Digital Transformation Made Worry-Free and Reliable with Automated Data Validation

Posted by

Poor data quality can lead to multiple concerns and problems for data-dependent companies. Gartner estimates that poor data quality can cost organizations up to $12.9 million each year.

As organizations gather and depend on more data, many often overlook the business costs of bad data until it’s too late. Data validation remains the only feasible way to check the quality of your data.

Companies can still rely on manual validation and testing methods for low-volume data. However, for massive data volumes, they need to quickly switch to automated data validation. In this blog, let’s see how automation eliminates the worries of the data validation process -by making it hassle-free and more reliable.

How does automated data validation work?

With manual data validation, QA and software testers often have to write exhaustive test cases and perform the task of standardizing and integrating larger datasets to make them relevant. This manual process is not only time-consuming but is also prone to human errors.

Automated data validation simplifies the entire validation process. Using AI technology, automated data validation tools can identify low-quality data and immediately alert the relevant stakeholders. Typically, automated data validation renders high-quality data by completing the following 2 operations:

  1. Data cleansing
    In this step, the automation tool cleanses the low-quality data by removing the data elements that are inaccurate, incomplete, and irrelevant to the organization. The “corrupted” data elements are mostly replaced, modified, or deleted. Data cleansing makes the data consistent with other data sources.
  2. Data validation quality checking
    The second and final step is to check the quality of data validation and ensure that it is accurate and relevant. Using AI-powered computational rules, the tool checks the validity of the data followed by sending the feedback to enforce the rule.

What are the benefits of automated data validation?

How do organizations benefit by automating their data validation? Here are some of the benefits:

  1. Faster validation
    As compared to manual validation, automation tools can validate the data more faster and for higher data volumes. For example, automated validation tools can process thousands of datasets in a few seconds.
  2. Eliminates all human intervention
    Automated data validation works well for data professionals, as they can focus on high-value tasks instead of performing manual repetitive tasks. With automated validation, companies can reduce their reliance on technical professionals and skills.
  3. High-quality data generation
    Automated validation tools can capture more data errors or inconsistencies – particularly the data coming from diverse sources. This enables organizations to generate high-quality and consistent data, necessary for making data-driven business decisions.
  4. Cost savings
    Automated data validation also enables cost-efficient data management by generating real-time accurate data. Through automation, organizations can also save labor costs by employing a lesser number of professionals.

How Onix’s Pelican tool is delivering worry-free data testing

Onix’s Pelican is an AI-powered automated data validation tool that can help organizations test their data without worry or stress. Irrespective of the size of the data, Pelican enables AI-powered data testing through efficient customization and automation of your data pipelines. With the Pelican tool, organizations can quickly achieve digital transformation through cloud migration while focusing on their business goals and objectives.

Here’s how Pelican simplifies data testing:

  1. Automated data validation and reconciliation
    With automated validation, Pelican can reduce the level of manual efforts and save significant time spent on manual validation and reconciliation. This is critical to accelerate digital transformation initiatives without the worry of cost escalation.
  2. Zero coding
    What’s even better about the Pelican tool is that there is no need to write any code for test cases. With no-code/ low-code development tools, organizations can automatically generate code for data validation and reconciliation. Additionally, there is less dependence on personnel with technical skills, thereby saving a lot of money, time, and resources.

At Onix, we have designed the Pelican validation tool to maximize your benefits and reduce the time taken for a smooth cloud migration for our customers. If you want to know more, book a free product demo of the Pelican tool now.

You can also sign up for our upcoming Pelican webinar on May 9th – and learn what industry experts have to say about our Pelican tool.

Reference links:
https://www.comtecinfo.com/rpa/automation-data-validation/
https://firsteigen.com/blog/what-an-automated-data-validation-tool-can-do-for-operational-and-transactional-data/
https://datasemantics.co/what-is-data-validation-why-automate-it/

Related blogs

Subscribe to stay in the know

Your trusted guide to everything cloud

No matter where you are on your journey, trusted Onix experts can support you every step of the way.