SMU SAS Enterprise Intelligence Lab
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1 SMU SAS Enterprise Intelligence Lab 6 th May 2008
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4 A Strategic Collaboration Objectives of SMU - SAS collaboration: SMU SAS Enterprise Intelligence Lab To increase the awareness & literacy in Business Intelligence & Analytics To Develop & expand bandwidth for Business Intelligence & Analytics skill-sets To promote Singapore as a hub for Business Intelligence & Analytics.
5 A Strategic Partnership SAS & SMU jointly setup the SMU - SAS Enterprise Intelligence Lab (SEIL) SMU students & lecturers able to carryout research & projects utilizing state-of-art Business Intelligence & Analytics technology available in SEIL SAS is working closely with SMU to developing: Faculty Research Program Undergraduate & Graduate Program Executive & Professional Program Industry Program Scholarships (Undergraduate & Master Students) SMU SAS Enterprise Intelligence Lab
6 The SEIL is Powered By
7 SAS Data Integration
8 SAS Data Integration A Universal Solution Visual design environment Graphic & intuitive Data Integration environment Supporting every Data Integration Initiatives From Master Data Management to ERP Consolidation All required Capabilities From Data Quality to Data Synchronization Full range of Services From GRID to Data Lineage Enterprise Connectivity From ERP to XML Enterprise Governance Integrated Metadata
9 SAS Intelligence Storage
10 SAS Intelligence Storage Desktop Layer Analytic Model Development Power User Programming + Testing Wide tables with many attributes Historical data, no transactions Fast query performance and simple Data-Mart Layer Data Integration Same characteristics as EDW but Application or business-topic specific Highly Aggregated in most cases Fast and reliable query performance EDW Layer Data Integration Historical data, no transactions Fast data loading and index refresh Handle massive growth over time Single view on all enterprise data ODS Layer Operational Application Layer Data Integration Run operational applications Concurrent updates Millions of transactions No historical data
11 SAS Intelligence Storage Desktop Layer Data-Mart Layer EDW Layer ODS Layer Operational Application Layer Analytic Model Development Power User Programming + Testing SAS Intelligence Data Integration Storage Data Integration Data Integration Wide tables with many attributes Historical data, no transactions Fast query performance and simple Same characteristics as EDW but Application or business-topic specific Highly Aggregated in most cases Fast and reliable query performance Historical data, no transactions Fast data loading and index refresh Handle massive growth over time Single view on all enterprise data Run operational applications Concurrent updates Millions of transactions No historical data
12 SAS Business Intelligence
13 Comprehensive Visualization Capabilities One integrated solution Portal & Dashboards Web-based report viewing Web-based advanced data exploration Microsoft Integration Web-based report building Self-service query & analysis Guided analysis Complete set of capabilities...
14 SAS Analytics Intelligence
15 Business Optimization Statistical Analysis Data Mining Text Mining Forecasting Predictive Analytics Optimization.
16 Basic Data Analysis & Reporting What actions are needed? Where exactly is the problem? How many, how often, where? What happened?
17 Intelligence Through Analytics What s the best that can happen? What will happen next? What if these trends continue? Why is this happening? What actions are needed? Where exactly is the problem? How many, how often, where? What happened?
18 The Benefits.. SMU students & lecturers will be able to use SAS best-in-class Business Intelligence & Analytics technology for projects & research Real world scenarios, best practices & technologies in dealing with the ever dynamic domain of Business Intelligence & Analytics Supporting Agencies and Organization will benefit from the Research, Projects, Executive & Industry programs A steady stream of well equipped Business Intelligence & Analytics skilled resources for Singapore market SAS scholarships offer for selected SMU students. SMU SAS Enterprise Intelligence Lab
19 Copyright 2008, 2006, SAS Institute Inc. All rights reserved.
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