Download the slides here>> This webinar is sponsored by: 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 […]
DAS Webinar: Artificial Intelligence and Machine Learning – Building the Right Architectural Foundation
Download the slides here>> About the Webinar Artificial intelligence (AI) and machine learning (ML) are increasing in popularity as more organizations are looking to become more data-driven. To support strong AI/ML models and algorithms, accurate and timely data is needed, supported by a strong Data Architecture. Join this webinar to understand how to create […]
Data-Ed Webinar: Conceptual vs. Logical vs. Physical Data Modeling
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 […]
DAS Webinar: Why You Need Data Management – Getting Executive Buy-In
Download the slides here>> This webinar is sponsored by: About the Webinar Becoming a data-driven organization is an increasingly important goal for organizations across all industries. But while the need for analytics, business intelligence (BI), and artificial intelligence (AI) is often quickly apparent, the “back end” of Data Management is often a harder sell. […]
DAS Webinar: How Do Data Governance and Data Architecture Support Each Other?
Download the slides here>> About the Webinar The definition of Data Governance can vary, depending on the audience. To many, Data Governance consists of committees and stewardship roles. To others, it focuses on technical Data Management and controls. Holistic Data Governance combines both these aspects, and a robust Data Architecture can be the “glue” […]
DAS Webinar: Master Data Management – Aligning Data, Process, and Governance
Download the slides here>> 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 – from real-time operational integration […]
ADV Webinar: Competitive Analytic Architectures – Comparing the Data Mesh, Data Fabric, Data Lakehouse, and Data Cloud
Download the slides here>> This webinar is sponsored by: About the Webinar In this webinar, we’ll look at some Data Architecture practices that have emerged in the past few years and are being consciously worked into many enterprise data programs. These are keepers and it will be required that we move towards them, so […]
DAS Webinar: Data Mesh or Data Mess? Separating Reality from Hype
Download the slides here>> This webinar is sponsored by: and About the Webinar Discussions around data mesh and data fabric are ubiquitous in the data industry, and data mesh is often touted as the next “Big Thing”? Are these promises well founded? How does a data mesh approach fit into today’s modern Data Architecture, […]
Denodo Demo: Future-proof Data Management Through Logical Architectures: Data Fabric and Data Mesh
Download the slides here>> Data fabric and data mesh are two concepts frequently mentioned in conversations surrounding enterprise data management. Over the past two decades, enterprises have managed data by oscillating through cycles of centralization and decentralization. Despite the abundance of options, the conundrum remains — businesses want data to be in one place, […]
Innovative Systems Demo: Unlock the Full Potential of Your CRM by Improving Data Quality
Download the slides here>> To realize the benefits of better customer service, increased sales, and improved customer retention that CRM systems can provide, companies must work with data that is free from duplicates, misplaced information, and formatting errors. Poor quality data leads to incorrect conclusions, misinformed decision making, and unhappy customers, yet many companies […]