A recent post by our partner, Syncsort Trillium Software, introduces the concept of the data wedge. According to the post, which can be read here, the Data Wedge is the relationship between what data IS, what data DOES and what data MEANS. The post was inspired by a recent Trillium Software webinar on Gaining Clarity…
You’re not the only ones! Enjoy this classic Monty Python skit about the definition of an argument Next time you get stuck in an argument ask yourself if you might be doing this Happy holidays every body!
The 2016 Gartner Magic Quadrant for Metadata Management highlights the differing approaches of older, more IT-centric metadata management vendors, and newer business oriented solution providers. Metadata has historically been a technical discipline – delivered by metadata specialists or information architects, and the available tools have historically targeted this audience. The challenge – these technologies have…
In The Future of Data Governance, How the Analysts got it Right, Collibra CTO, Stijn Christaens analyses Gartner’s 2009 and 2015 research on the emerging Information Stewardship market. Their principle finding: The wide range of responsibilities that data stewards must carry can only be supported by a horizontal stewardship platform. In his post, which is…
Last week I chatted about the importance of context and governance to create meaning from definitions. By coincidence, I came across this related piece from Forbes. In The heartbeat of a data driven culture, Forbes contributor, Dan Woods, takes a practical look at the problem of creating context and giving metadata meaning. Dan takes a…
In many companies, data governance begins with a focus on roles and responsibilities. Critical data assets, such as the Business Data Glossary, are captured in the easiest available tool, such as Excel. At some point, the limitations of these “repositories” will show you that it’s time to move on to a better option. 1. You…
If a principle goal of data governance is to create context for the use of data within a company, which it is (as discussed in the post Why do you need data governance?) then data governance must include the definitions of terms – so called metadata management. Is there a difference between technical metadata (data…
