Informatica once again named a Leader in the 2021 Gartner® Magic Quadrant™ for Data Quality Solutions
Fourteen years is an eternity in technology—and for much of that time, I have heard commentators claim that new and emerging technologies would reduce the need for data quality solutions. For example, Big Data was supposed to eliminate the need for data quality. The assumption here was that because there was so much data, that any data quality problems would have a minimal impact. The same talking heads later claimed that AI would solve data quality problems automatically and AI models would perform just as well with dirty data. However, in both of these cases it has become clear that without clean, trusted data, these initiatives fail to deliver. In a paper published by Google Research (1), they noted that “data quality carries an elevated significance in high-stakes AI due to its heightened downstream impact, impacting predictions like cancer detection, wildlife poaching, and loan allocations.”
While I have been working with data quality solutions since 2003, I think it would help those of you who are new to data quality to provide a brief definition.
Gartner defines data quality as “the processes and technologies for identifying, understanding, and correcting flaws in data that support effective data and analytics governance across operational business processes and decision making. The packaged solutions available include a range of critical functions, such as profiling, parsing, standardization, cleansing, matching, monitoring, rule creation and analytics, as well as built-in workflow, knowledge bases and collaboration.”
So here in 2021, data quality continues to gain importance for organizations that are transforming their business and operations that support such initiatives as customer experience, data and analytics governance, operational efficiencies, predictive analytics, application modernization, and business resilience. This is why the Gartner® Magic Quadrant™ for Data Quality Solutions (2) is such a highly anticipated and valued report. We understand the formulation of the report comes from a range of sources including:
With that in mind, here are the key highlights for me this year:
Here at Informatica, we are proud of what we have achieved with Informatica Data Quality over the last number of years. Our consistent track record of successful deployments is the key strength of Informatica. We believe our placement as a Leader validates our ability to deliver the next generation Data Quality experience for organizations. As a result, over the past 12 months we have seen tremendous growth and adoption of our Cloud Data Quality offering as companies look for vendors that deliver data quality solutions natively in the cloud.
One more key point: We feel maintaining a Leadership position in the Gartner Magic Quadrant for Data Quality Solutions for 14 years would not be possible without our loyal customers, who have inspired and challenged us to deliver new innovations that deliver value to their organizations. With Informatica Data Quality solutions, companies like Celcom are accelerating 5G innovations, CNP Assurances are reducing the risk of cybercrime, Eli Lilly is improving analyst and engineering productivity, Telus is connecting with 14 million customers in a personal way or CVS, who achieved a 95% reduction in manual effort to analyze data.
We hope that you’ll take a moment and download your complimentary copy of this report.
(1) Nithya Sambasivan, Shivani Kapania, Hannah Highfill, Diana Akrong, Praveen Paritosh, Lora Aroyo for Google Research (2021), “Everyone wants to do the model work, not the data work”: Data Cascades in High-Stakes AI
(2) Gartner Magic Quadrant for Data Quality Solutions, Melody Chien, and Ankush Jain, September 29, 2021
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