ATUL PATANKAR [ ASUG INSTALLATION MEMBER MEMBER SINCE: 2000 LINDA WILSON [ ASUG INSTALLATION MEMBER MEMBER SINCE: 1999 JUERGEN LINDNER [ SAP POINT OF CONTACT.

Slides:



Advertisements
Similar presentations
Chapter 1 Business Driven Technology
Advertisements

Business Information Warehouse Business Information Warehouse.
Course name : SAP BO 24*7 technical support faculty : Realtime experience Rs Trainings: is a brand and providing quality online and offline trainings to.
C6 Databases.
Technical BI Project Lifecycle
OLAP Services Business Intelligence Solutions. Agenda Definition of OLAP Types of OLAP Definition of Cube Definition of DMR Differences between Cube and.
McGraw-Hill/Irwin © 2006 The McGraw-Hill Companies, Inc. All rights reserved. 8-1 BUSINESS DRIVEN TECHNOLOGY Chapter Eight: Viewing and Protecting Organizational.
307: BW Performance Tuning - Queries / Data Loads
Chapter 3 Database Management
Cognos 8.4 Upgrade Business Intelligence. Why Cognos 8.4 Increased Performance on Database due to optimized SQL and more filters passed in native SQL.
Accelerated Access to BW Al Weedman Idea Integration.
SAP BW Implementation at JoAnn Stores Inc. Session Code 3309 Craig Eick JoAnn Stores Inc.
REDMOND, Wash., and WALLDORF, Germany – May 19 th, 2014: Steve Lucas, President SAP Platform Solutions at SAP AG “We are proud of how we listened.
Data Warehousing: Defined and Its Applications Pete Johnson April 2002.
State of Connecticut Core-CT Project Query 4 hrs Updated 1/21/2011.
Data Conversion to a Data warehouse Presented By Sanjay Gunasekaran.
Systems analysis and design, 6th edition Dennis, wixom, and roth
Copyright © 2003 by Prentice Hall Computers: Tools for an Information Age Chapter 13 Database Management Systems: Getting Data Together.
ASP.NET Programming with C# and SQL Server First Edition
CRM Analytics Architecture
Chapter 6: Foundations of Business Intelligence - Databases and Information Management Dr. Andrew P. Ciganek, Ph.D.
DW-1: Introduction to Data Warehousing. Overview What is Database What Is Data Warehousing Data Marts and Data Warehouses The Data Warehousing Process.
Organizing Data and Information AD660 – Databases, Security, and Web Technologies Marcus Goncalves Spring 2013.
Session 4: The HANA Curriculum and Demos Dr. Bjarne Berg Associate professor Computer Science Lenoir-Rhyne University.
© 2007 by Prentice Hall 1 Introduction to databases.
Using SAS® Information Map Studio
BW Know-How Call : Performance Tuning dial-in phone numbers! U.S. Toll-free: (877) International: (612) Passcode: “BW”
Discovering Computers Fundamentals Fifth Edition Chapter 9 Database Management.
Professor Michael J. Losacco CIS 1110 – Using Computers Database Management Chapter 9.
OLAP & DSS SUPPORT IN DATA WAREHOUSE By - Pooja Sinha Kaushalya Bakde.
Managing Knowledge in Business Intelligence Systems Dr. Jan Mrazek.
Data Management Console Synonym Editor
C6 Databases. 2 Traditional file environment Data Redundancy and Inconsistency: –Data redundancy: The presence of duplicate data in multiple data files.
5-1 McGraw-Hill/Irwin Copyright © 2007 by The McGraw-Hill Companies, Inc. All rights reserved.
5 - 1 Copyright © 2006, The McGraw-Hill Companies, Inc. All rights reserved.
6.1 © 2010 by Prentice Hall 6 Chapter Foundations of Business Intelligence: Databases and Information Management.
Operation Data Analysis Hints and Guidelines EGN 5621 Enterprise Systems Collaboration Summer B, 2014.
Operation Data Analysis Hints and Guidelines EIN 6133 Enterprise Engineering Summer, 2015.
1 Agenda 7 Hints from the field: how to make BI- Accelerator work for you  Sizing and Implementation  Management and Costs.
Building Dashboards SharePoint and Business Intelligence.
ATUL PATANKAR [ ASUG INSTALLATION MEMBER MEMBER SINCE: 2000 LINDA WILSON [ ASUG INSTALLATION MEMBER MEMBER SINCE: 1999 JUERGEN LINDNER [ SAP POINT OF CONTACT.
0 / Database Management. 1 / Identify file maintenance techniques Discuss the terms character, field, record, and table Describe characteristics.
© 2003 Prentice Hall, Inc.3-1 Chapter 3 Database Management Information Systems Today Leonard Jessup and Joseph Valacich.
Business Intelligence Training Siemens Engineering Pakistan Zeeshan Shah December 07, 2009.
Session id: Darrell Hilliard Senior Delivery Manager Oracle University Oracle Corporation.
Drill-Through Features Cognos 8 BI. Objectives  In this module we will examine:  Cognos 8 Drill Through Overview  Model / Package Drill Through  Cross.
1 Copyright © 2009, Oracle. All rights reserved. Oracle Business Intelligence Enterprise Edition: Overview.
21 Copyright © 2008, Oracle. All rights reserved. Enabling Usage Tracking.
Sap BI/BW online training in usa,uk/free demo classes!JOBS Online | classroom| Corporate Training | certifications | placements| support Contact US: Magnific.
CIS-NG CASREP Information System Next Generation Shawn Baugh Amy Ramirez Amy Lee Alex Sanin Sam Avanessians.
1 Management Information Systems M Agung Ali Fikri, SE. MM.
SAP BO 4.0 ONLINE TRAINING Online | classroom| Corporate Training | certifications | placements| support CONTACT US: MAGNIFIC TRAINING INDIA
Operation Data Analysis Hints and Guidelines EIN 6133 Enterprise Engineering Fall, 2015.
ATUL PATANKAR [ ASUG INSTALLATION MEMBER MEMBER SINCE: 2000 LINDA WILSON [ ASUG INSTALLATION MEMBER MEMBER SINCE: 1999 JUERGEN LINDNER [ SAP POINT OF CONTACT.
1 Copyright © 2008, Oracle. All rights reserved. Repository Basics.
Intro to MIS – MGS351 Databases and Data Warehouses
Operation Data Analysis Hints and Guidelines
IBM COGNOS online Training at GoLogica Technologies
IBM DATASTAGE online Training at GoLogica
Databases and Data Warehouses Chapter 3
MANAGING DATA RESOURCES
SAP BUSINESS OBJECTS WEB INTELLIGENCE RICH CLIENT
Chapter 1 Database Systems
Course: Module: Lesson # & Name Instructional Material 1 of 32 Lesson Delivery Mode: Lesson Duration: Document Name: 1. Professional Diploma in ERP Systems.
Data Warehousing Concepts
Best Practices in Higher Education Student Data Warehousing Forum
David Gilmore & Richard Blevins Senior Consultants April 17th, 2012
Operation Data Analysis Hints and Guidelines
QlikView for use with SAP Netweaver Version 5.8 New Features
Presentation transcript:

ATUL PATANKAR [ ASUG INSTALLATION MEMBER MEMBER SINCE: 2000 LINDA WILSON [ ASUG INSTALLATION MEMBER MEMBER SINCE: 1999 JUERGEN LINDNER [ SAP POINT OF CONTACT MEMBER SINCE: 1998 [ ] Allstate Integration of BW and BO Reporting Solution – Marketing Effectiveness [ April 16, 2010/Jay Cone Tom Sidor

[ Real Experience. Real Advantage. Allstate at a Glance  The Allstate Corporation is the nation’s largest publicly held personal lines insurer.  A fortune 100 company with $132.7 billion in assets.  Allstate sells 13 major lines of insurance, including auto, property, life and commercial. Allstate also offers retirement and investment products and banking services.  Allstate is widely known through the “You’re In Good Hands With Allstate®” slogan.  The Allstate Corporation encompasses more than 70,000 professionals with technology operations located around the globe.  Allstate is reinventing protection and retirement to help individuals in approximately 17 million households protect what they have today and better prepare for tomorrow.

[ Real Experience. Real Advantage. 3  Project overview  Reporting tool selection process  Project opportunities with BW to BO integration  Lessons learned  Report examples  Q & A Agenda

[ Real Experience. Real Advantage. 4  Sales Order reporting was at a basic level for Marketing purposes  Unable to report by:  SKU  Agent  Marketing Initiatives  Territories  Reports were limited, manual, and subject to inaccuracies  Reporting also impacted the efficient management of:  Marketing Campaigns  Order/shipping behaviors (by material, agency, region, seasonal impacts) Project Overview Current Reporting Deficiencies Client  Allstate Marketing Department

[ Real Experience. Real Advantage. 5  Provide Marketing with timely and accurate material order reporting  Provide summary level reporting with the ability to analyze supporting detail  Understand the ordering and usage behavior of agents  Understand the impact of marketing initiatives on material usage in the field  Provide information to aid cost reduction initiatives and forecast future usage Project Overview Business Goals and Objectives

[ Real Experience. Real Advantage. 6  Used a combination of custom and standard SAP extractors for both transaction and master data  Transformations were performed within BW  Transformed data was loaded into a cube and Bex queries were built on a MultiProvider Project Overview High Level Design

[ Real Experience. Real Advantage. 7 Project Overview High Level Transaction Data Flow

[ Real Experience. Real Advantage. 8  Tool Decision was based on several factors  SAP Reporting Direction  Allstate BI Tool Direction  Project Team Skills  Project Requirements/Customer Input  Focused on BO tool set  Considered Voyager, Pioneer, Xcelsius, Crystal and Webi  Project requirements and tool availability limited choices to Webi or Crystal  Selected Web Intelligence  Used a Bex query based Universe Reporting Tool Selection Process BI Reporting Strategy

[ Real Experience. Real Advantage. 9 BO WEBI Reporting Flow

[ Real Experience. Real Advantage. 10  SAP Business Warehouse  SAP NetWeaver 7.0  Support stack level 16  Business Intelligence Content 7.03  Sun operating system  Oracle database level  Business Objects  Business Objects Enterprise 3.1 SP 1 FP 1.6  Installed on a 14 - server cluster running Windows 2003 servers with WebSphere 6.1 as an application server  Connecting to Oracle, SQL Server, DB/2, SAP R/3 and SAP BW data sources BW and BO Release Details

[ Real Experience. Real Advantage. 11  Updating Bex affects the BO Universe  Most Bex query changes require a Universe refresh (Be watchful of any customization done to a Universe)  Cascading LOV (List of Values) will need to be recreated  Previously deleted objects may return  Customization to Universe objects should be reviewed  Backend BW Characteristics or KF additions had unexpected impacts on BO Reports in progress  Changed the fields displayed Project Opportunities with BW to BO Integration

[ Real Experience. Real Advantage. 12  Hyperlinks used to drill to a child report  Special logic required to pass “optional” prompt values from query selections  Improper sorting on a column that is hyperlinked  Cannot use standard formatting techniques for numbers  Use of the database delegated feature was necessary but had other reporting implications  Limited the use of reporting variables within the report body and often displayed #Unavailable  Unexpected values of #Multivalue or 0 can appear and be difficult to resolve  Summary Totals were at times inaccurate Project Opportunities with BW to BO Integration

[ Real Experience. Real Advantage. 13  The combination of mandatory Bex input variables, BO cascading list of values, and a BO query input prompt is not supported by Webi and results in an error message  The work around was to create Optional Bex Input Variables Project Opportunities with BW to BO Integration

[ Real Experience. Real Advantage. 14  Other Issues  Not all Bex Time Objects received the same treatment in BO  Some are represented as text and others as date  Bex Fiscal Period 009/2009 is text not date  BO will create Formatted Dimension objects that are character based, along with primary numeric measure Project Opportunities with BW to BO Integration

[ Real Experience. Real Advantage. 15 Project Opportunities with BW to BO Integration  Reporting Performance Strategy  Perform report logging and tracing within BW and on the BO reporting server  Analyze results and identify performance improvement areas  Optimize Bex query  Optimize Webi query and reports  Transport SAP note updates  Recommended Source Material – SAP Community Network’s Webinar  SAP NetWeaver BW and BusinessObjects Web Intelligence Performance Best Practices SAP NetWeaver BW and BusinessObjects Web Intelligence Performance Best Practices  The above is a link to the Webinar.

[ Real Experience. Real Advantage. 16 Project Opportunities with BW to BO Integration  Reviewed BW Statistics Tables  RSDDSTAT_DM and RSDDSTAT_OLAP  Captured MDA Log Files  Provided MDX statements sent to BW  Provided Time Stamps for MDX execution  Analyzed the query within RSRT  Executed MDX statements using T-code MDXTEST Perform report logging and tracing

[ Real Experience. Real Advantage. 17 Project Opportunities with BW to BO Integration  Reviewed the results of the statistics and logs for the applicable queries and concluded:  Data mart processing was relatively quick  Majority of time was spent on OLAP processing  Causes of excess OLAP processing:  Redundant queries required for totals  Exception aggregation used in counts  Use of RKFs, CKFs and Structures within Bex  Use of hierarchies for displaying data  Flattening process to present data to Webi Analyze results and identify causes

[ Real Experience. Real Advantage. 18 Project Opportunities with BW to BO Integration Optimize Bex query  Updated Bex query properties in RSRT  Checked “Use Selection of Structure Elements”  Minimize records selected by adding relevant selection criteria

[ Real Experience. Real Advantage. 19 Project Opportunities with BW to BO Integration Optimize Webi Query and Report  Removed all fields in the Webi query that were not required for the report  Optimizes MDX sent to BW  Maximized the selection criteria within the Webi query panel  Broke up a single large query into two smaller queries  Special calculations required lower level of detail  Allowed BW aggregation on main data  Used the BO scheduling feature for long reports

[ Real Experience. Real Advantage. 20 Project Opportunities with BW to BO Integration Transport SAP Note updates MDX: Filter transfer in the case of cross join MDX: Performance when filtering on hierarchy node symptom Error while maintaining DTP for Master Data Update MDX: Buffering of hierarchy metadata Performance problems occur when reading the master data Performance optimization for hierarchy authorizations MDX: Performance improvements during determination of axes MDX: Performance of the UNION() function MDX: Performance of DESCENDANTS (..., LEAVES) function MDX: Performance of function EXCEPT(.Members,.[All]) MDX optimization: Reading minimal set of key figures

[ Real Experience. Real Advantage. 21  Upgrade both BW and BO to the latest available support packages prior to starting the project  On an initial integration of BW and BO allow for additional prep, research, and training in the project plan  Complete the BW build prior to starting the BO reporting build to minimize impacts and rework  Create multiple Bex queries and Universes for dissimilar BO reports (not just one)  Design reports that maximize the summarization on BW  Where possible break large Webi queries into multiple small queries  Minimize the records extracted for detail reports Lessons Learned

[ Real Experience. Real Advantage. 22 Report Examples

[ Real Experience. Real Advantage. 23 Report Examples

[ Real Experience. Real Advantage. 24 Report Examples

[ Real Experience. Real Advantage. 25 Report Examples

[ Real Experience. Real Advantage. 26 Report Examples

[ Real Experience. Real Advantage. 27 Report Examples

[ Real Experience. Real Advantage. 28 Report Examples

[ Real Experience. Real Advantage. 29 Report Examples

[ Real Experience. Real Advantage. 30 Report Examples

[ Real Experience. Real Advantage. 31 ]  Thank you Q & A