PPT-OLAP & DSS SUPPORT IN DATA WAREHOUSE

By Pooja Sinha Kaushalya Bakde Data Warehouse A data warehouse is a subjectoriented integrated timevariant and nonvolatile collection of data in support of managements decisionmaking processW H Inmon. OSU Business Affairs. Process Improvement Team (PIT). Robin Whitlock & Dan . Hough. 10/28/2014. Today’s Presentation. What do you have to do?. What is PCI DSS?. Who Needs to Comply with PCI DSS?. Bjarne Berg. Ph.D. Research Seminar . UNCC-Charlotte. 3/2/2007. 2. What We’ll Cover…. Introductions. Literature and Research Questions. Population Definitions & Sampling methods. Findings. The most important factors for OLTP and DSS outsourcing overall. Introduction. Inventory and warehouse management are closely related to the fulfillment and production processes. Warehouses often supply raw materials to manufacturing. Warehouses store and move finished and semi-finished goods. Pivot Tables. Concept Map. OLAP. Visualization. Pivot Table. Pivot Chart. Charts. BI. Objectives. Define . OLAP & Visualization. Demonstrate Excel’s Pivot Table features.. Segment A:. Visualization. Recap previous lesson. Define a decision support system. List the three classifications of a decision support system and give an example of each. Structured situation. Semi-structured situation. Unstructured situation. Dr. Nicholas Gibbins – . nmg@ecs.soton.ac.uk. 2012-2013. Processing Styles – OLTP. 2. On-Line Transaction Processing. Traditional workloads. ,. . ‘. bread . and . butter. ’. processing . Volumes of data. March 13, 2013. 2. Contents / Agenda . ConneCT . (Modernization of Client Service Delivery) . and . Health Insurance Exchange/Integrated Eligibility . Project (CT HIX/IEP). Health Information Exchange / Health Information Technology (HIE/HIT. PART I. IS524. BY. CHANDRA S. AMARAVADI. 2. IN THIS PRESENTATION... Introduction to MSS. Decisions & types of decisions. DSS. BI/EIS. Collaborative systems. Social networking. 3. INTRO TO MSS. Enterprise Data World 2016. SanDiego. , Ca – April 17-22, 2016. Luminita . Vollmer. luminita.vollmer@gmail.com. agenda. Intro. It’s 2016 – what’s new!. Use cases for data. Everyday pressures and big data. 1A Ward is a second administrative division in a District and falls under a ‘Division’ 2A village is the first administrative division of a ‘Ward’ 22.0 demographic characte Anders B. Nexoe. 1. , . Bartosz. Pilecki. 1. , Mathias Rathe. 2. , Steffen Husby. 2. , . Uffe. Holmskov. 1. , . Grith. L. Sorensen. 1. 1. Department of Cancer and Inflammation Research, Institute of Molecular Medicine, University of Southern Denmark, Odense, Denmark. . — Chapter 3 —. Data Warehouse and OLAP Technology: An Overview. 2. Chapter 3: Data Warehousing and OLAP Technology: An Overview. What is a data warehouse? . A multi-dimensional data model. Data warehouse architecture. Module Seven: . . Global Warehouse Operations. 1. Presentation Agenda. Warehouse operations defined. Strategic considerations for W.M.. Examples of Warehouse Operations. Fundamentals of Warehouse Operations. . subject-oriented. ,. integrated. , . time-variant. , . and . nonvolatile. . collection of data in support of management’s decision-making process.. A decision support database that is maintained .