Download the slides here>> About the Webinar Tackling Data Quality problems requires more than a series of tactical, one-off improvement projects. By their nature, many Data Quality problems extend across and often beyond an organization. Addressing these issues requires a holistic architectural approach combining people, process, and technology. Join Nigel Turner and Donna Burbank as […]
Data-Ed Webinar: The Importance of Metadata – 3 Leveraging Strategies
Download the slides here>> About the Webinar The first step towards improving data asset value is mastering organizational data leveraging capabilities. Improving your metadata practices effectively focuses on data leveraging strategies: Metadata – literally, data about data – is a practice area required by all organizations. Understanding metadata and its associated technologies as more than […]
ADV Webinar: Promising AI Use Cases for the Enterprise in 2024
Download the slides here>> About the Webinar Enterprises make use of AI to gain actionable analytics and intelligence from a universe of data sets. Harnessing artificial intelligence for the enterprise is a critical competitive advantage. Algorithms are becoming embedded in the fabric of the enterprise as well as all major software in use. Early adopters will […]
EEDL Webinar: Lost in Translation — Why It Takes More Than Literacy to Make Sense of Data
Download the slides here>> About the Webinar Anyone who works in data-oriented professions knows that there are frequent misunderstandings between data and business professionals. In some cases, teams even develop a level of discord or animosity. The tension is almost predictable. Business professionals and data professionals don’t just use different terminology. They are trained differently, […]
DAS Webinar: Data Architect vs. Data Engineer vs. Data Scientist — Making Sense of Roles in Today’s Data-Centric Organization
Download the slides here>> This webinar is sponsored by: About the Webinar The increasing focus on data in organizations has increased demand for critical roles such as data architect, data engineer, and data scientist. But there is often confusion and ambiguity around what these roles entail, and what overlap exists between them. This webinar will […]
ADV Webinar: The ROI of Master Data Management Is (Usually) There – Let’s Run the Numbers
Download the slides here>> This webinar is sponsored by: About the Webinar Master data is a key to digital transformation. All transformative projects require master data and usually many subject areas. What could you accomplish if cultivating customer, product, supplier, and other subjects didn’t have to be part of every project and could be accessed […]
Data-Ed Webinar: Data Modeling Types – Conceptual, Physical, Logical
Download the slides here>> About the Webinar A model is developed for a purpose. Understanding the strengths of each of the three Data Modeling types will prepare you with a more robust analyst toolkit. The program will describe modeling characteristics shared by each modeling type. Delegates will be able to trace model components as they […]
EEDL Webinar: How Literate Is Literate Enough?
Download the slides here>> About the Webinar Experts differ in their opinions about the levels of literacy required by workers – from basic terminology to advanced analytic skills for everyone. Some feel that different jobs require different levels of literacy, others believe that all professionals need a grounding in research methods and data validity. But […]
DAS Webinar: What Does It Mean to Be a Data-Driven Organization?
Download the slides here>> About the Webinar There is a lot of buzz in the industry about the benefits of becoming a data-driven organization. What does data-driven mean for various industries from for-profit to non-profit firms? What roles make sense in a data-driven organization, and what are the benefits that working together to increase data […]
ADV Webinar: Every Database Is Multi-Modal – What Does This Mean to an Enterprise?
Download the slides here>> About the Webinar Today’s enterprises have an unprecedented variety of data store choices to meet the needs of their varied workloads. Because there is no one size fits all when it comes to data stores, this can lead to confusion and chaos. Enterprises have many needs for databases, including cache, operational, data […]