Take the confusion out of your metadata discussions

Business metadata

All good data starts with business metadata. This business metadata is the information we need to build a dataset. There is someone in the business who approved the collection and processing of data in the first place. He/she also provides requirements and descriptions on what is needed. The challenge is that this information is often not managed good enough throughout time which leads business metadata quality to decrease. And thereby decrease good data. And that affects your AI solutions, BI reporting and integration with platforms.

Become aware of the necessity and value of business metadata to enable support on data requests, make it findable and also understandable!

When we know what business stakeholders want, we can design and implement this into physical form through technical metadata. We can now build the solution or buy it of the shelf and map it to the business metadata.

Operational metadata

Now that we know what data we need, what it means and have a place to store and process data; we can start doing business. Doing business will generate operational metadata. Operational metadata is very valuable in monitoring our data processes. We get insights in what data is processed, how often, the speed and frequency. This is great input in analysing the performance of our IT landscape and see where improvements can be made. Further we monitor the access to systems and data. When we take it a step further we can even start analysing patterns and possibly spot odd behaviour as signals of threats to our data.

Step into the driving seat capturing and analysing your operational metadata and become pro-active in controlling your IT landscape!

Social Media metadata

Finally we take the social metadata as an inspiration. This is where the value of your data becomes even more tangible. Value is determined by the benefit the user experiences. The way that he uses the data is then an indicator of value. Thus if we start measuring what data is used often by many users, this data must be important and valuable. Invest in improving the quality of thatdata to improve the value created. Behaviour is also a good indicator to measure. How much time is spent on content and which content is skipped quickly. Apparently that content doesn’t match up with what the user is looking for.

Measure social metadata to analyse what data is used often by many. It is likely to be more valuable than other data.