Submitted Conference Content
|Nom(s) et Prénom(s)|
Amoli Upadhye & Himanshu Joshi
|email||hizzac [at] gmail [dot] com|
|Entreprise/Organisation||Tata Consultancy Services|
|Type de conférence||Conference > 100 attendees|
In God we trust, all others bring data - Agile Performance Metrics
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Amoli Upadhye has been serving TCS for the past 7 years and has been an agilist since the last 4 years. During her total experience of 7 years, she has worked on IT projects that were executed using Waterfall, RUP and Agile(Scrum) models. She is continuing to enjoy her current role of a Product Owner / Business Analyst as she gets to see IT (and software requirements, in particular) from business sponsors’ lens. Her activities have primarily included requirements gathering, elicitation and communication between the sponsors and development teams. She loves to develop my problem solving and analytical ability skills, among other things, while working with development teams and sponsor communities. For example, negotiating a requirement due technical limitations with sponsors or conveying critical (or worst, changed) business priorities back to development teams.
Himanshu Joshi has been an agile practitioner for over two years and he has been the part of software development industry for more than 6 years. He has an experience working with different levels of organization varying from a start-up culture to an enterprise culture in varied roles. He is a project leader with Tata Consultancy Services and is also working closely with an agile passionate team as a Ruby developer in the organization. He is involved in ensuring quality of software development life cycle within the organization and believes in using agile with measurable quality.
Measuring performance of an agile project requires reliable data and consistent, yet simple, form of project reporting. It becomes critical to measure performance of agile projects, as the focus in agile is on producing working software and teams don’t have enough bandwidth to concentrate on performance measurement. Agile teams normally would prefer using the data that is already available or produced as a by-product of the project execution.
While data interpretation is easier at primary project level, it becomes complex when multiple project teams/portfolios come into picture at enterprise level. This is because data required to measure a project may be insufficient if you have to compare project performance at organizational level.
As agilists, we would like to share ways of collecting data at project level and generating different metrics that would be relevant to project performance at various levels in an enterprise.
Basic understanding of Agile
Bénéfices pour les participants
1. Enable managers to compare different projects at an organizational level.
2. Enable agile teams measure project performance.
3. Help agile teams grow based on metrics.
Soumis par ppetit le lun, 06/13/2011 - 02:02