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Author’s note: this article about dataobservability and its role in building trusted data has been adapted from an article originally published in Enterprise Management 360. Is your data ready to use? That’s what makes this a critical element of a robust data integrity strategy. What is DataObservability?
It includes streaming data from smart devices and IoT sensors, mobile trace data, and more. Data is the fuel that feeds digital transformation. But with all that data, there are new challenges that may prompt you to rethink your dataobservability strategy. Learn more here.
With the majority of an organization’s data being unstructured and the need to tap into this enterprise data for downstream AI use cases, such as retrieval augmented generation (RAG) cases, clients are now interested in bringing DataOps practices to unstructured data.
For instance, a data breach or violation of privacy standards can lead to liability, expensive fines, and a slew of negative publicity that’s a hit to brand reputation and trustworthiness. Going into 2024, we see a continued trend towards enabling democratized delivery of data across business functions with repeatable, scalable processes.
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