2. IT Architecture Complexities Stifle Insight and Action
Transactions
Analytic
Applications
Application
Data
Enterprise
Applications
Machine
Data
Mobile/Cloud
Applications
Social
Media
Applications
Content
Big Data
2
3. New Challenges & Big Data Require A Different Approach
Leaders Are Breaking The Traditional Information Management Model
Traditional Approach Big Data Approach
Business Users IT
Determine what Delivers a platform to
question to ask enable creative discovery
IT Business
Structures the Explores what questions
data to answer could be asked
that question
Structured & Repeatable Analytics Iterative & Exploratory Analytics
•Query Based -- Questions Drive Data •Autonomic -- Insight Drives Answers
•Customer Surveys & Focus Groups VS. •Customer Sentiment
•Monthly, Weekly, Daily •Persistent & Ad Hoc
•Data At Rest •Data In Motion
7. Reduce the Cost of Data
Value Points Proof Points Offerings
Reduce Database DB2 / PureData
Lower operational costs by up to 2/3rd for Transactions
Costs compared to an Oracle Database
Enhance the Value DB2 / Informix /
of your Data Mgmt Lower costs by reducing physical disk PureData for
System space on an average 50% Transactions
Archive Data
to Improve App Improve performance and increase Optim
Performance and application up-time by up to 30%
Reduce Cost
Increase Efficiency Optim Test
of App Dev and Reduce development time by 30% and Data Mgmt /
Testing QA time by 20% DB2 Tools
BigInsights /
Data Warehouse Optim /
Nielsen has 15,000 users running PureData for
Augmentation 800,000+ queries per day 50X faster Analytics
7
8. Trust and Protect Information
Value Points Proof Points Offerings
Trusted
Information for Information
Cut development time by up to 30% Server
Big Data and Data and reduce data load times by up to 70%
Warehousing
Lower costs and gain 45% ROI by MDM /
Act on a Trusted automating processes and improving data Information
Server
View integrity
Consolidate and Reduce data conversions by 35-90% Information
Retire Applications Server / Optim
by standardizing the migration process
Protect and Secure
Enterprise Data to Mitigate threat of costly data breaches Guardium /
Ensure Optim
(avg. $5.5M) by enforcing data security
Compliance
8
9. New Insight from Big Data
Value Points Proof Points Offerings
Rapid Warehouse PureData for
Deployment for Merkle realized 25-90% revenue lift for Analytics
Deep Analytics one client through new analytic models
Real Time
Warehouse for PureData for
GS Retail reduced TCO by 30% and Operational
Operational their data by 60% using compression
Analytics Analytics / DB2
BigInsights /
Airbus saved $36M by accessing repair Streams /
Exploit New Data
Sources manuals and SAP for better customer Data Explorer
service faster
9
10. IM Portfolio Addresses 5 Big Data Use Cases
Big Data Exploration Enhanced 360o View Security/Intelligence
Find, visualize, understand of the Customer Extension
all big data to improve Extend existing customer Lower risk, detect fraud
business knowledge views by incorporating and monitor cyber security
additional internal and in real-time
external information sources
Operations Analysis Data Warehouse Augmentation
Analyze a variety of machine Integrate big data and data warehouse
data for improved business results capabilities to increase operational efficiency
10
11. IBM Information Management: Committed To Client Success
Broadest and best portfolio for Big Data
Big Data Platform, Information Integration and Governance, Data Management
More delivery choices and lower TCO
Multi-platform Software, PureData Systems, Cloud Services, System z
Proven expertise and innovation that drive faster results
Gain results within 30 days or less
Get started on any information challenge and grow
Reduce the Cost of Data, Trust and Protect Information, New Insights from Big Data
11
12. Glossary 1 of 2
Big Data High-volume, high-velocity, and/or high-variety information assets that require
new forms of processing to enable enhanced decision making, insight discovery
and process optimization. Source Gartner
Smarter Cross-brand approach that turns information into insight and insight into
Analytics business outcomes. In 2012, it became the new name for Business Analytics
and Optimization initiative for SWG.
OLTP Online Transaction Processing: Systems that facilitate and manage transaction-
oriented applications, e.g., data entry or an ATM at a bank.
DBA Database Administrator: the person responsible for tuning, managing and
tweaking database software
SQL Structured Query Language: A programming language for organizing and
manipulating data in a relational database.
ETL Extract Transform Load: generic industry term for the software that moves lots of
information from A to B, typically transforming it for different use. (e.g.,
transactional data transformed into a structure required in an analytics data
warehouse.)
MDM Master Data Management: generic industry term for the software and discipline
of managing master data, like customers, vendors, parts…
12
13. Glossary 2 of 2
Information Strategy for pro-actively managing information assets, encompassing
Governance technology to actively govern data and changes required for both processes
and people involved in governing data.
Federation Ability to view and act upon information from many different source systems as
if it were in one, virtual system..
Replication A form of data integration that uses real-time capabilities to replicate data from
a source system to one or more target systems usually a database.
Masking Replaces or shuffles real data with realistic data to protect it
Name: WiXX YLLIER
Metadata Data about data. Name (metadata): Will Reilly (data)
13
Takeaway – IT complexity happens from small to large enterprise. Clients come to IBM because we manage IT complexity better than anyone else. Complexity and expenditure of operational costs become an inhibitor for innovation. Every organization is dealing with an explosion in big data across an expanding range of data sources and data types. Fundamentally, we believe Analytics Apps, Enterprise Apps, Mobile/Cloud Apps are becoming more strategic to businesses in the new era of computing. Sadly, most organizations have a rudimentary/tactical approach to creating an unified information supply chain. The reality is that it is more complicated than Point A to Point B The veracity of data is decreasing as the sources and variety of data grow. New technologies are resulting in more source and consuming systems. This means greater integration complexity. Need for agility is increasing Here in lies the opportunity for IM sales.
The Big Data approach to analytics is not intended to replace the traditional approach. As we discussed, in the traditional approach, business users determine what questions to ask and their IT people structure the data to answer that question. This is well suited to many common business processes, such as monitoring sales by geography, product or channel; extract insight from customer surveys; cost and profitability analyses. In the Big Data approach – IT people deliver a platform that consolidates all sources of info and enables creative discovery. Business users can then use that platform to explore data for ideas and possible questions to ask. On the left, the traditional approach allows organization to answer questions that will be asked time and time again. On the right, users have the ability to explore their data in a more creative way. Before finding the answer, they must first define the question. For instance, “Are my customers starting to change their preferences?” “What is the best way to measure brand health?”
Takeaway – At IBM we believe that in order to maximize the value of information, you need to think differently about your information, i.e.., as an information supply chain. Takeaway - IBM Information Management’s portfolio strategy and capabilities are designed to help organizations drive their Analytics, Enterprise and Mobile/Cloud applications with greater efficiency, scale, trust and insight. We do that with: The broadest and best IM portfolio for Big Data – that operates within a heterogeneous environment. More delivery choices and lower TCO Proven expertise and innovation that drive faster results Get started on any information challenge and grow
Takeaway – At IBM we believe that in order to maximize the value of information, you need to think differently about your information, i.e.., as an information supply chain. Takeaway - IBM Information Management’s portfolio strategy and capabilities are designed to help organizations drive their Analytics, Enterprise and Mobile/Cloud applications with greater efficiency, scale, trust and insight. We do that with: The broadest and best IM portfolio for Big Data More delivery choices and lower TCO Proven expertise and innovation that drive faster results Get started on any information challenge and grow IBM SWG Rainbow Capability view : http://w3-103.ibm.com/software/xl/swgrainbow/Capabilities.html Accelerators Information Supply Chain Patterns – Jackie to provide link. Information Agenda Industry Assets Information Governance Methodology Education Services IBM Partner Solutions IBM Lab Services IBM GBS
Takeaway – In addition to the last slide’s takeaways, although we sell individual products on this slide, they all interoperate together to create a cohesive information management solution. Therefore, clients can grow their investment in the IM portfolio with less risk and at lower cost. IBM SWG Rainbow Capability view : http://w3-103.ibm.com/software/xl/swgrainbow/Capabilities.html Accelerators Information Supply Chain Patterns Information Agenda Industry Assets Information Governance Methodology Education Services IBM Partner Solutions IBM Lab Services IBM GBS
Takeaway – This sales play has five tactical sales entry points to qualify customer’s business pain. REDUCE THE COST OF DATA- https://w3-03.sso.ibm.com/software/xl/portal/content?synKey=B329727F31168I32 Replace Oracle Database - DB2 / PureData for Transactions Lower operational costs by as much as 2/3 vs. Oracle Database Reduce space by as much as 7x with Adaptive Compression Up to 3x performance per core: comparing DB2 on Power to Oracle Database on SPARC Reduced risk with 98% compatibility with Oracle PL/SQL: based on DB2 10 Early Access Program testing Enhance the Value of Your Data Management System - DB2 / Informix / PureData for Transactions Lower costs by reducing physical disk space (on an average 50%) with industry-leading deep compression capabilities , thus decreasing related hardware expenditures, floor space footprint and associated costs Simplicity: Simplify database administration lowering cost by up to 50%, increase DBA productivity and accelerate queries transparently to analytics applications. Productivity: Decrease application design, development and deployment time by 30% and reduce database backup times Archive Data to Improve Application Performance and Reduce Cost - Optim Reduce data storage and archiving costs by up to 50% Streamline application upgrades by reducing the data conversion time up to 66% Improve performance and increase application up-time by up to 30% Increase efficiency of app development & testing - Optim Test Data Mgmt / DB2 Tools Speed solution delivery , reducing development time by 30% and QA time by 20% Manage costs , streamlining testing process for a direct resource savings of 30-40% and reducing human resources required for application upgrades by 95% Scale in a new era of computing , providing a 72% reduction in time to deploy application upgrade Data Warehouse Augmentation - BigInsights / Optim / PureData for Analytics Faster answers to business questions – Nielsen has 15,000 users running 800,000+ queries per day 50X faster than before. Optimized business performance – Bank of America increased users by 40% and data by 60% with no increase in compute resources. New opportunities discovered – Catalina Marketing predicts what shoppers are likely to buy in future visits and achieves coupon redemption rates as high as 25% Reduce deployment time, project risks and costs – XO communications achieved 200X faster performance than Oracle system and ROI in less than 3 months
Takeaway – This sales play has Four tactical sales entry points to qualify customer’s business pain. TRUST AND PROTECT INFORMATION- https://w3-03.sso.ibm.com/software/xl/portal/content?synKey=D875367E68563A51 Trusted Information for Big Data and Data Warehousing - InfoSphere Information Server Reduce the cost and risk of data warehousing and business analytics projects by up to 90% by automating intensively manual processes and enabling a common understanding of requirements Improve business process execution and customer experience via intelligent data quality, finding data quality errors early and linking data quality errors to business processes – save development time by 30%,;reduce data load times by 70% Decrease costs by 47 to 81% and enable better business decisions by relying on trusted information, including an repeatable, flexible infrastructure Act on a Trusted View - InfoSphere MDM / InfoSphere Information Server Increase revenues tens of millions of dollars by maximizing account penetration through relevant cross-sell and up-sell offers to customers. Lower costs and achieve 45% ROI by automating business processes, supporting system consolidation initiatives, improving data integrity, eliminating excess mailings and identifying credit risks. Enhance strategic agility by accelerating M&A activity and driving more confident decision-making across the global enterprise with consolidated and reliable business-critical data, including key relationships and hierarchies. Support compliance with state, federal, and industry regulations and manage customer privacy preferences avoiding fines and penalties of millions of dollars. Consolidate and Retire Applications – InfoSphere Information Server / Optim Reduce the cost by 90% and risk of migrations & consolidations by automating intensively manual processes and enabling a common understanding of requirements. Reduce legacy data conversions by 35-90% by eliminating manual processes and accelerating and standardizing the migration process. Improve business process execution: IBM customers have been able to reclaim hundreds of thousands of dollars of disk space and have been able to improve performance by more than 40% through archiving, and have been able to reduce application upgrade data conversion time by 50% or more. Protect and Secure Enterprise Data to Ensure Compliance - Guardium / Optim Reduce the risk of fines/audits (from $5K to $1M on average) and cost of compliance by automating the compliance process and creating an audit repository InfoSphere streamlines testing and protects test data saving $240K per year in administrative costs InfoSphere helps organizations complete audits 20% faster saving about $50K per year Mitigate threat of costly data breaches ($5.5M on average) by locating and classifying sensitive enterprise data, defining and enforcing policies for data masking, encryption and redaction, and securing and protect production & non-production
Takeaway – This sales play has three tactical sales entry points to qualify customer’s business pain. NEW INSIGHTS FROM BIG DATA- https://w3-03.sso.ibm.com/software/xl/portal/content?synKey=H717375U50639T45 Rapid Warehouse Deployment for Deep Analytics Merkle The largest privately-held customer relationship marketing agency in the U.S. Help some of the biggest names in the consumer goods, retail, financial services, insurance, nonprofit, and travel and entertainment industries understand and engage their customers and constituents. To do so, the company must effectively transform petabytes of raw data into useful information that can influence marketing processes and predict customer preferences with accuracy. The IBM Netezza data warehouse appliance is Merkle’s “go-to” platform to perform advanced data analytics and execute highly focused marketing campaigns for clients in very short periods of time. Combined with Unica campaign management software, Merkle can help its clients quickly understand customers and their purchasing habits and communicate the relevant messages in both online and offline campaigns. Benefits 25-90 percent revenue lift for one client through use of new analytic models Regularly received a 70 percent reduction in processing time for complex marketing campaigns - decreasing time from hours to minutes Up to 25 percent decrease in the cost of managing clients’ environments Solution Components • IBM® Netezza® Performance Server • IBM Netezza 1000 • IBM Unica® Enterprise Case Study PDF : http://public.dhe.ibm.com/common/ssi/ecm/en/imc14712usen/IMC14712USEN.PDF “ One of Merkle’s biggest value propositions to our clients is applying rich analytics to their marketing problems. The more data that we can provide and the more accurate and timely that data is, the better we can do our job.”– Russ Pearlman, Chief Information and Technology Officer, Merkle Example of Operational Analytics GS Retail Co., Ltd. A conglomerate of retail chains that has modernized the Korean retail industry since its establishment in 1971. The group has four businesses: GS25 convenience stores, GS supermarkets, GS Watsons and Mr. Doughnut. Challenge It’s aging data warehouse systems could not perform the sophisticated data analytics the company needed to retain customers and grow business. The three separate data warehouses were slow to load and process, and bottlenecks occurred when a large number of users attempted access. There also was no data compression, so growth in data led to purchasing of expensive storage disk. Benefits 60 percent data reduction due to data compression Up to 2.5-fold faster batch processing (6 hours vs. 9-15 hours) 30 percent reduction in TCO for data warehouse including storage disk, maintenance and back-up expenses Availability of sophisticated analytical functions such as cross-data analytics Solutions Components IBM® Smart Analytics System 5600 The company implemented the IBM Smart Analytics System 5600 which brings together IBM hardware, software and storage to create a fast and easy-to-deploy, end-to-end business intelligence (BI) environment. The solution provides high performance both in handling simultaneous accesses and in processing mass data batches. It also features deep compression capabilities that result in significant savings on storage. Case Study PDF : http://public.dhe.ibm.com/common/ssi/ecm/en/imc14719usen/IMC14719USEN.PDF “ We need sophisticated analytics to be able to offer customers more of the products and services they want. IBM Smart Analytics System gives us the insights we need to propel growth.”—Han-Yeol Yoon, Deputy General Manager, Information Service Department, GS Retail Co., Ltd. Airbus Airbus launched the production version of its “One Search for All” application in 2009, providing access to management, knowledge workers, all internal support staff, and many field personnel, through a web-based user interface developed by Vivisimo. Vivisimo considers Airbus to be one of its most important and successful customers. The application described in this report is only one of multiple successful or in-progress projects within Airbus. Vivisimo’s solution is constantly used in activities that are critical to Airbus’ business. Airbus has reduced costs and improved performance with results that affect the company’s top and bottom lines financially. Airbus Support Application Airbus provides ongoing maintenance support throughout the life of their airplanes. Because of the size and complexity of a modern commercial passenger aircraft, the amount of information needed to support maintenance activities is overwhelming, representing literally tons of printed manuals. Delays in fixing maintenance issues are expensive not only in man hours spent on the problem, but also in potential financial penalties for out-of-service equipment and unresolved issues. In addition to its field maintenance staff, Airbus employs approximately 2,500 people at its headquarters directly involved in assisting on-the-ground technicians to quickly fix any maintenance problems. Additional knowledge workers are available to support these first-line service representatives when needed. To increase the efficiency of its maintenance and support operation, in 2008 Airbus determined that it needed a solution to make information needed by technicians, support staff and engineers immediately accessible and visible from a single point of access. This complex information—which was both structured and unstructured—resided in many different applications, including shared file systems, an SAP system and a Siebel CRM system. With the new application, technicians consult a Vivisimo-driven electronic records system, which replaced paper manuals and connects multiple different information sources, including SAP and Siebel systems. Technical service representatives are now able to access all relevant information on a topic and easily navigate through that information using structured data and facets such as part numbers, airplane type, engine type and document type. If needed, a Vivisimo-driven expert finder identifies the most qualified individuals to solve a problem. Visibility into the supply chain allows for quick access to needed parts. Escalation capabilities provide access to the 5,000 partners, engineers and technical experts who support the program. As a direct result of the Vivisimo system, Airbus improved customer service and received the following quantifiable benefits including: * Elimination of paper manuals that were previously used for research. * Increases in the efficiency of knowledge workers, such as reduced time to answer questions, enabled Airbus to place an additional 50 airplanes into world-wide service during 2009 without needing to add any additional support staff.
Takeaway – Drilling further into the big data opportunity (i.e., Exploit New Data Sources sales entry point) , we have defined a common set of big data use cases, which augment industry specific use cases such as Network Management in Telecommunications. Takeaway - IM has both the expertise and capabilities necessary to address the broadest set of big data use cases in the industry. Takeaway - Use these examples to have conversations with your clients. FYI - Extend existing customer views (MDM, CRM, etc.) by incorporating additional internal and external information sources
Takeaway – IBM is Committed To Client Success. We have unparalleled experience and the best portfolio of capabilities can help any size of organization with their big data challenges. Broad and integrated portfolio of information management capabilities – that operate in a heterogeneous environment. $3-4B spent annually in Information and Analytics R&D Enterprise class big data platform Leader in Information Integration & Governance Comprehensive, cross-platform data management Proven experience accelerating time-to-value and delivering breakaway results Over 9,000 experienced technology experts and consultants around the globe Proven capabilities and solutions across industries Jumpstart services and education Comprehensive delivery options to compliment capabilities and lower TCO Open offerings optimized to the needs of key workloads Flexible Enterprise License Agreements Appliance, Hardware, Cloud Advanced technology and expertise applying innovation to real world problems Thought leadership in Big Data and Information Governance First-of-its-kind breakthrough innovations, including InfoSphere Streams Number 1 in patent ranking for 19 years and more than X IM-related patents
