Every organization faces unique challenges in becoming data-and analytics-driven with its people, business processes, innovation, and competitive market. So why would an off-the-shelf, one-size-fits-all modern data architecture trend be the answer? It's not. This single plan addresses those challenges and helps you create the modern data architecture your organization needs, align it with its current business strategy, and incrementally unlock scalable business value. We follow a four-step process that translates business goals, leverages an analytics capabilities framework, and applies modern data architecture principles for a logical data architecture that allows for prioritization, planning, and developing people's proficiency. Next, we determine which architecture trends and modern data stacks can deliver data management and analytics capabilities most effectively in your organization. Data leaders and architects with this knowledge can demystify and communicate how emerging technologies and architecture trends from cloud-native to data mesh and data fabrics matter in your organization.

Knowledge graphs are a valuable tool that organizations can use to manage the vast amounts of data they collect, store, and analyze. Enterprise knowledge graphs’ representation of an organization’s content and data creates a model that integrates structured and unstructured data. Knowledge graphs have semantic and intelligent qualities to make them “smart.” Attend this workshop to learn what a knowledge graph is, how it is implemented, and how it can be used to increase the value of your data. This is a very interactive workshop, so be prepared to learn about knowledge graphs and actually build one.

An introduction, overview, and update for professionals who interact with data privacy functions and want to understand privacy and data security better. Explore the regulatory environment and the ways in which businesses are responding (and failing to respond). Consider why privacy is important and what's changed to make it even more relevant today. How have evolving tech and consumer preferences affected information practices and data security? Learn simple models to harden yourself and your coworkers to privacy and security threats. Join privacy professional Jockisch in this interactive workshop to understand how to better protect the sensitive data in your business.

In an information economy, data is the currency of business. Digital upstarts are disrupting every industry, making it imperative that organizations have a strong data strategy that turns data into insights and profitable activity. Organizations need data to streamline operations and reduce costs, to improve decisions and plans, and to grow revenues and profits. A data strategy is an enterprise-wide plan to harness data and analytics to achieve business goals. At a high level, it is a blueprint for creating a data-driven organization; at a low level, it is a set of blueprints for designing a data architecture to acquire, transform, and deliver data to business users and applications. Eckerson explains the keys to developing an actionable data strategy, how to build an executable roadmap, and creating a data strategy that aligns with business needs, based on an organization’s unique circumstances, culture, and data maturity.