Data Quality

Advanced infrastructure for superior data quality

Smart, effective data quality processes powered by machine learning

Raising the bar for data quality

Traditional, manual data mapping leaves the door open for large-scale human error and unreliable data quality. Intrinio combines powerful data quality infrastructure, advanced machine learning, and hyper-efficient human review to deliver financial data that you can trust.

Our holistic data quality process

Intrinio’s systematic approach to data quality relies on five main components:

Automated flagging

Our data processing engine flags high-risk data and potential discrepancies and suggests fixes.
Human review

A data expert reviews flagged data and applies fixes before our users encounter the issue.
Conservative publishing

We won’t publish data with known, unresolved errors, so you can trust the data you retrieve.
Continuous improvement

Our system gets smarter with each filing, and we adapt to changes in the way companies file.
Built-in ticketing

Users can quickly raise data quality concerns and speak directly to our US-based data experts.

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A word from our customers

“Working with Intrinio has been wonderful. When seeking a data partner, we sought a good fit, with open lines of communication. Intrinio has allowed us to be successful in developing our new data platform and has been a great partner in our joint product offering venture.” 

-Business Valuation Resources

A word from our customers

“We were able to establish an open and fruitful technical collaboration… Intrinio has a large variety of data, and quality is excellent. They are flexible and open to requests when we need customization and also very knowledgeable in fixing technical issues when they arise.” 

-FinScience

A word from our customers

“Intrinio’s team has great values in terms of work ethic and ambition… Customer support is really impressive, with a tech department that gets back to us within the day… You are going to get innovation, ambition, great values, great customer service.” 

-Ziggma Portfolio Manager

A word from our customers

“The documentation is clear, the data quality is good, and the support team is very reactive. The team is fast and is embracing innovation while keeping good quality data and reliable APIs, which is what we were looking for and failed to find in other data providers… We are looking forward to continuing using their services for the years to come!” 

-Alquant