The WiSACWIS Data Warehouse Nov 2007 dWiSACWIS. dWiSACWIS What is a data warehouse? Why do we need a data warehouse? Warehouse proof of concept & technology.

Slides:



Advertisements
Similar presentations
Analyses for all areas of your business Analysis Suite by Taurus Software Analysis Suite by Taurus Software.
Advertisements

© 2014 Fair Isaac Corporation. Confidential. This presentation is provided for the recipient only and cannot be reproduced or shared without Fair Isaac.
1Key – Report Creation with DB2. DB2 Databases Create Domain for DB2 Test Demo.
Knowledge Management Applications Enterprise Architecture Seattle Children’s IS Structure Customer Service (Operations) (The Goal: “Information.
Data Warehousing M R BRAHMAM.
Best Practices Building a Data Warehouse Quickly October 16, 2009 | Florida Chapter Presented by Raphael Klebanov, WhereScape USA Copyright © 2009 by.
Information Integration. Modes of Information Integration Applications involved more than one database source Three different modes –Federated Databases.
Data Warehouse/Data Mart Components Concepts Characteristics.
Data Warehousing - 3 ISYS 650. Snowflake Schema one or more dimension tables do not join directly to the fact table but must join through other dimension.
Business Intelligence System September 2013 BI.
Chapter 8: Development of Business Intelligence
Dana C. Voss Manager, Decision Support Services, UIS University Information Technology Services INDIANA UNIVERSITY May 2003 Copyright Dana C. Voss, 2003.
Data Warehouse Toolkit Introduction. Data Warehouse Bill Inmon's paradigm: Data warehouse is one part of the overall business intelligence system. An.
Data Warehousing: Defined and Its Applications Pete Johnson April 2002.
Data Management Capabilities and Past Performance Dr. Srinivas Kankanahalli.
Jeremy Brinkman Director of Administrative Systems University of Northwestern Ohio Great Lakes Users’ Group Conference August 10-11,
Customer Relationship Management Wagner & Zubey 11 Copyright (c) 2006 Prentice-Hall. All rights reserved. Copyright 2007 Thomson Publishing: All Rights.
By N.Gopinath AP/CSE. Why a Data Warehouse Application – Business Perspectives  There are several reasons why organizations consider Data Warehousing.
ReportNet and SAP-BW Implementation at Mold-Masters Val Swift IT Manager.
C A S E S T U D I E S—S T R A T E G I E S F O R S U C C E S S November 7 - 9, 2002.
DATA WAREHOUSING IN SQL SERVER 2005/2008 BUSINESS INTELLIGENCE.
CIS 429—Chapter 8 Accessing Organizational Information—Data Warehouse.
SharePoint 2010 Business Intelligence Module 2: Business Intelligence.
Child Welfare Data Warehousing: Making Your Information Accessible Jody Medeke, Business Intelligence Section Chief Robert Salas, dWiSACWIS Project Manager.
Database Systems – Data Warehousing
Copyright © 2003, SAS Institute Inc. All rights reserved. Company confidential - for internal use only 1 Know Your Customers SAS® Banking Intelligence.
©2013 Bill Rudman, AHIMA Foundation David Westfall, AHIMA Proposal for OHT – Virtual Lab (VLAB)
Improving Performance Through Integrated Analytics (iAnalytics) Lori Watson Principal Consultant IBM Business Consulting Services October 29, 2002.
Data Warehousing at STC MSIS 2007 Geneva, May 8-10, 2007 Karen Doherty Director General Informatics Branch Statistics Canada.
IMS 6217: Data Warehousing / Business Intelligence Part 3 1 Dr. Lawrence West, Management Dept., University of Central Florida Analysis.
Organizational Memory: Issues in Design & Implementation Sree Nilakanta May 1, 2000.
The Business Intelligence Side of Blue Mountain RAM Bill Lucas, IT Systems Architect and Senior Software Engineer.
What is Oracle Hyperion Planning  Centralized, web- based Budgeting and Planning application  Combines Operational and Financial measures to improve.
Cube Intro. Decision Making Effective decision making Goal: Choice that moves an organization closer to an agreed-on set of goals in a timely manner Goal:
© 2005 Prentice Hall, Decision Support Systems and Intelligent Systems, 7th Edition, Turban, Aronson, and Liang 5-1 Chapter 5 Business Intelligence: Data.
Montgomery County, Maryland DTS CMMI Approach & Implementation Mike Knuppel 03/20/2006.
MA Educational Data Warehouse Project MADOE and School District Collaboration Maureen Chew MADOE MA Digital Govt Summit 12/11/2007.
Managing Knowledge in Business Intelligence Systems Dr. Jan Mrazek.
ADFG Commercial Fisheries Data Warehouse and Business Intelligence Project.
Data Administration Data Warehouse Implementation 9/25/01.
State of Wisconsin Department of Revenue Data Warehouse Presentation August 16, 2000.
CISB594 – Business Intelligence
Datawarehouse A sneak preview. 2 Data Warehouse Approach An old idea with a new interest: Cheap Computing Power Special Purpose Hardware New Data Structures.
6.1 © 2010 by Prentice Hall 6 Chapter Foundations of Business Intelligence: Databases and Information Management.
Implementing Sakai at Your Institution. 2 Small-scale Sakai at Boston University.
CISB594 – Business Intelligence Data Warehousing Part I.
1 Microsoft Project Solution Offerings and the next chapter of EPM September 17th, 2003 Brendan Giles, PMP Systemgroup Management Services.
CISB594 – Business Intelligence Data Warehousing Part I.
Chapter 5 DATA WAREHOUSING Study Sections 5.2, 5.3, 5.5, Pages: & Snowflake schema.
CISB594 – Business Intelligence Data Warehousing Part I.
You Spend a Fortune on IT! How to use your Centricity Data as a Competitive Weapon! Mona Reimers, FACMPE, CPC.
Best Practices for Implementing
BusinessObjects What’s New Acquisitions & XI Release 2 Migration Issues.
CISB594 – Business Intelligence Data Warehousing Part I.
Advanced Database Concepts
1 Why a SIS, B. Loison/dp, Eidgenössisches Departement des Innern EDI Bundesamt für Statistik BFS Why a Integrated Statistical Information System.
Chapter 3 : Designing a Consolidation Strategy MCITP Administrator: Microsoft SQL Server 2005 Database Server Infrastructure Design Study Guide (70-443)
Data Warehouse A place the information system department puts the data that is turned into information. Data must be properly prepared,organized,and presented.
Deploying BI to the Enterprise Toronto Area Users Group Sept Tim Quigg inbusiness solutions.
DO YOU TRUST YOUR DATA? KNOW THE ANSWER WITH EIM! Jose Hernandez Director, Business Intelligence Dunn Solutions Group.
REPORTING AT THE UNIVERSITY OF CHICAGO AUGUST 20, 2010.
نمايندگي استان يزد. نمايندگي استان يزد طراحی کسب و کار الکترونیکی ارائه کننده : محسن افسر قره باغ.
Data Management Capabilities and Past Performance
Selecting the Best BI Tool
Advanced Applied IT for Business 2
Defining Data Warehouse Concepts and Terminology
Defining Data Warehouse Concepts and Terminology
Data Warehouse A place the information system department puts the data that is turned into information. Data must be properly prepared,organized,and presented.
MAM/FAMM Demo 4/7/2019.
Implementing a Distributed Enterprise Architecture to Deliver BI
Presentation transcript:

The WiSACWIS Data Warehouse Nov 2007 dWiSACWIS

dWiSACWIS What is a data warehouse? Why do we need a data warehouse? Warehouse proof of concept & technology eWiSACWIS  eWReports  dWiSACWIS dWiSACWIS - Phases 1 & 2 Future phases Demo

What is a data warehouse? Database different and distinct from operational databases Data is organized and summarized for analysis and decision making not daily workflows One version of the truth  Trust –Data is scrubbed and cleaned –Extract/Transform & Load (ETL)

What is a data warehouse? Easy to use tools for query and analysis Drag’n’Drop Point’n’Click Charts’n’Graphs Slice’n’Dice No programming or SQL Metadata - Data about data ?What is this ?Where did it come from ?How did it get here ?Business focus rather than technical

What is a data warehouse? DB A DB B DB C ETL Data Mart Z Data Mart Y Data Mart X Data Mart X Data Mart X Query? Reports Data Warehouse

Why do we need a data warehouse? eWReports Today… –Resource Hungry Programming – Ad Hoc – Change –Inflexible Yet another column of numbers Show me the detail What-if? –Difficult to compare over time –Worker is passive recipient

Why do we need a data warehouse? dWiSACWIS Tomorrow … –Support program area decision making State Central Office County –Flexible View from 30,000 ft  Child/Case detail Graph-to-Table-to-Chart –Worker is engaged participant

Proof of Concept & Technology Proof of concept –Oct-Nov 06 Technology –Business Objects ™ Among market leaders in Business Intelligence software –Bumper-to-Bumper warehouse solution ETL - Data Integrator ™ Data repository and services Query & report tools –InfoView ™ & WebIntelligence ™ –Crystal Reports ™

eW  eWR  dW eWiSACWIS eWReports dWiSACWIS Migrate eWReports CPS Placement Fiscal Adoption

dWiSACWIS – Phase 1 Placement – Out of Home Care Short Duration –Production Deployment Jun –State Central Office staff –Technical Infrastructure –Training –Lessons learned for phases 2+

dWiSACWIS – Phase 2 Adoptions –Production Deployment - Jan 2008 –Central Office –Adoption Regions –BMCW Adoption Staff

dWiSACWIS – Future Phases Identify key business data marts –Fiscal –CPS Migrate eWReports County pilot Statewide rollout

Questions