Today’s data powers everything we do – from the processes we build to the tools we use, the decisions we make, the interactions we have, etc. As data becomes the most valuable asset for organizations, they must manage it in a way they can realize full value. This has led to the need for strong data governance that helps in keeping a check on how data is collected, analyzed, stored, shared and used. 

Despite the growing focus on data governance, not much is being said or done about observability. What is observability? Why does it matter? And how is it connected to data governance?

Although data governance helps in establishing the right set of data management policies and procedures, and it enables organizations to develop a clear understanding of what data needs to be collected, where it comes from and how it is stored, analyzed, and used, current data stacks are growing beyond boundaries. With data sets now scaling with more data sources, more tables and more complexity, there is a pressing need to maintain a constant pulse on the health of these systems. Since any amount of downtime can lead to partial, erroneous, missing or otherwise inaccurate data, organizations need to do better than just implementing a handful of policies.

Despite various key differences, there are specific aspects that overlap, creating a strong potential for fruitful collaboration and integration. Identifying the capacity of all business information involved in your organization is an initial step toward a universal approach to a general consensus and collective comprehension of roles and responsibilities.

Nearly every business is dealing with an incredible amount of data. But collecting it isn’t the same as understanding it — and we’re facing a critical skills gap.

Leaders who aim to enhance organizational performance through the use of digital technologies often have a specific tool in mind. But digital transformation should be guided by the broader business strategy.

Data Harmony is a fully customizable suite of software products designed to maximize precise, efficient information management and retrieval. Our suite includes tools for taxonomy and thesauri construction, machine aided indexing, database management, information retrieval and explainable artificial intelligence.

Melody K. Smith

Data Harmony is an award-winning semantic suite that leverages explainable AI.

Sponsored by Access Innovations, the intelligence and the technology behind world-class explainable AI solutions.