What is Data Observability?
Explore the key elements of data observability, and how it helps you take a more proactive approach to data quality and trust for bigger results.
Learn moreData Quality Solutions
Minimize business disruption and prevent costly downstream data and analytics issues with data observability solutions – intelligent technology that proactively alerts you to data anomalies.
Data Observability |
“Observability continuously monitors and tests data for drift and shift within acceptable tolerances defined by policy. Notifications are triggered when data falls out of bounds.” 1
-IDC
Working backwards to repair data issues can get very expensive, very fast. But what if you could catch these problems in real time, fix them faster, and cut costs?
That’s where data observability can help. To determine whether it suits your organization’s needs, ask yourself the following questions:
If any of these issues sound familiar, your organization can benefit from a data observability solution. As part of an overall DataOps strategy, data observability enables trust in your data and analytics. Data observability ensures data reliability by monitoring your organization’s data, performing analysis to determine current and potential adverse data events, and alerting those who need to resolve the issues.
“Data observability improves reliability of data pipelines by increasing our ability to observe changes, discover unknowns and take appropriate actions.” 2
-Gartner
Trust in data is vital for today’s enterprises, which are using analytics to identify strategic opportunities and feeding AI/ML models that automate decisions. Data observability plays a powerful role in ensuring that data is reliable, providing these key benefits:
“By 2026, 30% of enterprises implementing distributed data architectures will have adopted data observability techniques to improve visibility over the state of data landscape, up from less than 5% in 2023.” 3
-Gartner
Learn how Precisely can help with data observability challenges using the Data Observability module of the Data Integrity Suite.
1 IDC, Phil Goodwin and Stewart Bond, “IDC Market Glance: DataOps, 2Q21” (June 2021)
2 Gartner, Hype Cycle for Data Management, 2022, Melody Chien, Ankush Jain, Robert Thanaraj (June 30, 2022)
3 Gartner, Innovation Insight: Data Observability Enables Proactive Data Quality, Melody Chien (July 2023)