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" ... All of the world’s trades – building, farming, producing, designing, teaching have been invented by human beings. All of the national borders are drawn, regulations built and industries discovered by human beings. All of the civil structures are modeled, socio-cultural theories formed and practices constructed from within; yet, somehow, after decades of relying on the inner qualities available to us, we seem to develop a perception that we have outgrown the powers that have carried us forward thus far. It is surely a pity and a gift that we get to realize in today’s current (COVID-19) environment that what we may need is a set of different thought schemas to shift our work and otherwise life experiences at large. ... "
" ... Here are 3 practices that allow you to combat negative schemas and reframe a problem: ... "
" ... The effort of creating such schemas can often be time consuming, and in the process opens up the potential for different groups within an organization to seek solutions that are optimized for their requirements, even if they are inconvenient for others. For people who work with such data dictionaries - business analysts, taxonomists and ontologists - this struggle was an inevitable part of defining an organization's data language, but it didn't mean that it was an enjoyable part. ... "
" ... To the extent possible, determine what data-stores currently exist, how difficult such systems would be to integrate with at various levels, and identify the schemas that each database exposes (either directly or via service interfaces). As a matter of principle, such data audits should be routine, though in most organizations that's not the case. Note the use of data-stores here, not databases. In many cases, the most interesting data that should be captured at an enterprise level is data that describes the organization or its processes, people or products. Put another way, interesting enterprise data is more often than not what would actually be dubbed metadata. ... "