September 2007 Movex User Association John Calvey European B.I. Manager NewellRubbermaid - www.newellco.comwww.newellco.com.

Slides:



Advertisements
Similar presentations
FAST Radar System Engineering Overview. FAST Radar Overview –What’s Required? IIS 6.0  With Microsoft.NET Framework 1.1 and SMTP for MS SQL Server.
Advertisements

Antonio Elinon Caratrel Consultants Pty Ltd. Agenda Enterprise Architecture (EA) to Business Intelligence (BI) to Accounting Intelligence (AI) Accounting.
Data Management Conference ETL In SQL Server 2008 Allan Mitchell London September 29th.
Business Rules and SharePoint Workflow with Master Data Services (MDS)
Jeremy Kashel BI 200 End to End Master Data Management With SQL Server Master Data Services (MDS)
Accelerated Access to BW Al Weedman Idea Integration.
Data Warehouse success depends on metadata
ATLAS 6.0 PRODUCT COMPARISONS Presented by Julian Tall & Stuart Dobson.
Business Intelligence System September 2013 BI.
1 Business Intelligence: Report Creation and Automation Using Business Objects Dylan Black University of Wisconsin – Platteville
Data Warehouse Components
MDS enables users to curate Sets of Objects. This capability is powerful in a wide variety of scenarios across all organization levels.
Master Data Services In SQL Server Denali Jeremy Kashel
Data Management Capabilities and Past Performance Dr. Srinivas Kankanahalli.
Copyright © 2006, SAS Institute Inc. All rights reserved. Data at its Best How to keep large data volumes in order and ensure high quality ? Milen Georgiev.
ETL By Dr. Gabriel.
FreightSupplyChain Trinity Business Solutions Limited International Freight Consolidators March 2001 Trinity Business Solutions Limited International Freight.
KPI Business Pack Christa Fine Sr. Product Manager, Information Delivery.
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.
SSIS Over DTS Sagayaraj Putti (139460). 5 September What is DTS?  Data Transformation Services (DTS)  DTS is a set of objects and utilities that.
BIG DATA OFF-SHORE SERVICES:. Off-Shore “Big Data” Center: Modern Facilities in Bangalore’s Central Business District 60,000 Sqft. Space  Capacity for.
Best Practices for Data Warehousing. 2 Agenda – Best Practices for DW-BI Best Practices in Data Modeling Best Practices in ETL Best Practices in Reporting.
DSP- Bringing BI to SharePoint.  DSP Portal Edition provides an easy-to-use framework that links information stored in data warehouses to corporate portals.
Dashboard & Scorecard Case Study. Introduction Hagemeyer Case Study – Background – Situation – Strategic CPM Vision – Solution – Benefits Assimil8 Overview.
GBA IT Project Management Final Project – “ FoodMart Corp - Making use of Business Intelligence” July 12, 2004 N.Khuda.
Xxxxxxxxxxxxx Name: xxxxxxxxxxxx ID: 2005HZxxxxxxx Organization: xxxxxxxxxxx Company Location: Bangalore.
Performance Management in Practice
Data: Migrating, Distributing and Audit Tracking Michelle Ayers, Advisory Solution Consultant
Getting synergies from rapid access to data
Pierre-Louis Usselmann, Ben Watt SOGETI Switzerland Master Data Services.
TECHNOLOGY DEMONSTRATION BUSINESS INTELLIGENCE -DATA WAREHOUSE -OLAP -DATA MINING / KNOWLEDGE MANAGEMENT ANALYTICS & MODELLING DIVISION NATIONAL INFORMATICS.
Business Intelligence Zamaneh Jahed. What is Business Intelligence? Business Intelligence (BI) is a broad category of applications and technologies for.
© 2007 by Prentice Hall 1 Introduction to databases.
© 2008 IBM Corporation ® IBM Cognos Business Viewpoint Miguel Garcia - Solutions Architect.
FORUM II Best Practices in Data Warehousing in Higher Education: A Framework for Higher Education Reporting April 18, 2005 Slide 1 Cornell University’s.
Introduction to SAP SAP University Alliances Author Stefan Weidner
Technology In Action Chapter 11 1 Databases and… Databases and their uses Database components Types of databases Database management systems Relational.
Peer to Peer | Greater Scale | More Voices | Faster AXUG Summit 2011 RPT07: Understanding PowerPivot Noah Kluge—PrecisionPoint Software.
Chapter 5 DATA WAREHOUSING Study Sections 5.2, 5.3, 5.5, Pages: & Snowflake schema.
1 Extending Drill Through to Oracle Transaction Level Detail from Hyperion Essbase.
Powering Network Rail with the Oracle Business Intelligence Platform
Rajesh Bhat Director, PLM Analytics Applications
Presenter : Ahmed M. Mosa User Group : SQLHero. Overview  Where is BI in market trend  Information Overload  Business View  BI Stages  BI Life Cycle.
Oracle’s EPM System and Strategy
Data Warehousing 101 Howard Sherman Director – Business Intelligence xwave.
Deploying BI to the Enterprise Toronto Area Users Group Sept Tim Quigg inbusiness solutions.
BI Reporting Tools Kalyn Kelly June 10, BI – Business Intelligence  A set of theories, methodologies, architectures, and technologies that transform.
Business Intelligence Environment Integration with Dynamics NAV Rogers Family Company Matthew McGinley Devraj Ghosh Dominic Miller.
SAP NetWeaver Business Intelligence SAP Netweaver Business Warehouse (SAP NetWeaver BW) the name of the Business Intelligence,
11 Database The ultimate in data organization. 2 Database Management Systems (DBMS)  Application software designed to capture and analyze data  Four.
Data Management Capabilities and Past Performance
Once Upon a Time: The Story of a Successful BI Implementation
Data Platform and Analytics Foundational Training
Business Intelligence & Data Warehousing
Product Manager SAP Integration
Chapter 7: Business Intelligence Tools and Vendors
LS BI Jóhann Einarsson Solution lead LS BI
Presented by Jet Reports
Master Data Management with SQL Server 2016 Master Data Services
How EMI Music Implemented Master Data Services with Adatis
Hawkeye Security – Prophix story
Data warehouse.
Data Warehouse.
What is CRM ? Customer Relationship Management (CRM) systems offer tools to efficiently manage the sales and marketing functions of the organization.
Data Warehousing Concepts
EiB Analytics 2018 Excel in Business.
IOA is a fully Integrated Accounting Solution
David Gilmore & Richard Blevins Senior Consultants April 17th, 2012
Implementing ETL solution for Incremental Data Load in Microsoft SQL Server Ganesh Lohani SR. Data Analyst Lockheed Martin
Presentation transcript:

September 2007 Movex User Association John Calvey European B.I. Manager NewellRubbermaid -

2 Project Background » Company OverviewNewellRubbermaid » Business Requirement » Identify Issues » Possible Options » Chosen Solution » Current Status and Future Plan

3 The Company ▪ Fortune 500 Company ▪ European Headquarters in Paris ▪ European Data Centre Located in Sunderland ▪ Systems – Movex Installed Since 1999 – Demand Solutions (Forecasting) – PKMS Warehouse Management – Hyperion – Financial Budgeting – TM1 – Financial Budgeting ▪ Cognos Used for BI Reporting – Web based 1200 users – 400+ Powerplay Cubes – 1000 Impromptu Reports

4 Business Requirement » Company Re-Organisation ▪ From Four Business Units – RCP – GRACO – Sanford – Irwin Tools ▪ To a Single Reporting Structure » What Does That Mean? ▪ Each split into a number of Divisions ▪ Reporting – Each with their own store of data & Reporting Requirements – Cognos Cubes and Reports built in the overnight window

5 Current Architecture Sanford DataWarehouse Data Point to Powerplay Cubes RCP & Graco Exchange (External data) iSeries (DB2) Microsoft SQL Server DTS Extracts NOMAX Replication Data Point to Impromptu Reports and Powerplay Cubes (Sanford) Irwin Tools DataWarehouse Data Point to Impromptu Reports and Powerplay Cubes (Irwin Tools) Wintel (SQL) P2 BI Staging P1 Movex ERP System Data Point to Impromptu Transactional Reports Data Point to Impromptu Transactional Reports. Sanford, RCP. Graco & Irwin Sarbanes-Oxley DataWarehouse Data Point to Impromptu Business Level Reports (Sarbanes)

6 Business Requirement - Implications » Issues -1.Data & Process Harmonisation ▪ Use of Master Data, Customer Numbering etc ▪ Product Hierarchies ▪ Customer Hierarchies ▪ Supplier Harmonisation complete ▪ Process Change ▪ External (non Movex) Data to be captured » Solution Internal Resource ▪ Business Knowledge ▪ Movex Knowledge

7 Business Requirement - Implications » Issues -2.Reporting ▪ New Powerplay Cubes  Larger Data Volumes » 500k Customer Records » 450k Item Master Records » OSBSTD 150 Million Records  Larger Cubes / More Variations  Greater Build Times (Same Overnight Window Available) ▪ New Reports  Historical and Real Time Reporting Requirements ▪ External Data (non Movex) ▪ Business Logic – In One Place

8 Proposed Architecture Enterprise Environment Exchange (External data) Data Point to Impromptu Business Level Reports Data Point to Powerplay Cubes Staging Environment Wintel DataWarehouse Environment Movex ERP System Data Point to Impromptu Transactional Reports Data Views (DataMarts) Data Push (Changes ) Staging linked to ERP / Source SystemsEnterprise & Data Marts Independent of ERP / Source System Other Data Sources

9 Proposed Solutions for Architecture » Have to Change ▪ Combining the Extracts, the Overnight Window – Too Small ▪ Cubes Build Time – will increase ▪ Available Time For Data Extract – will decrease ▪ Re-handling Data – Time – Bandwidth » Options ▪ Part Data Extracts / Full Weekly Extracts ▪ Build Cubes Weekly, Incremental Builds ▪ ETL Tool

10 Solution » Vision Software- Integrator ▪ Reasons – Software  iSeries and SQL Server  Identify Changes  Data Transformation Capabilities  Daisy Chain (iSeries >>> SQL Staging >>> SQL Enterprise)  Monitoring – Company  iSeries knowledge  Previous work – Prototype Test  Project Plan  Vision installed software / basic training  Ran for 4 weeks  Contact with Vision support during this time – excellent (and since!) ▪ Additional Benefits Identified – Reduced Development and Maintenance Time – Reduced Errors – Standardisation  Single Data View  Business Process Rules held once – Date and Time Stamp on Records

11 Current Status » Software ▪ Live Version Installed » Replication Status ▪ 25 tables replicating Movex to Staging ▪ 5 tables to Enterprise » Plan – 60 tables – 30 Master Tables – 30 Transaction Tables – Business Logic being applied to Enterprise – “Use of Data” – transaction date / time information