triadaden.blogg.se - Tagging data creator

TAGGING DATA CREATOR HOW TO

On the Tagger page, use the mouse to select a date.

TAGGING DATA CREATOR HOW TO

See Create a page set that contains a single page or Create a page set that contains multiple pages for help on how to start tagging a page.

Have you had any experience with data tagging? Share your experiences and recommended practices with the community by leaving a comment below. You may find that you need to re-standardize and re-apply your existing tags. Plus, if tagging doesn't consistently deliver the benefits described above, then investigate why. While many tags remain applicable for a long time, don’t assume they will always stay that way. It’s important to remember that business terminology and business context rarely stay static. That is sometimes better suited than assigning multiple, individual tags. This analysis may also help further standardize the tags by revealing that a frequently used combination of tags should be available as an additional standard tag value. Frequency distribution analysis of tag values, both individually and in various combinations, can help prune extraneous tags for optimal efficiency. But tags can lose their significance if you fall prey to getting too carried away with applying tags. I know this recommendation sounds like a contradiction of the previous data tagging best practice. It could also identify business groups most interested in tagging a particular source – which might make that group a logical candidate to be its data steward as well. But since most data can be used for multiple purposes, it’s important to use all applicable tags. Use all applicable tagsĪs with a lot of metadata management tasks, you can try to skate along – doing the bare minimum by only applying one or two tags. These can lead to inappropriate data relationships and inefficient searches for data about a particular subject. Without establishing standard values, tagging often produces homonyms (i.e., the same tags used with different meanings) and synonyms (i.e., multiple tags for the same concept). The business data term list in a business glossary provides an authoritative vocabulary that promotes a common understanding between stakeholders in an organization. Standardize the tagsĭata tagging is a subset of the essential metadata that makes up a business glossary. Let’s examine four data tagging best practices.

Help flag and filter ethically dubious or otherwise questionable data before any of it is used in decision making or artificial intelligence solutions.

Help identify sensitive personal data so access can be properly managed and governed.

Improve big data quality, especially by making unstructured and semi-structured big data more usable.

Enable efficient data discoverability – so when data is needed later for specific business purposes, it's quick and easy to locate the most applicable data.

Help determine how much data preparation should be performed on new data sources.

Within the context of enterprise data management, data tagging provides many benefits. We’ve all experienced disappointment when tagging was intentionally wrong and led us to click to supposedly related content – only to discover it was click-bait. Tags also play a big role in keyword searches and search engine optimization. Blog posts (like this one), online articles, videos, photos, podcasts and social media are all examples of unstructured or semi-structured data that rely heavily on tagging to connect them to related material. Many people are familiar with tagging outside the context of enterprise data management. Data tagging is only one aspect of that – but it's a very important one. The ability of disparate data to connect and combine (even when it’s co-located in the same data lake or cloud repository) is largely dependent on the metadata the data shares. This is why you should never overlook the important role metadata plays in the data ecosystem. While there’s no shortage of data available to your enterprise today, it’s often difficult to know what data you have and how it can be used. The more data you can apply to a business problem, the better its potential solutions.