We think you have liked this presentation. If you wish to download it, please recommend it to your friends in any social system. Share buttons are a little bit lower. Thank you!
Presentation is loading. Please wait.
Published byNoel nolan Phemister
Modified over 2 years ago
SAP NetWeaver BW: Powered by SAP HANA Customer Feedback April 6, 2012
©2011 SAP AG. All rights reserved.2 SAP NetWeaver BW: Powered by SAP HANA Ramp up early customer adopters
©2011 SAP AG. All rights reserved.3 SAP NetWeaver BW on SAP HANA Ramp-up Results Home Trust Project scope and business scenario Home Trust has successfully completed Proof of Concept migrating SAP NetWeaver BW 7.0 to SAP NetWeaver BW 7.3 and migrating ½ of TB data from Oracle DB to SAP HANA DB. This resulted in drastic improvements of Reporting run-times in BW, SAP BusinessObjects and Cognos Reporting as well as data load improvements and screen navigation and stand alone Programs Performance and benefits DSO/Cube loading speeds up about 1.3x faster DSO activation 19x BW query average 8-12x –Sub-optimized (large data sets and OLAP operations) – 2.5x –Simple queries (Few char and few kyf) up-to – 453x –Cognos integration at least 10x Customer quotes “We are very impressed with the proof-of-concept results running BW on SAP HANA. As a result, we are re-architecting our Reporting environment to leverage BW on HANA. Our plan is to replatform reporting over the course of summer 2012.” Saniv Purba, CIO of Home Trust
©2011 SAP AG. All rights reserved.4 SAP NetWeaver BW on SAP HANA Ramp-up Results Nongfu Springs Project scope and business scenario NongFu Springs implemented SAP NetWeaver BW on DB2 in Over time, as data volumes in SAP NetWeaver BW continued to grow, overall performance started to degrade affecting business users productivity. This prompted the move to running SAP NetWeaver BW on SAP HANA in early 2012 Performance and benefits 5x to 7x improvement in DSO generation and activation Average report speed on SAP NetWeaver BW queries improved by 5x to 10x Non disruptive for the business when using SAP BusinessObjects BI on top of SAP NetWeaver BW – just much faster data processing and a better user experience Reduced IT workload with the elimination of indexes and aggregates as well as simplified modeling in SAP HANA Entire data volume stored in DB2 when migrated to SAP HANA (and stored in-memory) is 1/3x smaller Customer quotes “We are so satisfied with the operation and speed of the entire BW on HANA implementation. According to end users' feedback, the speed of their standard BW reports is very fast and has been improved greatly. In addition, the running of the whole production system is stable with fast speed of the data extract, ETL, and incremental updates.” CIO NongFu Springs
©2011 SAP AG. All rights reserved.5 SAP NetWeaver BW on SAP HANA Ramp-up Results Shanghai Volkswagen Project scope and business scenario Migrated original BW Test system (copy from BW Productive system), converted relevant modeling and showed data with Business Objects 4.0 Web Intelligence Performance and benefits Cube loading speeds up about 1.39x DSO activation 4.15x BW query 8.5x WebI execution 11.6x, compared to BW on Oracle ( Ex. With the same data volume(40 millions) in Cube, SAP NetWeaver BW on SAP HANA: 45 seconds, BW on Oracle: result set returned finally after a 20 minutes wait) Customer quotes “Real-time insights combining our customer demand, marketing promotion, with supply chain visibility on a rock-solid enterprise-class data platform is a must in our industry. With SAP HANA, we see a tremendous opportunity to dramatically improve our enterprise data warehouse solutions with BW on HANA, drastically reducing data latency and improving speed when we can return query results in 45 seconds from BW on HANA vs. waiting up to 20 minutes for empty results from BW on Oracle.” Weijun Zhang, IT Manager, Project Manager for BW on HANA Pro
©2011 SAP AG. All rights reserved.6 SAP NetWeaver BW on SAP HANA Ramp-up Results USHA Project scope and business scenario Migration of original BW-DB2 production system to SAP HANA with data volumes of 750GB, (faster migration – reduced to 419GB by PSA data clean-up). In addition, the reloaded data foot-print on SAP NetWeaver BW-SAP HANA was reduced to 46GB Performance and benefits Query performance improvement 60-80x Data load 10x faster Compression factor 9.1 85+ reports/queries running over SAP HANA Customer quotes “Business users are very thrilled with the results. They are able to run reports faster, and more importantly, productively utilize their time for analysis and better decision making. Our IT department is also very happy as this project has achieved 3 things in one go: achieve a smaller DB footprint for the same size of a BW deployment; faster data loads making more current data available to business; faster reporting and analysis making business users happy We are now planning to migrate to BPC – HANA. Customer is also planning to upgrade to SAP BusinessObjects BI 4.0.” Subodh Dubey, Group CIO, USHA
©2011 SAP AG. All rights reserved.7 SAP NetWeaver BW on SAP HANA Ramp-up Results Lenovo Project scope and business scenario Lenovo launched their BI Go Live Project in Nov 2011 with SAP NetWeaver BW 7.3 on SAP HANA 1.0 and BusinessObjects BI 4.0 for reporting in Global Shipment Process. After a successful implement and pilot, they went live in Mar 2012 Performance and benefits Reporting performance (Web Intelligence) improved by 2x to 20x Data in SAP HANA compressed by 2–4 x after loading from database source BW system Huge and complicated data scenarios supported in SAP HANA e.g. 6 underline tables with more than 100 million records; 20 tables more than 10 million records General BW Query performance improved from hours to minutes Customer quotes “ I personally was very convinced by the HANA technology. With the quick implementation, we are able turn the HANA product into a solution reality at Lenovo, which significantly increased our business end to end efficiency, without any business disruption. Enabling HANA to run under our SAP BW system is a very important milestone. I am now confident that we have much greater capabilities for advanced reporting which will make our operations more efficient and productive. In fact, I visited with our worldwide manufacturing leads who already were seeing benefits of this capability as we can now create key reports on shipping more timely and accurately across all of our plants. This is the kind of capability we need to drive operational excellence and become #1!” XiaoYu Liu – VP, GM Global Applications Development
©2011 SAP AG. All rights reserved.8 Project scope and business scenario Australia-based systems integrator and SAP partner, Innogence set up an SAP HANA instance at its premises, running under SAP NetWeaver BW to run various test scenarios using large volumes of test data loaded into SAP HANA and BW Performance and benefits Customer Feedback The validation of BW on SAP HANA is particularly promising, as this solution will drive a lot of SAP HANA adoption within SAP’s installed base. What is more is that partners developing on the SAP HANA platform will enable new business scenarios and reach customers and industries that SAP may have otherwise never been able to access SAP NetWeaver BW on SAP HANA Ramp-up Results Innogence BWB (SQL database) BWH (SAP HANA database) Performance gains Query against cube with 20 million rows 110 seconds0.5 seconds220x Data transfer process runtime of loading 1 million records into DSO 294 seconds87 seconds3.4x DSO activation runtime for 1 million records 359 seconds13 seconds27x
©2011 SAP AG. All rights reserved.9 “Real-time insights combining our customer demand, marketing promotion, with supply chain visibility on a rock-solid enterprise-class data platform is a must in our industry... With SAP HANA, we see a tremendous opportunity to dramatically improve our enterprise data warehouse solutions, drastically reducing data latency and improving speed when we can return query results in 45 seconds from BW on HANA vs. waiting up to 20 minutes for empty results from BW on Oracle.” Weijun Zhang IT Manager Shanghai Volkswagen
©2011 SAP AG. All rights reserved.10 “Enabling HANA to run under our SAP BW system is a very important milestone. We can now create key reports on shipping more timely and accurately across all of our plants. This is the kind of capability we need to drive operational excellence and become #1!” XiaoYu Liu Vice President GM Global Applications Development Lenovo
©2011 SAP AG. All rights reserved.11 “Business users are very thrilled with the results. They are able to run reports faster, and more importantly, productively utilize their time for analysis and better decision making. Our IT department is also very happy as this project has achieved faster data loads making more current data available to business; faster reporting and analysis making business users happy.” “Our IT department is also very happy as this project has achieved a smaller DB footprint for the same size of a BW deployment.” Subodh Dubey Group CIO USHA
©2011 SAP AG. All rights reserved.12 Yazaki Europe, an automotive supplier and the world’s largest producer of wiring harnesses for cars and trucks, had been using the 3.5 version of SAP NetWeaver BW 3.5. The company was having challenges with the performance of the existing reporting system. “We chose SAP NetWeaver BW powered by SAP HANA to improve and accelerate several processes in the areas of finance and controlling, production and logistics and we have already seen major improvements. We were able to accelerate processes within finance and controlling, such as end-of-month closing, year-end closing and other common analysis in the area of controlling.” “Our next big step will be the acceleration of processes within the productive ERP system, among others in the area of production and logistics.” With SAP NetWeaver BW powered by SAP HANA, Yazaki Europe has been able to accelerate reporting and is now accessing reports faster out of info cubes and using creativity within reporting. In addition, they are leveraging in-memory processing for fast acceleration of raw tables, calculations and BW metadata. Salim Siddiqi, CIO Yazaki Europe
1. SQL Server 2014 In-Memory by Design Arthur Zubarev June 21, 2014.
Bartek Doruch, Managing Partner, Kamil Karbowiak, Managing Partner, Using Power BI in a Corporate.
Enterprise Solutions Chapter 11 – In-memory Technology.
October, 2013 Navigator 2013 Customer Summit John Okunski – Director, North American Cloud Channel.
© 2010 TIBCO Software Inc. All Rights Reserved. Confidential and Proprietary. TIBCO Spotfire Application Data Services TIBCO Spotfire European User Conference.
A Fast Growing Market. Interesting New Players Lyzasoft.
Getting synergies from rapid access to data Jon Oluf Brodersen – CIO Nokas Group.
©2015 SAP SE or an SAP affiliate company. All rights reserved. Wienerberger: Achieving Market-Oriented Sales Planning and Shorter Forecast and Budget Cycles.
Data Warehouse Tools and Technologies - ETL By: Issarachevawat, Raynoo Romieh, Christian Wongkamolchun, Siri Zhang, Ying.
SAP NetWeaver Business Intelligence SAP Netweaver Business Warehouse (SAP NetWeaver BW) the name of the Business Intelligence,
COGNOS INC. Eddie Haizlip Danny Roach Greg Sparks.
SSIS Over DTS Sagayaraj Putti (139460). 5 September What is DTS? Data Transformation Services (DTS) DTS is a set of objects and utilities that.
© Copyright 2014 Hewlett-Packard Development Company, L.P. The information contained herein is subject to change without notice. HP Restricted. Your mission:
Axis AI Solves Challenges of Complex Data Extraction and Document Classification through Advanced Natural Language Processing and Machine Learning MICROSOFT.
SQL Server 2014 Enterprise Edition Brad Jarocki Adam Bogobowicz Matt Haynes.
Chapter 15: Packaged Software and Enterprise Resource Planning Chapter 18 Systems Analysis and Design in a Changing World, 3 rd Edition.
SAP OLAP, Business Intelligence, & Analytics. ©2011 SAP AG. All rights reserved.2 Model for Data Warehouse for Tyson Foods Dimension tables provide inputs.
1 Agenda 7 Hints from the field: how to make BI- Accelerator work for you Sizing and Implementation Management and Costs.
IS 466 ADVANCED TOPICS IN INFORMATION SYSTEMS LECTURER : NOUF ALMUJALLY 3 – 10 – 2011 College Of Computer Science and Information, Information Systems.
Overview of SAP Application Services By Accely. Introduction Developed organizations in any business industry will invest in SAP programs to offer progressive.
LS Retail BI Information/requirements/deployment steps.
Transforming Business with Advanced Analytics: Introducing the New Intel® Xeon® Processor E7 v2 Family Seetha Rama Krishna Director, APAC HPC Solutions.
© 2009 IBM Corporation Maximize Cost Savings While Improving Visibility Into Lines of Business Wendy Tam, CDC Product Marketing Manager
Connected Experiences for Consumer Goods. Slide Deck Guidance (Hidden Slide) PresenterMicrosoft sales representative Audience Business decision makers.
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.
Chicago SAP Business Intelligence and Analytics User Group Julie Williamson-Wright Senior Education Account Executive November 14, 2014 EDUCATION Helping.
Extreme Performance with Oracle Data Warehousing Andreas Katsaris Data warehouse and BI Practice Manager, Arisant LLC.
OLAP & DSS SUPPORT IN DATA WAREHOUSE By - Pooja Sinha Kaushalya Bakde.
FINSAPP SAP Delivery MATRIX - Get the mix right After delivering 100’s of successful projects over the years the Management Team at FINSAPP has developed.
Oracle Announced New In- Memory Database G1 Emre Eftelioglu, Fen Liu [09/27/13] 1 
SAM for SQL Workloads Presenter Name. SAM supports your datacenter strategy The datacenter is the hub of everything you offer your business. You need.
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.
Nakis Papadopoulos & Richard Lewis Information Management Group (IMGROUP) Ltd
Hosted by How to Maximize the Benefits From Your SAP Investment Jim Shepherd Senior Vice President AMR Research.
Gaining Unprecedented Visibility into Microsoft Dynamics CRM with Halo’s Pipeline Advisor, Powered by the Microsoft Azure Cloud Platform MICROSOFT AZURE.
CASE STUDIES IN DWBI. Client A leading Global Investment Bank. Engagement Engagement was for developing a risk reporting solution for correlation business.
Customer case study - HANA and SAP BusinessObjects July 24, 2014 Presenter: Andrew Abdalla / i telligence ASUG Illinois-Chicago Chapter Meeting.
Data Conversion to a Data warehouse Presented By Sanjay Gunasekaran.
INTRODUCTION Agenda BUSINESS CHALLENGES FEATURES OF RAPID MARTS SOLUTION OVERVIEW DWH USING SAP RAPID MARTS BENEFITS TO BUSINESS USERS.
© 2007 IBM Corporation IBM Information Management Accelerate information on demand with dynamic warehousing April 2007.
1. Enhancing the Performance and Analytic Content of the Data Warehouse Using Oracle OLAP Option Bud Endress, Director of Product Management - OLAP September.
Dr. Bernd Welz, Executive Vice President, SAP AG September 12th, 2013 SAP Innovation Strategy.
The Concepts of Business Intelligence Microsoft® Business Intelligence Solutions.
ORCALE CORPORATION:-Company profile Oracle Corporation was founded in the year 1977 and is the world’s largest s/w company and the leading supplier for.
® Information Management © 2007 IBM Corporation Information On Demand Unlocking the Business Value of Information for Competitive Advantage.
Describing Complex Products as Configurations using APL Arrays.
© 2012 Cisco and/or its affiliates. All rights reserved. Cisco Confidential 1 1 Universal Order Visibility Connected Supply Chain - HANA Solution November,
SharePoint 2010 Business Intelligence Module 2: Business Intelligence.
Accelerating Product and Service Innovation © 2013 IBM Corporation IBM Integrated Solution for System z Development (ISDz) Henk van der Wijk 23 Januari.
© 2017 SlidePlayer.com Inc. All rights reserved.