencies
Reduces risk
More accurate information
Create opportunities for growth
Increases the integrity and value of company data
Augments
decision-making
Saves time, effort and money
Eliminates Inconsistencies​
Reduces risk
More accurate information
Create opportunities for growth
Increases the integrity and value of company data
Augments decision-making
Saves time, effort and money
Additionally, data cleansing tools are more efficient, cost-effective and time-savvy than manual cleansing.
Unlike manual cleansing, data cleansing tools and software are less likely to be impacted by human error and therefore offer consistently superior information. In turn, this increased data integrity results in reduced risk, better business decisions and other benefits.
Choosing the best data cleansing tools with DataTools
The process of data cleansing can be a rather daunting process to understand, which is why we’ve broken the process down into four separate steps, which will allow you to follow along and be kept up to date on your data.
Data Prioritisation and Assessment
First, We’ll work with you to determine what data is important to your business and what data isn’t as important to your business, allowing our data cleansing tools to prioritise your data.
Data Collection and Organisation
Secondly, our data cleansing tools will collect your data and begin to organise it.Â
This organisation process will include discarding any duplicate values and making sure that there are no empty values in your data.
Standardisation and Replication
After the first data cleansing, it’s important to standardise the process, so that it can be replicated quickly and easily, should it need to be done again.
As well as this, you’ll also need to figure out how often you would want your data to be cleansed.
Continuous Evaluation and Adaptation
Finally, as the data cleansing sessions continue, it’s important to make sure that they still suit your business.
Your business may be constantly evolving, which means that your data is constantly evolving, and your data cleansing needs to evolve with it. Make sure to check for any bugs in your data cleansing process, and check for any places where the process can improve.
Here at DataTools, we’re committed to helping companies find the perfect data management tools. Reach out to us today to learn more about our software solutions and how they can benefit your company
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