Data Observability Core to Data Strategy for 92% of Leaders: CDO Magazine & Kensu Report

(US and Canada) CDO Magazine announced today the results of the first definitive study of the data observability market it conducted with Kensu, the Data Observability company.

The findings of The State of Data Observability 2023 study reveal that 84% of data management leaders place improving data quality and reliability as their highest current priority, with 92% agreeing that data observability would be a core part of their data strategy in the next 1-3 years.

CDO Magazine surveyed 185 global data management decision makers at companies with more than $50 million in annual revenue.

The joint research reports only 7% of data teams resolve data issues before they impact users, and that data pipeline issues are wasting internal resources (57%), adding stress (55%), and creating conflicts with data consumers (58%).

In addition, 39% of data teams spend between 20 and 40% of their time fixing data pipelines, with 51% saying it takes a few hours to resolve a single incident, and 36% a few days or more.

The report provides insight into the priorities and barriers to the adoption of data observability. Importantly, survey respondents indicate data observability is more than a monitoring tool. The prevention of data issues is seen as the most significant benefit by 80% of respondents.

Based on the findings, the data observability market will reach maturity in 2024, with 37% of respondents planning to implement a data observability tool in the next 12 months and 35% in the next 2-5 years.

Steve Wanamaker, CDO Magazine Founder and Publisher, says: “As the consequences of data pipeline issues to data teams rise, so does the need for data observability – which is evidenced in the research published with Kensu today. As the first report of its kind, the State of Data Observability 2023 provides a snapshot of the market from the perspective of global data leadership.”

“The results from this research confirm the value Data Observability brings to data teams across organizations, and the necessity to incorporate data observability into a data strategy framework,” says Eleanor Treharne-Jones, CEO at Kensu. “Ensuring  trust in data is essential to data-driven decision making and foundational to the success of generative AI.”

Kensu CEO Treharne-Jones defines data observability and highlights how observing data in motion in real time gives data teams the power to keep bad data from getting into tools and applications.

About Kensu.io 

Kensu’s Data Observability solution stops bad data from hurting your business. It allows data teams to drastically reduce risks and costs related to data incidents and helps them scale up value creation from their data. Its disruptive approach goes beyond simply scanning data files and collecting application logs. Kensu observes data where it counts: where and when the applications use it, putting data teams in control, troubleshooting data issues faster, and preventing them from propagating.

Headquartered in San Francisco with offices in Belgium and Italy, Kensu has been chosen by some of the largest global enterprises to build trust and get the most out of their investment in data.