Featured Topics
While TDWI conferences always cover the full spectrum of business intelligence and data warehousing, the conference in Chicago will also include courses throughout the week that broaden your knowledge, skill, and ability in the following areas:
Validating Your BI/DW Direction
Strengthen your understanding of business intelligence and data warehousing and validate that your project is on the right track. 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 courses that provide the building blocks that are key to understanding the rest of this dynamic field of information technology.
Business Analytics/Performance Management
Optimize business performance with the right analytics for your audience. In the field of BI, 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 you.
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 Asset Management (Quality, Governance, Master Data Management, 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.
Developing the Agile Business Intelligence Environment
The ability to be adaptable and agile in the
way we approach our BI/DW environments
is one of the keys to success and
profitability. Agile development carries a
specific set of standards and rules. These
courses cover agile development for data
warehousing and methods for becoming
more adaptive and agile in data models,
analytics, and organizations.