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How data cataloging helps analytics cultures evolve

How data cataloging helps analytics cultures evolve

According to anthropologists, around 10,000 years ago, human civilization began to undergo a dramatic change. Until that point, most human societies had been hunter-gatherers, living in small, nomadic groups that spent the majority of their existence searching for food.

The great revolution occurred when humans learned to domesticate various plant and animal species. Agriculture provided much more reliable access to food, enabling the nomads to settle and build larger and more collaborative communities, ultimately resulting in the rise of cities and the creation of sophisticated civilizations.

To use this as an analogy for business analytics, most companies today are still making their transition from the hunter-gatherer lifestyle to a more settled and scalable model. Pockets of civilization certainly exist, especially in companies that have built mature data warehouses and dug out data lakes, but most business analysts still spend much of their time out in the wild, desperately searching through different databases, spreadsheets and file systems to find the data they need.

Why do knowledge workers spend more time gathering data than analyzing it? How can enterprises open up access to data assets that live outside the data warehouse? And is enterprise-wide analytics possible without forcing everyone to use the same analytics tools?

The time and energy spent on gathering data is a huge waste of skilled resources. It limits the potential of business analysts and data scientists to collaborate on an enterprise scale

ust as early human societies realized, knowledge workers must find ways to domesticate and farm their data to build a sustainable, scalable and exploratory analytics culture. If they can be confident that the data they need will always available and accessible when they need it, they can settle down and focus on building solutions of real value to the business.

That’s where intelligent data catalogs such as NCPL Knowledge Catalog come in. Data catalogs help to herd tribal knowledge and manage all the different data assets across an organization, providing a simple, convenient way to find, access and democratize data.

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