Report investigates how effective data monitoring is connected to gaining value from data
TDWI Research has released its newest TDWI Best Practices Report: Data Monitoring, Management, and Observability. This original, survey-based report focuses on best practices organizations have implemented to maintain the health and performance of data ecosystems.
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Written by TDWI’s senior research director for advanced analytics, Fern Halper, the report explains that data assets must be trustworthy for enterprises to harness their full potential. Effective data monitoring and observability may involve traditional data management tools, newer automated and observability tools, manual checks, and/or homegrown tools.
In the report, Halper points out that “to get the most value from their data for analytics, AI, and applications, organizations must trust the integrity of their data.” The report discusses the strategic importance of implementing robust practices to maintain the health and performance of data ecosystems, ensuring that data is reliable, that organizations know when there are issues with their data, and outcomes are impactful and trustworthy.
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Among this comprehensive report’s key findings:
• Survey respondents who utilize advanced tools such as modern automated data quality tools, specific data quality tools, and data observability tools are more likely to report gaining value from their data.
• Common challenges that prevent enterprises from deriving value from their data are both organizational and technological, for example, lacking specific roles and complications in the data ecosystem.
• Sixty percent of survey respondents performed at least some of their data monitoring manually.
• Foundational practices such as regular data audits, secure databases, strict access controls, the role of the data steward, and DataOps are generally recognized and adopted across all organizations.
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