Prerequisite: None
Technology advances are changing the economics of information management and creating new ways to deal with old problems. Advances in hardware and software are reinventing BI and data management, allowing us to alter the economics and approaches for deploying information and insights to end users.
As BI and analytics groups mature, we find ourselves unable to keep up with growing demand and changing business needs. To avoid creating electronic concrete and locking ourselves into a fixed model, we need to challenge beliefs about best practices for data delivery, design, and management. This full-day session is organized around three core challenges faced by most BI/DW teams:
The management of data growth. Increasing data volumes from new and existing sources put stress on the infrastructure in many ways. The issue is not just query performance; we must also process larger data volumes, deliver lower data latency, and manage increasingly complex queries.
The expectation of faster delivery. Everyone in IT, including the BI team, is being asked to do more with less and to do it faster. At the same time, organizations need new capabilities, want new information, and ask for new projects to be completed faster.
Getting more value from existing data. Most data is used for basic monitoring, drill-down, and reporting purposes, leaving a lot of value behind. There is a growing awareness among business leaders that technical improvements have led to an explosion of new capabilities, and the BI group is the natural focal point for those requests.
You Will Learn
- About new technologies and emerging practices to address new challenges and requirements
- Aspects of new analytic databases and how they can be deployed
- Advanced analytical tools and techniques and how to support them
- Options for addressing growth and performance problems
Geared To
- Architects and designers who want to learn about options to improve the responsiveness of their BI group and deliver new analytic capabilities