September 10-13, 2012 Orlando, Florida. Guidelines for Best-Built Analytic Applications Erica Lailhacar, Director Solution Management at SAP

Transcription

1 September 10-13, 2012 Orlando, Florida Guidelines for Best-Built Analytic Applications Erica Lailhacar, Director Solution Management at SAP

2 Learning Points Introduce SAP Best-Build Applications guidelines Identify specific tools and techniques that you can use for developing Analytic Applications

3 Agenda Introduction to Best-Built Applications (BBA) Guidelines Big Data in Analytic Applications Building Better Analytic Applications, Faster Avoiding Common Land Mines Key Learnings

4 Analytics provide proven return on investments >1000% Organizations earn an average of $10.66 for every dollar spent on deployments of analytics. With such high returns, management teams should consider these technologies to be one of the most attractive investment opportunities available to the CFO Source: Nucleus Research, Analytics pays back $10.66 for every dollar spent, December 2011

5 SAP Provides Excellent HOW-TO Advice According to partner feedback and informal surveys

6 Introducing What-To Guidelines

7 SAP Guidelines for Best-Built Applications The Best-Built Apps Guidelines are: Recommendations from SAP about what SAP technologies you should leverage. Descriptions of what to do rather than how to do it Based on internal standards, best practices, and architecture guidelines used by SAP developers Developed iteratively and incrementally The Best-Built Apps Guidelines are not: Statements of future direction Mandates that developers must follow Download electronic copy for free from

8 Guidelines Developed Iteratively and Incrementally Introduction All guidelines, summarized Application lifecycle management Process orchestration and SOA User interface and user experience Enterprise information management BI tools Application development Governance and security October 2009 October 2009 Revised May 2011 February 2010 Revised Sept Revised Feb 2012 Revised Nov Summer 2010 January 2011

9 BI Platform Guidelines For new development, SAP recommends using the information design tool for universes. SAP does not encourage using the universe design tool for creating universes. When delivering a BI solution, SAP recommends packaging the content as LCMBIAR files. SAP does not recommend using the Import Wizard tool for importing and exporting objects. For a complete list visit

10 BI Tools: Reporting and Analysis SAP recommends using Web Intelligence as a Query and Analysis tool. SAP does not recommend using Desktop Intelligence as a Query and Analysis tool. SAP recommends using SAP BusinessObjects Analysis to interact with multi-dimensional data.

11 BI-DASHBOARDS. SAP does not recommend using Query as a Web Service as a data connectivity method for dashboards. BI Tools: Dashboards SAP does not recommend using Query as a Web Service as a data connectivity method for dashboards. For a complete list visit

12 How do you handle Big Data in Analytic Applications?

13 Information Infrastructure Gathering relevant data and information is a critical step in supporting analytics

14 To HANA, or not To HANA

15 Sybase IQ or HANA Use Sybase IQ Use HANA WARM DATA HOT DATA

16 How can you build better Analytic Applications, faster?

17 Do not start from zero Partner Enter SAP Rapid Deployment Solutions Quickly address specific needs Gain fast time to value with rapid-deployment tools and embedded best practices Leverage Industry and LOB Best Practices Industry-specific Analytic content samples Available for free in SCN Discover our Partner Solutions Front-ends, KPIs, Best practices, ETLs & Data Models built using SAP Technology Domain Expertise

18 Enter SAP Rapid Deployment solutions A complete solution Deployed in weeks Fast Quickly address specific needs Gain fast time to value with seamless rapiddeployment tools, embedded best practices Speed end-user adoption with guides and educational materials Simple Clearly priced services and project time frames help ensure a predictable outcome Modular yet integrated solutions help ensure long-term landscape integrity Support across all environments (on-premise, mobile, and cloud) leveraging the cloud to accelerate projects and deployment

19 Discover rapid-deployment solutions in 3 easy steps 1 Learn more Visit 2 Find your solution 3 Get pricing Access informative videos, demos, and white papers Browse by solution, line of business, or industry Takes minutes to complete

20 What s in each solution? SAP Rapid Deployment solutions Software Quickly address the most urgent business processes Service Fixed scope and price provide maximum predictability and lower risk Content SAP-supported best practices, templates, and tools make solution adoption easier Enablement Guides and educational material speed enduser adoption Core differentiators

21 One example of how rapid is achieved Shortening start, deploy, and run through best practices Traditional project Prep Business blueprint Realization Testing Go live Rapiddeployment solution Start Deploy Run At least a 40% reduction in time and effort compared to traditional project scope Blueprint up to 100% savings Fixed scope Business blueprint ready to use Best-practice processes modeled and described Realization up to 50% savings Best practice processes already configured and documented Delivery through transports and business configuration (BC) sets Operational support documents available Testing up to 30% savings Test-case template supplied Operations-support template available

22 Analytic Content Samples Compelling business scenarios that showcase the capabilities of SAP BusinessObjects BI technology. Include pre-built content that can be customized and extended Free to download and use with SAP BusinessObjects BI tools licenses No SAP support

23 Use Cases available today Analytic Content Samples Solution Name Industry Line of Business City Performance Management Public Sector Administration Quality Management for Healthcare Healthcare Operations Staff Productivity Management for Healthcare Healthcare Human Resources Healthcare Practitioner Spend Analysis and Reporting Life Sciences Operations IP Rights Analysis Media & Sales Entertainment Readiness Assessment for Defense & Security Public Sector Operations Research Funding Analysis for Education and Research Public Sector Administration Claims Optimization for Insurance Insurance Finance

24 Partner-Build Solutions: Portfolio Dashboard Solution Description Industry Niteo BI Pack for TotVS BPC Retail Offers Invoicing, Stocks Position and Stock Replacement Analysis over a top-selling ERP in Brazil BPC starter kit for Financial Planning for the retail industry. Retail (BI) Retail (BPC) BI Accelerator for MSFT Axapta BI Suite &Data Mart for Microsoft Dynamics AX based on Bobj Edge Cross VisualAvenue InfoInsure iready Banking Pharmaceutical WareHouse PAC Consolidation Starter Kit A suite of Performance Management centered on social housing and property mgmt Data Model for Life Insurance industry with Frontends and ETL Analysis and reporting on Financial DataAsset&Liabilities, Loan, Interest Spread, Deposit, and Sales &Mrktg BI Analytic Application, gathering disparate data sources and providing wide performance insight Pre-configured financial app for consolidation based on SAP BPC Property Management Insurance Banking Pharma Cross (BPC) Xioma A.D.S. Universe, reports & dashboards for Automotive dealerships check for more in our dashboard Automotive

25 Show Live dashboard here

26 Common Land Mines

27 Common land mines that blow Analytic Applications apart Incorrect definition of the problem Don t go too broad or too narrow. Data is scattered across the enterprise or too difficult to access Performance or scalability issues Start small. Consider buying versus building. Be careful to choose the right architecture for your application. Low user adoption Engage users early, be prepared to adapt and evolve your application.

28 Best Practices Make sure you know what you are trying to solve Clearly defined issues or questions drive the analysis! Leverage industry and LOB best practices to help you get started Use a combination of tools to cover all the bases Each user has its own information needs Match up the clearly defined question or issue with the appropriate analytical tool(s) Build to Evolve Analysis is a discover driven process users will learn, adjust, want to answer more questions. Your application will need to go through numerous iterations.

29 Key Learnings SAP provides you many tools and guidelines to help you build Analytic Applications Best-built Applications book Free sample content Rapid Deployment Solutions Analytic Applications are not static Be willing to revisit your requirements as users evolve and build your applications on a platform that provides you flexibility

30 Thank you for participating. Please provide feedback on this session by completing a short survey via the event mobile application. SESSION CODE: 0114 Learn more year-round at