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Here are the key steps to enable ad-hoc reporting with relational data using a BusinessObjects universe: 1. Create a BusinessObjects universe that defines the logical data model and relationships between tables/views in the underlying database (e.g. SAP Sybase IQ). 2. Map the universe objects (e.g. tables, columns) to the physical database tables and columns. 3. Define joins, filters and calculations in the universe that simplify querying for business users. 4. Deploy the universe to the BI platform (e.g. SAP BusinessObjects BI 4.1). 5. Business users can then access the universe objects through BI tools like Web Intelligence, Crystal Reports to
Technical presentation
- 1. TEC1227 Complete Business Analyticswith SAP Sybase IQ and SAP BusinessObjects Software Courtney Claussen, SAP Sybase IQ Product Management October 19, 2012
- 2. Disclaimer This presentation outlinesour general product direction and should not be relied on in making a purchase decision. This presentation is not subject to your license agreement or any other agreement with SAP. SAP has no obligation to pursue any course of business outlined in this presentation or to develop or release any functionality mentioned in this presentation. This presentation and SAP's strategy and possible future developments are subject to change and may be changed by SAP at any time for any reason without notice. This document is provided without a warranty of any kind, either express or implied, including but not limited to, the implied warranties of merchantability, fitness for a particular purpose, or non-infringement. SAP assumes no responsibility for errors or omissions in this document, except if such damages were caused by SAP intentionally or grossly negligent. © 2012 SAP AG. All rights reserved. 2
- 3. Agenda SAP BusinessObjects andSAP Sybase IQ Better together What is so cool about SAP Sybase IQ? Some of the key features Proof points Customer stories and Monsta benchmark SAP BusinessObjects integration with SAP Sybase IQ Now and going forward SAP BusinessObjects Analytics Editions A great combination of database, BI and EIM Summary Wrapping it up © 2012 SAP AG. All rights reserved. 3
- 4. SAP BusinessObjects andSAP Sybase IQ
- 5. Make BI pervasivewith SAP BusinessObjects Executives Xcelsius & Manager Trends, graphics & dashboards Business Explorer / Web Analysts Flexible, analytical tools Intelligence “normal” user = information Static, easy- Explorer / Crystal consumers to-use reports Reports Tactical Operational ECC Reports users reporting © 2012 SAP AG. All rights reserved. 5
- 6. SAP BusinessObjects BI4.1 Web Intelligence Dashboards Analysis Crystal Explorer Reports BI Platform Trusted Data © 2012 SAP AG. All rights reserved. 6
- 7. BI Also NeedsSolid Data Foundation © 2012 SAP AG. All rights reserved. 7
- 8. SAP Sybase IQdelivers a solid foundation Web Dashboards Intelligence Analysis Crystal Explorer Reports BI Platform Trusted Data © 2012 SAP AG. All rights reserved. 8
- 9. SAP Sybase IQBig Data Analytics Pervasive across data intensive industries worldwide Stands out as the leading enterprise data warehouse among the largest Manage and analyze Analyze ALL Federal tax Analyze complex models banks, insurance statistical measures for returns in the US in more than 200 agencies, and telecom the entire nation financial institutions operators worldwide of Canada worldwide Store and analyze massive amounts of industry segment data in 30 of the largest information providers in the world, including Transunion, Nielsen and Axiom © 2012 SAP AG. All rights reserved. 9
- 10. SAP Sybase IQ Mature,industrial strength analytic DBMS LEADERSHIP ADOPTION MOMENTUM • Industry leading • 4500+ installations in • 2 x DW market growth performance & scale 2150+ accounts rate (last 4 years) benchmarks • ~200 new customer wins • Fast paced product • Recognized EDW market per year (last 4 years) releases leader by Gartner, Forrester • Consistently 96%+ • v15, v15.1 (2009), v15.2 customer satisfaction (2010), v15.3, v15.4 • Pioneering technology rates (2011) with 10+ patents Ericsson • Sungard • Nielsen • BNP Paribas • Telefonica • hmv.com • comScore • Agricultural Bank of China © 2012 SAP AG. All rights reserved. 10
- 11. SAP BusinessObjects andSAP Sybase IQ #1 BI platform and column-based analytics server SBOP Data Services SAP Sybase IQ SBOP BI Tools SBOP Applications • Data Integrator (ETL) • Column Store • SAP BusinessObjects • Governance, Risk, Compliance • Data Quality Mgmt Analytics DBMS BI Platform Analytics • Data Replication - SAP Crystal Reports • Business Analytics Applications • Text Analytics - Web Intelligence - Banking - Dashboards - Telco -Explorer - Retail -Predictive - Insurance Workbench - Hi-Tech - Public Sector © 2012 SAP AG. All rights reserved. 11
- 12. What is socool about SAP Sybase IQ?
- 13. Column store processor Sybase IQ 1 2 3 4 5 6 7 8 9 … Key characteristics r1 Data is stored vertically — each column is stored separately r2 The data is the index r3 r4 Large page sizes (128 KB–512 KB) r5 Persistent row identifiers Key Benefits Bitmap-driven Unsurpassed concurrent, mixed workload performance, and storage efficiencies Ability of queries and updates to access only referenced columns and pages Single data type and domain per page for significant enhancement of the effectiveness of dictionary-based compression Large page size for better use of today’s disk and I/O subsystems Ability of queries to evaluate multiple predicates on the same table using index-based access methods Bitmaps for significant efficiencies — compact representation, and perfect pre-fetch of rows to avoid cache misses and Least Recently Used (LRU) © 2012 SAP AG. All rights reserved. 13
- 14. SAP Sybase IQ15.4 A complete platform for data analytics Sybase PowerDesigner, Bradmark, SAS, SPSS, KXEN, Sybase Replication Server, Symantec, Fuzzy Logix, BMMSoft, SAP BusinessObjects Whitesands, Quest, Zementis, Visual SOLIX, PBS ISYS, Panopticon ZEND Numerics Optimized BI,EIM, Eco-System Dev and admin tools Predictive Analytics Packaged ILM apps Model, Replicate App. Services Hadoop, DBMS R Comprehensive ANSI Built-in Full InDB Analytics w/ Big Data Web 2.0 APIs SQL w/OLAP Text Search MapReduce + simulator OpnSrc APIs Most mature Comprehensive MPP queries + Virtual Marts High Speed Structured + column store lifecycle tiering + User scaling loads Unstructured Store © 2012 SAP AG. All rights reserved. 14
- 15. In-database analytics OLAP &Time Series Mathematical Statistical Univariate Data Mining • Correlation • Matrix algebra • Descriptive statistics Distributions • Linear regression • LAG, LEAD • Area under curve • Distance measures • Monte Carlo simulation • Logistic regression • Weighted average • Interpolation methods • Hypothesis testing • Univariate distributions • Principal component • Distance measures • Cross tabulation analysis (PCA) • Anova • Cluster analysis • Naive Bayes © 2012 SAP AG. All rights reserved. 15
- 16. In-database analytics performance Total time, in seconds, to load the data from the database and perform the computations © 2012 SAP AG. All rights reserved. 16
- 17. Full text queries Fulltext queries SELECT * FROM myTable WHERE CONTAINS (TextCol, ‘d’); – returns rows SELECT * FROM myTable CONTAINS (TextCol, ‘d’); – returns rows and scoring SELECT * FROM myTable WHERE CONTAINS (TextCol, ‘a AND NOT b’); – Boolean SELECT *FROM myTable WHERE CONTAINS (TextCol, ‘a NEAR b’); – proximity File ingestion into blob, Text Index Full Text Text Load clob TextCol ID Term Pos Info Queries abc 0 a 1,3,4 Text Filtering to plain text, feed 1 b 1,5 Filtering formatting dad 2 c 1 Schema Hierarchical to relational dead 3 d 2,3,4 Visualization beef Transform 4 e 2,4,5 … Entity Categorization … 5 f 2,5 Extraction Tokenization © 2012 SAP AG. All rights reserved. 17
- 18. SAP Sybase IQshared everything MPP architecture Distributed query processing Query 1 Query 2 5 node DQP 4 node DQP SAN Fabric Massively parallel processing • Leader node: Receives and initiates queries, including UDFs – Any node can be a leader, one leader per query, many concurrent leaders possible – Leader node may satisfy query within itself • Worker node: Nodes picking up work units from leader – Many worker nodes per query, same worker node can serve multiple queries – Worker nodes are enlisted only if leader cannot satisfy query on its own © 2012 SAP AG. All rights reserved. 18
- 19. Support different usercommunities with virtual data marts Full Mesh High Speed Interconnect VDM1 SAN Fabric VDM2 Shared – Characteristics – Advantages • VDM can isolate applications, workload, users, • Effective user group assignment to data resources • DQP within VDM boundaries only • Effective workload isolation and partitioning • Dynamic/scheduled resource reassignment b/w • Economical scalability VDM © 2012 SAP AG. All rights reserved. 19
- 20. Accelerate performance withdistributed query processing (DQP) SAP Sybase IQ 15 before PlexQ SAP Sybase IQ 15.3 with PlexQ 4.5x 394 sec 1341 sec 124 sec 51 sec 61 sec 296 sec 17 sec 12 sec 6.5x 7.3x 4.3x 6 TB Watch CoreLogix LoanPerformance SAP Sybase IQ 15.3 with PlexQ guarantees video on YouTube: SLAs now and into the future http://www.youtube.com/watch?v=L8ilR4vrIh0 © 2012 SAP AG. All rights reserved. 20
- 21. SAP Sybase IQHadoop Integration Quest Technology Results and Applications Client side federation ETL Hadoop data into IQ C++/JAVA UDF Federate Hadoop data into IQ Files C++/JAVA UDF Federate Hadoop jobs into IQ © 2012 SAP AG. All rights reserved. 21
- 22. Real world benefitsof SAP Sybase IQ and SAP BusinessObjects #1 BI platform and column-based analytics server • Up to 1000 times faster than traditional relational databases • Critical for ad hoc analyses of large datasets High Performance • Scales to a large number of concurrent users • Can handle the most complex of queries and thousands of users • Compresses data to save on maintenance and storage costs • Minimizes the need for aggregates, indexes and cubes Lowest TCO • No need to tune and optimize each query • Rapid time to value • Industry leader for column-based databases • 4500+ installations in 2150+ accounts Industry Leader • Technology leader with 10+ patents • Leader in Gartner Magic Quadrant and Forrester Wave • Mature product line at 15 years in the market place Proven • 96% customer satisfaction rate Technology • 2x DW market growth rate (last 4 years) • Fast paced product releases with innovative features © 2012 SAP AG. All rights reserved. 22
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- 24. Dramatically improving BItogether DB2 Sybase IQ Oracle Sybase IQ DB2 Sybase IQ Oracle Sybase IQ Hardware DBAs Software Storage REPORTING (3x) ANALYTICS (6x) DISK SAVINGS (50%) SOFTWARE SAVINGS BNP was experiencing TransUnion was able to Spice Telecom was able to (300%) substantial growth in the process more than half a populate a data warehouse Wellmark chose SAP Sybase use of their Web-based billion records each month with with raw mobile and landline IQ as its analytics server to BOBJ reporting application different data formats from call data, analyzing data sets decrease reporting times and and chose SAP Sybase IQ different sources. not previously possible, claims processing, as well as to accelerate online RESULT: achieved enhanced opening access to all centralizing data silos at the transactions. data management, higher departments. enterprise level. RESULT: online customers query speeds, lower costs, RESULT: achieved a 10x RESULT: reduced software generated twice as many and a future-proofed system performance improvement costs by 200-300% and reports 3x faster, freeing up with SAP Sybase IQ. with SAP Sybase IQ. dramatically reduced people OLTP resources. and hardware costs. © 2012 SAP AG. All rights reserved. 24
- 25. Monsta benchmark SAP Co-InnovationLab project: Validate performance and scalability of a large BI deployment deployment capable of sustaining 10,000 concurrent users! Software – SAP BusinessObjects BI 4 as the BI platform and SAP Sybase IQ 15.4 as the reporting database – Application delivery control system from F5 – Continuous energy monitoring and management from OsiSoft Commodity hardware (super micro Twinblades and SuperServers) running on RedHat RHEL 6 Simulated user traffic with Soasta CloudTest. Data: – TPCH Scale Factor 30 (34 GB data) – 4.5 million customers – 300K vendors – 45 million orders and 180 million line items Reports: – 2500, 5000, 10,000 and 25,000 line reports © 2012 SAP AG. All rights reserved. 25
- 26. Hardware available tothe project team Hardware (turned out to be much more than needed!) 80 hosts - 40 Supermicro Twinblades each with 24 core Intel Westmere processor and 96GB RAM - total of 960 core and 3840GB RAM – 12 hosts allocated to SOASTACloud Test Maestro to manage all load generation, load monitoring and reporting – 21 hosts are allocated for SAP Sybase IQ as the reporting DB – The balance of blades allocated to BI4 One Supermicro 2U Super Server with Westmere 40 core and16GB RAM – Dedicated to Sybase ASE as CMS DB © 2012 SAP AG. All rights reserved. 26
- 27. Monsta benchmark results Report refresh time was consistently 6-7 seconds on average under load (3 seconds when the environment was completely idle) and within 19 seconds for 90% of all requests At a load of 10,000 concurrent users, the physical footprint was contained to: – just 10 host machines for the entire BI 4 environment (excluding the File Repository Servers, which in a normal scenario would run on a CMS host) – 10 SAP Sybase IQ servers for the reporting database – 1 SAP Sybase ASE instance. © 2012 SAP AG. All rights reserved. 27
- 28. SAP BusinessObjects integration withSAP Sybase IQ
- 29. BusinessObjects Universe A commonsemantic layer © 2012 SAP AG. All rights reserved. 29
- 30. Pre-requirements for ad-hocreporting with relational data Simple query creation without SQL or database expertise SELECT RESORT_COUNTRY.COUNTRY, BO universe RESORT.RESORT, SUM( INVOICE_LINE.DAYS * INVOICE_LINE.NB_GUESTS * SERVICE.PRICE ) FROM INVOICE_LINE INNER JOIN SERVICE ON ( INVOICE_LINE.SERVICE_ID=SERVICE.SERVICE_I D) INNER JOIN SERVICE_LINE ON ( SERVICE.SL_ID=SERVICE_LINE.SL_ID ) INNER JOIN RESORT ON ( SERVICE_LINE.RESORT_ID=RESORT.RESORT_I D) INNER JOIN COUNTRY RESORT_COUNTRY ON ( RESORT.COUNTRY_ID=RESORT_COUNTRY.COUNTRY_ID ) GROUP BY RESORT_COUNTRY.COUNTRY, RESORT.RESORT © 2012 SAP AG. All rights reserved. 30
- 31. Pre-Requirements for ad-hocreporting with relational data Simple query creation without SQL or database expertise SELECT RESORT_COUNTRY.COUNTRY, BO universe RESORT.RESORT, SUM(INVOICE_LINE.DAYS * INVOICE_LINE.NB_GUESTS * SERVICE.PRICE) FROM INVOICE_LINE INNER JOIN SERVICE ON (INVOICE_LINE.SERVICE_ID=SERVICE.SERVICE_ID) INNER JOIN SERVICE_LINE ON (SERVICE.SL_ID=SERVICE_LINE.SL_ID) INNER JOIN RESORT ON (SERVICE_LINE.RESORT_ID=RESORT.RESORT_ID) INNER JOIN COUNTRY RESORT_COUNTRY ON (RESORT.COUNTRY_ID=RESORT_COUNTRY.COUNTRY_I D) GROUP BY RESORT_COUNTRY.COUNTRY, RESORT.RESORT © 2012 SAP AG. All rights reserved. 31
- 32. SAP Sybase IQ& SAP BusinessObjects Business Analytics Vision Today Tomorrow Best-in-class Certified & Supported Best-in-class Optimized & Differentiated Business Analytics Software Stack Business Analytics Software Platform Single Sign-On Access Control SAP BusinessObjects Analytical Applications SAP Certified and supported across BusinessObjects Analytical Applications Optimization and Differentiation SAP BusinessObjects SAP BusinessObjects Business Intelligence across stack Business Intelligence stack SAP Sybase IQ Analytics Server SAP Sybase IQ From Certification and Support: SAP Analytics DBMS BusinessObjects Data Services Towards a unified out SAP BusinessObjects of the box Business Data Services Analytics Stack Unified global support BENEFITS • Rapid deployment of new analytics applications • Integrated technologies for lower administration and system costs • Leading Performance for Ad Hoc Analysis • Cutting Edge Text Analytics • Handles huge numbers of users Disclaimer: The forward looking statements above represent our current judgment on what the future holds, they are subject to risks and uncertainties that could cause actual results to differ materially. This is not an announcement of product availability. © 2012 SAP AG. All rights reserved. 32
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- 34. Today's world: end-to-endbest-of-breed stack from SAP Operational Data Answers IQ Analytic DBMS Data Sources e.g. SAP Data Integrator SAP Sybase IQ SAP BusinessObjects BI Oracle 11g, IBM DB2, Microsoft SQL Server …. © 2012 SAP AG. All rights reserved. 34
- 35. Now in onecomplete package from SAP Operational Data Answers IQ Analytic DBMS Data Sources e.g. Oracle 11g, IBM DB2, SAP BusinessObjects BI, analytics edition Microsoft SQL Server …. © 2012 SAP AG. All rights reserved. 35
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- 37. SAP Sybase IQ& SAP BusinessObjects Complete Business Analytics Portfolio Answers Data preparation Data Usage IQ SAP Sybase IQ Event Processing Data Warehousing SAP BusinessObjects EIM SAP Business Objects BI Data Modeling / Database Design Tool Value Proposition Each functional area – EIM, DBMS, BI recognized as market leader - An Integrated Best of Breed Stack analyst ratings and customer adoption Acquire - one vendor solution and support Develop - build apps on total system optimized stack Fast ROI, Solution Deployment Deploy – pre-certified, market proven BI stack / apps Sustain - coordinated support, long term commitment © 2012 SAP AG. All rights reserved. 37
- 38. Further Information SAP PublicWeb Download SAP Sybase IQ Express Edition (Free): http://www.sybase.com/iqexpressedition Watch SAP TechEd Online www.sapteched.com/online © 2012 SAP AG. All rights reserved. 38
- 39. Feedback Please complete yoursession evaluation for TEC 1227. courtney.claussen@sap.com Thanks for attending this SAP TechEd session.
Editor's Notes
- #10 Sybase IQ handles big data across many industries worldwide. It is the custodian of very large societal information:All statistical measures in CanadaAll federal tax returns in the USAAll citizen health information in KoreaSybase IQ allows the largest commercial information providers to thrive, including 30 of the largest information providers in the world: Nielsen, Experian, TransUnion, Acxiom, Dun & Bradstreet, Thomson Reuters, TNS Media, …Sybase IQ crunches through the most complex models in the financial world, and is deployed in more than 200 financial institutions : JPMC, HSBC, Goldman Sachs, Alliance Bernstein, Citigroup,CSFB, Etrade, …
- #11 Sybase IQ is a recognized leader in analytics – with a growing customer base and high level of customer satisfaction. Our revenue growth curve has been double that of the general data warehouse marketplace during the last 4 hears. Our performance in certified benchmarks, and recognition as a market leader by Gartner and Forrester have earned us our stripes. Sybase has never sat on its laurels, though, and has continuously improved Sybase IQ with a rapid series of innovations. The last 3 years have seen 5 major releases that have introduced significant new features and capabilities.
- #15 As you can see, Sybase IQ is a comprehensive big data analytics platform.At the foundation layer, we have the most mature column store, ILM, MPP, Virtual data marts, high speed loads, structured and unstructured data handled together.At the application services layer, we provide a rich dialect of SQL, built-in full text search, Web 2.0 drivers, and UDFs for extending IQ capability and integrating with other computing paradigms such as Hadoop and R.And finally, there is an extensive ecosystem of partner technology that integrates with IQ to provide solutions in the areas of predictive analytics, information lifecycle management, business intelligence and administration tools.
- #18 Now let’s look at what kinds of searches I can do against text columns. In the first example, I’m asking to return all the rows and where the term ‘d’ is included in the text column. ‘d’ stands for any word or phrase that you might want to look for.In the second example, I get not only the rows but also a score for how often the term ‘d’ appears in the text column.In the third example, I’m asking to find the text where the term ‘a’ exists in the document when the term ‘b’ does NOT exist.Finally, in the last example, I’m able to find terms within a certain proximity to each other using the NEAR keyword.
- #19 SAP Sybase IQ can take an individual query, break it up into independent fragments, and execute those fragments in parallel on multiple machines. The node that a query is initiated on is the “leader”, and other nodes are the “workers”. Leaders and workers can work on multiple queries at the same time. Distribution to workers occurs only if the query optimizer decides that it cannot handle the query most effectively by itself. Note that distribution requires some overhead, and a query will only be distributed if it can be executed more quickly on multiple machines.
- #22 These different integration methods give the user a variety of choices when combining the power of IQ with the power of Hadoop.
- #26 This whitepaper describes the outcome of an SAP Co-Innovation Lab-enabled project to validate the performance and scalability of a large scale deployment of BI4 capable of sustaining thousands of concurrent users. The SAP BI platform and database technologies were configured to run over a standard enterprise ready open source operating system (RedHat RHEL 6) using commodity hardware (Super micro Twinblades and SuperServers) using an Application Delivery Control system from F5 as well as continuous energy monitoring and management from OsiSoft using its PI server technology. Lastly we generated all of the simulated user traffic with SoastaCloudTest affording the project team the flexibility to dynamically assign load levels and ramp up and yet reveal deep insight into the underlying systems, behaviours and response times based upon the load generated
- #28 This whitepaper describes the outcome of an SAP Co-Innovation Lab-enabled project to validate the performance and scalability of a large scale deployment of BI4 capable of sustaining thousands of concurrent users. The SAP BI platform and database technologies were configured to run over a standard enterprise ready open source operating system (RedHat RHEL 6) using commodity hardware (Super micro Twinblades and SuperServers) using an Application Delivery Control system from F5 as well as continuous energy monitoring and management from OsiSoft using its PI server technology. Lastly we generated all of the simulated user traffic with SoastaCloudTest affording the project team the flexibility to dynamically assign load levels and ramp up and yet reveal deep insight into the underlying systems, behaviours and response times based upon the load generated
- #29 The internal launch of SAP BusinessObjects BI Analytics Editions, was announced today [August 22, 2012]. The SAP BusinessObjects BI Analytics Editions is a complete analytics solution in one simple package. SAP BusinessObjects BI Analytics Editions combine business intelligence and real-time data management, with runtime licenses of Sybase IQ and Data Integrator, together with access to free best practice business content to deliver high performance analytics tailored to industry and line of business needsThe goal of this play is to take the existing BI Platform to a whole new level and establish it as an end-to-end analytics platform and align it with SAP’s real-time data management strategy by including runtime licenses of Sybase IQ and Data Integrator. SAP BusinessObjects BI Solutions, analytics editions are new solutions this play will help introduce to the market. The bundling of the SAP BusinessObjects BI solutions with SAP Sybase IQ and SAP Data Integrator provide an analytics framework for the customer to gain superior analytic performance on big data and have instand and powerful insight all from one complete out-of-the-box offering. The analytics editions of SAP BusinessObjects BI solutions also include samples of best-practice analytics content and use cases tailored for key industries and/or lines of business (LoB). The new solutions this play will introduce to the market to meet the needs of small, mid-market & enterprise customers are: SAP BusinessObjects BI suite, analytics edition SAP BusinessObjects BI platform, analytics edition SAP BusinessObjects BI, Edge analytics edition SAP Crystal Server, analytics edition
- #33 Let us take a look at how we can take a versatile portfolio and improve it significantly.Today, the various modules in the portfolio works very well. In fact, most of them worked very well even before the two companies came together. However, since the acquisition of Sybase by SAP we have moved in to unleash a new wave of innovation to make the complete portfolio even more interesting and valuable.Our direction is very clear. First, we want to ensure that the products and modules within the portfolio continues to work well i.e. they are always certified and supported before they are released thereby providing our customers with a sense of confidence that new releases in any product will always work with other products in the portfolio that may or may not have changed. But this is a given, everyone expects it from us.What we have planned and already commissioned is a series of projects that will provide several cutting edge optimizations at the integration points that will provide customers with tremendous performance, scalability or usability advantages thereby saving time and resourcesWhat’s more, we will go another step further and actually provide seamless integration in various areas that will make the products in the portfolio appear as ‘fused and one’ reducing complexity further.But the benefits are clear as explained earlier – ease of deployment, fantastic performance, scalable to handle lots of users and data, integration to simplify administration, and cutting edge innovations in areas like Text analytics.
- #35 Data Preparation activities traditionally consume about 70% of the time and resources for analytics projects and include extracting, transforming, cleansing and loading data, and ensuring adequate data quality processes: SAP Data Integrator rapidly cleans, transforms and loads data from a variety of database sources.Data Management activities consist of designing schemas, determining data storage architecture (i.e. near-line, archival storage), optimizing data access, managing workload performance, and maintaining operational efficiency: SAP Sybase IQ stores, efficiently manages massive volumes of data, no matter the schema, the application needs or the user counts. With compression algorithms reducing volumes of stored data by up to 70% customers have a low startup and long-term TCO — less storage and maintenance resources = more money for the bottom line.Data Analysis relates to decision-making activities, including reporting, data mining, ad hoc analysis, and just-in-time decision-making. Data analysis is completed by various users from a wide range of tools and types of algorithms or queries: SAP BusinessObjects BI solutions enables reporting, dashboarding, discovery and analysis.
- #36 Having earned leader status in their respective Gartner Magic Quadrants, each of the SAP products are now integrated into a complete end-to-end business analytics solution. Together they provide a unique and integrated set of best-of-breed tools for data integration, data management and data analysis/business intelligence.
- #38 Data warehousing and analytics is not easy. Organizations are willing to go the extra step to string together the various pieces needed starting from data identification to cleansing to loading to managing to reporting/analysis. However, the task is quite daunting when all of these pieces need to be top notch and most often come from different vendors with different levels of integration with each other.Isn’t it great that now between Sybase and SAP BusinessObjects we are able to offer the complete ‘best-of-breed’ stack to our customers without the complications of multivendor acquisition, integration, deployment, and sustenance.With the combination of Sybase IQ and SAP BusinessObjects portfolio we are now able to overcome all of the above issues making it easier to acquire, develop, deploy, and sustain a sophisticated, capable, and valuable Business Analytics solution stack that provides, we would argue, the best ROI in the industry.