“Data Governance is like Lord of the Rings. You are on a journey to cast obfuscation and bad decisions into the fires of Mount Doom. To succeed in this quest, you will need a fellowship of data” said Mark Horseman, Data Enthusiast at the Northern Alberta Institute of Technology (NAIT), in his presentation titled Socializing […]
Case Study: Building a Business Intelligence Team with Confidence and Transparency
Meeting the company’s goals is the responsibility of everyone in the organization, so even those who aren’t directly influencing the cost or the revenue side should know what those goals are. “No matter who you are, you are directly or indirectly affecting key company metrics,” said Vanessa Lam, Business Intelligence Manager for Optoro. Lam shared […]
2019 DATAVERSITY Top 20
It is once again time to look back and evaluate the struggles and successes of the previous year and then build those lessons into the year to come. Part of how we do that here at DATAVERSITY is to look at the content consumed by the community over the year and evaluate what was hot […]
The Importance of Data Literacy
Walk into a company embracing digital transformation and you’ll find monitors displaying colorful charts and pie graphs decorated with numbers. These dashboards show information about the business meant to assist employees in prioritizing work, seeing new opportunities, and driving efficiency. An important question remains, though: “How many employees trained on a business’ dashboards know how […]
How Can the Chief Data Officer Facilitate Data Literacy and Data Democracy?
“Data Literacy: It’s all about how to get people in an organization engaged so that they can make decisions and take actions that can collectively drive better decision-making,” said Harald Smith, Director of Product Management at Syncsort. Smith is a strong proponent of Data Democracy. “Data Democratization” is the idea that digital information should be […]
The Data-Information-Knowledge Cycle
Data Management is a very lexically challenged discipline. A major part of that lexical challenge is the terms “data,” “information,” and “knowledge.” These three terms are often misused, abused, and used interchangeably to the point that their real meaning is often unclear. These three terms must be formally defined – in order to create a […]