When recently asked what business priorities are most important to the data management efforts at their organizations, increasing operational efficiency was the top answer given by DBTA subscribers followed by improving decision making and automation. How do they plan on achieving gains in these areas? For the majority, the path to achieving agile, data-driven operations lies in building better trust and understanding by data consumers. Right now, our readers are telling us that data quality and data governance are their top focus areas for improving data management.
Not surprisingly, gaining better visibility into the sprawling data ecosystems of today’s organizations is essential to moving the needle here. After all, as the saying goes, you can’t improve what you don’t measure. To ensure that data is flowing properly through various data pipelines, processes, and workflows—and that data is accurate, consistent, and meets quality standards—you need the ability to understand and monitor data throughout its lifecycle.
It’s from these challenges that the concept of data observability rose to prominence and is quickly gaining traction as a combination of tools, practices, and organizational culture. To help IT leaders and data teams navigate the key technologies and strategies for achieving effective data observability to drive improvements in data quality and data governance, DBTA is publishing a special report in September 2024. “The Data Observability Imperative: Quality, Reliability, and Performance,” will be marketed to more than 100,000 qualified subscribers at organizations across North America. Sponsors get to promote their solutions in the report and receive all the leads produced from downloads, fully screened and cleansed. Download the synopsis below.