SAP NetWeaver BW Powered by SAP HANA Customer Success

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1 SAP NetWeaver BW Powered by SAP HANA Customer Success

3 UNO Bakes to Perfection with SAP Business Planning and Consolidation, Powered by SAP HANA Company UNO (Unmas Unlu Mamuller) Headquarters Istanbul, Turkey Industry Consumer Products Products and Services Baked Goods, Packaged Bread Revenue Employees 1,500 Web Site Partner IBM Metric Technology Business challenges Managing and analyzing huge data volumes required for daily operations, while supporting company growth Enhance data-monitoring capabilities to improve production-toconsumption process for 370 trucks covering 95% of the country Provide management team with the means for faster, more accurate data analysis and reporting Technical implementation Implemented the SAP NetWeaver Business Warehouse solution powered by SAP HANA Deployed the SAP Business Planning and Consolidation, version for SAP NetWeaver powered by SAP HANA for automated and accelerated business planning and reporting cycles Key benefits Compressed big data into a manageable series of reports, enabling faster decision-making and market response times based on more accurate information Streamlined planning data from more than 10,000 retail stores, maximizing product shelf life and reducing food wastage Improved data compression by a factor of 9.5, reducing IT demands UNO has a history of embracing technology that supports our innovation. We are proud to be the first users of BPC on HANA in our country, and in our industry. We can now manage our growing business more efficiently with visibility into strategic data that we never had before. Kaan Aktoluğ, Assistant General Manager, UNO 10x Reduction in database size for lower cost of ownership 400% Faster reporting speed for accelerated analysis and planning cycles, time to action 200% Increase in management reports for increased operational visibility 2011 SAP AG. All rights reserved. (2013/01) 3

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8 SAP NetWeaver BW on SAP HANA Marathon Oil Business Challenge Performance and benefits Marathon Oil Corporation, based in Houston, Texas, is an independent international energy company engaged in exploration and production, oil sands mining and integrated gas. Marathon Oil faced new challenges stemming from increased investor expectations for faster and more granular information about their business. The reporting challenge was magnified by investor reporting demands due to significant ramp up of drilling activity in North America, and the pressing need for accurate and timely information in their international operations. Reduced SAP BW support costs 10x Faster Data Loading - Batch load for over 6 million records now takes only 9 minutes with SAP BW running on HANA. This used to take over 8 hours with SAP BW running on the traditional database Near-real time reporting capability 100x Faster Reporting - Legacy BEx queries now run much faster 5x Data compression savings Simplified BW design and modeling - better use of DSOs Reporting requests and changes completed much more quickly with far fewer BEx queries to modify More granular information with the ability to aggregate and disaggregate with transparency. Implementation of new GL substantially improved detailed financial reporting below the segment level. This level of detail was previously not possible SAP AG. All rights reserved. 8

9 SAP NetWeaver BW on SAP HANA Home Trust Project scope and business scenario Performance and benefits Customer quotes Home Trust successfully migrated SAP BW to SAP HANA in early 2012 moving significant data volumes from Oracle DB to HANA. This led to drastic improvements in query run-times and data loading in BW as well as in reporting performance in SAP BusinessObjects BI. The result: improved customer service responsiveness and loan processing times while providing a long term scalable platform for future growth. Loan processing: From 3 hours to 45 minutes Improved accuracy of data for regulatory reporting Financial close process: From 10 days to 5 days DSO/Cube loading speeds up about 1.3x faster DSO activation 19x BW query average 8-12x 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 Saniv Purba, CIO of Home Trust 2011 SAP AG. All rights reserved. 9

10 NongFu Spring CPG Industry (Bottled water and beverages) Sales Reporting >2,300x faster to produce freight settlement report 5-10x reduction in BW query response 33% reduction in database size Business Challenges Poor decision making due to slow speed and lack of accurate data Slower response time to competition, growing business needs Technical Challenges Big data: takes more than a day to organize huge amounts of pointof-sale (POS) data Lack of coordination between sales, marketing, production, and logistics Benefit Real-time decisions regarding the company s long-term development, improving efficiency and lowering costs Real-time shipping fee calculation and sales order analysis 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. 10

11 SAP NetWeaver BW on SAP HANA Shanghai Volkswagen Project scope and business scenario Performance and benefits Customer quotes Migrated original BW system to SAP HANA in late 2011 for significant improvements in streamline data modeling and reporting and query performance in SAP BusinessObjects 4.0 Cube loading speeds up increased 1.39x DSO activation increased 15x BW query response times increased 8.5x SAP BusinessObjects BI reporting 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) 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, there is tremendous opportunity to dramatically improve our enterprise data warehouse solution with BW on HANA, drastically reducing data latency and improving speed at which we can return query results with BW on HANA vs. waiting up to 30 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. 11

12 Usha International Ltd. Consumer Durables Domestic Appliances 30-80x faster query performance improvement for large data queries 9:1 data compression factor 10x faster data load Business Challenges Due to report-generation time-lag, actual sales and supply-chain performance could not be tracked Poor decision making due to lack of fast analysis Technical Challenges Slow response to the large data analysis query Exponentially increasing data volumes affecting supply chain efficiency Benefit Sales up-lift enabled by faster analysis of secondary sales data Real-time decision-making for better inventory management Enter new markets by analyzing secondary sales data and market research reports 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. 12

13 Lenovo Computer Hardware Improved reporting performance for the BI Reporting landscape 2x-20x web intelligence performance improvement 2x data compression in HANA from BW 60x improvement in general BW query performance from hours to minutes Business Challenge Drive operational excellence in reporting Global Shipment Process data Technical Challenge Needed faster sales pipeline reporting from CRM Benefits Real-time accurate reporting makes operations more efficient and productive Become SAP s Hardware partner and sell servers to SAP HANA customers Improve speed and hence utilization of BW reporting tools In an industry where products become obsolete quickly, we need both a deep and instant knowledge of customer behavior and products being sold globally. That's why Lenovo chose SAP Customer Relationship Management and supercharged it with SAP HANA. Using these solutions side by side will allow us to analyze orders by customer, region or product. This will improve our forecasting abilities and we'll be able to introduce new products and services faster. Reporting on stale data is dead we now explore the data on the fly and run the business based on the most recent events, customer relationships and product plans. Xiaoyu Liu, vice president, Global Application Development 2011 SAP AG. All rights reserved. 13

14 SAP NetWeaver BW on SAP HANA Innogence 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 Query against cube with 20 million rows Data transfer process runtime of loading 1 million records into DSO DSO activation runtime for 1 million records BWB (SQL database) BWH (SAP HANA database) 110 seconds 0.5 seconds 220x 294 seconds 87 seconds 3.4x 359 seconds 13 seconds 27x Performance gains 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 2011 SAP AG. All rights reserved. 14

15 SAP NetWeaver BW on SAP HANA Asian Paints Project scope and business scenario Performance and benefits Asian Paints, the biggest paint manufacturing company in India with very strong brand equity is seen as the early adopter of cutting edge IT solutions, and is widely regarded in the SAP customer community as very prolific user of SAP BI. In late 2011, Asian Paints decided to implement HANA for their growing analytical needs for the large volume ERP and BW implementations, and with the help of SAP Consulting implemented SAP HANA running under SAP BW in only 3 weeks. Data volume compression savings of 6:1 moving from BW/Oracle to BW/HANA Significant improvement in the query performance: average query performance improvement was15 x with maximum improvement 266x times. Certain queries, for analyzing orders and billing that could not run in the past on BW-Oracle, are returning the results with an impressive query response time of secs with BW-HANA. Data load time reduced by an average of 95% with some of the delta data load completing in 2 minutes in BW-HANA, paving the way for near real-time data extraction and analysis, compared to more than minutes it used to take in BW-Oracle SAP AG. All rights reserved. 15

16 Southern California Edison Energy consumption forecasting with Smart Meter Analytics 6.3x faster data loads from 15+ hours to <3 hours 75% reduction in CRM query response times from ~23 seconds to 6 seconds 6.2x data compression Business Challenges Better understand consumption behavior, optimize campaign effectiveness, and improve customer energy efficiency Poor decision making on service outage, power procurement and requirement forecasting Technical Challenges Needed real-time access and insight into huge volume of continually changing electric usage data (~2 TB) Benefit Better match supply to demand Provide the most reliable service possible to customers Better power procurement 2011 SAP AG. All rights reserved. 16

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18 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. 18

19 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. 19

20 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. 20

21 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 2011 SAP AG. All rights reserved. 21