PPT-EnerNOC Customer Data Presentation

July 13 2016 What Problem Needs to Get Solved Currently vendors need to install a pulse output on a utility meter in order to help CampI customer manage energy usage in near realtime The cost of this installation and ongoing maintenance and connectivity can be thousands of dollars per customer site making it cost prohibitive to work with smaller customers and the market less attractive for enduse customers and vendors. 4.09. Identify . SALES METHODOLOGIES . used . in . SEM. SALES METHODOLOGIES. F. ull sales process used to generate . revenue – the “how” of selling. ADVANTAGES. DISADVANTAGES. . Initial cost is fairly cheap. Synopticity. Data presentation. Living with earthquakes/hazard perception. Different impacts across the city and amongst different people. Relocating and rebuilding. Changing urban geography in CBD and suburbs. What you need to know. This presentation is part of the Art of connecting. . There . are four themes in total, each with their own customer presentation. This presentation is intended for use with customers. It provides an overview of our capabilities and the related services we offer. Mahmoud Elhefnawi. April 2013. Contents. 2- . Services process . Model. 3- Process . development. 6- . Services KPI- Small control . loop. 1- Quality Assurance organization chart. 7- . Audits . Procedure - large . 4.09. Identify . SALES METHODOLOGIES . used . in . SEM. SALES METHODOLOGIES. F. ull sales process used to generate . revenue – the “how” of selling. ADVANTAGES. DISADVANTAGES. . Initial cost is fairly cheap. Objective. Provide a . framework . that can be utilized as a tool for . the advancement of . standardized data presentation. Experimental Design. Instrumentation. Analysis. Presentation. Sample Procurement. Connecting the . Data-Driven. Enterprise. Data-Driven companies…. 23 times . greater . customer acquisition. 6 times . greater . customer retention. 19 times . more . profitability. Fast . Facts. Founded in . Sid Patel. Stanford Sustainable Systems . Lab. sidpatel@stanford.edu. Sam Borgeson. Convergence Data Analytics. sam@convergenceda.com. Problem statement. The grid has evolved without the benefit of a detailed understanding of . Team Mathletes: Luo Wang, Xiaoyi Yang, Tae Park, Junyi Yang. Agenda. Introduce Customer Lifetime Value. Potential Factors： . Birth Order . Self-employment . Single parent. Mortality Salience(MS). Conceptual Data Model. Data . Records. U.S. ARMY SOLDIER SUPPORT INSTITUTE. NONCOMMISSIONED OFFICER ACADEMY. Terminal Learning Objective. Action: . Produce Customer . Master Data . Record. . Conditions: . FM Leaders in a classroom environment working individually and as a member of a small group, using doctrinal and administrative publications, practical exercise, personal experience, handouts, and discussion.. Anne Ratcliffe. WW InfoSphere MDM. Sales Executive. Information Management. IBM Software Group. 2. Agenda. The Information Supply Chain . Master Data Management Overview. The IBM® InfoSphere™ MDM Portfolio. Big Data: Four Vs Salhuldin Alqarghuli What is Big Data ? Big data is any collection of data that is too big to be analyzed with conventional data management. The term big data remains difficult to understand because it means so many different things depending on who you are. Computer science 2. nd. Stage . College of Pharmacy. Hussein Alsheakh, Ph.D.. 1. Lecture Objectives. Students will be able to:. Summarizing data in different ways. Right graph and table for the right data and audience. Customer Data. Recap of the July 26, 2016 Meeting. Presentation material does not represent the views of the Joint Utilities Engagement Group as the group is still in discussion on these topics. Please do not redistribute this deck. .