In today’s data-first business environment, the ability to convey complex information in an understandable and visually appealing manner is paramount. Different types of data visualization he...
https://www.dataversity.net/types-of-data-visualization-and-their-uses/
Data discovery deals with extracting useful information from data and presenting it in a visual format that is easily understood. The types of useful information discovered during the process ran...
As businesses adopt generative AI, a technology that creates new content and finds patterns, what will Data Science, the processes and activity geared to getting insights from big data, look lik...
https://www.dataversity.net/the-impact-of-generative-ai-on-data-science/
The use of Data Governance metrics as a measurement system promotes the efficient use and management of data. Establishing key performance indicators (KPIs) is normally the first step in monito...
https://www.dataversity.net/data-governance-metrics-how-to-measure-success/
“Why?” a chief technology officer (CTO) may ask when the subject of automated Data Management tools arises. After all, their organization has probably already been storing, archiving, and bac...
https://www.dataversity.net/automating-data-management-tools/
Many modern organizations are recognizing how important it is to develop a data-driven culture. A data-driven culture typically describes a workplace environment and involves making information r...
https://www.dataversity.net/why-is-a-data-driven-culture-important/
Despite the increasing participation of women in Data Management (DM) roles, women still confront gender-related challenges throughout their careers. One significant challenge is the persistent g...
https://www.dataversity.net/the-importance-of-women-in-data-management/
The terms “master data” and “reference data” can be confused fairly easily. Both provide data that changes only occasionally over time and provide data that is designed to be accurate and...
Over time, different types of data integrity systems and methods for promoting data integrity have been developed. Data integrity emphasizes confirming the data remains unchanged and consistent o...
The latest installment in our Q&A series with women leaders in data features Dr. Christina Sandema-Sombe, chief data steward of Nike, Inc. (Read our previous Q&A here.) Dr. Christina Sandema-S...
https://www.dataversity.net/women-in-data-meet-christina-sandema-sombe/
As we continue to do business in a digitally connected world, more data-driven organizations are prioritizing data stewardship and following best practices to improve data quality and management....
https://www.dataversity.net/data-stewardship-best-practices/
In the world of data analytics, dashboard tools are pivotal instruments, distilling vast quantities of complex data into comprehensible, actionable insights. These tools are not mere luxuries but...
https://www.dataversity.net/dashboard-tools-for-data-analytics/
“Can I trust this data?” In the dawning age of artificial intelligence (AI), this question becomes increasingly critical for individuals and organizations. Data reliability is the cornerstone...
https://www.dataversity.net/what-is-data-reliability-and-why-do-you-need-it/
Imagine a rapidly expanding small business with a 20% yearly growth tasked with establishing and maintaining a data-literate culture. Then, add a new Data Architecture upgrade with consider...
https://www.dataversity.net/case-study-establishing-a-data-literate-culture/
The process of data classification can be broadly described as the organization of data into relevant categories, allowing it to be accessed and protected more efficiently. In the simplest terms,...
https://www.dataversity.net/fundamentals-of-data-classification/