Spring is a conferences’ season and the upcoming one is no exception. I will be speaking at PASS Business Analytics Conference 2013, which will be the first event this year, so I’d like to spend a few words about my sessions.
PASS Business Analytics Conference 2013
April 10-12, 2013 | Chicago, IL – United States
This conference is targeted to Business Analytics professionals. Thus, I expect to meet both BI Developers, Excel Advanced Users, Data Analyst and, of course, the new Data Scientist role (if you have a business card with such a definition, please drop me one, so I can demonstrate to skeptic people that this figure actually exists!). I have two sessions:
- Modern Data Warehousing Strategy
- April 11th, 2013 – 1:30 pm – Chicago Ballroom VIII
Track: Strategy and Architecture
- The recent introduction of new technologies such as PowerPivot, the BI Semantic Model, and columnstore indexes in SQL Server and advances in self-service business intelligence and big data might be considered threats to the classic data warehouse ecosystem. In reality, a good data warehouse is still the best starting point for any kind of analysis, but we do need to update our strategy for data warehouse implementation to fit the requirements of this new era. This session will start the conversation about what a modern strategy for data warehousing can and should be. What type of data modeling should we use for the data warehouse? What is the role of data marts? Does the use of technologies such as PowerPivot or Analysis Services Tabular affect the way we should model our data? Do columnstore indexes remove the need for an analytical server like Analysis Services? We will discuss these and other questions, offering an updated approach to the data warehouse modeling methodology.
- Self-Service Data Modeling
- April 12th, 2013 – 1:30 pm – Sheraton Ballroom I & II
Track: Data Analytics and Visualization
Self-service business intelligence looks promising, empowering information workers to grab amazing insights from data. But are Excel 2013 and DAX language knowledge enough to analyze data? The answer in most cases is no – information workers will also need an ability to properly model their data and the skill to use some new tools to reshape data in the correct way. In this session, we will analyze some common problem scenarios where data analysis is difficult due to the shape of the model and see how to solve them.
In theory, I expect two different audiences at the two sessions, but I know that there will be people attending both, especially who provides tools to end users. I’d like to receive feedback about what you would expect to see in such sessions (regardless you will attend or not!), so that I check if I defined the correct expectations for the audience.
If you want to attend, register before March 15 in order to get a discounted price. You can also save $200 by using the code BAC228BL. See you in Chicago!