Automation-Driven Data Cleansing: 5
Features To Look For In A Data Cleansing Tool

Data profiling is the process of evaluating, analyzing, and synthesizing data into meaningful summaries. The approach produces a high-level overview that can be used to identify data quality concerns, hazards, and general trends. It translates numbers into terms and generates key insights that ordinary people can understand and may subsequently use to their advantage. Charts. Trends. Statistics. Data profiling allows for the creation of bird’s-eye summaries of tabular files. It gives extensive information and descriptive statistics for each dataset variable.  Data profiling and cleansing features, which can automate metadata identification and provide clear visibility into the source data to detect any anomalies, should be included in an end-to-end data cleansing solution.

A data cleansing tool should handle standard source data formats and destination data structures, such as XML, JSON, and EDI. Thanks to connectivity to popular destination formats, you can export clean data to various destinations, including Oracle, SQL Server, PostgreSQL, and BI applications like Tableau and PowerBI. So, choose the best data cleansing software that offers excellent connectivity. This will help your company to gain faster access to high-quality data for rapid decision-making. Being data-driven in today’s world has become necessary since it helps businesses to be profitable. 

The data-driven company is not only 23 times more likely to attract consumers, but they are also six times more likely to retain customers and 19 times more likely to be profitable, states McKinsey Global Institute.

The best data cleansing software should have a data mapping feature since it bridges the gap between two systems or data models so that when data is transported from one location to another, it is accurate and usable at the same time. Each of the best data cleansing companies uses easy data mapping tools. The usability of a data cleansing tool is improved by the data mapping feature. It’s critical to correctly map or match data from source to transformation and then to the destination to ensure that your data is cleansed accurately. Such functionality can be supported by tools with a code-free, drag-and-drop graphical user interface. Always check the data mapping features when you choose the data cleansing tool.

47% of new data collected by companies has one or more critical mistakes. 

When collected data fails to match the company’s standards for accuracy, validity, completeness, and consistency, it can seriously affect customer service, staff productivity, and critical strategy-making. Data used for business purposes should have accuracy, completeness, reasonability, timeliness, uniqueness/deduplication, validity, and accessibility. So when you choose the data cleansing tool, make sure it offers advanced profiling and cleansing capabilities along with data transformation functionality. Many data cleansing companies and data cleansing service providers use such advanced data cleaning tools to deliver accurate data for business intelligence.

Choose a data cleansing tool that has a highly intuitive and friendly user interface. It should be easy to use and yet powerful to handle large-scale data cleaning. An ideal data cleansing tool should be used by anyone, not just IT people.  When you use a data cleansing tool with a friendly user interface, you don’t need any expertise or expert IT professionals to operate it. The data cleansing process also becomes super fast with the best data cleansing software having a simple and friendly UI.

78% of business leaders agree that automating workplace tasks boosts all stakeholders’ productivity. 

Automation impacts your business operations and workflow in a positive way. Discussing data cleansing automation, it eliminates the need to manually comb through data pieces to identify errors, duplicates, and other flaws. Instead of spending hours manually altering data or doing it in Excel, use data cleansing tools. They will perform the heavy lifting for you. More and more datasets will be cleansed when you put the process on autopilot mode.

Imagine yourself cleaning datasets one by one. Isn’t it scary? If you clean every piece of data one by one from your large datasets, it is going to take an eternity.   

According to MIT Sloan research, employees squander over half of their time doing mundane data quality activities.  

Automating the process saves you a lot of time which you can simply use on other important tasks.  The most significant benefit of automation is the ability to do repeated tasks fast and without mistakes. You’ll save not only a lot of time but also eliminate time-consuming tasks like exporting and importing tables to keep your system up to date.

Automating data cleansing reduces the need for a specialist data cleansing team. There is no need to spend excessive money on training staff and providing them with a well-equipped working space. 

74% of surveyed marketers believe that business owners and marketers use automation to save time and money. 

With a little guidance, a non-tech person can easily use a data cleansing tool. You are going to reduce the cost of data cleansing by introducing automation.

Accurate data is critical to the success of any business and project. However, checking for data accuracy manually can be difficult and time-consuming. That is why automation is so beneficial. You’ll never have to worry about manually checking for mistakes or dealing with the intricacies of your database again with automated data management.

The data cleansing process can be effectively automated using a cutting-edge tool. Users get more time to focus on strategic business-related core activities, while automation software takes care of repetitive tasks.  

In fact, 85% of business leaders believe that automation improves their focus on strategic goals.  

Manual data cleansing is a time-consuming and tedious procedure that might take days to complete. That is why it is critical to automate it. While maintaining data quality is a problem for every new organization, you can avoid being lost at sea with the correct data cleansing methods and technologies.   

If you don’t have time to clean the datasets, even using a tool, you can simply choose a data cleansing company. Many data cleansing service providers outsource data cleansing services to their customers and make their valuable datasets error-free and ready to use for instant analysis. They reduce the hassle of finding an ideal tool for data cleansing.