PPT-Value for money – Metrics / practicalities
Author : stefany-barnette | Published Date : 2016-05-27
Mark Stuart 28 March 2012 VFM catch phrases Achieving our business plan objectives in the most cost effective way Doing the right things in the right way for the
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Value for money – Metrics / practicalities: Transcript
Mark Stuart 28 March 2012 VFM catch phrases Achieving our business plan objectives in the most cost effective way Doing the right things in the right way for the right price VFM exercise. Postgraduate practicalities ApplicationsPostgraduate Applications Centre (PAC) www.nuigalway.ie/pacTakes only 10 minsApply early / on timeComplete applications reviewed firstUse all your ( Survey . Results. With help from Marty . Klubeck. at Notre Dame and Brenda . Osuna. at USC. Who are we?. Brown. Carnegie Mellon. Columbia . Cornell . CU. -Boulder . Duke . University . Georgetown . Project and Process Metrics. Why do we measure?. Assessing project status. Allows us to track risks. Before they go critical. Adjust workflow. See if the team can control the quality of artifacts. Example metric. Postgraduate practicalities. – . Application advice. – . Funding. [We’ll put these talks online: . www.nuigalway.ie/postgraduate-open-day. ]. Valerie Leahy, Marketing and Communications Office. Govind Ramanathan. -. Marketing. Vision. Customer Impact. Innovations. Target Markets. Competitive Advantage. We communicate as a Product Manager. Customers. New Features. Feature Improvements. Performance. Don McGreal. don.mcgreal@improvingenterprises.com. @. donmcgreal. . linkedin.com. /in/. donmcgreal. Agenda. Types of Metrics. Problems with Metrics. Metrics in Software Development. Evidence-Based Management. Survey . Results. With help from Marty . Klubeck. at Notre Dame and Brenda . Osuna. at USC. Who are we?. Brown. Carnegie Mellon. Columbia . Cornell . CU. -Boulder . Duke . University . Georgetown . Model . Metrics . and Reporting Sub-team. 1 August 2014. Why a metrics program?. Goals of a metrics program. Types of metrics. Further analytics on metrics. Metrics program design. Metrics program implementation. Julia Wester. SOFTWARE. QUALITY. CONFERENCE. PACIFIC NW. @everydaykanban. A bit about me…. @everydaykanban. Why do we gather metrics?. Three types . of . business . analytics. @everydaykanban. What you . 1. Introduction. Helene Astier. Quality Assurance Manager. About the Presenter. Background. From Nice, . France . Moved . to the . U.S. . in . 1999, age 19. Education. Florida Institute of Technology. Performance Metrics for Graph Mining Tasks 1 Outline Introduction to Performance Metrics Supervised Learning Performance Metrics Unsupervised Learning Performance Metrics Optimizing Metrics Statistical Significance Techniques By. Mr. T. M. Jaya Krishna. . M.Tech. DESIGN ENGINEERING. Design within the context of software engineering. s/w. . design. sits at technical kernel = s/w engg. & - - applied regardless = s/w process model i.e. used. x Bamshad Mobasher. DePaul . University. Web Usage Mining & . E-Business Analytics. 2. The primary goal of e-business analytics is to understand and be able to predict the behavior of online customers.
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