PPT-The Business End of Data Modeling

Bob Lambert blambertcaptechconsultingcom boblambert12 October 30 2014 SQL Server Users Group Lynchburg Virginia Introductions Bob Lambert gt20 years in app dev data warehousing and project management. Girts Karnitis, Janis Bicevskis, . Jana . Cerina-Berzina. The work is supported by a European Social Fund Project . No. . 2009/0216/1DP/1.1.1.2.0/09 /APIA/VIAA/044. Problems of Business process modeling. Jean Mahseredjian. jeanm@polymtl.ca. Ecole Polytechnique de Montreal. 1. New IEEE Task Force. Co-chairmen: Jean Mahseredjian and Taku Noda. Portable Data and Modeling for Electromagnetic Transient Analysis programs. Joe Loftus, Adviser: Phil Ramsey PhD. Department of Mathematics and Statistics, University of New Hampshire. Introduction:. . . We live in a time of unprecedented data collection and storage across many industries. Every day businesses are collecting information about customers, their purchases, and their habits. The end goal in collecting all this data is to turn it into valuable insights to be applied in the business setting. But how exactly is raw data translated into applicable knowledge?. Man is a knot, a web, a mesh into which relationships are tied. Only those relationships matter. Saint-Exupéry. Data modeling. A technique for modeling data. A graphical representation of a database. BIT 5534: . Applied Business Analytics & Business Intelligence . Team 4: Michael . Cerney. , Chris . Kopinski. , and Chris Stewart. Agenda. 1. Business Problem. 2. Data Understanding. 3. Data Preparation. Dr. . Kalpakis. , Fall 2017. 1. What is Data Science?. Data scientists, ". The Sexiest Job of the 21st Century. " (Davenport and . Patil. , Harvard Business Review, 2012). M. uch . of the data science explosion is coming from the tech-world. Clayton Groom. Covenant Technology Partners. Intro. Clayton Groom. Founding Partner of CTP. cgroom@mailctp.com. Twitter: . cgroom. BI professional for 15 years. MCP. BI, MS Visual Technology Specialist (. Mail : raphaeljuwe@gmail.com Mobile : K2S4 8 PS7647272 GitHub: github.comOraphaeljuwe LinkedIn : ng. linkedin.comOinOraphaeljuwe Research Interests Sequential Pattern Mining and Knowledge Discovery Agenda. What BI ?. Past of BI. Why BI ?. How BI ?. OLAP. OLTP. Dashboards & Scorecards. Data Mining. What is . BI (Business Intelligence) ?. Organized, Analyzed Data. B.I. (Processes, Tools & Technologies). Sir Arthur Conan Doyle. Programmer productivity. In the 1970s, Codd laid out a plan for improving programmer productivity and accelerating systems development by improving the management and processing of data. Community Manager: Principiante a Experto (Marketing Digital) (Spanish Edition) It’s no secret that this world we live in can be pretty stressful sometimes. If you find yourself feeling out-of-sorts, pick up a book.According to a recent study, reading can significantly reduce stress levels. In as little as six minutes, you can reduce your stress levels by 68%. Expanding . Analytics . Offerings. Data, Analytics, and Statistics Instruction . DSI . 2016 . Austin, TX. Kellie Keeling. Department of Business Information & Analytics. University of . Denver (DU). Ina Markham, Susan Palocsay, & Scott Stevens. James Madison University. JMU is a large public university. Primarily undergraduate: 77 degree programs with ~20,000 students. #2 public school in the South .