Big Data, Integration and governance. Turn information into insight+

Transcription

1 Big Data, Integration and governance Turn information into insight+ An IBM Article Operation Research Group گروه تحقیق در عملیات جمع آوری توسط رضا شهران Collection by: Reza Shahran Main Website Reference : 1 Introduction

2 Table of Contents INTRODUCTION 3 INFORMATION INTEGRATION - A HOLISTIC APPROACH TO INFORMATION INTEGRATION DRIVES SMARTER BUSINESS DECISIONS 4 REALIZE TOP PERFORMANCE AND SCALABILITY 5 DETECT AND DELIVER DATA IN REAL TIME 5 UNDERSTAND, CLEANSE AND TRANSFORM YOUR DATA INTO TRUSTED INFORMATION 7 DELIVER TRUSTED INFORMATION FOR DATA WAREHOUSING, BIG DATA AND ANALYTICS 7 IMPROVE THE QUALITY OF ENTERPRISE DATA 8 CONSOLIDATE AND RETIRE APPLICATIONS WHILE ENSURING COMPLIANCE 8 MASTER DATA MANAGEMENT - IMPROVE YOUR APPLICATIONS AND BUSINESS PROCESSES WITH TRUSTED MASTER DATA 9 BUILD A SINGLE VIEW OF CUSTOMERS 01 OPTIMIZE BUSINESS OPPORTUNITIES WITH TRUSTED PRODUCT INFORMATION 01 BUILD A SINGLE VIEW OF CITIZENS 00 BUILD A SINGLE VIEW OF PATIENTS AND PROVIDERS 00 EMPLOY INFORMATION AS A CRIME-FIGHTING WEAPON 01 MANAGE REFERENCE DATA TO REDUCE RISK AND IMPROVE COMPLIANCE 01 BIG DATA, WAREHOUSING & ANALYTIC - GLEAN VALUABLE INSIGHTS, QUICKLY AND COST- EFFECTIVELY FROM ALL YOUR INFORMATION 02 THE SIMPLE ANSWER TO MORE COMPLEX DATA WORKLOADS 03 UP-TO-THE-MINUTE INSIGHTS FOR BETTER DECISIONS DURING BUSINESS OPERATIONS 03 DELIVER FAST, ACTIONABLE INSIGHTS FROM COMPLEX DATA WITH APPLIANCE SIMPLICITY 04 DELIVER TRANSACTIONAL DATA SERVICES WITH SPEED, SIMPLICITY AND LOWER COST 05 RICHER INSIGHTS FROM BIG DATA 05 FIND REAL-TIME INSIGHTS FROM DATA IN-MOTION 07 LEARN HOW TO LEVERAGE BIG DATA FOR BIG RESULTS 07 DISCOVER, NAVIGATE AND EXPLORE BIG DATA 08 2 Introduction

3 DATABASE MANAGEMENT - IMPROVE DATABASE PERFORMANCE WHILE LOWERING COSTS 09 ACCELERATE INSIGHT, IMPROVE RESILIENCY AND MAINTAIN FLEXIBILITY 11 COMPLEX QUERIES ANSWERED UP TO 011 TIMES FASTER 11 ACCELERATE SMART METER AND SENSOR SOLUTIONS 10 DELIVER TRANSACTIONAL DATA SERVICES WITH SPEED, SIMPLICITY AND LOWER COST 10 DATA SECURITY & PRIVACY - GET A HOLISTIC APPROACH TO PROTECTING ENTERPRISE INFORMATION 11 PROTECT ENTERPRISE PRODUCTION DATA 12 ENSURE COMPLIANCE WITH INDUSTRY AND GOVERNMENT REGULATIONS 12 MASK CONFIDENTIAL DATA ACROSS BUSINESS-CRITICAL APPLICATIONS AND DATABASES 13 DATA LIFECYCLE GOVERNANCE - EFFECTIVE DATA LIFECYCLE GOVERNANCE MEANS BETTER APPLICATION AND DATABASE PERFORMANCE AT REDUCED COSTS 14 MINIMIZE THE DATA EXPLOSION 15 AUTOMATE TEST DATA MANAGEMENT 15 CONSOLIDATE AND RETIRE APPLICATIONS 17 3 Introduction

4 Introduction Trust your data before you act Combining untrusted external information with data from trusted internal systems can lead to more questions than answers. What data is correct? Do we have the right context to make the best decision? Are we confident enough to act on this insight? To get started and be successful with big data, you need more than speed-of-thought analytics and the simplicity of an appliance. You also need a sound basis for confidence in your data. When IBM asked business and IT professionals in 59 countries about the current state of their infrastructures, almost two-thirds report[ed] starting their big data journeys with an information foundation that is integrated, scalable, extensible and secure. * You can achieve confidence in your data with the latest Information Integration and Governance innovations from IBM, enabling you to: Manage big data from all sources throughout its lifecycle Secure and protect information from diverse big data sources Profile, understand and integrate data from Hadoop as well as other sources Deliver data that is complete, timely, accurate and available on demand Improve your 061-degree view by adding unstructured content alongside structured customer and product master data 4 Introduction

5 Information Integration - A holistic approach to information integration drives smarter business decisions Understand, cleanse, transform and deliver data seamlessly across your enterprise. It s your information. Do you have the whole picture? A holistic information integration approach will consistently deliver the quality of information you need to make smarter business decisions In most organizations, applications get all of the attention. But the applications you rely on daily, to make critical business decisions, can only be as good as the data that feeds them. If the underlying information isn't accurate, complete or just plain there when you need it, your ability to make informed decisions suffers. Fortunately, embracing a meaningful information integration strategy is achievable. And the benefits are far reaching. Understanding the meaning, structure, and content of your data sources before you integrate them enables you to deliver trusted information and minimize development time throughout your organization. IBM InfoSphere provides complete solutions that enable you to understand, cleanse, transform and deliver your data seamlessly and securely throughout your enterprise. 5 Information Integration - A holistic approach to information integration drives smarter business decisions

6 Realize top performance and scalability Harness the increasing volume of and demand for information. Data is growing, but you don t have more time to deal with it. So there s a growing need to transform and deliver more data than ever before, either within the same old batch windows or in real time. And big data applications need big data integration systems to supply current, relevant information. Long before the terms Hadoop and big data found their way into dinner table conversations, IBM InfoSphere solutions were providing integration at lightning speed. In fact, InfoSphere integration was designed from the start on a parallel framework optimized for the challenges of big data. It has been proven in production for the biggest integration tasks. With IBM InfoSphere Information Server, organizations are integrating their data and achieving performance like transactions per second processed for a global bank, and 011 million medical documents processed during a weekend for a healthcare organization, accelerating retrieval by end users and improving both operating efficiency and customer service. Detect and deliver data in real time Sense and respond to data changes throughout the enterprise. For many enterprise initiatives, nothing but the latest information will do. So it s important to detect data changes and deliver critical information in real time for projects like these: Providing up-to-the-minute inventory levels for purchases on the web, by phone and in stores Consolidating sales data across a global enterprise to support critical decisions Providing customer access to real-time shipment information without interruptions caused by outages Whether you re focused on real-time data warehousing or a high-availability strategy for mission-critical databases, an InfoSphere solution for data replication is ready to help. With InfoSphere Data Replication, you can increase agility, improve decision making, and avoid the fines, lost customers, lost credibility and reduced productivity associated with system downtime. 6

7 Understand, cleanse and transform your data into trusted information Discover, standardize and deliver trusted information when it's needed. Business decisions are based on the stories told by enterprise data. And in the big data era, IT faces a growing challenge to make sure the complex, high-volume, high-velocity data tells a clear and trustworthy story to decision makers. Business leaders need to understand what data to use and when to use it, and then to trust the data as a foundation for critical projects and analytics. IBM InfoSphere information integration solutions are helping organizations around the world meet the challenge and achieve results like these: Increasing efficiency and certainty by resolving the ambiguities related to 03 different definitions of a single business term Increasing revenue by 001 by improving the quality of the data available to customer service representatives Increasing market agility by reducing data latency from 02 hours to 01 minutes InfoSphere helps you tell a story that s fact rather than fiction. Deliver trusted information for data warehousing, big data and analytics Manage data infrastructure to support your data warehouse so trusted information can be shared with decision makers. Where is the data that organizations are leveraging for crucial, real-time business decisions? Increasingly, the answer is In a data warehouse. A foundation of trust is critical in this environment. Trust requires knowing where the information originated and what systems have touched it along the way. It requires a well founded understanding that data is clean and monitored for quality over time. Increasingly, the integration infrastructure that provides trusted information to the warehouse needs to scale to meet the volume, velocity and variety demands of a big data world. IBM InfoSphere solutions enable organizations to keep up with big data and deliver consistent, reliable information to the warehouse, ready for analysis. InfoSphere solutions also increase trust by helping business and IT teams reach a common understanding of critical information. 7

8 Improve the quality of enterprise data Run your organization on a foundation of trusted information. The primary reason that 211 of business initiatives fail is due to poor quality data. Data inconsistencies, lack of completeness, duplicate records, and incorrect business rules often result in inefficiencies, excessive costs, compliance risks and customer satisfaction issues. Therefore improving the quality of your enterprise data will have a huge impact on your business. For organizations that want to run their business on a foundation of trusted information - IBM InfoSphere is the solution. It helps enterprises integrate, validate, enrich and deliver trusted information for key business initiatives. Consolidate and retire applications while ensuring compliance Free up valuable disk space and achieve optimal software performance. Facing retention requirements that can last from 3 to 01 years (or 91+ years for some industries), many organizations are reluctant to retire applications even after their capabilities have been superseded by other applications. But by ignoring data lifecycle management strategies and doing nothing, according to Aberdeen Group s research, the average organization could be dealing with total costs of 801$ million. When applications are retired, a lack of focus on data comes at a high cost and significant risk. Associated issues include: maintenance of redundant or legacy applications and the business data within them, manual data discovery, hand-coded integration and quality routines, and inefficient and manual test data management. IBM InfoSphere provides proven discovery, integration, quality and archiving capabilities to speed application consolidation with higher quality, while retaining the necessary data for compliance purposes. Organizations can streamline their application portfolios while intelligently archiving historical data in its original business context for retention compliance. With InfoSphere, your organization can optimize your entire application portfolio, decreasing both costs and risk. 8

9 Master Data Management - Improve your applications and business processes with trusted master data Get a single, unified, trusted version of all your data for improved business processes. Do you trust the data that drives your business decisions? Act on a trusted view of master data Every day, employees and business leaders make decisions that affect the competitiveness of their enterprises. They need to be confident that the information they act on is a trusted version of the truth. And, today they want to extend existing customer views with big data by incorporating information from additional internal and external information sources such as social media. Otherwise, they may miss opportunities to provide outstanding customer service, grow revenues or cut costs. To help you deliver this trusted view, IBM offers InfoSphere Master Data Management, delivering a trusted view of customers, products, accounts, reference data and more. It helps you establish governed, trusted views of your data assets, including big data. This in turn makes your most important business processes and applications more effective. Your organization can improve business results, lower costs, reduce risk, and increase strategic agility to meet current and future business needs. 9 Master Data Management - Improve your applications and business processes with trusted master data

10 Build a single view of customers Keep customers happy and coming back with a single, complete view of their data. Do you know your customers well enough to keep them coming back? Customer data comes from many sources, including ERP, CRM, front-end and multi-channel systems. Today, the average enterprise has fourteen different customer databases, and this information is rarely stored in a uniform way. But if you organize it all into a single view, remarkable opportunities emerge. IBM InfoSphere provides a complete customer view across disconnected information silos. InfoSphere integrates and transforms data and content to deliver authoritative, consistent, timely and complete information providing an accurate, current picture. This enables organizations to segment the customer base and provide the right products, promotions and offers for every client, helping to increase retention. With IBM InfoSphere, organizations can also leverage customer profile information to optimize the channel mix across multiple touch points including call centers, ATMs and Web selfservice systems to identify new cross-sell opportunities that drive incremental revenue. In summary, IBM InfoSphere can help you: Better segment your customer base Improve cross-sell and up-sell rates Increase customer retention and satisfaction Reduce operational costs Optimize business opportunities with trusted product information Reduce time and cost of introducing new products by managing product information. Sellers are catering to market demand by introducing new, differentiated products at faster rates than ever. Many of these offerings are complex, including sophisticated technology, service and subscription, and financing components. Product information is at the center of these trends. If managed correctly, product information can empower sales, marketing and supply chain initiatives to take your business to the next level. IBM InfoSphere software addresses six key requirements for managing product information throughout the enterprise: Flexible data model 10 Master Data Management - Improve your applications and business processes with trusted master data

11 Tailored, customizable workflows Management of multiple hierarchies to target all channels Aggregation of product data across the enterprise Synchronize product and catalog information between suppliers and distributors Collaborative authoring interface Build a single view of citizens Serve citizens, control spending, detect fraud and improve compliance. Government organizations must figure out better ways to provide public services, control spending, detect fraud and improve compliance. The solution for these challenges rests in effectively using the data that public sector enterprises currently have on hand. IBM is uniquely positioned to help with proven architectures, priority solutions and experienced consultants. InfoSphere examines relevant identities of individuals, their relationships and their actions and provides a real-time view of citizens across all departments and programs to streamline processes and identify fraud. Build a single view of patients and providers Data solutions that help deliver high -quality and efficient healthcare. No one will argue with the fact that having trusted patient information, delivered quickly, could be the difference between life and death. However, nearly 011 of all patient records have invalid or blank values in critical areas like name, date of birth and gender. And because of similar data discrepancies in provider records, healthcare systems are challenged to deliver patient information to the correct provider in a timely manner. Obtaining a single view of patients is challenging considering today's massive healthcare systems and the fact that patient medical information is often spread across multiple disparate systems. Also, big data means much larger volumes, wider varieties and greater velocities of data than most organizations have previously captured, stored and analyzed. It includes data from traditional sources such as electronic medical records (EMRs) and from nontraditional sources such as social media and public health records. With all of this complexity, it's clear that a single point of collection for distributed patient and provider data is the starting point. Learn how IBM InfoSphere software delivers accurate, ready-to-share, comprehensive views of patients and providers so organizations can identify a patient across all points of care, create a master view of individual and organizational providers, and manage the relationships between physicians and their locations. This leads to higher quality care for patients and competitive advantages and cost savings for healthcare organizations. 11 Master Data Management - Improve your applications and business processes with trusted master data

12 Employ information as a crime-fighting weapon Share and analyze large amounts of data to identify, track and locate persons of interest. Existing information systems at the federal, state, and local levels were not designed to allow for sharing of information, making it difficult to identify and track criminal activity across jurisdictional boundaries. In addition, the exponential growth in crime-fighting data, at all levels, makes it difficult for law enforcement officers to have quick access to data that they can trust. To improve public safety, law enforcement agencies at every level must be able to share and analyze large amounts of information in order to identify, track and locate persons of interest. IBM InfoSphere provides the most trusted and proven entity resolution capabilities in the industry. They are entrusted with the most complex, mission-critical applications in global deployments, some involving billions of records. Unlike other entity management products, IBM is able to define, model, and manage non-person data such as weapons, financial instruments, vehicles, locations and events. Manage reference data to reduce risk and improve compliance Meet reporting and compliance requirements while gaining data efficien cy Is Shanghai a valid city in the state of New York? The lack of automation and control around reference data like this can be a significant business issue. Using manual processes eventually results in someone loading the wrong version of a reference data spreadsheet or file into a process. And with government mandates, regulations, and mergers, the task of managing reference data is becoming even harder. Enter IBM InfoSphere MDM Reference Data Management Hub. Discover how your organization can centrally manage reference data with strong governance and security, plus audit and process control around authoring, changing and using the data. Improve efficiency for making changes to reference data, and automate distributing it to consuming applications. You ll be able to reduce your business risk and meet compliance mandates while reducing the burden on IT. 12 Master Data Management - Improve your applications and business processes with trusted master data

13 Big Data, Warehousing & Analytic - Glean valuable insights, quickly and cost-effectively from all your information Cost- and time-effective ways to get the right information into the right hands. The more data you have, the better you see. Glean valuable insights, quickly and cost-effectively from all your information The data explosion is no longer news. What is astounding is how few enterprises are prepared to use their data to make sound, fast business decisions. Even with millions of dollars invested in data and its storage, 331 of executives surveyed said they do not have real-time information to make key business decisions. Tomorrow's most successful organizations will need to discover new insights from both traditional and non-traditional data sources quickly and inexpensively. IBM solutions are designed to do that and much more. With a complete platform that addresses a wide variety of needs, from traditional deep and operational analytics to the new areas of Hadoop-based streaming data analytics, we help enterprises build and evolve their big data ecosystem at the right pace for their business. What's more, only IBM offers a complete platform solution to help reduce technical risk and lower total cost of ownership. 13 Big Data, Warehousing & Analytic - Glean valuable insights, quickly and cost-effectively from all your information

14 The simple answer to more complex data workloads Deploy complete, ready-to-run systems in hours. Today the rate at which data is being generated is far beyond what we have ever seen before, and many new more complex types of data have emerged. The data resides in multiple places and contains valuable untapped insights. To gain a competitive advantage, businesses need to apply all kinds of analytics against all types of data in order to extract those insights. Until now deploying systems to support this has been complex and time consuming. The IBM PureData System can help your company keep up with the volume and complexity of data. It is a key component of the IBM Big Data platform, and provides a smarter approach for organizations to deploy complete, ready-to-run systems optimized for analytics and transactional data workloads in hours without the complexity of custom-built systems; and tackle big data faster, more simply and at a lower cost. Up-to-the-minute insights for better decisions during business operations The industry's most complete, workload-optimized and integrated operational analytics solutions. Businesses across all industries need actionable insight from both historic and current data to gain a competitive advantage. However, up to $1 percent of inquiries for operational analytics systems require interactive look ups focused on data about a specific customer, account or patient to support real-time decision making. For example, do you need to determine: How to enable a call center operator to provide the next-best-action offer to a client while he is still on the line? How to assess millions of credit card transactions to detect potential fraud as these transactions happen? To deliver the correct information as rapidly as possible, the data warehouse supporting these systems must be optimized for the right balance of analytics performance and operational query throughput. IBM offers a complete, out-of-the-box solution for operational analytics that provides both the simplicity of an appliance and the flexibility of a custom solution. Designed to handle concurrent operational queries and provide continuous data-ingest capability, it delivers mission-critical reliability, scalability and outstanding performance. IBM PureData System for Operational Analytics enables businesses to infuse actionable insights into business operations for improved real-time decision making. 14 Big Data, Warehousing & Analytic - Glean valuable insights, quickly and cost-effectively from all your information

15 Deliver fast, actionable insights from complex data with appliance simplicity More effective ways to produce high-performance analytics capabilities across your enterprise. Business leaders today are facing fierce competition, greater customer churn and increased pressure to reduce costs. At the same time, data is growing and moving faster than organizations can consume it. With increasing pressure to deliver more strategic business value, IT must rely on more effective ways to analyze greater volumes and myriad types of data in order to enable the organization to make better decisions and gain a competitive advantage. IBM PureData System for Analytics, powered by Netezza technology, is purpose-built to do just that. Designed from the ground up to do one thing and one thing only, it makes complex analytics on big data simpler, faster and more accessible to more decision makers by delivering: Speed x faster than traditional custom systems 0 Simplicity - Minimal tuning and administration and greater resilience Fast time to value - 9 TB/hour load speed 0 Advanced analytics - Complex algorithms in minutes with a rich library of integrated analytics IBM is collaborating with thousands of companies around the world to help them achieve their business goals through big data and analytics. IBM PureData System for Analytics provides a solid foundation that enables organizations to analyze large, complex and rapidly growing data volumes very quickly to generate insights that can help them exploit new opportunities, reduce customer churn and drive more effective operations. 0 Based on IBM customers reported results. Traditional custom systems refers to systems that are not professionally pre-built, pre-tested and optimized. Individual results may vary. 0 Based on IBM internal testing using IBM PureData System for Analytics N0110. Single rack load speed of 2.$ TB hour, multi-rack load speed of 9109 TB/hour. Assumes customer source systems and network can accommodate quoted load rates. Individual results may vary. 15 Big Data, Warehousing & Analytic - Glean valuable insights, quickly and cost-effectively from all your information

16 Deliver transactional data services with speed, simplicity and lower cost Optimize data systems for highly reliable and scalable services. The volume and variety of business data is growing at an accelerated rate. More and more business data is being identified as mission critical, data availability and response time expectations continue to rise. Consumers today expect instantaneous response and 0111 uptime - meeting these expectations is difficult. Deploying and running reliable and highly scalable transactional database systems can be expensive and time consuming. A new approach to delivering fast, reliable and scalable data services is needed: The IBM PureData System for Transactions is a pre-integrated and optimized, ready-to-run database platform designed and tuned exclusively for OLTP workloads. The system is an ideal platform for consolidation in private cloud environments. By providing highly reliable and scalable services out of the box with built in expertise, the system enables IT departments to more easily deploy, optimize and manage data-intensive workloads thereby accelerating time to value and lowering overall data management costs. Richer insights from big data A cost-effective way to manage and analyze data with Hadoop. Organizations of all types are finding new ways to deepen customer relationships, prevent threat and fraud, optimize operations and identify new revenue opportunities. Leaders are looking to big data from sources such as sensors, network logs, financial trades, call detail records, social networks, and the like -- for greater insights, and they re finding hidden treasure. To help you tap into the potential of new big data sources, InfoSphere BigInsights extends the benefits of open source Apache Hadoop and enables you to: Easily analyze big data, with built-in accelerators, analytics and visualization tools that get business results quickly Keep pace with ever-growing volumes, with enterprise-scale performance and high availability Integrate freely with existing information and warehouse infrastructure to extend current investments 16 Big Data, Warehousing & Analytic - Glean valuable insights, quickly and cost-effectively from all your information

17 Find real-time insights from data in-motion Rapidly ingest, analyze and correlate data in -motion for a major competitive advantage. Data moves fast. There is more flowing than could ever be saved. In the financial world alone, organizations routinely consume market data at rates exceeding one million messages per second. To stay ahead of the competition, organizations from telecommunications to retail to government must find a way to rapidly ingest, analyze and correlate information as it arrives. But how can organizations possibly analyze data in-motion, moving at jaw-dropping speeds, flowing across networks and between systems? With stream computing, organizations can glean insights in real-time through sophisticated analytics with near-zero latency and you can't get any faster than that. Catch fraud before it happens, fix a customer issue before they notice or analyze streaming data and store just the insights. With InfoSphere Streams you can: Analyze big data in-motion at incredible speeds up to terabytes per second Analyze data in its native format Seamlessly extend existing applications with data-mining capabilities on virtually any size computing cluster Learn how to leverage big data for big results Understand the capabilities and technologies needed to capture and analyze big data. Big data is a big deal, but do you understand it? Do you know what new capabilities and technologies are needed to capture and analyze big data? Do you know how to turn big data into a competitive advantage? IBM does. In fact, we wrote a book to help you understand what big data is, why it s important, and how your organization can benefit from big data solutions. Reading this book will give you: a strong understanding of the business opportunities that lie ahead with big data using the latest available technologies. a better understanding of the requirements that drive the need for an integrated big data platform (as opposed to silos of technology) tips and tricks for taking advantage of big data use cases and solutions 17 Big Data, Warehousing & Analytic - Glean valuable insights, quickly and cost-effectively from all your information

18 Discover, navigate and explore big data Improve your insights with data assets already available. With the advent of big data exploration, organizations are now capable of using all data assets - revolutionizing how they develop insight and make important decisions. But without context, timely access, assimilation and targets, the inherent value of big data is greatly diminished. Explore big data and the value IBM can offer to help you: Assess your data to identify value and establish the context of data usage Collaborate by integrating user knowledge and creating personalized views Use the data to build compelling, original applications By exploring big data with IBM InfoSphere Data Explorer, you can employ existing big data assets to increase productivity and revenue while reducing risk. 18 Big Data, Warehousing & Analytic - Glean valuable insights, quickly and cost-effectively from all your information

19 Database Management - Improve database performance while lowering costs Employ the right data management software to effectively and efficiently manage your data. Do more with your data. Increase the value of your data while lowering data management costs Data comes from everywhere: high-volume transactional systems, call centers, sensors, web logs and digital images, to name a few sources. To stay ahead of the competition, businesses need to maximize the value of their data while improving operational efficiency and lowering costs. IBM data management solutions offer game-changing technology to help you: Manage the growing volume and diversity of data Ensure the data captured is highly available and accurate Provide actionable insights faster than ever before IBM s innovative portfolio of data management software and systems helps clients do more with less and use data as a secret weapon in the competitive battle. 19 Database Management - Improve database performance while lowering costs

20 Accelerate insight, improve resiliency and maintain flexibility Optimize data management for faster insight and new opportunities for growth. The success of your business depends on meeting big data challenges, while continually improving operational efficiency. Whether you are facing demands for faster analytics, more transactions or uninterrupted availability, your data systems must be flexible and resilient to meet the challenge. IBM DB0 with BLU Acceleration offers the flexibility to handle a variety of data workloads: Speed of thought analytics with patented BLU Acceleration Always available transactions with disaster-protected purescale reliability Operational analytics with continuous data ingest and advanced workload management In addition, enhanced compatibility with Oracle Database applications makes it even easier to run them with minimal change, and to continue using existing skills. Learn how this new generation of DB0 can help meet big data challenges with speed, flexibility and business-grade reliability. Complex queries answered up to 011 times faster Get answers to complex queries faster than ever for faster decisions. Massive data volumes can overwhelm the storage systems and analytic engines meant to turn information into business insight. Basic queries can take a long time and more sophisticated queries involving millions and billions of rows - can take forever, requiring the need for super-fast analytics. IBM Informix helps organizations get answers to extraordinary complex queries at real-time speeds, consistently, without requiring any tuning or changes to business applications. The Informix Warehouse Accelerator returns complex warehouse queries up to 011 times faster than traditional warehouses, with some clients reporting as much as 361 times faster. Extreme speeds for extreme needs 20 Database Management - Improve database performance while lowering costs

21 Accelerate smart meter and sensor solutions Get unprecedented performance and scalabi lity for managing "time series" data. In today's interconnected and instrumented world, a growing number of sensors and smart meters are creating time stamped data data captured in sequence, to be processed and analyzed in chronological order. Think "smart meters" in the energy and utilities industry. Smart meters use interval data to deliver significant benefits to energy and utility organizations and their customers. Yet, these organizations are challenged with how to load, store and query the vast amount of instrumented data. Enter IBM Informix software. A recent industry benchmark demonstrates that Informix, with its built-in TimeSeries capability, offers unprecedented performance and scalability. Its advantages include: Faster processing of time-stamped data, for faster business processes Storage reduction of up to 661 Consistent, scalable performance for highly predictable costs Deliver transactional data services with speed, simplicity and lower cost Optimize data systems for highly reliable and scal able services The volume and variety of business data is growing at an accelerated rate. More and more business data is being identified as mission critical, data availability and response time expectations continue to rise. Consumers today expect instantaneous response and 0111 uptime - meeting these expectations is difficult. Deploying and running reliable and highly scalable transactional database systems can be expensive and time consuming. A new approach to delivering fast, reliable and scalable data services is needed: The IBM PureData System for Transactions is a pre-integrated and optimized, ready-to-run database platform designed and tuned exclusively for OLTP workloads. The system is an ideal platform for consolidation in private cloud environments. By providing highly reliable and scalable services out of the box with built in expertise, the system enables IT departments to more easily deploy, optimize and manage data-intensive workloads thereby accelerating time to value and lowering overall data management costs. 21 Database Management - Improve database performance while lowering costs

22 Data Security & Privacy - Get a holistic approach to protecting enterprise information Solutions to help discover, assess, encrypt, monitor, mask and redact sensitive data. Do you know who has seen your data today? Get a holistic approach to protecting information across your entire enterprise Databases that contain an organization's most sensitive data, including financial records, credit card information and citizen or customer data, continue to be the number one source of breaches and that s why they are increasingly subject to regulations such as SOX, PCI-DSS, HIPAA and other data protection and privacy regulations. As a result, protecting against fraud, insider threats and external attacks has compelled organizations to streamline compliance processes in order to protect their most vital information assets. Unfortunately, many organizations are struggling to discover where sensitive data exists and how to protect it. IBM InfoSphere solutions for data security, privacy and compliance are uniquely positioned to help organizations discover, assess, encrypt, monitor, mask and redact sensitive data. As the largest security vendor in the market, IBM provides a holistic approach to protecting the integrity of your data across the entire enterprise. 22 Data Security & Privacy - Get a holistic approach to protecting enterprise information

23 Protect enterprise production data Maintain integrity of trusted information while reducing risk. The numbers reflect a harsh reality. Ninety-five percent of compromised records originate in databases. The average data breach costs Eighty-eight percent of organizations surveyed have had at least one data breach. And even with new industry and governmental mandates, 301 of security professionals believe that the volume of database attacks will increase. Therefore, organizations must act to secure their most important asset data. IBM InfoSphere Guardium is a simple, robust solution for preventing data breaches and unauthorized databases and file-sharing platforms changes, ensuring the integrity of information in the data center and reducing costs by automating compliance controls. It provides: Continuous monitoring of heterogeneous databases and document sharing systems Enterprise-wide policy enforcement of sensitive data access Centralized audit repository with compliance automation workflow A single solution across physical, virtual and cloud infrastructures Ensure compliance with industry and government regulations Simplify compliance to help pass audits quickly. Organizations around the world are under extreme pressure from stringent data protection and privacy regulations. Data protection is no longer just the right thing to do, it is a mandate. What's needed is a robust and scalable approach that can demonstrate compliance without interrupting critical business processes or operations, or putting extra stress on limited resources. InfoSphere Guardium data security solutions help organizations to streamline compliance by implementing unified controls, separation of duties, automated compliance reporting and consistent enforcement of policies across the entire enterprise. 23 Data Security & Privacy - Get a holistic approach to protecting enterprise information

24 Mask confidential data across business-critical applications and databases Mask data on demand to support business policies. Protecting data privacy is not optional it s the law. Breaches and audit violations cost financially - up to 821M per year and lead to permanent brand damage and loss of customer confidence. Minimize the risk of sensitive data exposure in areas including Personally Identifiable Information, intellectual property and HR data using on-demand masking to protect privacy anywhere, anytime. In the era of big data, the volume, variety and velocity of sensitive data are increasing, making traditional manual approaches unsustainable. In addition, sensitive data both structured and unstructured is everywhere. IBM InfoSphere offers a complete data privacy solution for big data. InfoSphere Optim helps you define privacy policies and identify and mask sensitive data across complex, big data infrastructures. With InfoSphere Optim, you can reduce risks, speed audits by 011, and reduce administrative costs by hundreds of thousands of dollars. The ultimate goal is to maintain the trust of your customers. 24 Data Security & Privacy - Get a holistic approach to protecting enterprise information

25 Data Lifecycle Governance - Effective data lifecycle governance means better application and database performance at reduced costs Manage data growth and retain information during application upgrades and retirement. Are you an information hoarder? Effectively manage data across its lifecycle The amount of business data is growing at a faster rate today than at any previous time in history, with a growth rate of 961 year over year, according to the Aberdeen Group s December 0100 Data Management for BI study. Not only are the storage needs increasing, but all the associated costs for managing and protecting that data are exploding as well. That s why IBM offers InfoSphere solutions for data lifecycle management. You ll find you can improve your application performance while managing the storage costs of your data. With IBM InfoSphere Optim solutions, enterprises can easily govern data throughout its lifecycle by creating and managing realistic test data, masking data in both development and production, and automating data archiving policy enforcement. 25 Data Lifecycle Governance - Effective data lifecycle governance means better application and database performance at reduced costs

26 Minimize the data explosion Reduce costs, improve application performance and minimize risks. In today s information economy, organizations are facing unfathomable data growth rates. In fact, Aberdeen Group estimates that data is growing at a rate of 961 year over year. And now, the big data phenomenon means data is growing in every single operational and analytic application. In fact, data is growing to the point that many organizations are facing impaired performance of their mission-critical applications, along with increasing costs associated with storing all of that data. To face this challenge, CSX Corporation is using IBM InfoSphere Optim to trim several years of production data and provide application performance improvements. By archiving, CSX is saving historical data on lower-cost storage media while maintaining easy access to it. In addition, CSX expects the more manageable database sizes to enable significant savings from reduced upgrade costs. And if required, archived data may be loaded to big data analytics systems such as Hadoop-based IBM InfoSphere BigInsights for historical analysis. Automate test data management Meet business demands with agile test and development environments. Now you can deliver high-quality operational and analytic applications faster by leveraging agile, ondemand test data management. The goal of quality testing is to ensure high-performing, optimized applications to support businesscritical functions. Proper testing requires the right test data. But many times, the test data is created manually and without any knowledge of the test cases for which it will be used. As a result, missed defects cause costly production outages an unacceptable outcome in today s ultra-competitive business environment. IBM InfoSphere offers a test data management solution that automates the creation of test data that is accurate, masked and valid. Developers and QA staff will be more productive. And your business leaders will earn a competitive advantage by having applications delivered on time, on budget and with less risk. 26 Data Lifecycle Governance - Effective data lifecycle governance means better application and database performance at reduced costs

27 Consolidate and retire applications Reduce costs while consolidating applications without compromising data. Facing retention requirements that can last from 3 to 01 years (or 91+ years for some industries), many organizations are reluctant to retire applications even after their capabilities have been superseded by other applications. But by ignoring data lifecycle management strategies and doing nothing, according to Aberdeen Group s research, the average organization could be dealing with total costs of 801$ million. When applications are retired, a lack of focus on data comes at a high cost and significant risk. Associated issues include: maintenance of redundant or legacy applications and the business data within them, manual data discovery, hand-coded integration and quality routines, and inefficient and manual test data management. IBM InfoSphere provides proven discovery, integration, quality and archiving capabilities to speed application consolidation with higher quality, while retaining the necessary data for compliance purposes. Organizations can streamline their application portfolios while intelligently archiving historical data in its original business context for retention compliance. With InfoSphere, your organization can optimize your entire application portfolio, decreasing both costs and risk. 27 Data Lifecycle Governance - Effective data lifecycle governance means better application and database performance at reduced costs