Download the slides here>> About the Webinar When we learn a new language, the purpose is to be able to communicate with people who speak in ways that are different from us. But it takes both people to learn from each other. Very few data literacy courses focus directly on how people communicate with each […]
Case Study: Establishing a Data-Literate Culture
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 considerable changes to the business logic to this situation, causing a full-on panic. This journey, marked by confusion over data definitions and anxiety over system changes, describes the situation that Brooke Gajownik, director of […]
Fundamentals of Data Classification
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, the data classification process ranks data based on its security needs and makes it easier to locate and retrieve data. Classification is especially useful to […]
Creating a Data Monetization Strategy
A data monetization strategy is an executable plan for extracting “value” from data and converting it into revenue-generating opportunities. It involves analyzing and leveraging data to uncover insights that can be used to drive business growth, enhance customer experiences, and create new revenue streams. Organizations collect large volumes of raw data from various sources such […]
DAS Webinar: Master Data Management — Aligning Data, Process, and Governance
Download the slides here>> This webinar is sponsored by: and About the Webinar Master data management (MDM) provides organizations with an accurate and comprehensive view of their business-critical data such as customers, products, vendors, and more. While mastering these key data areas can be a complex task, the value of doing so can be tremendous […]
Graph Databases: Benefits and Best Practices
Graph databases have improved significantly since the 1990s, with new developments and a better realization of best practices. Graph technology has become one of the most popular methods of performing big data research. Its focus on finding relationships and its flexibility make it ideal for a variety of research projects. An awareness of new developments […]
Data Lakehouse Architecture 101
A data lakehouse, in the simplest terms, combines the best functionalities of a data lake and a data warehouse. It offers a unified platform for seamlessly integrating both structured and unstructured data, providing businesses agility, scalability, and flexibility in their data analytics processes. Unlike traditional data warehouses that rely on rigid schemas for organizing and […]
A Brief History of Data Ontology
It can be said that the history of data ontology starts with the development of ontology as a concept in Greece, back in the fourth century B.C.E. It was developed by Aristotle, the famous philosopher. Ontology is a branch of philosophy that is used to classify and explain “that which exists” or answer the question […]
RWDG Webinar: A Blueprint for Data Governance Roles
Download the slides here >> About the Webinar Are you considering ways to enhance your Data Governance roles to better empower individuals to drive data excellence and ensure data-driven decision-making in your organization? Are you interested in learning about the essential roles required for effective Data Governance and looking to provide a clear blueprint to […]
Informatica Demo: Bringing AI to Life With Master Data Management
Download the slides here >> Effective data management is essential to capitalize on an increasingly AI-driven world. Informatica Intelligent MDM & 360 Applications offer an all-in-one approach to master data management, ensuring that your most important business data is clean, accurate, secure and easily accessible for AI, operations, analysis and critical business decisions across your […]