Course Agenda
No Lessons found for: Micro:Managing Technical DebtScott Ambler, teaches how-to address technical debt with agility in a 1 hour video lesson
In this presentation, Scott discusses how Disciplined Agile Delivery can help reduce and manage technical debt, specifically data technical debt. Data technical debt can be a hindrance to an organization’s effective information utilization, increase operational costs and impede reaction to environmental changes. This presentation defines data technical debt and its importance, describes the types of data technical debt, and how to measure them. The main focus is on using Disciplined Agile strategies to avoid, remove, and accept data technical debt. The presentation emphasizes the significance of clean data for organizational health and efficiency.
Technical debt can be a significant issue that impedes their ability to make informed decisions, increases operational costs, and affects their ability to adapt to changes in the market. Scott’s presentation offers insights into the various types of data technical debt and strategies for managing and reducing it using Disciplined Agile Delivery. By implementing these strategies, businesses can improve their data quality, reduce operational costs, and make more informed decisions, ultimately leading to better outcomes and increased competitiveness in the market.
Nols Ebersohn (Authorized Instructor) teaches how-to manage technical debt in a 1 hour video lesson.
Slides are available for download after purchase.
Nols discusses effective management of technical debt in the business intelligence organization. Business intelligence relies on information as a valuable asset, but organizations may face significant challenges with technical debt that could lead to costly investment failures. Many data warehouses only last for 3-5 years on average, and organizations need to find ways to prevent this and deal with the organizational technical debt effectively. This presentation explores ways to quantify, manage, and remediate these challenges, emphasizing the importance of managing technical debt like real assets rather than fictitious assets. By effectively managing technical debt in the business intelligence organization, businesses can prevent costly investment failures and ensure long-term success.
