Data quality is an essential, but tricky, task. With CloverDX's data quality features, you can discover and deal with bad data fast. With our platform, automate:
CloverDX gives you the ability to make better decisions with more trustworthy data.
It's easy to replicate similar data quality procedures on CloverDX. Define them once in a custom CloverDX component and share them across your teams.
Automatic error detection can pick up problematic data, avoiding future manual corrections.
Transform and validate incoming data right from the source, before bad data affects your pipeline.
With CloverDX's native and custom components, you can define data validation rules and build them into your workflows. The process is easy - simply drag and drop the components.
CloverDX's capabilities allow you to integrate with other sources (e.g. master data databases) for better data quality.
Don't let bad data stop your data pipelines. With CloverDX, you can build an error handling process into your workflows. This defines how you handle bad data while keeping your good data flowing at the same time.
Identify it, fix it, or remove it from the pipeline altogether. Once it's checked by the data owner, you're good to go. And once you fix the errors, you can feed the corrected data back in.
Often, code errors are unintelligible to non-technical users. With CloverDX's error reporting, non-technical users can resolve problems efficiently. They can see which records contain errors and what the error is. It's simple to pull these into an Excel file and send to an expert to fix.
When everyone has a bird's eye view of data errors, it makes fixing systemic problems easier.
CloverDX has data quality functionality built in, so you can implement data quality steps into your workflows quickly and easily.
Data filtering components check for invalid records as they come in and filter out any that don't meet your defined rules. This ensures better data quality further down your pipeline and ultimately more reliable results.
CloverDX's Validator component contains pre-built and customizable rules. These rules ensure your data meets your quality standards and allow you to validate against third-party sources. With CloverDX's repeatable approach, you can share and reuse these rules across your business.
Get an instant check on your data. Simply analyze it as it flows through the CloverDX ProfilerProbe component. These measures make profiling accessible throughout even the most complex data workflows.
A logistics company struggled with their address data as they expanded internationally. Different languages, alphabets and address structures were hard to work with. So much so, a dedicated team needed to manually verify the addresses to meet the company's delivery deadlines. But as the volume grew, the team couldn't keep up.
A data validation and cleansing framework, built on CloverDX, resolved their issue. The framework interfaces with third-party systems (e.g. Google Maps) to verify and repair 90% of addresses automatically. The team can now modify rules to support additional countries without the need for more coding.
This marketing company's customer contact details were inconsistent, duplicated and dispersed. So with CloverDX, they underwent a data quality audit. Email addresses and phone numbers were automatically verified, deduplicated and enriched with external sources. The end result was a clean database, reduced in size but increased in quality. This change led to more efficient targeting, resulting in more orders and huge cost savings.