IBM Smart Analytics Systems
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1 IBM Smart Analytics Systems Sławomir Wronka Business Development Executive Tallinn,
2 The World Faces an Explosive Growth of Information Volume Every day, 15 petabytes of new information are being generated. Variety 80% of new data growth is unstructured content, generated largely by , images and video Velocity An average company with 1,000 employees spends $5.3 million a year to find its own information. 2 2
3 Customers information challenges that drive demand for Smart Analytics solutions Business leaders An average say they don t company have access with 1,000 to the employees information they need spends to do their $5.3 jobs. million a year to find its own information. 1 in 3 83% Business leaders frequently make decisions based on information they don t trust, or don t have. Source; IBM CIO Study, 2010 Source; IBM CIO Study, 2010 Of CIOs cited Business intelligence and analytics as part of their visionary plans to enhance competitiveness. 1 in 2 Business leaders say they don t have access to the information they need to do their jobs. Source; IBM CIO Study, % Of businesses will look to replace their current warehouse with a pre-integrated warehouse solution in the next 3 years, only 14% have today. Source; TDWI: Next Generation Data Warehouse Platforms,
4 Organisations using analytics for business decisions have better results. Five years period: One year period: % better 12.0% 36% better 15% better 12 x better 10.3% 32.2% 7.7% 8.8% 9.0% 3.8% 20% better 2.5% 15 x better 7.2% 6.0% EBITDA 5-year CAGR, Revenue 5-year CAGR, ROIC 5-year average, EBITDA 1-year change, % -4.1% Revenue 1-year change, ROIC 2009 LEADERS OTHERS Revenue 4 Growth: N = 580; EBITDA: N = 531; ROIC: N = 501; Source: IBM Institute for Business Value, The Global CFO Study
5 Modes Of Operation Have Different Performance Objectives Business Analytics OLTP Complex analytic queries Operational reports with high concurrency Multiple users running transactions concurrently Complete queries in the fastest possible time Achieve maximum throughput Achieve maximum throughput 5 5
6 Fit The Solution To The Workload Business Analytics OLTP Complex analytic queries Operational reports with high concurrency Multiple users running transactions concurrently Competitor s One-Size-Fits-All Database Machine versus IBM Workload Optimized Systems IBM Netezza IBM Smart Analytics IBM Power Systems DB2 + Storwize V7000 with Easy Tier 6 6
7 IBM Workload Optimized Systems Beat The Competitor In Every Category Business Analytics OLTP Complex analytic queries Operational reports with high concurrency Multiple users running transactions concurrently Complete queries in the fastest possible time Achieve maximum throughput IBM Workload Optimized Systems Achieve maximum throughput IBM Netezza x faster 93% Lower cost per report IBM Smart Analytics 4x more concurrent operations 75% Lower cost per report IBM Power Systems DB2 + Storwize V7000 with Easy Tier 1,6x more concurent operations 59% Lower cost per transaction 3 year total 7 cost of acquisition includes hardware, software, service & support. Based on US list prices, prices will vary by country. Performance numbers may vary based on workload profiles. 7
8 Simplicity, Flexibility, Choice IBM Data Warehouse & Analytics Solutions IBM Netezza IBM Smart Analytics System IBM InfoSphere Warehouse True Appliance Flexible Integrated System Warehouse Accelerators Custom Solution Simplicity Information Management Portfolio (Information Server, MDM, Streams, etc) The right mix of simplicity and flexibility Flexibility 8 8
9 Typical architecture of Data Warehouse 9 9
10 Smart Analytics Integrated Solution: Netezza / IBM Smart Analytics = Prostota 10 10
11 IBM Smart Analytical System: Delivering results in days instead of months! Unpack, Install, Implement vs. Plug It In & Go Configure, Design,Test, Develop 11 11
12 Simplicity, Flexibility, Choice IBM Data Warehouse & Analytics Solutions IBM Netezza IBM Smart Analytics System IBM InfoSphere Warehouse True Appliance Flexible Integrated System Warehouse Accelerators Custom Solution Simplicity Information Management Portfolio (Information Server, MDM, Streams, etc) The right mix of simplicity and flexibility Flexibility 12 12
13 Netezza Family Netezza 100 Development & Test System 1 TB to 10 TB Netezza 1000 Data Warehouse High-Performance Analytics 1 TB to 1.5 PB Netezza C1000 High Capacity Queryable Archiving Backup/DR 100 TB to 10 PB 13 13
14 Netezza Appliance Revolutionizing Analytics Purpose-built analytics engine Integrated database, server & storage Standard interfaces Low total cost of ownership Speed: x faster than traditional systems Simplicity: Minimal administration and tuning Scalability: Peta-scale user data capacity Smart: High-performance advanced analytics 14 14
15 Simplicity, Flexibility, Choice IBM Data Warehouse & Analytics Solutions IBM Netezza IBM Smart Analytics System IBM InfoSphere Warehouse True Appliance Flexible Integrated System Warehouse Accelerators Custom Solution Simplicity Information Management Portfolio (Information Server, MDM, Streams, etc) The right mix of simplicity and flexibility Flexibility 15 15
16 What is the IBM Smart Analytics System? IBM Smart Analytics System Accelerate Time To Value with Reduced TCO Gain Competitive Edge Industry's most complete high-performance product for transforming information into business insight 16 3x faster BI Up to 50% less floor space World record performance Analytics ready in days not months (from 6 months to 12 days) Analytics Software Cognos 8 Business Intelligence InfoSphere Warehouse Cubing Services InfoSphere Warehouse Text Analytics & Data Mining Powerful Data Warehouse InfoSphere Warehouse InfoSphere Warehouse Advanced Workload Management Tivoli System Automation Hardware Power, System x, System z IBM Disk Storage System & SDD Services Build, Deploy, Health Check, & Accelerated Value Program set-up services and single point of premium support 16
17 IBM Smart Analytics System - everything what is needed for Business Analytics System z 17 17
18 IBM Smart Analytics System Family Available in System x, POWER System, and System z 5710 Cost effective solutions for analytics and reporting Balance of power and simplicity out of the box Available for mid-market and departments within enterprises System z based offering Advanced query /workload management Database designed and optimized for System z Smart Disk controller, optimized to reduce data latency - Built on Power7 - Solution fro Data warehoused up to 10TB - For poduction and test environment IBM Smart Analytics Optimizer ISAO - System z based offering - Skcalelabilty up to petabytes of data - Optimised DB2 analytical queries - Higly improved performance of the system 5600 R2 System x based technology Designed for business analytics workloads Optional Solid State Device reducing data latency 7700 Based on Power technology Scaling to petabytes of data New 7700 based on POWER7 Processor and includes solid state technologies!
19 IBM Smart Analytics - models Compact Systems - Limited upgrades - Very attractive pricing - Easy installation Modular Systems - Big installations enterprise class - Unlimited upgrades - liniear scalability for modules 19 19
20 IBM Smart Analytics 5710 Software InfoSphere Warehouse Departmental Edition Cognos 10 BI Reporting and Query Studio Operating System Server Disk System Novell SUSE Linux IBM System x 3630 M3 IBM System Storage DS3524 (tylko dla konfiguracji 13.2 TB ) User data capacity 1.5 TB; 3 TB; 13.2 TB Total disk capacity 2.7 TB, 5.4 TB, 24 TB Architecture Pricing 2U ( szafa) Per server ( unlimited users) 20 20
21 IBM Smart Analytics System 7710 Software Operating System AIX 6.1 Smart Analytics System 7710 Enterprise Software - InfoSphere Warehouse Enterprise Server Disk System POWER7 P740 server - 16 core IBM System Storage DS Disk Modules Architecture Models Licencing model Rack-mounted Small 5.7TB User Space / 14,3TB with compression /, 128/256GB RAM, 16 cores 3.55GHz CPU, DS GB Large 11.5TB User Space / 28,7TB with compression /, 128/256GB RAM,16 cores 3.55GHz CPU, DS GB Per server with option for Production, Backup, Non-production usage. High performence and realiability typical for Power technology. Short implementation time
22 Smart Analytics 3 Analytical Models out of the box: Customer Insight 22 Marketing and Market Analysis Descriptions Supply Chain Analysis 22
23 Estonian State Budget Visualized - Bubbles
24 Building the most comprehensive Business Analytics and Optimization portfolio More than $14B in Acquisitions Since 2005 More than 10,000 Technical Professionals More than 7,500 Dedicated Consultants Largest Math Department in Private Industry More than 27,000 Business Partner Certifications Autonomic Operations Developer Productivity Deep Compression purexml Social Analytics/Consumer Insight Pervasive Content purescale Workload Optimized Systems Advanced Case Management Content Analytics Decision Management Stream Computing
25 IBM is leading company in Information Management and Business analytics. Business Intelligence Data Warehouse Data Mining Data Integration Data Quality ETL 25 25
26 Power Analytics New / Refreshed Customer Assets Web refresh: IBM Smart Analytics System Brochure Teaser Video Business Insight At Your Fingertips Feature: Watson White Paper, Website New Customer Case Studies Go Voyages, Chinese Insurance Company, Rotkäppchen-Mumm Sektkellereien 7710 Brochure New Video: See the Future IBM Smart Analytics System New STG cross-brand white paper: Break free from impractical and costly IT solutions
27 ibm.com/smartercomputing Sławomir Wronka Business Development Executive IBM Polska Sp z o.o. Ul. 1 Sierpnia Warszawa Mob: slawomir.wronka@pl.ibm.com 27 27
28 Build Analytics Maturity to Improve Your Business Results Business Optimization How the business applies information to optimize outcomes Reporting is consistent & trusted Standard data definitions and governance BI used widely for reporting & analysis Lack analytical skill sets Tools not optimized for analytics Minimal report standardization Manual work arounds Lots of manual data manipulation Information supports basic operational needs Lots of data, little information Heroic efforts to glean any useful insiight Ad hoc Spreadsheets and extracts Business scenario modeling Prescriptive business measures Business process integration Information is Governed Foundational Competitive Data warehouses and reporting Actionable insights & predictive analytics Preemptive & predictive business management Information deemed strategic asset Differentiating Metrics, dashboards, and scorecards Master data Managing structured, unstructured data Break away Contextual business rules and pattern recognition Content analytics Predictive, real time analytics Information and analytics maturity How the business manages information and learns from it 28
29 IBM Smart Analytics - models Compact Systems Smaller footprints Size limits Non-modular architecture Modular Systems Larger footprints No set limits for size Linear modular scale Enterprise and Analytical Competitors 29 29
30 Smart Analytics Smart Analytics systems grows as your business Obsługa Klientów/zgłoszeń serwisowych Portal samoobsługowy dla klienta Właściwa informacja we właściwym czasie jest dostępna dla odpowiedniego pracownika Działania marketingowe i sprzedażowe aby wypracować trafną decyzję biznesową Zarządzanie środkami obrotowymi i trwałymi Zabezpieczenie przed malwersacjami Planowanie Finasowe Regulacje Prawne 30 Serwisy on-line Optymalizacja łańcucha dostaw 30
31 Smart Analytics IBM Smart Analytics System Transparent modular architecture Choose the way that your data warehouse solution develops. Simply start with any foundation and just add modules as you require. Core Warehouse Modules Application Modules + Foundation Module 1 Module + Data Module User Module Failover Module 1 to x Modules 0 to y Modules 0 or x/5 Modules Warehouse Applications Module Business Intelligence Module Foundation Scalability and Failover BI and Analytics Start with a single Foundation Module, the starting common foundation For additional data handling capacity, number of users or failover functionality, add additional nodes InfoSphere Warehouse and Cognos BI modules
32 IBM Smart Analytics System 5600, 7700 family Enterprise class modular architecture. Analytics Software Options Cognos 8 Business Intelligence InfoSphere Warehouse Cubing Services InfoSphere Warehouse Text Analytics & Data Mining Data Warehouse Software InfoSphere Warehouse InfoSphere Warehouse Advanced Workload Management Tivoli System Automation Hardware/OS IBM System x3650 M3 (for 5600) or Power 740 (for 7700) IBM System Storage DS3500 SLES 10 SP3 (for 5600) or AIX (for 7700) 32 32
33 IBM Smart Analytics choices Models Model XS S M L Non comressed disk space (TB) Compressed disk space (TB) # Management Modules # Admin / User Modules # Data Modules # Failover Modules # BI Application Modules # Data warehouse OLAP modules # RSM # Racks # HA Groups
34 IBM Smart Analytics models Models 7700 Capacity Sizes XS S M L XL XXL # Data Modules Spinning Disk (TB) Available Space after Raid6 formatting (TB) User 55% - no compression (TB) Total User 55% - with 2.5x compression (TB) Each Data Module has Power 740 server with 16 cores, 128GB RAM, Disk space: GB /600GB 34 34
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