Advertisement

Fundamentals of Data Virtualization

Organizations are increasingly employing innovative technology called “data virtualization” (DV) to tackle high volumes of data from varied sources. Data virtualization is widely used in enterprise resource planning (ERP), customer relationship management (CRM), and sales force automation (SFA) systems to collect and aggregate multi-source data. From multi-sourced data acquisition to advanced analytics, this technology seems […]

Data Literacy Trends in 2024

Data literacy has become a critical skill in today’s technology-driven world. As we begin 2024, the importance of data literacy trends cannot be overstated. Organizations are recognizing that data is no longer just a byproduct of their operations but a valuable asset that can drive informed decision-making.  Data novices are individuals who lack the skills […]

2023 DATAVERSITY Top 20

As the year draws to a close, we here at DATAVERSITY have an annual tradition of digging deep into our data and reflecting on the hits and misses. What was the most popular Data Management content on dataversity.net and our training center over the past 12 months? Which core topics did you – our data […]

The Challenge of Data Accuracy

Data has become one of the most valuable assets of modern businesses. The data a company collects, analyzes, and monetizes is now perceived as a distinct “asset class” rather than merely a byproduct of its IT operations. However, the value of data to an organization diminishes rapidly as the information becomes less accurate. Companies are responding […]

Data-Driven Decision-Making 101

Data-driven decision-making involves utilizing data and analytics to solve business problems. Relying on facts rather than intuition or personal opinions can lead to more accurate and effective decisions.   In business organizations, evidence-based decisions can optimize operations, enhance productivity, and drive growth. By examining trends, patterns, and correlations within datasets, business operators can uncover valuable information that helps […]

Critical Data Elements Explained

The process of identifying critical data elements (CDEs) is a fairly new best practice in Data Governance programs. Software does not yet support the identification process. CDEs may be described as the specific data needed for doing business (requiring high-quality data) or the specific data that is extremely sensitive (requiring good security). These particular data […]