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How Data Governance and Data Literacy Overlap

In today’s tech-driven world, with 120 zettabytes generated annually, most of us already use data – and lots of it. “Everyone who reads a paper or scrolls through the Internet is already acquainted with data,” said Wendy Lynch, founder of analytic-translator.com and Lynch Consulting, in a recent Elevating Enterprise Data Literacy webinar. “We depend on data, compare data, react to data, […]

Data Governance 101

Data Governance (DG), a formalized practice that connects different components – such as roles, processes, communications, metrics, and tools – increases data’s value. By harmonizing these fundamental elements, governance ensures that the right data flows efficiently to the right resources at the right time. In this Data Governance 101 article, we will look at the definition […]

7 Common Data Quality Problems

Having Data Quality problems is a common – and costly – issue. According to Gartner, poor-quality data costs organizations an average of $12.9 million annually. Data Quality uses factors such as accuracy, consistency, and completeness in determining the value of the data. High-quality data can be trusted, while low-quality data is inaccurate, inconsistent, or incomplete. In […]

Five Essential Data Architecture Principles

Data Architecture principles are a set of policies that govern the enterprise data framework with its operating rules for collecting, integrating, using, and managing data assets. The basic purpose of the Data Architecture principles is to keep the supportive data framework clean, consistent, and auditable. The overall enterprise Data Strategy is built around these principles. […]