A Brief Discussion about the Objective, Uses of the Data Quality Software

What is Data Quality?

Business enterprises use database applications along with other software. It is important for businesses to maintain databases, check whether the database data has any errors or not. The database data may contain typological errors. There can be duplicate data in the database records. Whenever two or more databases are merged together then the data sources may contain duplicate data. The data quality tools help to clean, match and de-duplicate data that are there in different data sources. The purpose of using the data quality software lies in the fact that these tools save time, effort while sorting out database data. The data quality software validates address, links records of different databases. The software makes the difference for the company which aims to optimize marketing campaign for itself.

The Objective of Data Quality Software

The data quality software is useful for sorting out database data. It helps in validating addresses, link records from various databases. It helps in optimizing marketing campaign. It helps to merge more than one database. The data quality software saves both time and money and hence is preferred in enterprises. The data quality tools help in cleaning, matching, de-duplicating of data from various data sources.

The Uses of Data Quality Software

The following are some of the uses of the data quality software:-

• It helps in address validation.
• It links records from different databases.
• It helps in optimizing marketing campaigns.
• It helps to merge more than one database.
• The software saves time, money and hence preferred in enterprises.

The Methods Used by the Data Quality Software

Define and Plan: - Identify the data that is important in the day to day operating process. Define validation rules for data standardization.

Assess:-Comprehend the data that requires to be cleaned up, the information that is missing and the one that is to be deleted. The data cleansing process can be made easier by introducing new exceptions to rules.

Execute:-Execute the data cleaning process. The execution process involves the creation of workflows to cleanse and standardize the data flow.

Review:-Audit, correct the data that cannot be corrected automatically.

Monitor & Manage:-Database evaluation after cleaning process is important.

Some of the important aspects of good data quality are as follows:-

1. Accuracy
2. Uniqueness
3. Timeliness
4. Consistency

The Data Quality Software

The Data Quality software tools are available in select business websites. Modern businesses deal with large volumes of data and managing them is problematic unless appropriate tools are put to use. Earlier, data cleaning activities were handled manually but it used to be a time consuming process. Also, the user had to put in lot of efforts to clean database data or data that is there in other data sources. The data quality software processes not just include data cleaning, it incorporated data matching, de-duplication. The software professionals can use suitable data quality software tools to clean corrupt data from the databases or other data sources. They can use the software to remove duplicate data from the different data sources. The fascinating aspect of the different data quality software tools is that such tools are accurate, unique, very much timely, and are consistent.

My name is Sohel Ather, software engineer by profession and a content writer by passion, Technical writings, blogging etc are stuff that I do as hobby.