Agile Analytics in Higher Ed - Successes and Failures
Session Number: 30767
Track: Reporting and Business Intelligence
Sub-Categorization: BI tools- Other
Session Type: Vendor
Tags: Agile, Analytics, BI, Business Intelligence, Data Warehousing, Project Management, Reporting
Primary Presenter: Yiorgos Marathias [President - Phytorion, Inc]
Co-Presenter: Ashley Silverburg [Chief Data Architect - Phytorion, Inc]
Time: Mar 20, 2012 (01:15 PM - 02:15 PM)
Room: Hermitage E
Learning Objectives from Session: Gain insights into Agile principles as they apply to Higher Education Data Warehousing/Business Intelligence
Compare different Data Warehouse/Business Intelligence implementation methodologies
Version Presenting: N/A
Level of Customization: None or N/A
Level of Partner Integration: Select a Value
Project Phase: N/A
Project Go Live: N/A
Target Audience: All
Audience Level: General
Your Training in this Area:
Description: Traditional Data Warehouse and Business Intelligence implementations focus on process, strict adherence to project plan, and comprehensive documentation. For a project to be successful –according to this methodology – change has to be tightly controlled starting with the requirements-gathering phases, even though this is a time when the users may not be certain about what would work best for them.
Agile development, on the other hand, wants to introduce much greater flexibility to the process with the aim of making users happy with the system's features while greatly improving the chances of project success.
Over the last couple of years, we have been incorporating Agile techniques in our project methodology carefully taking into account the way colleges and universities work. In this session, we will review the approaches that have been effective and those that haven’t.