Session Number: 8706
Track: EPM Reporting, BI Analytics, and Data Visualization
Sub-Categorization: BI Analytics
Session Type: Best Practices
Primary Presenter: Francesco Tisiot [BI Tech Lead - Rittman Mead]
Time: Jun 24, 2019 (03:45 PM - 04:45 PM)
Room: 3B, Level 3
Speaker Bio: Francesco, an analytics enthusiast, is a BI tech lead at Rittman Mead. As an analyst, architect, and developer, he has built expertise in data integration and business analytics over the years. He also delivers Oracle trainings for Rittman Mead. Francesco stays involved in the Oracle Analytics community by providing support on ODC forums; blogging on the Rittman Mead website; speaking at various conferences, including the BIWA summit, ODTUG Kscope, and European OUGs; and being part of various Oracle beta programs. Francesco is also a board member of the Italian Oracle User Group.
Fields of expertise: Dimensional modeling, DevOps, ETL, business analytics, and ML
Technologies or Products Used: Oracle Analytics Cloud, Tableau
Session Summary for Attendees: In the beginning, there was the (Excel) chaos: multiple people having different methods to calculate a single KPI. Then centralized IT-driven analytical systems were introduced to provide the golden "unique source of truth" across the organization.
The evolution of IT-driven systems, however, was slow, with the time to KPI not affordable for business teams who started looking at a new wave of shiny self-service tools. The uncontrolled proliferation of self-service analytics brought the company back to chaos.
If you can picture yourself in the story above—then welcome, you are not alone! Join me on a trip to understand how to avoid the analytical chaos! We'll be discussing how various tools are approaching the problem and, based on various use cases, propose the best fitting solution.
Starting with data source definition and moving to data preparation and data replication, we'll touch on all the steps required to properly manage the data-to-KPI process. Moreover, we'll discuss how a unique platform like Oracle Analytics Cloud Enterprise Edition can support all the use cases in a connected, secured, and optimized way.