Database Cross Checking: Ensure Integrity in Complex Documents

Any critical business decision yields 100% positive results only when the decision-makers have the right data. Nowadays, data is the main and wholesome component in all decision-making processes. To ensure the true value of the data, database cross checking is a must. It’s a proven method that can ensure the complete integrity of your data located in complex documents.

Let’s elaborate further on this concept and check how to enable it to verify your data in this detailed blog.

Cross-checking generally means to verify something by checking it from another source. Errors can happen at any time, especially when performing critical tasks. We are in the middle of a data-driven era where everything (from invoices to contact forms) is digital. You can have all the details in digital format and store them in your database.

However, while extracting information from the digital file, mistakes (mainly typos) can happen. Rather, it’s quite natural. For this reason, you need database cross checking to ensure there is no typo in your database at all.

Let’s take an example to understand how cross-checking works in dbase.

Suppose you have maintained two separate databases to store invoice data. One you used to store rough files (the invoices you get) and another to record the invoice numbers. To validate whether you are extracting numbers from invoices, you need to initiate database cross-checking. In this case, you can go for a random check. Here, you need to take up any invoice number you put before and compare it with the actual invoice that you have stored.

If the numbers in both databases match then you can confirm the accuracy of your data. If not, you need further help to rectify the mistakes. You can consider professional data entry experts also to fix your database issues.

Cross-checking is a popular technique and is extensively used in data work to verify records. Not limited to verifying the data but it has some other functions too. Through database cross checking, you can maintain consistency and compliance with your data. Let’s talk about everything that makes cross-checking databases important in this section.

Data management is a broad thing that consists of small processes. The vitality of having accurate data is important, only after that, you can manage all data. Data cross-checking can help provide accurate data to manage data functions in a far better way. Further, it can help businesses in the following three ways to manage documents better.

You can initiate database cross-checking in two ways; one is random, and another one is thorough. Random cross-checking is more fruitful as it can catch data mismatches quickly. Remember, you need to perform this method in all your data corners to get the true picture. For instance, when checking invoice data, you need to check terms, amounts, dates, etc, and verify the consistency.

Following data regulations is essential otherwise regulatory bodies can charge heavy penalties. Interestingly, Gartner already has predicted that companies will pay more than $1 billion by 2026 for data mismanagement conducts. However, cross-checking can help rectify data mismanagement issues as it helps organizations in data compliance. For that, you need to adopt database cross checking as in your regular practices to stay ahead of regulatory demands.

Imagine how much money can go to waste when you make any bad decision, that too because of bad data. Picture this, you have to make a payment to a vendor in his bank account ending with “326” and you paid that into a bank account ending with “376”. It’s basically a huge mistake and can cost you heavy, which you cannot recover soon.

However, considering frequent cross-checking could help you in this case making that mistake. That’s the main reason big companies deploy skilled people to work with the responsibilities to cross-check every data (from start to end points).

Having reliable data by your side is like a jackpot. You can make the best decision utilizing that data. Database cross checking lets you take that benefit. It basically highlights errors even before you start considering any database for your decision-making process. Besides highlighting the errors, it rectifies them and presents a complete picture of the database. Overall, you can make better decisions to improve your business performance.

With a stable data cross-checking system, you can easily point out external matters and kick them out of your database. This system constantly alerts the data administrator about data mismanagement. Therefore, they can take the necessary steps quickly and protect the database from getting damaged further.

Database cross checking is a common practice followed in major industries. From hospitality to human resource firms, the list is quite big. It helps them manage complex databases and maintain an accuracy rate throughout. The following industries use this technique to maintain the accuracy level of their data.

After getting all the resumes, a recruiting agency puts all the details into its separate database. Because it helps them find the right candidate in the future and make connections. Utilizing cross-checking the agencies can ensure they put the right documents into their databases. Plus, they can check whether they are consistently doing it or not.

The loan management companies cannot actually afford the risk of data failure. They take the help of database cross checking techniques to ensure completeness of their records. It helps check the accuracy of their financial documentation, loan agreements, mortgage documents, and other paperwork as well.

Putting values wrong in ML training data can put down the whole AI development project. However, cross checking can help test the database at each point and ensure the correctness of data. For this reason, AI development agencies always prefer to include a cross-checking mechanism at their point. It helps them stay on track.