HANA for Oil & Gas Industry

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1 Applies to: HANA 1.0, SAP ECC 6.0, EhP5 Oil & Gas or any older version of SAP IS-Oil & Gas solution Summary This whitepaper is a Proof of Concept of SAP s ground breaking In-Memory computing product HANA (High- Performance Analytic Appliance) with the aim to show-case modeling complex business requirements in Oil Aviation Business. An End to End Integration from the backbone ECC Oil & Gas system and other Point of Sale systems into HANA are explained beginning with initial data loads and information modeling to Microsoft Excel based reporting. The results of the POC were outstanding with HANA technology resulting in lightening fast computation of time and resource heavy Strategic reports, while providing un-compromising preciseness on the Operational reporting needs. Eventually summarizes how quicker business decisions and Speed to Business are possible using HANA at any level of an organization. Author: Kiran Srirama Company: SAP Netherlands BV Created on: 01 July 2011 Author Bio Kiran Srirama is a Principal Consultant the Business Transformation Services Group of SAP Netherlands. With a special focus on HANA, this following POC was lead and delivered using industry use-cases and work streams for SAP Oil & Gas. His specializations include providing leadership and architectural consulting to SAP customers on IS-Oil & Gas/Metals/Chemicals/Mining, ERP Sales and Distribution, Materials management and Logistics execution 2011 SAP AG 1

2 Table of Contents Introduction... 3 HANA Overview... 4 Oil Aviation Business Overview... 6 The Use-Case... 7 Architecture... 7 Org structure for the use-case... 8 HANA Studio preview... 8 Information modeling... 9 Data-Loading into HANA HANA Studio and Excel based reporting Summary Related Content Copyright SAP AG 2

3 Introduction The facts and numbers around the aviation downstream business at Oil & Gas majors already say a lot. Consider Oil companies selling fuels, lubricants and services at airports to the airline companies and other related business and ground fleet, we are talking about business spanning across 90 countries about 1200 airports and fuelling an airplane on average every 15 seconds and recording about several millions of sales orders annually. Such business relies on a vast infrastructure and varied demographics where aviation business operates and different operating environments. The challenges of last decade were to integrate such varied landscape and business into a central backbone ERP instance (e.g.: SAP systems). Looking at several Oil companies and where they are with this, one can more or less say this is now achieved and productive. Integrating more and more countries and airports seamlessly into the SAP system is now not a challenge anymore for the IT within the company. However, as the decision making relies more than ever on complex algorithms and larger data sets, ability to query and retrieve information instantly is now the most critical challenge. The volume of data your organization has to manage is growing exponentially but the time you have to make relevant data-based business decisions is shrinking. The most desired aspects of a management report are to be Flexible, Precise, Fast, and Granular where needed with pure Real-time capabilities. Achieving all these attributes together in an entirety is simply not possible today. Decision-making and management reporting has been primarily on data warehousing instances (such as SAP BW) with reporting front ends such as Crystal reports, BW explorer and Excel along with several other tools. Another aspect to consider is the new generation smart devices that are becoming more and more common. Smart devices such as iphone / ipad and other handhelds are now capable of running SAP front ends on them and therefore are becoming much desirable channels for retrieving management reporting as well. In order to support the short turnaround times for mobility based queries, a very fast backbone appliance is required. SAP s ground breaking In-Memory computing platform HANA (High-Performance Analytic Appliance) is simply the right answer for these situations described above. This allows SAP to deliver a new, previously unimaginable class of enterprise applications that combine high-volume transactions with real-time analytics to dramatically improve data-intensive processes such as planning, forecasting and pricing optimization. Such technology allows harnessing the possibilities of real-time data with SAP In-Memory Database. By combining advances in data compression, columnar data store and in-memory computing technology, SAP In-Memory Database is designed to power the next generation of enterprise data management. In this whitepaper, I aim to demonstrate usage of HANA technology with a use case from Oil & Gas Aviation business model. An overview to end-to-end scenario starting from Data loads to Analytical modeling to Excel based reporting are demonstrated with excellent results achieved of about under 2 seconds to scan and report summaries out from 1,2 million sales order records on a 500 GB In-Memory HANA appliance SAP AG 3

4 HANA Overview HANA is an in-memory technology where data can be loaded into it from several sources like ERP, BW and also third party systems. The data can be loaded using special column-store techniques which allow efficient data retrieval, while the traditional Row stores are available as well. The below shows an overview of HANA architecture and supporting front ends SAP AG 4

5 A bit deeper details on HANA architecture can be seen below with several layers and the actions under each layer of the in-memory computing SAP AG 5

6 Oil Aviation Business Overview Oil downstream business is characterized by sales and distribution of fuels, lubricants, bitumen and services to several customers across different lines of business such as aviation, marine and commercial and retail customers. Considering Aviation alone, the business volumes looks like depicted below. We are talking about business spanning across 90 countries about 1200 airports and fuelling an airplane on average every 15 seconds and recording about several millions of sales orders annually. Such business relies on a vast infrastructure and varied demographics where aviation business operates and different operating environments. The pain points of today s IT architecture are mainly around inability of real-time decision making and very long times to wait for making meaningful and critical decisions. Consider a case where as a management team of an Oil company, you like to review whether doing business at a certain airport and country and certain products are profitable anymore. You would like to look at several aspects such as which customers are picking up, what products, how much, which period of year is more profitable and so on, and all very quickly. Consider another case where you like to settle disputes with an airport operator and offer him same day dispute resolution, which can add a lot of brand value to the company SAP AG 6

7 The Use-Case Architecture HANA can receive data from the ECC/IS-OIL backbone and/or the BW systems and also the POS system can be interfaced where needed. Using the HANA inbuilt Studio, information modeling can be performed. The reporting is then much quicker and possible to transfer it to several devices and using reporting tools. In this use-case, the aim is to build two reports on HANA which will read enormous volumes of data and to see how Flexibility, Preciseness, Speed and Granular where needed can be demonstrated. Aviation performance reporting o Sales orders read and analyzed per customer, per product, per period, per airport. o Key strategic decisions can be taken with access to granular data where required. o Strategic report Dispute resolution report. o Sales orders analyzed for disputes against the received POS data. o Volumes in errors are detected quickly and disputes resolution initiated. o Operational report 2011 SAP AG 7

8 Org structure for the use-case The following depicts the organizational structure designed especially for this use-case. The Oil downstream business operates in three countries and at three airports selling to three different airliners. The products being sold are Fuels, Lubricants and Services: HANA Studio preview To execute the use-case modelling a HANA 1.0 system with 500 GB of main memory was used. HANA Studio is a built in modelling tool thats provided with HANA appliance. Here is a quick preview of how it looks SAP AG 8

9 Information modeling Information Modeling was done using HANA studio. The analytical view depicted above shows that the key figures such as net volume, value can be reported with several characteristics such as period, airport, product and customer SAP AG 9

10 Data-Loading into HANA Data Loads into HANA column store can be done a) Via Initial Data loads using CSV files b) Via Data Services c) Via Sybase replication Services (in real-time!) Data loading can occur from CSV with the following statements: HANA offers parallel thread based data loading for which incredible speeds have been seen. For instance, about 1,02 million records were loaded in under 90 seconds into the main memory using this mechanism SAP AG 10

11 HANA Studio and Excel based reporting 2011 SAP AG 11

12 2011 SAP AG 12

13 Summary HANA is an emerging technology and is promising SAP AG 13

14 Related Content 1. SAP In-Memory document from Hasso Plattner Institute 2. SAP In-Memory computing 3. SAP HANA 2011 SAP AG 14

15 Copyright Copyright 2011 SAP AG. All rights reserved. No part of this publication may be reproduced or transmitted in any form or for any purpose without the express permission of SAP AG. The information contained herein may be changed without prior notice. Some software products marketed by SAP AG and its distributors contain proprietary software components of other software vendors. Microsoft, Windows, Excel, Outlook, and PowerPoint are registered trademarks of Microsoft Corporation. IBM, DB2, DB2 Universal Database, System i, System i5, System p, System p5, System x, System z, System z10, System z9, z10, z9, iseries, pseries, xseries, zseries, eserver, z/vm, z/os, i5/os, S/390, OS/390, OS/400, AS/400, S/390 Parallel Enterprise Server, PowerVM, Power Architecture, POWER6+, POWER6, POWER5+, POWER5, POWER, OpenPower, PowerPC, BatchPipes, BladeCenter, System Storage, GPFS, HACMP, RETAIN, DB2 Connect, RACF, Redbooks, OS/2, Parallel Sysplex, MVS/ESA, AIX, Intelligent Miner, WebSphere, Netfinity, Tivoli and Informix are trademarks or registered trademarks of IBM Corporation. Linux is the registered trademark of Linus Torvalds in the U.S. and other countries. Adobe, the Adobe logo, Acrobat, PostScript, and Reader are either trademarks or registered trademarks of Adobe Systems Incorporated in the United States and/or other countries. Oracle is a registered trademark of Oracle Corporation. UNIX, X/Open, OSF/1, and Motif are registered trademarks of the Open Group. Citrix, ICA, Program Neighborhood, MetaFrame, WinFrame, VideoFrame, and MultiWin are trademarks or registered trademarks of Citrix Systems, Inc. HTML, XML, XHTML and W3C are trademarks or registered trademarks of W3C, World Wide Web Consortium, Massachusetts Institute of Technology. Java is a registered trademark of Sun Microsystems, Inc. JavaScript is a registered trademark of Sun Microsystems, Inc., used under license for technology invented and implemented by Netscape. SAP, R/3, SAP NetWeaver, Duet, PartnerEdge, ByDesign, SAP Business ByDesign, and other SAP products and services mentioned herein as well as their respective logos are trademarks or registered trademarks of SAP AG in Germany and other countries. Business Objects and the Business Objects logo, BusinessObjects, Crystal Reports, Crystal Decisions, Web Intelligence, Xcelsius, and other Business Objects products and services mentioned herein as well as their respective logos are trademarks or registered trademarks of Business Objects S.A. in the United States and in other countries. Business Objects is an SAP company. All other product and service names mentioned are the trademarks of their respective companies. Data contained in this document serves informational purposes only. National product specifications may vary. These materials are subject to change without notice. These materials are provided by SAP AG and its affiliated companies ("SAP Group") for informational purposes only, without representation or warranty of any kind, and SAP Group shall not be liable for errors or omissions with respect to the materials. The only warranties for SAP Group products and services are those that are set forth in the express warranty statements accompanying such products and services, if any. Nothing herein should be construed as constituting an additional warranty SAP AG 15

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