Today, data literacy is more important than ever.
Data is now being used to support business decisions few executives thought they’d be making even six months ago.
With your employees connected and armed with data that paints a clear picture of the business, your organization is better prepared to turn its attention to whatever your strategic priority may be – i.e. digital transformation, customer experience, or withstanding this current (or future) crisis.
So, what is data literacy?
Gartner defines data literacy as the ability to read, write and communicate data in context, including an understanding of data sources and constructs, analytical methods and techniques applied — and the ability to describe the use case, application and resulting value.
For years, we’ve been saying that “we’re all data people.” When all stakeholders in an organization can effectively “speak data” they can:
Without good data, it’s difficult to make good decisions.
Data access, literacy and knowledge leads to sound decision-making and that’s key to data governance and any other data-driven effort.
Data literacy enables collaboration and innovation. To determine if your organization is data literate you need to ask two questions:
Businesses that invest in data intelligence and data literacy are better positioned to weather any storm and chart a path forward because they have accurate, trusted data at their disposal.
erwin helps customers turn their data from a burden into a benefit by fueling an accurate, real-time, high-quality data pipeline they can mine for insights that lead to smart decisions for operational excellence.
erwin Data Intelligence (erwin DI) combines data catalog and data literacy capabilities for greater awareness of and access to available data assets, guidance on their use, and guardrails to ensure data policies and best practices are followed.
erwin Data Literacy (DL) is founded on enriched business glossaries and socializing data so all stakeholders can view and understand it within the context of their roles.
It allows both IT and business users to discover the data available to them and understand what it means in common, standardized terms, and automates common data curation processes, such as name matching, categorization and association, to optimize governance of the data pipeline including preparation processes.
erwin DL provides self-service, role-based, contextual data views. It also provides a business glossary for the collaborative definition of enterprise data in business terms.
It also includes built-in accountability and workflows to enable data consumers to define and discover data relevant to their roles, facilitate the understanding and use of data within a business context, and ensure the organization is data literate.
With erwin DL, your organization can build glossaries of terms in taxonomies with descriptions, synonyms, acronyms and their associations to data policies, rules and other critical governance artifacts. Other advantages are: