Top Features and Solutions to Look for in Data Quality Tools

You probably didn't know that poor-quality data costs businesses an average of $12.9 million annually. But that's not all. Approximately 60% of tech executives believe that poor data quality is the main barrier to scaling data solutions. If that doesn't worry you, remember this is the same data you'll use to analyse performance and market your products or services.

If you want to make good decisions and maintain data integrity in your business, consider utilising data quality tools. With so many tools in the market at the moment, however, you should select the right tools by considering the following features:

1. Source Level and Downstream Data Quality Support

The majority of data-quality tools are based on either source-level or downstream data quality assurance. Source-level tools are built to maintain data quality at its origin. In contrast, downstream data quality tools come in handy for data quality issues that occur during transformation or in scenarios where quality can't be enforced at the source.

As long as you choose top-rated data quality tools like Trestle APIs, you will get great performance across a wide range of data quality assurance processes. Such tools are built to perform excellently, whether you're entering new data or verifying existing information. The best part is that you can automate them.

2. Data Profiling

Data profiling is a function that analyzes data to reveal its structure, quality, content, and relationships. The main purpose of this function is to help identify anomalies, missing values, and duplicates. It also provides a clear picture of what your data landscape looks like. Top-quality data quality tools have strong profiling capabilities for advanced statistical analysis and quality evaluation, as well as facilitating the setting of validity rules for continuous monitoring.

Therefore, it's crucial to choose a tool with robust data profiling capabilities if you want to maintain the integrity of your data.

3. Automated Anomaly Detection

Anomaly detection is one of the top ways to prevent fraud in a business setting. However, manual detection can be quite tedious and often impractical if you're dealing with a huge volume of complex data. The better solution in such a situation would be an automated anomaly detection tool, probably one that uses artificial intelligence (AI) and machine learning (ML).

4. Scalability and Integration Capabilities

Make sure to choose a data quality tool that makes it easy to handle increasing volumes of data. As your business grows, you will have to process data in larger quantities and with increased complexity. You need to be sure that the tool you choose will work flawlessly when employed in such situations.

But don't stop there. You should also get a data quality tool that's easy to integrate with your existing data management tools. This facilitates smoother data flows and a more comprehensive data management approach.

5. Data Cleansing and Management

These two are crucial for guaranteeing data quality in any organisation. Data cleansing makes it possible to correct inaccuracies, inconsistencies, and incompleteness.

On the other hand, master data management is a vital input for centralised data management and facilitating effective governance processes. That way, you can always have a single reliable source of truth for your data entities.

6. Reliable Customer Support

You may think that this isn't a vital factor to consider when choosing data quality tools, but that's not the reality. In truth, comprehensive customer support is one of the top considerations you want to have in mind when choosing a data quality tool.

That's because each tool is different, so it will not only behave uniquely but also require custom training and troubleshooting for various issues. You should be sure that there's someone to hold your hand if it gets to this point.

Go Beyond Your Potential With Trestle

Running or managing any business is never easy, and that's a known fact. However, if you're able to handle one or two areas effectively, you will be a step or two closer to victory. One of the best areas to excel in for any business owner or manager is data handling and management.

Trestle supports your efforts by offering advanced data quality tools with unmatched performance and reliability. But don't take our word for it. Visit trestleiq.com today to find out for yourself.