zday 2010 Smart Analytics Grzegorz T. Kolecki, Sales Leader zim, IBM CEE Information Management 2010 IBM Corporation

Transcription

1 zday 2010 Smart Analytics Grzegorz T. Kolecki, Sales Leader zim, IBM CEE Information Management

2 Trademarks The following are trademarks of the International Business Machines Corporation in the United States and/or other countries. IBM* IBM Logo* DB2* Dynamic Infrastructure* GDPS* HyperSwap InfoSphere Parallel Sysplex* RACF* System z* System z10 Tivoli* z10 z10 BC z/os* z/vm* z/vse * Registered trademarks of IBM Corporation The following are trademarks or registered trademarks of other companies. Adobe, the Adobe logo, PostScript, and the PostScript logo are either registered trademarks or trademarks of Adobe Systems Incorporated in the United States, and/or other countries. Cell Broadband Engine is a trademark of Sony Computer Entertainment, Inc. in the United States, other countries, or both and is used under license therefrom. Java and all Java-based trademarks are trademarks of Sun Microsystems, Inc. in the United States, other countries, or both. Microsoft, Windows, Windows NT, and the Windows logo are trademarks of Microsoft Corporation in the United States, other countries, or both. INFINIBAND, InfiniBand Trade Association and the INFINIBAND design marks are trademarks and/or service marks of the INFINIBAND Trade Association. Intel, Intel logo, Intel Inside, Intel Inside logo, Intel Centrino, Intel Centrino logo, Celeron, Intel Xeon, Intel SpeedStep, Itanium, and Pentium are trademarks or registered trademarks of Intel Corporation or its subsidiaries in the United States and other countries. UNIX is a registered trademark of The Open Group in the United States and other countries. Linux is a registered trademark of Linus Torvalds in the United States, other countries, or both. ITIL is a registered trademark, and a registered community trademark of the Office of Government Commerce, and is registered in the U.S. Patent and Trademark Office. IT Infrastructure Library is a registered trademark of the Central Computer and Telecommunications Agency, which is now part of the Office of Government Commerce. * All other products may be trademarks or registered trademarks of their respective companies. Notes: Performance is in Internal Throughput Rate (ITR) ratio based on measurements and projections using standard IBM benchmarks in a controlled environment. The actual throughput that any user will experience will vary depending upon considerations such as the amount of multiprogramming in the user's job stream, the I/O configuration, the storage configuration, and the workload processed. Therefore, no assurance can be given that an individual user will achieve throughput improvements equivalent to the performance ratios stated here. IBM hardware products are manufactured from new parts, or new and serviceable used parts. Regardless, our warranty terms apply. All customer examples cited or described in this presentation are presented as illustrations of the manner in which some customers have used IBM products and the results they may have achieved. Actual environmental costs and performance characteristics will vary depending on individual customer configurations and conditions. This publication was produced in the United States. IBM may not offer the products, services or features discussed in this document in other countries, and the information may be subject to change without notice. Consult your local IBM business contact for information on the product or services available in your area. All statements regarding IBM's future direction and intent are subject to change or withdrawal without notice, and represent goals and objectives only. Information about non-ibm products is obtained from the manufacturers of those products or their published announcements. IBM has not tested those products and cannot confirm the performance, compatibility, or any other claims related to non-ibm products. Questions on the capabilities of non-ibm products should be addressed to the suppliers of those products. Prices subject to change without notice. Contact your IBM representative or Business Partner for the most current pricing in your geography.

3 Data Growth is Exploding Volume of Digital Data Variety of Information Velocity of Decision Making By 2014, more than three billion of the world s adult population will be able to transact electronically via mobile and Internet technology. Source: Gartner - Gartner Top End User Predictions for 2010:, Mar 2010 By 2013, mobile phones will overtake PCs as the most common Web access device worldwide. Source: Gartner - Gartner Top End User Predictions for 2010:, Mar 2010 Through 2017, data volumes will grow exponentially, while CPU capacity will increase only geometrically. Source: Gartner, The High Performance Data Warehouse Bigger or Better, Not Always Both, Feb 2010 Yet businesses still struggle Lack of Insight 1 in 3 managers frequently make critical decisions without the information they need Inefficient Access 1 in 2 don t have access to the information across their organization needed to do their jobs Inability to Predict 3 in 4 business leaders say more predictive information would drive better decisions Source: IBM Institute for Business Value

4 Market Dynamics Are Shifting Troubled economy Do more with less business & IT Economies of scale/consolidation BI Strategic Asset/Mission Critical Broader, more intense users High availability & performance expectations Access to more data Corporate regulatory compliance driving security Environmental concerns IBM: 2009 CIO survey results CIOs select their ten most important visionary plan elements 75% of CIOs anticipate moving to a strongly centralized, shared infrastructure to improve economies of scale 83% say Business Intelligence & analytics - is their top focus area

5 Information Is Isolated - Yesterday s Data Warehouse Information in the DW is limited to a small number of people in the organization Tools to extract information are targeted at highly technical people Little to no interactivity with other systems Not built with the same criteria as the operational systems Much of the information to drive the business is known but not available to the decision makers. Only 8.2% of the employees of a typical organization regularly use BI applications Source: The BI Survey 8, Gartner, 03/09

6 Imagine If Your Decision Makers Could predict and treat high-risk patients to proactively intervene at time of visit? identify suspects based upon initial witness information on arrival at scene? provide targeted cross sells that drive additional sales when offered at time of sale? predict correct order levels at time of purchase? Physician Police Detective Retail Sales Manager Purchasing Agent optimize every transaction, process and decision at the point of impact, based on the current situation, without requiring that everyone be an analytical expert 6

7 The Power to Be More Competitive With Information Coupling The Operational System with the Decision System Enabling Operational Decisions At the time of decision In context Up-to-the-moment information No extra tools Decision Systems Customer History Behaviors Affinities Operational Systems Purchase Trends Customer Order Quantity Price In Stock Embedded into the operational application!

8 Faster decision making is driving better performance Selling fish while still at sea Fishermen selling their catch before they arrive in port, evaluating the market for each type of catch and focusing their efforts on the best return Rescheduling passengers still in the air Airline rebooking passengers onto new flights based upon business impact, that will not be able to connect because of a late flight more pervasive BI and analytics have a direct impact on competitiveness Source: IDC Dan Vesset, The Road to BI Success, Jan 2010

9 Wide Gap Between Current and Desired in 2 Yrs Current/Desired New Intelligence Capabilities Profile (Large Enterprise, n=211) Management and Use of Information Currency of Information Extent of Information Integration Across entire organization Across depts. but within BUs Within individual departments 22% 50% 28% Current Gap 61% 83% 10% 7% Desired Future Real time Days old Weeks/months old 23% 48% Gap 55% 78% 29% 18% 5% Current Desired Future Highly integrated across company Siloed, single version of truth created manually Siloed, multiple versions of the truth 14% 51% 35% Current Gap 70% 84% 11% 5% Desired Future Information Governance Policies and Practices Breadth of Information Access Type of Analytic Capabilities Exists with standards across the enterprise Exists somewhat, but no enterprise standards Does not exist 36% 56% Gap 52% 88% 8% 4% 8% Current Desired Future Role based w/in company and external partners/supplie rs Role based w/in the company Among analysts/ database admins. only 21% 67% 12% Current Gap 50% 71% 26% 3% Desired Future Strategic Intelligence Business Intelligence Basic search, query and reporting 15% 56% 29% Current Gap 67% 82% 14% 4% Desired Future Source: NI Communications Research September 2009: Contact: Sheila Thompson, Ph.D. MI Custom Client Research, sheila thompson/markham/ibm@ibmca

10 IBM Data Warehouse and Business Intelligence Solutions MDM Server Cognos 8 BI DB2 for z/os Industry Models InfoSphere Warehouse Information Server

11 Data Warehouse/BI Basics - 4 stages between Data and Information Present Transform/ Optimize Store Warehouse Cubin g Acquire ETL Data Quality ELT Replication EAI EII Operational Source Systems Structured/ Unstructured Data Where does your system fit? Operational Applications

12 The Changing Data Warehouse Market The data warehouse is a mission-critical system, with data warehouses serving in an increasingly mixed workload capacity, including as a data source for online applications. "Deep mining analysts and business analysts are running less-structured but equally complex queries and fast running tactical queries, each with differing service-level expectations. These differing workloads are all competing for CPU, memory and disk access. At the same time, data latency continues to progress from batch to continuous loading demands. Publication Date: 23 December 2008/ID Number: G ; 2008 Gartner, Inc. and/or its Affiliates. All Rights Reserved.

13 Business Requirements Have Changed and again require highest Quality of Service According to Gartner: Fewer than 15% of data warehouses in 2007 have been designed to provide high availability, failover, disaster recovery and the remaining components of mission-critical systems. The mixed workload performance will become the single most important performance issue in Data Warehousing Over 60% of current data warehouses fail when attempting to deliver in-line operational BI and Analytics Resulting in lost revenue or increased costs. System z is again at the forefront Proven reliability and continuous availability capabilities Industry leading workload management capabilities Exploiting synergic effects of proximity to the operational data

14 Industry Trends that Favor the System z Platform Cost efficiencies of a consolidated, virtual environment Reduced: labor costs, energy consumption, data center footprint Improved: ability to manage operations, upgrades, performance Mixed workload environments and operational business intelligence When warehouse and analytics become more operational, System z platform qualities of service become more critical: Availability, Reliability, Security Compliance pressures Centralized data can dramatically improve ease of data governance by reducing the number of servers and copies of data to be managed Single version of the truth

15 IBM Smart Analytics System A Broad Range of Analysis, Dashboards & Reporting Pre-optimized Business Intelligence Software triples out of the box performance* * Based on IBM Laboratory Tests. Actual results may vary depending on specific environment and configuration. 15

16 IBM Smart Analytics System 9600 Unprecedented Value in Deploying New Business Analytics What is it? The IBM Smart Analytics System 9600 is an integrated solution of hardware, software and services that enables customers to rapidly deploy cost effective game changing analytics across their business. How is it different? Secure, Available Business Analytics Rapidly delivers analytic information to decision makers at the time of decision. New environment for the availability, reliability and scalability necessary to stay aligned with the operational systems Simplified administration Appliance-like delivery Faster deployment at lower cost. Leverages customers existing disaster recovery, and backup processes Proven Operational Characteristics Extends the qualities of service of System z. Reduces risk through extending System z manageability and security across the entire system. High Value Operational BI Cost effective way to drive daily operational decisions Delivering business results in days, not months

17 IBM Smart Analytics System 9600 High Value Dynamic Warehousing System z InfoSphere Warehouse Cognos 8 BI Data Warehouse Cubing Services Powercube Services ELT DB2 for z/os VUE (option for MLC) Implementation Services Operational Source Systems Structured/ Unstructured Data DB2 Utilities Suite Image Copy, LOAD, UNLOAD, REORG, etc

18 IBM Smart Analytics System Pre-Set Configurations Sized to Meet Business Requirements Data Capacity Sizing PART A- DB2 BASE Amt Usable Disk* 250TB 125TB 62TB 30TB 10TB Amt User Data* 100TB 50TB 25TB 12TB 4TB *Usable = Disk for compressed table data, indexes, work files, MQTs etc. *User Data = Raw, uncompressed, user data

19 IBM Smart Analytics System Pre-Set Configurations Sized to Meet Business Requirements BI Capacity Sizing PART B- Cognos Workload Named Users Max Concurrent Users 10,

20 Choosing A Deployment Style Standalone Delivery Server delivered in appliance-like fashion Virtual Upgrade Delivery Capacity delivered as a bolton to existing server(s) or as new server(s) depending on customer needs in a virtual appliance-like fashion

21 Scales for Your Unique Needs Deployed in scalable increments to match each type of need Rapidly & easily add new capacity as information & new analytic capabilities grow Rapidly & easily add new users as business needs expand Building blocks for each growth increment

22 Proven Ability to Handle Mixed Workloads The System z WLM is the most mature and sophisticated workload manager available today Granular WLM policies provide improved performance for mixed workloads Queries Completed / minute Throughput Effects 3 x Triv.Mod/ Med Large Policy: Equal Priority WLM Policy in effect Avg Response Times Triv. Mod Med Large 0 Moderate/ Med /Large Response Time Effects Policy: Equal Priority 88% + faster Triv small mod l Large WLM Policy in effect

23 Faster Time to Value Results in Days Versus Months June Build from Scratch Jan. Pre-Built 5 Testing & Validation Installation 4 & Configuration Faster Results Less Risk Acquire 3 Components Pre- 2 implementation System Sizing Jan. Months Days

24 IBM Smart Analytics Optimizer Capitalizing on the best of relational and the best of columnar databases What is it? The IBM Smart Analytics Optimizer is a workload optimized, appliance-like, add-on, that enables the integration of business insights into operational processes to drive winning strategies. It accelerates select queries, with unprecedented response times. How is it different Performance: Unprecedented response times to enable 'train of thought' analyses frequently blocked by poor query performance. Integration: Connects to DB2 through deep integration providing transparency to all applications. Self-managed workloads: queries are executed in the most efficient way Transparency: applications connected to DB2, are entirely unaware of the accelerator Simplified administration: appliancelike hands-free operations, eliminating many database tuning tasks Breakthrough Technology Enabling New Opportunities

25 Orders of Magnitude Faster for Queries Beta Customer Results For customers who have struggled with gaining the required performance out their complex queries of full table scans, multiple compares, and complex logic the results are astounding!... and its acceleration factor : : Runtime of queries w/o ISAOpt 163 s 2311 s 25 s 1593 s Factor 35 s 4 8s 5435 s s with ISAOpt 3s 5s 2s 8s 25

26 Momentum with DW & BI on System z Miami Dade County standardized on Cognos 8 BI for System z to meet increasing BI requirements they took only 11 days to migrate from their distributed servers Mortgage Guaranty Insurance Corporation (MGIC) turned off their Oracle data warehouse in moving to System z & DB2 9 for improved information availability and timeliness Benefiting from the Cloud on Sys z IBM s Field Management Systems group (FMS) deploys Cognos BI on System z to track sales attainment & revenue. They have scaled the system to 40,000 users in 4 months. Smarter Healthcare with Sys z The University of North Carolina hospital system was able to drive DOWN the cost of their healthcare while improving patient information quality and availability.

27 What Can We Offer on System z? Single environment for traditional BI and operational BI Industry's best combination of OLTP and DW performance Industry leading availability, security and manageability Industry leading availability % up-time Unique breakthrough query accelerator Unprecedented query speed Reduced complexity Reduced cost and risk through fewer platforms, interconnects and management, Faster, cost effective deployment Appliance-like offerings for faster time to value, Analytics near the data Minimizes data movement and latency

28 Dynamic Warehouse The Integrated Stack for System z Smart Analytics System 9600 InfoSphere MDM Server Master Data InfoSphere Industry Models Warehouse Global Name Recognition Global Name Recognition InfoSphere Warehouse Cubing Cognos BI Information Services Director SPSS InfoSphere Information Server Operational Applications Data Quality Data Synchronization ETL Smart Analytics Optimizer Operational Source Systems Structured/ Unstructured Data Federation Change Data Capture Replication Server Classic Federation Classic Event Publisher

29 Websites for Additional Information: IBM Smart Analytics System Optimizer Webpage: External page: IBM Smart Analytics System 9600 Webpage: External page: Data Warehousing and Analytics External page: Data Warehousing and Business Intelligence on System z External page: BPs Other External : Data Warehousing and BI on Z - Terabyte Club for System z BI customers: ibm.com/software/data/businessintelligence/systemz/terabyte-club.html Data Governance on System z: ibm.com/software/data/db2imstools/solutions/compliance.html

30 Grzegorz T. Kolecki IM z Sales Leader, IBM Central and Eastern Europe kolecki@pl.ibm.com