bw powered by hana_ customer feedback_ final march 2013 (2)

SAP NetWeaver BW: Powered by SAP HANA Customer Success

PresenterPresentation NotesThis is a summary of customer case studies which can be shared, as of June 2011. This material was created using approved customer quotes sourced from the SAPPHIRE NOW 2011 HANA press announcement and the in-memory reference videos currently hosted at http://www.youtube.com/user/SAPBusinessObjects. Customer quotes in these slides cannot be altered in any way without additional approvals.

The goal in producing this deck was to provide alternate customer examples which can be used in the SAP HANA / in-memory computing overview presentation in spotlight. This gives the SAP sales team more flexibility to showcase customers in a specific industry or region, instead of the default customers in the spotlight presentation.

These customer stories represent successes with the SAP HANA appliance for business analytics, as well as new in-memory applications, powered by SAP HANA.

2011 SAP AG. All rights reserved. 2

SAP NetWeaver BW: Powered by SAP HANA Wide Spread Adoption

PresenterPresentation NotesEldorado, Puig SL, Schukat, Miquel Alimnetaciao, Enel, Samsung


UNO Bakes to Perfection with SAP Business Planning and Consolidation, Powered by SAP HANA

(2013/01)

Company UNO (Unmas Unlu Mamuller) Headquarters Istanbul, Turkey Industry Consumer Products Products and Services Baked Goods, Packaged Bread Revenue Employees 1,500 Web Site http://www.uno.com.tr/ 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-to-

consumption 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 Aktolu, 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


SAP NetWeaver BW on SAP HANA Home Trust

Project scope and business scenario

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.

Performance and benefits

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

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


NongFu Spring CPG Industry (Bottled water and beverages) Sales Reporting

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

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 point-

of-sale (POS) data Lack of coordination between sales, marketing, production, and

logistics

Benefit Real-time decisions regarding the companys long-term

development, improving efficiency and lowering costs Real-time shipping fee calculation and sales order analysis

>2,300x faster to produce freight settlement report

5-10x reduction in BW query response

33% reduction in database size

PresenterPresentation NotesProduct: Agile Datamart, BW HANA - RU Business ChallengesPoor decision making due to slow speed and lack of accurate dataSlower response time to competition and growing business needsTechnical ChallengesBig data takes more than a day to organize huge amounts of point-of-sale (POS) Lack of coordination between its operations in sales, marketing, production, and logisticsBenefitsReal-time decisions regarding the companys long-term development, improving efficiency and lowering costsReal-time shipping fee calculation and sales order analysisCompetitionSAP replaced their Oracle EDW (Oracle 11g) with HANA 1.0 SP2Experience real-time execution with SAP HANA 1.0 SP220 30 times faster generation of business reports 2,335 times faster to produce freight account settlement report 24 fewer hours needed for monthly accounts closing8,000 sales representatives get the latest information2T data volume. ~100M records is the largest table. 10x compression ratio from source data

Phase 2: Benefits achieved with BW on HANA5x to 7x improvement in DSO generation and activation Average report speed on BW queries improved by 5x to 10x Reduced IT workload with the elimination of indexes and aggregates as well as simplified modeling in HANAEntire data volumes stored in DB2 when migrated to HANA (and stored in-memory) is 1/3 times smaller


SAP NetWeaver BW on SAP HANA Shanghai Volkswagen


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)

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, 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


Usha International Ltd. Consumer Durables Domestic Appliances

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

30-80x faster query performance improvement for large data queries

9:1 data compression factor

10x faster data load

PresenterPresentation NotesProduct: BW HANA - RUBusiness ChallengeDue to report-generation time-lag, the actual sales and supply-chain performance could not be trackedPoor decision making due to lack of faster analysis Technical ChallengeSlow response to the large data analysis queryExponentially increasing data volumes affecting the supply chain efficiencyBenefitsSales up-lift enabled by faster analysis of secondary sales data and addressing demand Real-time decision-making results in better inventory managementSmaller DB footprint for the same size of a BW deploymentEnter new markets by analyzing secondary sales data and market research reportsExperience real-time execution with BW on HANAQuery performance improvement 60-80 times (faster response to large data queries)Data load 10X fasterCompression factor 9.185+ reports/queries running over HANAReduce US$ 1M inventory held for 180 days to about 30 days


Lenovo Computer Hardware Improved reporting performance for the BI Reporting landscape

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 SAPs 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

2x-20x web intelligence performance improvement

2x data compression in HANA from BW

60x improvement in general BW query performance from hours to minutes

PresenterPresentation NotesProduct: BW HANA - RUBusiness ChallengeDrive operational excellence in reporting Global Shipment Process data Technical ChallengeNeeded faster sales pipeline reporting from CRMBenefitsReal-time accurate reporting making operations more efficient and productiveBecome SAPs Hardware partner and sell their servers to SAP HANA customers Improve speed and hence utilization of BW reporting tools.CompetitionWill replace Teradata with BW on HANAExperience real-time operational excellence with BW 7.3 on HANA 1.0Reporting performance (Web Intelligence) improved by 2x to 20xData in HANA compressed by 2x after loading from database source BW system.Huge and complicated data scenarios supported in HANA eg. 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



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


Customer Feedback

The validation of BW on SAP HANA is particularly promising, as this solution will drive a lot of SAP HANA adoption within SAPs 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 Innogence

BWB (SQL database) BWH (SAP HANA

database) Performance

gains Query against cube with 20 million rows

110 seconds 0.5 seconds 220x

Data transfer process runtime of loading 1 million records into DSO

294 seconds 87 seconds 3.4x

DSO activation runtime for 1 million records

359 seconds 13 seconds 27x


SAP NetWeaver BW on SAP HANA Asian Paints


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 15-20 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 35-40 minutes it used to take in BW-Oracle.


Southern California Edison Energy consumption forecasting with Smart Meter Analytics

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

6.3x faster data loads from 15+ hours to


SAP NetWeaver BW on SAP HANA Merit Energy


Merit Energy is one of the largest privately held oil and gas companies in the world. They purchased BW on HANA in Q4 2011 and implemented a BW on HANA pilot system that is running next to their production BW on Oracle system. They are feeding delta loads from their production ECC environment to both BW on Oracle and BW on HANA.


DSO Activation Biggest DSO is for FI-GL line items with nearly 1 billion rows of active data. From ECC, loaded 1 million+ rows of delta data into the FI-GL DSO. On Oracle, the activation took 588 seconds. With BW on HANA, the activation took 14 seconds! 42x Improvement.

Data Loading Loading 14 million rows of data into an InfoCube for Lease Operating System data took 37 minutes in the Oracle based BW system. With BW on HANA, the In Memory Optimized InfoCube with no Dimension ID lookups took only 12 minutes for a 3x improvement.

Infocube Compression The Lease Operating System InfoCube was 64.66 GB. With BW on HANA the same cube was only 19.32 GB for 3x compression. I am able to access the lowest level of detail in our General Ledger DSO and the performance is incredible. Using the intuitive, Excel-based Analysis Office Interface I can navigate through 1 billion records in 10 seconds or less per navigation.

Customer Quote


SAP NetWeaver BW on SAP HANA PUIG S.A.

Business Challenges Drive international growth by understanding and predicting

sales trends in real-time

Adapt production, distribution and marketing plans to tailor its business to meet consumer demand

Technical Challenges Big Data: Huge datasets could not be loaded into the old system

at all

Analyze its transaction data in order to obtain insights on product performance, by brand, category, geography etc.

Agility -> Provide flexibility and performance for extending the existing IT landscape with new tools and applications.

Benefits Real-time insights with improved quality of reports and more

complex business analytics

Improved data collection substantially. A report file that could not be loaded before can now be loaded in 100 seconds

Experience real-time insight with SAP BW on HANA

100x improvement in report execution 60x improvement in BW query execution

30x improvement in accessing HANA database

30% improvement in data uploading

10x Compression Rate Data compression means huge cost savings

Previously, if a report showed an anomaly, by the time the data had been checked, re-analyzed and a further query designed and executed, the opportunity had vanished. SAP HANA offers new and innovative opportunities to Puig Beauty. With SAP HANA, any anomaly discovered in report generation can be identified and the report can be re-run. Compute time is no longer an inhibitor, and multiple and detailed reports can be run and re-run exactly as the business requires.

PresenterPresentation NotesPuig Beauty is a Spanish company that specializes in production and sales of fragrances, cosmetics and fashion goods. Headquartered in Barcelona, Puig Beauty was founded in 1914 by Antonio Puig, art enthusiast and regular of the artistic circles of his times.

With more than 3,500 employees, a global presence in Europe, the Middle East, South America and the United States, the company has generated revenues of 1.2 billion, with Spain at the core of the business and around 60 percent of its income deriving from international markets. Today, Puig is a leading, award-winning fashion company, and produces luxury goods for world-famous brand names such as Carolina Herrera, Paco Rabanne and Prada.

-------------

PUIG business problems /benefits Focusing on business reporting Simplification of reporting by brand and market More detailed navigation (to the product line) benefit Simplified and easier to use, less time to execute reports benefit

Additional Slides


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


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


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


Yazaki Europe, an automotive supplier and the worlds 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

PresenterPresentation NotesYazaki Europe, an automotive supplier and the worlds 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, said Salim Siddiqi, CIO, Yazaki Europe. So far, we have already seen major improvements and were able to accelerate some 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.


SAP NetWeaver BW on SAP HANA Nongfu Springs


NongFu Springs implemented SAP NetWeaver BW on DB2 in 2008. 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


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

5x to 7x improvement in DSO generation and activation Average report speed on SAP NetWeaver BW queries improved by 5x

to 10x Data storage reduced by 1/3 in BW/HANA than when running in

BW/DB2

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


SAP NetWeaver BW on SAP HANA USHA


USHA migrated their SAP BW-DB2 production system in early 2012 to SAP HANA with data volumes of 750GB. The result: significant data storage savings in SAP HANA; dramatic reduction in inventory over-stock improved sales productivity enabled by faster analysis of secondary sales data and addressable demand


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

PresenterPresentation NotesFrom sewing machines to ceiling fans, USHA International Limited has products in almost every household in India. USHA wants to continue building on this success with timely, market-driven business decisions. But just as Indias demand for consumer products has grown, so has the complexity of running a business that spans a nation of more than 1.2 billion people. To remain ahead of the competition, USHA needed full visibility across this widespread supply chain and the ability to respond rapidly to changing market demands. It also needed faster performance from a business warehouse that had been growing by more than 20% annually in recent years.We have a lot of business data, says Subodh Dubey, Group CIO at USHA International Limited. Yet to take full advantage of this resource, we need high-performance business analytics as well. That means faster data loads and faster query response times. Thats why we chose SAP NetWeaver Business Warehouse powered by SAP HANA to enable lightning-quick data analysis.USHA worked closely with SAP Consulting and SAP Enterprise Support services throughout the implementation process. This partnership helped USHA complete the entire rollout in only four weeks. Today, USHA is using SAP NetWeaver Business Warehouse powered by SAP HANA to gain faster insights and support more effective decision making in operations such as supply chain, procurement, finance, and sales.SAP HANA has significantly improved performance in terms of better data compression, faster data loads, and reduced query response timesenabling USHA to maximize the value of its business data. The ability to quickly analyze secondary sales data and check progress against monthly sales also helps the sales force achieve established targets. Reports on cash-flow and daily sales are now available at the click of a button, added Dubey, and for the first time we have sales visibility down to individual SKU and regional levels.

As we have an international operation, we needed a robust, flexible and reliable that can support our growth. SAP Business One provided all this. It works for us, warning us of what is outside of our business rules. The system allows to automaticallytrack theproduction,from plantingto harvestand to give all legal requirements to the Ministry ofAgriculture. The processes,which previously wasmonths in duration,is nowcompleted in threeor fourdays,practically in real time


SAP NetWeaver BW on SAP HANA Ramp-up Results Lenovo


Lenovo launched their BI Go Live Project in Nov 2011 with SAP NetWeaver BW 7.3 on SAP HANA and BusinessObjects BI 4.0 for reporting across the Global Shipment Process. After a successful implement and pilot, they went live in Mar 2012


Reporting performance (Web Intelligence) improved by to 20x Data in SAP HANA compressed by 24 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 was very convinced by the HANA technology. With quick implementation, we are able turn SAP HANA into 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


SAP NetWeaver BW on SAP HANA Southern California Edison

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 due to slow reporting

Technical Challenge Need to have real-time access and insight into huge

volume of continually changing electric usage data (~2 TB)

Benefits Predictive Analysis focused around forecasting outages,

analyzing usage patterns, and evaluating costs help:

better match supply to demand

keep operating costs in check

provide the most reliable service possible to customers

Better Power Procurement - purchase energy on the spot to accommodate peak usage times

Faster back-ups and restores, easier management and efficiency for IT, and lower data storage hardware costs

SAP NetWeaver BW Powered by SAP HANA helps SCE run better!

Faster data loading Earlier, production BW loads took about 15 hours each night,; with SAP HANA it took about 3 hours 5 x faster,

Faster reporting average reporting time on SAP BW: 90 seconds; SAP BW on HANA: 6.4 sec. 14x faster

Faster CRM queries with a nearly 75% reduction in response times, from about 23 seconds to 6 seconds.

Greater Data compression from the current BW DB2 production environment to BW powered by HANA: 7.5x

PresenterPresentation NotesSouthern California Edison is one of the larger electric utilities in North America. In operation for over 120 years, we serve 14 million customers in a 50,000 square-mile area of central, coastal, and Southern California, including 180 cities

1. For Outage Management our goal is to reduce response times and outage costs, increase customer satisfaction, and quickly analyze up-to-date outage information. An example for us was a recent windstorm in Southern California which caused numerous outage areas and took some time to put back online. If we had the data in a system such as HANA, we may have been able to respond much faster in deploying teams and identifying solutions.

2. Power procurement is a critical function at Southern California Edison. Opportunities to purchase energy on the spot market to accommodate peak usage times must be taken on very short notice. The information and calculations to support these decisions could be obtained much more quickly using SAP HANA with its high-speed memory, massively parallel processors, and built-in calculation functions.

3. Predictive Analysis is an important field at Southern California Edison focusing around forecasting outages, analyzing usage patterns, and evaluating costs. With SAP HANA we can develop better customer segmentation models and do rapid analysis with advanced statistical models, based on extremely large amounts of data. In that way, we can better match supply to demand, keep our operating costs in check, and provide the most reliable service possible to our customers.

4. With Smart Meter Analytics powered by SAP HANA, we see opportunities to better understand consumption behavior, optimize campaign effectiveness, and improve customer energy efficiency. For example, on hot summer afternoons when demand soars, we could test different incentives to customers for turning off the air conditioning and quickly see the results with granularity.

SAP NetWeaver BW: Powered by SAP HANA Customer SuccessSAP NetWeaver BW: Powered by SAP HANAWide Spread AdoptionUNO Bakes to Perfection with SAP Business Planning and Consolidation, Powered by SAP HANASlide Number 4Slide Number 5Slide Number 6Slide Number 7SAP NetWeaver BW on SAP HANAHome TrustNongFu SpringCPG Industry (Bottled water and beverages) Sales ReportingSAP NetWeaver BW on SAP HANAShanghai VolkswagenUsha International Ltd.Consumer Durables Domestic AppliancesLenovoComputer Hardware Improved reporting performance for the BI Reporting landscapeSAP NetWeaver BW on SAP HANA InnogenceSAP NetWeaver BW on SAP HANA Asian Paints Southern California EdisonEnergy consumption forecasting with Smart Meter AnalyticsSAP NetWeaver BW on SAP HANA Merit Energy SAP NetWeaver BW on SAP HANAPUIG S.A. Additional SlidesSlide Number 19Slide Number 20Slide Number 21Slide Number 22SAP NetWeaver BW on SAP HANANongfu SpringsSAP NetWeaver BW on SAP HANAUSHASAP NetWeaver BW on SAP HANA Ramp-up ResultsLenovoSAP NetWeaver BW on SAP HANA Southern California Edison

bw powered by hana_ customer feedback_ final march 2013 (2)

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