The responsibility of gathering and integrating data for analytics has typically fallen on data warehouses. They create precision, accuracy and consistency out of messy transactional structures, so that users can look back and make sense of the past. This interesting information came to us from diginomica in their article, “Towards a semantics of data in a digital world – why is effective data collaboration so elusive?“
Over time, there evolved an entirely new challenge to precision, accuracy and consistency. Business analysts and data scientists are now involved in much more searching and discovery of data rather than navigating through steady structures. It is no longer a singular effort.
Beyond discovery of data, collaboration also allows making better use of data on hand. Up to 73% of all enterprise data goes unused. The reasons for this failure to use data are many, but one of the biggest is that teams aren’t even sure what data is relevant to a given question.
Making data accessible is something we know a little about. Whatever you are searching for, it is important to have a comprehensive search feature and quality indexing against a standards-based taxonomy. Choose the right partner in technology, especially when your content is in their hands. Access Innovations is known as a leader in database production, standards development, and creating and applying taxonomies.
Melody K. Smith
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