Featured Topics
While TDWI conferences always cover the full spectrum of business intelligence and data warehousing, the conference in Washington, D.C. will also include courses throughout the week that broaden your knowledge, skill, and ability in the following areas:
Business Analytics / Performance Management
Optimize business performance with the right analytics for your audience. In the field of business intelligence, understanding how people perceive and process information is a must. This conference delivers a series of courses on analytics, dashboards, visualization, metrics, and predictive analytics. Bring this knowledge back to your organization and make analytics work for your organization.
BI Essentials
Strengthen your understanding of business intelligence (BI) and data warehousing (DW). These courses are designed to take you from basic BI/DW concepts and principles to expanded essentials such as data modeling and metrics. New and returning students will find that these courses provide the building blocks that are the keys to understanding the rest of this dynamic field of information technology.
Data Modeling
Data that is organized and optimally stored in the warehouse needs thoughtful design to fulfill business needs. Business analysts taking these courses will be better prepared to work with their technical counterparts, and developers taking these courses will be able to ask the right questions to determine how to design and implement the best data structures. This conference offers an in-depth look at dimensional modeling.
Data Management—Quality, Governance, Master Data Management (MDM), Integration
Complex business environments, increasing demand for high-quality data, and critical dependencies of regulatory compliance are among the reasons that MDM captures the attention of IT and business people alike. Your MDM strategy can achieve sought-after results if the initiative is under the umbrella of a true data governance program. Data governance encompasses enterprise management of availability, usability, integrity/quality, and security of data. High-quality data is needed to drive profitable business decisions. Dirty data has long been the Achilles’ heel of data warehousing. Learn how to model, improve quality, integrate, store, and govern this most precious asset.