PPT-Metrics

Author : luanne-stotts | Published Date : 2016-05-16

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

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Metrics: Transcript

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. 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 . Govind Ramanathan. -. Marketing. Vision. Customer Impact. Innovations. Target Markets. Competitive Advantage. We communicate as a Product Manager. Customers. New Features. Feature Improvements. Performance. Nick Mattar. Director of Marketing. Detroit Regional Chamber. “The marketing of products or services using digital channels to reach consumers, including channels that do NOT require the use of the internet.”. 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 . 1. LESSON OUTCOME:. This lesson provides an overview of doctrinal responsibilities, philosophies, and objectives for . applying HR Metrics in they day to day operations. . At the conclusion of this block of instruction, students will be able to . 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. 1. LESSON OUTCOME:. This lesson provides an overview of doctrinal responsibilities, philosophies, and objectives for . applying HR Metrics in they day to day operations. . At the conclusion of this block of instruction, students will be able to . 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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