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Data Discovery starts with semantic data organisation

 As marketing manager, I am also responsible for market research. I collect amounts of different data from various sources, in different formats, in files and as Web links. Data has its context of meaning and relates to certain topics, I am working on. I want to save these data in a way, so that I am able to find data based on meaning and in connection to my current topic. E.g. I have data from market research institutions, data from various countries, data in different languages, data related to social media, data according branches, data about competitors and so forth.

Having semantic data organisation at hand, I can store a market analysis from a certain institute with all its meaning - “PDF”, “market analysis”, etc. - and connections to “Institute Name”, “Author”, “topic Digital Asset Management”, “US market” and so on.

When sitting at the computer and creating the report, I just have to open my intelligent data room and grab all relevant information to get my work done fluently. The better differentiated the data access the faster I find relevant information for my report. In addition, I can stick with the report writing, because I am not distracted from searching data already stored somewhere and being forced to start researching again. 

Semantic organisation of data has an essential advantage for my information work. I have the possibility to store data within its context of meaning - it’s like I think and so do others - and to find relevant information just in time for my current work.

It is the best to find out for yourself how semDAV can work for you –

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