Key Discussion Points from Forrester Webinar: Agile Portfolio Management Requires Rapid Transparency

Application portfolio analysis was at the center of discussion as Forrester Research Vice President and Principal Analyst, Margo Visitacion, presented how Agile development is affecting the application development process and IT’s portfolio planning. Ms. Visitacion explained that in the “Age of the customer,” they want more for less and expect companies to fluidly change based on their needs and demands. As companies shift their attention to customers’ experiences rather than production figures, it’s leading directly to higher revenue and a longer-lasting relationships.
So how do organizations remain agile to customer needs? They employ an Agile portfolio management process that collects metrics while aligning with the budgeting process; understanding that requirements will change. Using this strategy, companies gain clear visibility into their portfolio to measure risk, cost and complexity based upon objective measurements. The data collected during development enables them to defend current positioning and communicate more effectively with the business.
Here are some recent thought provoking questions, along with supporting answers, which we received during the Forrester webinar:

Software Quality and Developer Productivity: Together Improve Efficiency

Software Quality and Developer Productivity took center stage last week during a software development and productivity event hosted by Leda and CAST.  Findings from two studies showed that application benchmarking is essential to measure software quality and development team productivity.
Merino, CAST’s Solutions Designer explained that, “It is necessary to understand the state of applications, and to base your strategy on that data. In addition, measurement, to be effective, accurate and accepted by others, must be based on standards.” Merino further explained how software measurement and analysis has different objectives, the primary purpose is to make better decisions based on real data; decision that help increase revenues or reduce costs.