Importance of Data Validation and Different Methods of Data Validation | NextPhase.ai

Описание: https://nextphase.ai/ -- Data validation helps organizations check the accuracy and quality of their data. Data validation is typically carried out before data is imported or processed. Ensuring the accuracy of data and establishing its quality on a routine basis also allows organizations to perform a data cleanse – an essential step, considering the massive amount of data collection happening today.

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Incomplete data, duplicate data, or incorrect data can be extremely damaging, and it can negatively impact business analysis and predictions. This in turn can impact effective business decision-making both in the short and long run.

Data Validation Process
The process of data validation involves introducing multiple checks into a system or into reports that work to ensure logical data consistency – both at the input stage and also in data storage.

If you use an automated system, then human supervision and intervention will be minimal. However, it’s critical to ensure the data entered into the system is accurate, complete, and addresses all the established quality standards.

If your data is corrupted in any form (inaccurate, incomplete, and duplicate) it will cause downstream reporting issues, which in turn impact business results. Even when it comes to unstructured data, if the data is incorrectly entered, it can result in costs incurred by way of not only cleaning the data but also in data transformation, and storage of data.

How to perform data validation?
Validation by Scripts

If you are fluent in coding languages, then validation by scripts can be one option for data validation. This method allows you to easily compare data values and data structure to check if they match or fit within a set of predefined rules. This helps in ensuring that your data entered falls within the necessary quality parameters.

However, if you’re managing complex data or dealing with extensive data quantity, data validation using validation scripts can be a lengthy and exhaustive process.

Validation by Programs

There are several software solutions available which can be used to perform data validation. If you’re using a software program for data validation, the process can be easier and can help increase data accuracy. Data validation programs are designed to follow set checks and to understand the type of file structures you are working with.

What is a data validation tool?
Data validation can help ensure your data is clean, accurate, logical and consistent. However, data can easily get corrupted due to several factors such as complexities of user interface, redundant, inflexible, or faulty business processes, poor master data maintenance, and inefficiency within your data entry and storage processes and this in turn can lead to financial losses. This is where a data validation tool can play a critical role.

A data validation tool can help you efficiently manage and master data validation at all stages via the use of specified validation rules, or check routines as they are also called, to help check your data accuracy, consistency, and relevance.

The results of conducting data validation heavily rely on the meticulous implementation of the predefined validation routines or checks all through the data lifecycle.

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About NextPhase.ai
NextPhase.ai is a data cloud services provider specializing in Snowflake, cloud data management and analytics technologies. We accelerate enterprise digital transformation initiatives by leveraging our innovative cloud data management technology, “NextPhase.ai DATAFLO” to optimize and rationalize disparate enterprise data into relevant insights. “DATAFLO” is designed to automate the lifecycle of data management transformation using AI and ML along with expeditious on-ramps to the Snowflake data cloud infrastructure. NextPhase.ai provides a range of technology consulting services for the Financial Services, Biotech and Technology industry sectors combining our platform-based services, seasoned talent, and industry proven methodology so our customers can harness more from their data. We are a Silicon Valley based company with global presence having delivered high value service engagements for numerous Global 2000 enterprises.