IBM Information Management Overview

Transcription

1 Reto Cavegn, IBM Softw are Group Schw eiz September 6, 2012 IBM Information Management Overview Tech Data Truck Day Information Management

2 Information is at the center of a new wave of opportunity Information is exploding Capitalizing on information has challenges and opportunities 44x 37% Organizations paying 37% more for their data management environments digital data growth through zettabytes 1 in 3 Organization leaders frequently make decisions based on information they don t trust, or don t have ,000 petabytes 2 Sources: Cost/Benefit Case for IBM DB2 Advanced Enterprise Server Edition and InfoSphere Optim Operational DB A Tools Comparing Costs and Cap abilities with Oracle Database 11g; International Technolog y Group, Santa Cruz, California; January 2012 The Guardian, May 2010 IBM IBV/MIT Slo an Manag ement Review Stud y Copyright Massachusetts In stitute of Technolog y % Organizations competing on analytics substantially outperform their peers

3 IBM Information Management helps organizations: Reduce Data Management Costs Increase Business Confidence in Information Accelerate Analytics and exploit Big Data 3

4 Reduce data management costs Data management challenges: Consolidate database environments, e.g. 20 SAP databases into one Integrate Analyze Content Analytics Deliver transparent scalability, e.g. scaling retail systems data 100x for 6 weeks a year to meet demand Manage Data Master Data Data Warehouse Big Data Cubes Streams Manage the lifecycle of data from creation to retirement, reducing 48% of total storage costs Content Streaming Information Quality Govern Security & Privacy Lifecycle Standards 4

5 IBM database software Informix::Set It and Forget It Optimized for high availability Near hands-free administration Sophisticated support for managing time stamped data soliddb: In-Memory Database Software for Extreme Speed Optimized to accelerate OLTP workloads up to 10X Database Innovations DB2::Lower Operational Costs Top performance for OLTP and analytical workloads Lower administration, storage, development, and server costs 5 IMS: Highest Performance Application and Database Software for System Z Optimized for transactional and hierarchical OLTP workloads Highest levels of performance, scalability, and reliability

6 For transactional workloads, IBM is the clear choice DB2 on Power Systems IBM DB2 Advanced Enterprise Edition can be as low as 1/3rd the price* of Oracle Database DB2 on POWER is up to 3X performance per core** of Oracle Database on SPARC Breakthrough migration technology delivers up to 98% compatibility*** with Oracle PL/SQL * PRICE based on price per core of comparable hardware and publicly avail U.S. info on 11/11/2011 for IBM DB2 Advanced Enterprise Edition + Oracle software w/comparable capabilities. Price comparison is NOT based on the specific benchmarks listed here. IBM: 100 Processor Value Units. Oracle: assumes 1.0 processor multiplier. Both incl. Y1 maint/support. ** PERFORMANCE: ( as of 11/11/11 [IBM Power 780 (3 x 64 C)(24 Ch/192 C/768 Th); 10,366,254 tpmc; $1.38/tpmC; avail 10/13/10 v. Oracle SPARC SuperClusterw/T3-4 Servers (27 x 64 C)(108 Ch/1728 C/13824 Th); 30,249,688 tpmc; $1.01/tpmC; avail 6/1/11]. TPC-C is a trademark of Transaction Performance Processing Council. ( as of 11/11/11 [IBM Power 795 (32 P/256 C/1024 Th); users/2-tier SAP ERP 6.0 pack4/aix DB2 9.7; cert v. Oracle SPARC Enterprise Server M9000 (64 P/256 C/512 Th); users/2-tier SAP ERP 6.0/Solaris 10, Oracle 10g; cert ]. SAP is registered trademark of SAP AG in Germany and in several other countries. *** COMPATIBILITY: Based on internal tests and reported client experience from June 30, 2010 through July 20,

7 For SAP workloads, IBM is the clear choice DB2 for SAP on Power Systems As much as 25%-50% reduction in applicable infrastructure costs when moving to DB2 SAP customers have reported 40-60% storage volume reduction with DB2 deep compression A number of customers saved up to 30% over Oracle for SAP database administration COST REDUCTIONS based on actual customer case studies. See IBM DB2: Optimized for SAP software. All client ex amples cited or described are presented as illustrations of the manner in which some clients have used IBM products and the results they may have achieved. Actual environmental costs and performance characteristics will vary depending on individual client configurations and conditions. STORAGE VOLUME REDUCTIONS and DATABASE ADMINISTRATION SAVINGS based on actual customer case studies. 7

8 Announcing DB2 10 and InfoSphere Warehouse 10 Save time and money, deliver top performance, and increase team productivity for a new generation of applications and real-time operational analytics Save Time and Money Adaptive Compression provides breakthrough storage savings Multi-Temperature Data Management enables the optimization of storage Lower cost than Oracle Database, with 98%+ PL/SQL compatibility making it easy to switch 1 Deliver Top Performance Up to 3.3x faster performance 2 Deep exploitation of hardware to maximize efficiency DB2 purescale offers superior scale-out efficiency and simplicity vs. Oracle RAC Continuous Ingest of data optimizes real-time decision making Increase Productivity Connectors for Big Data such as Hadoop, Streams, and Netezza Built-In Time Travel Query enabling faster historical and trend analysis Support for public and private cloud environments Support for NoSQLdata like Native XML and Graph RDF Triples 1. Based on testing of seven separate client projects. Results obtained with DB Based upon internal tests on comparable platforms for data warehouse and decision support workloads. 8

9 For information lifecycle management, IBM is the clear choice InfoSphere Optim Database archiving and test data management to decrease infrastructure costs Data growth management to improve application performance Application retirement to comply with retention regulations 9

10 InfoSphere for information lifecycle, security and privacy Complete solution to manage, protect and secure data throughout its lifecycle reducing costs and risks while improving application performance and meeting compliance mandates Products InfoSphere Optim InfoSphere Guardium Lifecycle Management Test Data Management Improve application performance Data Growth Management Application Retirement Security & Privacy Data Masking Database Activity Monitoring Data Encryption Assess Database Vulnerabilities Compliance Data Redaction 10

11 For reducing data management costs, IBM is the clear choice American Electric Power retained 50 years of GL data from legacy financial systems using Optim and complied with industry regulations. Coca Cola moved to DB2 on Power Systems to improve performance, scalability, and efficiency of its SAP environment. Retired 25+ applications and consolidated multiple PeopleSoft instances Passed SOX audit with repeatable assets Increased operational system performance and decreased expenses Projected 5 year savings of $750k Realized 40% reduction in database size Better performance up to 65% faster Reduced workload for IT staff Banco de Crédito del Perú moved to DB2 to reduce costs and improve performance of its custom and SAP applications. 50% savings in data management costs 45% less storage Lower software license and maintenance costs 11 IBM Client Case Study: CCBC IBM Client Case Study: Banco de Credito del Peru

12 Improve business confidence in information Information integration and governance challenges: Master a single version of the truth across all information maintained in 50 applications, without rip & replace Integrate and transform data and content, spending 10x less time on custom coding for every source Spend 5x less time on crossapplication compliance with data privacy laws Manage Data Content Streaming Information Quality Integrate Master Data Data Warehouse Govern Analyze Content Analytics Security & Lifecycle Privacy Standards Big Data Cubes Stream 12

13 For data integration and data quality, IBM is the clear choice InfoSphere Information Server Rich support for collaboration across business and IT roles to increase productivity Customizable, pre-configured data warehouse models, systems & appliances to accelerate time to value Scalability for reduced overall costs Enterprise-class transformation and quality control to increase confidence with high quality information Sourc e: Forrester TEI Study, October

14 Information Integration for Analytics and Data Warehousing: a single platform unified by a common metadata layer Integrating and transforming data and content to deliver accurate, consistent, timely and complete information Products Understand Blueprinting Automated Discovery Business-to-IT term glossary Cleanse Standardization Matching Information Analysis 14 InfoSphere Information Server InfoSphere Foundation Tools Transform Extract, transform, load Job visualization Deliver Application Connectivity Packs Replication Information as a Service

15 For master data management, IBM is the clear choice InfoSphere Master Data Management Pre-built and flexible MDM functionality for rapid integration Proactive, event driven architecture with hub-centric approach to address the most critical MDM challenges Seamless scaling to address growing data volumes Multiple deployment options for rapid time to value Real-time data quality controls and synchronization Intuitive stewardship capabilities to save time 15

16 For data security and privacy, IBM is the clear choice InfoSphere Guardium Data-focused security and monitoring to reduce cost of compliance and risk of privacy breaches Data masking and data encryption to protect sensitive data and ensure compliance Data redaction to automatically recognize and remove sensitive content from documents and forms 16

17 For increasing business confidence in information, IBM is the clear choice 3 reduced data integration project complexity while increasing trust and understanding of the available information used in their analytics. Major multi-national financial institution eliminated 6 legacy customer file silos to better enable new processes using MDM. Aviva UK Health strengthened PCI and data privacy compliance, safeguarding credit card sales, and protecting brand integrity. 50% reduction in time to create ETL jobs Estimated 75% reduction in information infrastructure Increased trust in data warehouse reporting Reduce IT system cost by $25 million 250 million active customer records and 1 billion historical customer records Supports over 60 million daily mission critical transactions Satisfied compliance requirements Avoided costly fines and protected sensitive customer data Redaction results achieved a 97% average accuracy rate in redaction results. 17

18 Accelerate analytics and exploit big data Big data analytics challenges: Accelerate and simplify the complexities of enterprise analytics while facing 50% YtY growth in data warehouse size Tap into new sources such as streaming data and social media, at rates of 11M messages per second Handle uncertainty around format variability and velocity of data Manage Data Content Streaming Information Quality Integrate Master Data Data Warehouse Govern Analyze Content Analytics Security & Lifecycle Privacy Standards Big Data Cubes Stream 18

19 What is big data? Big Data technologies describe a new generation of technologies and architectures, designed to economically extract value from very large volumes of a wide variety of data, by enabling high velocity capture, discovery and/or analysis. Source: Matt Eastwood, IDC Sourc e: Matt Eastwood, IDC 19

20 Where is this data coming from? Volume Velocity Variety 12 terabytes of Tweets create daily Analyze product sentiment 5 million trade events per second Identify potential fraud 100 s video feeds from surveillance cameras Monitor events of interest 350 billion meter readings per annum Predict power consumption 500 million call detail records per day Prevent customer churn 80% data growth are images, video, documents Improve customer satisfaction 20

21 What can you do with big data? Financial Services Fraud detection 360 View of the Customer Utilities Weather analysis Smart grid management Transportation Logistics optimization Traffic congestion IT System Log Analysis Cybersecurity Health & Life Sciences Epidemic early warning ICU monitoring Retail 360 View of the Customer Real-time promotions Telecommunications Geomapping / marketing Network monitoring Law Enforcement Multimodal surveillance Cyber security detection 21

22 IBM Big Data Platform: moving analytics closer to the data New analytic applications drive the requirements for a big data platform BI / Reporting Analytic Applications Exploration / Visualization Functional App Industry App Predictive Analytics Content BI / Analytics Reporting Integrate and manage the full variety, velocity and volume of data Apply advanced analytics to information in its native form Visualize all available data for ad-hoc analysis Development environment for building new analytic applications Workload optimization and scheduling Security and Governance Visualization & Discovery Hadoop System IBM Big Data Platform Application Development Accelerators Stream Computing Systems Management Data Warehouse Information Integration & Governance 22

23 IBM Big Data Platform: moving analytics closer to the data Netezza Customer Intelligence Appliance Netezza Network Analytics Accelerator BI / Reporting Analytic Applications Exploration / Visualization Functional App Industry App Predictive Analytics Content BI / Analytics Reporting IBM Big Data Platform Visualization & Discovery Application Development Systems Management InfoSphere BigInsights Accelerators InfoSphere Streams Hadoop System Stream Computing Data Warehouse Netezza Smart Analytics Systems InfoSphere Warehouse Information Integration & Governance InfoSphere Information Server 23

24 Big Data: a new era in data exploration and utilization Big Data in Real-Time Ingest, analyze and act on massive volumes at ultralow latencies. Faster AND cheaper 10x volume of data on the same hardware Fit for purpose analytics Designed to analyze a variety of data types, in their native format. Capabilities include: video, audio, text, time series, geospatial & more. InfoSphere BigInsights InfoSphere Streams Enterprise Class Open source enhanced for the enterprise Reliability, performance & security Accelerators for speedier deployment End users, admin and development UIs designed for ease of use 24

25 For data warehousing, IBM is the clear choice Netezza for Deep Analytics: Deliver insights in minutes not hours. Petabyte scale appliance: database, server and storage As low as 1/6 the price of Oracle Exadata. 4 out of 5 clients who try Netezza, buy Netezza. Smart Analytics Systems for Operational Analytics: Supporting 100s to 1000s of users/second Out of the box BI & Data Warehouse Terabyte pricing Available on Power, x, and z Systems Entry Price Models available at very low prices PRICE co mparison based on publicly available information as of 11/11/2011 for an Oracle Exadata X2-2 HP Full Rack and a full rack of Netezza TwinFin. The cost to acquire Netezza can be as low as 1/6 of Exadata if a client is acquiring new Oracle database licenses and as low as 1/2 if using existing Oracle database licenses. 25

26 For big data, IBM is the clear choice Enterprise Class Platform Fit for purpose analytics Big Data in Real-Time Open source enhanced for reliability, performance and security. Integrated capabilities including Hadoop, stream computing and high performance data warehouses. Ease of use with end users, admin and development UIs. Analyzes a variety of data types, in their native format text, geospatial, time series, video, audio & more. Ingest, analyze and act on massive volumes of streaming data. Faster AND more cost-effective for specific use cases. Integration Fits into existing Information Management architecture. Pre-integrated analytic applications. 26

27 For accelerating analytics and exploiting big data, IBM is the clear choice MicroAd uses statistical analysis and behavioral scoring to enable precise targeted marketing and increase click rates.. Vestas Wind Systems analyzes 2 PB of weather data to ensure optimal turbine placement using BigInsights. Reduced analysis time from hours to minutes a 95% improvement Higher click rates with personalized ads in real time Achieved one-to-one marketing approach Ensure extended service life of turbine. Increase power generated per turbine. Reduce modeling time from weeks to hours. University of Ontario Institute of Technology s neonatal monitoring uses Streams to enable caregivers to deal with complications sooner. Data is captured by monitoring devices up to 1,000 times per second. Detect infections up to 24 hours before infants exhibit symptoms. Improve quality of care and reduce cost. 27 IBM Client Case Study: MicroAd IBM Client Case Study: Vestas Client Video IBM Client Case Study: UOIT

28 IBM Information Management The clear choice for improved IT economics and higher business value Most Complete Comprehensive, integrated portfolio Most Flexible Open offerings tailored to the needs of key workloads Flexible Enterprise License Agreements Highest Value Most Innovative For Deep Analytics (Netezza) For Operational Analytics (Smart Analytics System) For Transactions (DB2) For Time Series (Informix) For SAP (DB2 for SAP) For Information Integration & Governance (InfoSphere) For Big Data & Warehousing (BigInsights, Streams, Warehouse, Netezza) #1 patent rankings position for 18 years in a row Most Momentum 28 Accelerating major Oracle Database to DB2 migrations Netezza and IBM Smart Analytics System outselling Oracle Exadata InfoSphere leading every area of Information Integration & Governance

29 Reto Cavegn Senior IT Specialist IBM Software Group IBM Switzerland Ltd. Vulkanstrasse 106 P.O. Box CH-8010 Zürich Mobile