IBM Analytics. Just the facts: Four critical concepts for planning the logical data warehouse

Size: px
Start display at page:

Download "IBM Analytics. Just the facts: Four critical concepts for planning the logical data warehouse"

Transcription

1 IBM Analytics Just the facts: Four critical concepts for planning the logical data warehouse

2 Introduction Complexity Speed is businessfriendly Cost reduction is crucial Analytics: The key to current and future success Summary: Delivering the value of big data

3 Introduction: Is your warehouse holding you back? Perhaps you ve discovered that your firstgeneration warehouse is constraining your business. Or you ve already modernized your infrastructure but found the new warehouse inefficient. For example, some solutions deliver speedy analytics only with constant tuning and administration. Others solutions perpetuate the costs and complexity that you want to leave behind. Either way, it s time to rethink your data warehouse approach. The term logical data warehouse has been used to describe an approach that addresses some of these problems. The logical data warehouse breaks the function of the traditional data warehouse into logical blocks, with each block chosen for the particular characteristics of the data it is working with or the analytics required. While any number of reasons can prompt a change in data warehouse solutions, there are four key facts you need to know to help you make the right choice: 1. Complexity 2. Speed is 3. Cost reduction is crucial 4. Analytics: The key to current and future success This e-book will explore those facts and explain why they are essential when evaluating your data warehouse options. 3 1 Introduction 2 Complexity

4 Complexity Successful technologies make the difficult simple. Less successful technologies are unable to contain complexity, making the business lives of administrators and users harder. When warehouse infrastructure becomes more complex, the technical team spends most of its time managing and not innovating. Rather than working with their business peers to create value from data, they are consumed with database and storage administration. Although the warehouse contains valuable information, the technology team is left with too little time to engage and champion data-driven decision making within the organization s business functions. What s the answer? Warehouse designers and engineers must make simplicity and performance their primary goals, testing systems at each stage of development with the question: Can we make this simpler for end users? Look for systems designed to contain complexity, such as integrated appliances that help shorten setup time, eliminate unnecessary tuning and automate routine tasks. Integrated systems can help streamline analytics by consolidating all analytic activity in one place, where the data resides. Data scientists can build their models using all the enterprise data, and then iterate through different models much faster to arrive at the best solution. Once the model is developed, it can be seamlessly executed against the relevant data in the appliance. Users can get their predictive scores in near-real time, while the integrated infrastructure makes analytics available throughout the enterprise. 4

5 Accelerate and simplify analytics with appliances Big data generates complexity within traditional data warehouse architectures. Organizations need flexible, efficient technology strategies for manipulating data and developing applications, products and services faster. New technology innovations address these needs by consolidating functionality such as inmemory analytics, Apache Hadoop and cloud into a single, purpose-built, easy-to-manage system. This design evolution is guided by three core tenets: 1 2 Consolidate infrastructure to simplify analytics: Appliances and specialized systems reduce complexity by consolidating sprawling data marts into a small number of workload-optimized systems. Process workloads on fit-for-purpose platforms: Computation is mapped to appliances and systems specifically designed for well-understood workloads. These specialized systems offer optimal performance at affordable prices, while their simplicity accelerates time to value. 3 Coordinate system management and data governance across the enterprise: Centralize data management, not data and compute resources, to make data warehouse administration easy and affordable. By consolidating a sprawl of ungovernable data marts into far fewer purpose-built analytic appliances, IT teams can deliver the best price-performance for analytical queries, while streamlining administrative effort. This frees valuable technical staff to develop and deploy new business intelligence and analytics applications 5

6 Speed is Bringing data under management is just the first step in realizing business value. Across all sectors, industry leaders expect to analyze developments as they occur and then respond in near-real time. For example, healthcare professionals understand that patients benefit when analyses of big data sets are completed at high speed, enabling clinicians to take samples, run diagnostic tests, report results and provide advice, all within a single clinic appointment. The traditional data warehouse was designed to store and analyze historical information on the assumption that data would be captured now and analyzed later. It simply was not architected to support nearreal-time transactions or event processing. Yet the velocity of data being captured, processed and used is increasing. In fast-moving analytics markets, time to value has significant cost implications. Delays in bringing analytical applications into production can cost you significant revenue and profit opportunities. Within the telecommunications sector, for example, speed is the connection between effective data management and excelling at customer service. Manufacturers need to rapidly uncover defects in processes and products before they reverberate in the marketplace. Without the ability to manage and use data at the speed of business, organizations in all industries cannot respond to market opportunities in a timely way. 6

7 Providing real-time analysis of massive amounts of data requires modern data warehouse platforms. This does not necessarily mean existing enterprise data warehouses must be replaced, but they do need to be enhanced and extended. Look for next-generation data warehouse platforms with: Hardware and software specifically designed, integrated and tuned for high-performance analytics Real-time analysis that operates on data in motion, allowing you to understand data and events as they unfold Ability to perform analytics in-place without needing to move data, which slows down the process Integrated functionality such as Hadoop, in-memory or columnar technology to help accelerate analytic queries and boost performance We re getting deeper into the data in multiple ways... When we see new commonalities in treatments for children, we can design new protocols to provide the best possible care. Wendy Soethe Enterprise Data Warehouse Manager Seattle Children s Hospital 7

8 Cost reduction is crucial While making older technologies satisfy some new demands may be possible, the results are often inefficient and burdened with unnecessary costs. First-generation warehouses and appliances built on general-purpose database systems need constant care and feeding from teams of administrators. Many solutions require that multiple secondary data structures such as indexes and aggregates be designed, coded, implemented and tested on individual tables. These outdated information management burdens saddle organizations with long, costly duration implementation cycles. Older database systems can also create a feeling of being locked in, raising concerns that the costs of moving to a new technology may override the benefits. Look for solutions that make migrating to a new warehouse quick, easy and inexpensive. Weeks or months of tuning and load-testing a new processing node diminishes the value of a distributed system, where agility and adaptability should be primary benefits. Weeks or months of tuning and load-testing a new processing node diminishes the value of a distributed system. Linear scalability is essential to make adding a logical warehouse node simple and costeffective. This means organizations can pick the appropriately sized appliance to meet both their data volume and performance requirements, all with predictable, scalable performance and no need to add significant additional resources to manage the appliance as data volumes grow. Staff training is expensive, so choose a platform that shields administrators from complicated data management and enables business users to enjoy immediate access to their data as soon as the new system is installed. Reducing data management costs opens up additional resources to invest in the value-creating activities of advanced analytics. 8

9 Analytics: The key to The purpose behind data warehousing has always been to enable business analysis, bringing deeper understanding and new opportunities. Today, customers use of the web and smartphones is creating massive new data sets, many of them unstructured or semi-structured, that must be managed and analyzed along with existing enterprise data. As customers interact through their smartphones, new opportunities arise for engagement through marketing and customer support. These opportunities include ingesting newly created customer data in near-real time and analyzing it immediately in context of historic data to push a personalized response to a customer s smartphone. Seizing the opportunity in big data and analytics requires envisioning the future, moving analysis to the center of the business and proactively planning rather than passively reacting. I need some way to understand what they re thinking, what they re feeling, without having to have contact with them. PureData for Analytics is what s going to help us understand what the customers want when they walk into my stores. Paula Post Vice President Merchandising Optimization The Bon-Ton Stores 9

10 First-generation operational warehouses were not designed to manage data at today s volume and variety; their query performance is never fast enough. They typically analyze only subsets of available data and provide a historical perspective that can be applied to future decisions. Data warehouse workloads are different, typically reading extremely large data sets and then analyzing them to uncover threats and opportunities to find the needle in the haystack. Ideally, you need a solution that is optimized for analytics and is capable of: Keeping data up to date Making data instantly available for analysis Look for a setup that delivers fast query performance on analytic workloads, supports a flexible range of data warehouse users and provides sophisticated analytics to satisfy business intelligence requirements. You want a scalable, hardware-accelerated, massively parallel system that lets you gain insight from enormous data volumes without copying the data into a separate analytics server. Managing big data volumes while yielding valuable insights 10

11 Summary: Delivering the As technology allows IT to more effectively contribute to an organization, businesses need to quickly generate insight from information to accelerate informed decision making and address user demands for mobility and self-service. Meeting these challenges requires solutions capable of delivering a unique combination of speed, simplicity and efficiency, along with the ability to seamlessly integrate with other information sources to realize the value inherent in big data analytics. Data warehouse appliance + Built-in in-database analytic capability, advanced security and integration with third-party tools Business intelligence IBM Cognos Business Intelligence Data integration and transformation IBM InfoSphere DataStage and InfoSphere Data Click Hadoop data services IBM BigInsights for Apache Hadoop Exceptional value Real-time analytics IBM InfoSphere Streams Developer Edition Powering the logical data warehouse IBM Fluid Query Move to a modern approach Companies should align their data warehouse platform choices with their plans for business growth and expansion. This requires an approach that looks beyond traditional warehouses and appliances built Figure 1. Unlocking data s potential: IBM PureData System for Analytics N3001 on general-purpose database systems. IBM PureData System for Analytics N3001 the next generation of the IBM PureData System for Analytics family of appliances is designed with these facts in mind. The high-performance, massively parallel system enables organizations to gain insight from their data and perform analytics on enormous data volumes (see Figure 1). 11

12 To facilitate this insight, the IBM Fluid Query capability unifies data access across the logical data warehouse by providing access to data in Hadoop from PureData System for Analytics appliances. Fluid Query 1.0 enables the fast movement of data between common Hadoop systems and PureData System for Analytics appliances. Powered by IBM Netezza technology, the PureData System for Analytics N3001 delivers: A purpose-built design that accommodates standards-based data and architecturally integrates database, server, storage and advanced analytics capabilities into a single, easyto-manage system Hardware with an accelerated massively parallel-processing design that is specifically optimized for running complex analytics on large data volumes at high speeds The proven performance, scalability, intelligence and simplicity to help organizations dive deep into their data The PureData System for Analytics family includes advanced security and models ranging from Mini-appliances to 8-rack systems. The appliances are designed to deliver the proven performance, value and simplicity organizations need to extract insights hidden in their massive amounts of data. The N3001 model comes ready to deliver extra value with software entitlements to business intelligence and Hadoop starter kits. It requires minimal ongoing administration or tuning, and offers immediate data loading and query execution following installation. The performance of PureData is very good; most reports we have are running in less than 5 seconds whereas with other databases we had reports running for minutes. Philippe Chartier BI Team Lead, Information Delivery Canadian National Railway Company 12

13 For more information To learn more about IBM PureData System for Analytics, check out the following resources: White paper: Simple is Still Better Embrace Speed & Simplicity for a Competitive Edge Watch live and recorded Virtual Enzee webinars #Enzee PureData-Enzee Community 13

14 Copyright IBM Corporation 2015 IBM Analytics Route 100 Somers, NY Produced in the United States of America June 2015 IBM, the IBM logo, ibm.com, BigInsights, Cognos, DataStage, InfoSphere, and PureData are trademarks of International Business Machines Corp., registered in many jurisdictions worldwide. Other product and service names might be trademarks of IBM or other companies. A current list of IBM trademarks is available on the web at Copyright and trademark information at ibm.com/legal/copytrade.shtml Netezza is a trademark or registered trademark of IBM International Group B.V., an IBM Company. This document is current as of the initial date of publication and may be changed by IBM at any time. Not all offerings are available in every country in which IBM operates. THE INFORMATION IN THIS DOCUMENT IS PROVIDED AS IS WITHOUT ANY WARRANTY, EXPRESS OR IMPLIED, INCLUDING WITHOUT ANY WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND ANY WARRANTY OR CONDITION OF NON-INFRINGEMENT. IBM products are warranted according to the terms and conditions of the agreements under which they are provided. Please Recycle WAM12354-USEN-00

IBM System x reference architecture solutions for big data

IBM System x reference architecture solutions for big data IBM System x reference architecture solutions for big data Easy-to-implement hardware, software and services for analyzing data at rest and data in motion Highlights Accelerates time-to-value with scalable,

More information

High-Performance Business Analytics: SAS and IBM Netezza Data Warehouse Appliances

High-Performance Business Analytics: SAS and IBM Netezza Data Warehouse Appliances High-Performance Business Analytics: SAS and IBM Netezza Data Warehouse Appliances Highlights IBM Netezza and SAS together provide appliances and analytic software solutions that help organizations improve

More information

IBM Software Cloud service delivery and management

IBM Software Cloud service delivery and management IBM Software Cloud service delivery and management Rethink IT. Reinvent business. 2 Cloud service delivery and management Virtually unparalleled change and complexity On this increasingly instrumented,

More information

Harnessing big data for healthcare

Harnessing big data for healthcare Harnessing big data for healthcare Build a strong foundation for breakaway analytics capabilities with IBM solutions Highlights Gain greater insight and actionable intelligence by applying big data technology

More information

IBM Software Hadoop in the cloud

IBM Software Hadoop in the cloud IBM Software Hadoop in the cloud Leverage big data analytics easily and cost-effectively with IBM InfoSphere 1 2 3 4 5 Introduction Cloud and analytics: The new growth engine Enhancing Hadoop in the cloud

More information

Getting the most out of big data

Getting the most out of big data IBM Software White Paper Financial Services Getting the most out of big data How banks can gain fresh customer insight with new big data capabilities 2 Getting the most out of big data Banks thrive on

More information

IBM PureFlex System. The infrastructure system with integrated expertise

IBM PureFlex System. The infrastructure system with integrated expertise IBM PureFlex System The infrastructure system with integrated expertise 2 IBM PureFlex System IT is moving to the strategic center of business Over the last 100 years information technology has moved from

More information

Data virtualization: Delivering on-demand access to information throughout the enterprise

Data virtualization: Delivering on-demand access to information throughout the enterprise IBM Software Thought Leadership White Paper April 2013 Data virtualization: Delivering on-demand access to information throughout the enterprise 2 Data virtualization: Delivering on-demand access to information

More information

Optimize workloads to achieve success with cloud and big data

Optimize workloads to achieve success with cloud and big data IBM Software Thought Leadership White Paper December 2012 Optimize workloads to achieve success with cloud and big data Intelligent, integrated, cloud-enabled workload automation can improve agility and

More information

The IBM Cognos family

The IBM Cognos family IBM Software Business Analytics Cognos software The IBM Cognos family Analytics in the hands of everyone who needs it The IBM Cognos family Overview Business intelligence (BI) and business analytics have

More information

Tapping the power of big data for the oil and gas industry

Tapping the power of big data for the oil and gas industry IBM Software White Paper Petroleum Industry Tapping the power of big data for the oil and gas industry 2 Tapping the power of big data for the oil and gas industry The petroleum industry is no stranger

More information

IBM Data Warehousing and Analytics Portfolio Summary

IBM Data Warehousing and Analytics Portfolio Summary IBM Information Management IBM Data Warehousing and Analytics Portfolio Summary Information Management Mike McCarthy IBM Corporation mmccart1@us.ibm.com IBM Information Management Portfolio Current Data

More information

The IBM Cognos Platform

The IBM Cognos Platform The IBM Cognos Platform Deliver complete, consistent, timely information to all your users, with cost-effective scale Highlights Reach all your information reliably and quickly Deliver a complete, consistent

More information

IBM Software Delivering trusted information for the modern data warehouse

IBM Software Delivering trusted information for the modern data warehouse Delivering trusted information for the modern data warehouse Make information integration and governance a best practice in the big data era Contents 2 Introduction In ever-changing business environments,

More information

A financial software company

A financial software company A financial software company Projecting USD10 million revenue lift with the IBM Netezza data warehouse appliance Overview The need A financial software company sought to analyze customer engagements to

More information

IBM BigInsights for Apache Hadoop

IBM BigInsights for Apache Hadoop IBM BigInsights for Apache Hadoop Efficiently manage and mine big data for valuable insights Highlights: Enterprise-ready Apache Hadoop based platform for data processing, warehousing and analytics Advanced

More information

Fiserv. Saving USD8 million in five years and helping banks improve business outcomes using IBM technology. Overview. IBM Software Smarter Computing

Fiserv. Saving USD8 million in five years and helping banks improve business outcomes using IBM technology. Overview. IBM Software Smarter Computing Fiserv Saving USD8 million in five years and helping banks improve business outcomes using IBM technology Overview The need Small and midsize banks and credit unions seek to attract, retain and grow profitable

More information

Addressing government challenges with big data analytics

Addressing government challenges with big data analytics IBM Software White Paper Government Addressing government challenges with big data analytics 2 Addressing government challenges with big data analytics Contents 2 Introduction 4 How big data analytics

More information

IBM Software Integrating and governing big data

IBM Software Integrating and governing big data IBM Software big data Does big data spell big trouble for integration? Not if you follow these best practices 1 2 3 4 5 Introduction Integration and governance requirements Best practices: Integrating

More information

Delivering new insights and value to consumer products companies through big data

Delivering new insights and value to consumer products companies through big data IBM Software White Paper Consumer Products Delivering new insights and value to consumer products companies through big data 2 Delivering new insights and value to consumer products companies through big

More information

Business Analytics for Big Data

Business Analytics for Big Data IBM Software Business Analytics Big Data Business Analytics for Big Data Unlock value to fuel performance 2 Business Analytics for Big Data Contents 2 Introduction 3 Extracting insights from big data 4

More information

IBM DB2 Near-Line Storage Solution for SAP NetWeaver BW

IBM DB2 Near-Line Storage Solution for SAP NetWeaver BW IBM DB2 Near-Line Storage Solution for SAP NetWeaver BW A high-performance solution based on IBM DB2 with BLU Acceleration Highlights Help reduce costs by moving infrequently used to cost-effective systems

More information

Predictive analytics with System z

Predictive analytics with System z Predictive analytics with System z Faster, broader, more cost effective access to critical insights Highlights Optimizes high-velocity decisions that can consistently generate real business results Integrates

More information

Solutions for Communications with IBM Netezza Network Analytics Accelerator

Solutions for Communications with IBM Netezza Network Analytics Accelerator Solutions for Communications with IBM Netezza Analytics Accelerator The all-in-one network intelligence appliance for the telecommunications industry Highlights The Analytics Accelerator combines speed,

More information

Harnessing the power of advanced analytics with IBM Netezza

Harnessing the power of advanced analytics with IBM Netezza IBM Software Information Management White Paper Harnessing the power of advanced analytics with IBM Netezza How an appliance approach simplifies the use of advanced analytics Harnessing the power of advanced

More information

IBM Cognos Insight. Independently explore, visualize, model and share insights without IT assistance. Highlights. IBM Software Business Analytics

IBM Cognos Insight. Independently explore, visualize, model and share insights without IT assistance. Highlights. IBM Software Business Analytics Independently explore, visualize, model and share insights without IT assistance Highlights Explore, analyze, visualize and share your insights independently, without relying on IT for assistance. Work

More information

IBM Analytical Decision Management

IBM Analytical Decision Management IBM Analytical Decision Management Deliver better outcomes in real time, every time Highlights Organizations of all types can maximize outcomes with IBM Analytical Decision Management, which enables you

More information

IBM Cognos 10: Enhancing query processing performance for IBM Netezza appliances

IBM Cognos 10: Enhancing query processing performance for IBM Netezza appliances IBM Software Business Analytics Cognos Business Intelligence IBM Cognos 10: Enhancing query processing performance for IBM Netezza appliances 2 IBM Cognos 10: Enhancing query processing performance for

More information

Marc Andrews Vice President, Big Data Industry Team Presented by Kirk Boothe Worldwide Big Data Enablement. Big Data and Analytics

Marc Andrews Vice President, Big Data Industry Team Presented by Kirk Boothe Worldwide Big Data Enablement. Big Data and Analytics Marc Andrews Vice President, Big Data Industry Team Presented by Kirk Boothe Worldwide Big Data Enablement Big Data and Analytics How is Big Data transforming the way organizations analyze and generate

More information

Big Data overview. Livio Ventura. SICS Software week, Sept 23-25 Cloud and Big Data Day

Big Data overview. Livio Ventura. SICS Software week, Sept 23-25 Cloud and Big Data Day Big Data overview SICS Software week, Sept 23-25 Cloud and Big Data Day Livio Ventura Big Data European Industry Leader for Telco, Energy and Utilities and Digital Media Agenda some data on Data Big Data

More information

Achieving customer loyalty with customer analytics

Achieving customer loyalty with customer analytics IBM Software Business Analytics Customer Analytics Achieving customer loyalty with customer analytics 2 Achieving customer loyalty with customer analytics Contents 2 Overview 3 Using satisfaction to drive

More information

A business intelligence agenda for midsize organizations: Six strategies for success

A business intelligence agenda for midsize organizations: Six strategies for success IBM Software Business Analytics IBM Cognos Business Intelligence A business intelligence agenda for midsize organizations: Six strategies for success A business intelligence agenda for midsize organizations:

More information

BLACKICE ERA and PureData System for Analytics

BLACKICE ERA and PureData System for Analytics BLACKICE ERA and PureData System for Analytics Address new and evolving regulations and best practices Highlights Utilize 120+ best practices reports in Cognos and Excel; prepackaged and complete with

More information

IBM SmartCloud for Service Providers

IBM SmartCloud for Service Providers IBM SmartCloud for Service Providers Launch new cloud services simply and quickly to increase revenue Highlights Offers a pre-integrated, pre-configured, building-block approach to cloud services delivery

More information

Predictive Analytics for Donor Management

Predictive Analytics for Donor Management IBM Software Business Analytics IBM SPSS Predictive Analytics Predictive Analytics for Donor Management Predictive Analytics for Donor Management Contents 2 Overview 3 The challenges of donor management

More information

IBM Cognos Enterprise: Powerful and scalable business intelligence and performance management

IBM Cognos Enterprise: Powerful and scalable business intelligence and performance management : Powerful and scalable business intelligence and performance management Highlights Arm every user with the analytics they need to act Support the way that users want to work with their analytics Meet

More information

IBM InfoSphere Optim Test Data Management

IBM InfoSphere Optim Test Data Management IBM InfoSphere Optim Test Data Management Highlights Create referentially intact, right-sized test databases or data warehouses Automate test result comparisons to identify hidden errors and correct defects

More information

IBM InfoSphere Guardium Data Activity Monitor for Hadoop-based systems

IBM InfoSphere Guardium Data Activity Monitor for Hadoop-based systems IBM InfoSphere Guardium Data Activity Monitor for Hadoop-based systems Proactively address regulatory compliance requirements and protect sensitive data in real time Highlights Monitor and audit data activity

More information

IBM System x and VMware solutions

IBM System x and VMware solutions IBM Systems and Technology Group Cross Industry IBM System x and VMware solutions Enabling your cloud journey 2 IBM System X and VMware solutions As companies require higher levels of flexibility from

More information

The IBM Cognos family

The IBM Cognos family IBM Software Business Analytics Cognos Software The IBM Cognos family Analytics in the hands of everyone who needs it 2 The IBM Cognos Family Overview Business intelligence (BI) and business analytics

More information

IBM Software Wrangling big data: Fundamentals of data lifecycle management

IBM Software Wrangling big data: Fundamentals of data lifecycle management IBM Software Wrangling big data: Fundamentals of data management How to maintain data integrity across production and archived data Wrangling big data: Fundamentals of data management 1 2 3 4 5 6 Introduction

More information

The business value of improved backup and recovery

The business value of improved backup and recovery IBM Software Thought Leadership White Paper January 2013 The business value of improved backup and recovery The IBM Butterfly Analysis Engine uses empirical data to support better business results 2 The

More information

Tap into Big Data at the Speed of Business

Tap into Big Data at the Speed of Business SAP Brief SAP Technology SAP Sybase IQ Objectives Tap into Big Data at the Speed of Business A simpler, more affordable approach to Big Data analytics A simpler, more affordable approach to Big Data analytics

More information

Focus on the business, not the business of data warehousing!

Focus on the business, not the business of data warehousing! Focus on the business, not the business of data warehousing! Adam M. Ronthal Technical Product Marketing and Strategy Big Data, Cloud, and Appliances @ARonthal 1 Disclaimer Copyright IBM Corporation 2014.

More information

Premier. Helping healthcare providers deliver the best possible care to their patients. Smart is...

Premier. Helping healthcare providers deliver the best possible care to their patients. Smart is... Premier Helping healthcare providers deliver the best possible care to their patients Smart is... Sharing and analyzing healthcare information to help physicians identify the best treatments for their

More information

Build an effective data integration strategy to drive innovation

Build an effective data integration strategy to drive innovation IBM Software Thought Leadership White Paper September 2010 Build an effective data integration strategy to drive innovation Five questions business leaders must ask 2 Build an effective data integration

More information

IBM PureApplication System for IBM WebSphere Application Server workloads

IBM PureApplication System for IBM WebSphere Application Server workloads IBM PureApplication System for IBM WebSphere Application Server workloads Use IBM PureApplication System with its built-in IBM WebSphere Application Server to optimally deploy and run critical applications

More information

Poslovni slučajevi upotrebe IBM Netezze

Poslovni slučajevi upotrebe IBM Netezze Poslovni slučajevi upotrebe IBM Netezze data at the Speed and with Simplicity businesses need 25. ožujak 2015. vedran.travica@hr.ibm.com Agenda A. IBM PureData for Analytics Netezza B. Scenarij 1.: Novi

More information

HP and Business Objects Transforming information into intelligence

HP and Business Objects Transforming information into intelligence HP and Business Objects Transforming information into intelligence 1 Empowering your organization Intelligence: the ability to acquire and apply knowledge. For businesses today, gaining intelligence means

More information

IBM SPSS Modeler Professional

IBM SPSS Modeler Professional IBM SPSS Modeler Professional Make better decisions through predictive intelligence Highlights Create more effective strategies by evaluating trends and likely outcomes. Easily access, prepare and model

More information

Achieving business agility and cost optimization by reducing IT complexity. The value of adding ESB enrichment to your existing messaging solution

Achieving business agility and cost optimization by reducing IT complexity. The value of adding ESB enrichment to your existing messaging solution Smart SOA application integration with WebSphere software To support your business objectives Achieving business agility and cost optimization by reducing IT complexity. The value of adding ESB enrichment

More information

IBM SmartCloud Monitoring

IBM SmartCloud Monitoring IBM SmartCloud Monitoring Gain greater visibility and optimize virtual and cloud infrastructure Highlights Enhance visibility into cloud infrastructure performance Seamlessly drill down from holistic cloud

More information

Strengthen security with intelligent identity and access management

Strengthen security with intelligent identity and access management Strengthen security with intelligent identity and access management IBM Security solutions help safeguard user access, boost compliance and mitigate insider threats Highlights Enable business managers

More information

Datalogix. Using IBM Netezza data warehouse appliances to drive online sales with offline data. Overview. IBM Software Information Management

Datalogix. Using IBM Netezza data warehouse appliances to drive online sales with offline data. Overview. IBM Software Information Management Datalogix Using IBM Netezza data warehouse appliances to drive online sales with offline data Overview The need Infrastructure could not support the growing online data volumes and analysis required The

More information

Easily deploy and move enterprise applications in the cloud

Easily deploy and move enterprise applications in the cloud Easily deploy and move enterprise applications in the cloud IBM PureApplication solutions offer a simple way to implement a dynamic hybrid cloud environment 2 Easily deploy and move enterprise applications

More information

Solve your toughest challenges with data mining

Solve your toughest challenges with data mining IBM Software Business Analytics IBM SPSS Modeler Solve your toughest challenges with data mining Use predictive intelligence to make good decisions faster 2 Solve your toughest challenges with data mining

More information

Capitalizing on the power of big data for retail

Capitalizing on the power of big data for retail IBM Software Big Data Retail Capitalizing on the power of big data for retail Adopt new approaches to keep customers engaged, maintain a competitive edge and maximize profitability 2 Capitalizing on the

More information

IBM Security Intrusion Prevention Solutions

IBM Security Intrusion Prevention Solutions IBM Security Intrusion Prevention Solutions Sarah Cucuz sarah.cucuz@spyders.ca IBM Software Solution Brief IBM Security intrusion prevention solutions In-depth protection for networks, servers, endpoints

More information

Safeguarding the cloud with IBM Dynamic Cloud Security

Safeguarding the cloud with IBM Dynamic Cloud Security Safeguarding the cloud with IBM Dynamic Cloud Security Maintain visibility and control with proven security solutions for public, private and hybrid clouds Highlights Extend enterprise-class security from

More information

HP Vertica OnDemand. Vertica OnDemand. Enterprise-class Big Data analytics in the cloud. Enterprise-class Big Data analytics for any size organization

HP Vertica OnDemand. Vertica OnDemand. Enterprise-class Big Data analytics in the cloud. Enterprise-class Big Data analytics for any size organization Data sheet HP Vertica OnDemand Enterprise-class Big Data analytics in the cloud Enterprise-class Big Data analytics for any size organization Vertica OnDemand Organizations today are experiencing a greater

More information

IBM Content Analytics adds value to Cognos BI

IBM Content Analytics adds value to Cognos BI IBM Software IBM Industry Solutions IBM Content Analytics adds value to Cognos BI 2 IBM Content Analytics adds value to Cognos BI Analyzing unstructured information It is generally accepted that about

More information

IBM Software Information Management Creating an Integrated, Optimized, and Secure Enterprise Data Platform:

IBM Software Information Management Creating an Integrated, Optimized, and Secure Enterprise Data Platform: Creating an Integrated, Optimized, and Secure Enterprise Data Platform: IBM PureData System for Transactions with SafeNet s ProtectDB and DataSecure Table of contents 1. Data, Data, Everywhere... 3 2.

More information

For healthcare, change is in the air and in the cloud

For healthcare, change is in the air and in the cloud IBM Software Healthcare Thought Leadership White Paper For healthcare, change is in the air and in the cloud Scalable and secure private cloud solutions can meet the challenges of healthcare transformation

More information

IBM Netezza High Capacity Appliance

IBM Netezza High Capacity Appliance IBM Netezza High Capacity Appliance Petascale Data Archival, Analysis and Disaster Recovery Solutions IBM Netezza High Capacity Appliance Highlights: Allows querying and analysis of deep archival data

More information

IBM Analytics The fluid data layer: The future of data management

IBM Analytics The fluid data layer: The future of data management IBM Analytics The fluid data layer: The future of data management Why flexibility and adaptability are crucial in the hybrid cloud world 1 2 3 4 5 6 The new world vision for data architects Why the fluid

More information

IBM InfoSphere BigInsights Enterprise Edition

IBM InfoSphere BigInsights Enterprise Edition IBM InfoSphere BigInsights Enterprise Edition Efficiently manage and mine big data for valuable insights Highlights Advanced analytics for structured, semi-structured and unstructured data Professional-grade

More information

IBM InfoSphere Information Server Ready to Launch for SAP Applications

IBM InfoSphere Information Server Ready to Launch for SAP Applications IBM Information Server Ready to Launch for SAP Applications Drive greater business value and help reduce risk for SAP consolidations Highlights Provides a complete solution that couples data migration

More information

Dell* In-Memory Appliance for Cloudera* Enterprise

Dell* In-Memory Appliance for Cloudera* Enterprise Built with Intel Dell* In-Memory Appliance for Cloudera* Enterprise Find out what faster big data analytics can do for your business The need for speed in all things related to big data is an enormous

More information

IBM Storwize V5000. Designed to drive innovation and greater flexibility with a hybrid storage solution. Highlights. IBM Systems Data Sheet

IBM Storwize V5000. Designed to drive innovation and greater flexibility with a hybrid storage solution. Highlights. IBM Systems Data Sheet IBM Storwize V5000 Designed to drive innovation and greater flexibility with a hybrid storage solution Highlights Customize your storage system with flexible software and hardware options Boost performance

More information

Why Big Data? Why Now?

Why Big Data? Why Now? Ellis Holman Why Big Data? Why Now? Information is at the Center of a New Wave of Opportunity 44x as much Data and Content Over Coming Decade 2020 35 zettabytes And Organizations Need Deeper Insights 1in3

More information

Solve your toughest challenges with data mining

Solve your toughest challenges with data mining IBM Software IBM SPSS Modeler Solve your toughest challenges with data mining Use predictive intelligence to make good decisions faster Solve your toughest challenges with data mining Imagine if you could

More information

IBM Unstructured Data Identification and Management

IBM Unstructured Data Identification and Management IBM Unstructured Data Identification and Management Discover, recognize, and act on unstructured data in-place Highlights Identify data in place that is relevant for legal collections or regulatory retention.

More information

Integrate and Deliver Trusted Data and Enable Deep Insights

Integrate and Deliver Trusted Data and Enable Deep Insights SAP Technical Brief SAP s for Enterprise Information Management SAP Data Services Objectives Integrate and Deliver Trusted Data and Enable Deep Insights Provide a wide-ranging view of enterprise information

More information

Extending the Power of Analytics with a Proven Data Warehousing. Solution

Extending the Power of Analytics with a Proven Data Warehousing. Solution SAP Brief SAP s for Small Businesses and Midsize Companies SAP IQ, Edge Edition Objectives Extending the Power of Analytics with a Proven Data Warehousing Uncover deep insights and reach new heights Uncover

More information

IBM Cognos Business Intelligence on Cloud

IBM Cognos Business Intelligence on Cloud IBM Cognos Business Intelligence on Cloud Operate and succeed at a new business speed Highlights Take advantage of world-class reporting, analysis, dashboards and visualization capabilities offered as

More information

Continuing the MDM journey

Continuing the MDM journey IBM Software White paper Information Management Continuing the MDM journey Extending from a virtual style to a physical style for master data management 2 Continuing the MDM journey Organizations implement

More information

Move beyond monitoring to holistic management of application performance

Move beyond monitoring to holistic management of application performance Move beyond monitoring to holistic management of application performance IBM SmartCloud Application Performance Management: Actionable insights to minimize issues Highlights Manage critical applications

More information

Making confident decisions with the full spectrum of analysis capabilities

Making confident decisions with the full spectrum of analysis capabilities IBM Software Business Analytics Analysis Making confident decisions with the full spectrum of analysis capabilities Making confident decisions with the full spectrum of analysis capabilities Contents 2

More information

HADOOP SOLUTION USING EMC ISILON AND CLOUDERA ENTERPRISE Efficient, Flexible In-Place Hadoop Analytics

HADOOP SOLUTION USING EMC ISILON AND CLOUDERA ENTERPRISE Efficient, Flexible In-Place Hadoop Analytics HADOOP SOLUTION USING EMC ISILON AND CLOUDERA ENTERPRISE Efficient, Flexible In-Place Hadoop Analytics ESSENTIALS EMC ISILON Use the industry's first and only scale-out NAS solution with native Hadoop

More information

IBM PureData System for Operational Analytics

IBM PureData System for Operational Analytics IBM PureData System for Operational Analytics An integrated, high-performance data system for operational analytics Highlights Provides an integrated, optimized, ready-to-use system with built-in expertise

More information

IBM Netezza 1000. High-performance business intelligence and advanced analytics for the enterprise. The analytics conundrum

IBM Netezza 1000. High-performance business intelligence and advanced analytics for the enterprise. The analytics conundrum IBM Netezza 1000 High-performance business intelligence and advanced analytics for the enterprise Our approach to data analysis is patented and proven. Minimize data movement, while processing it at physics

More information

Cloud storage is strategically inevitable

Cloud storage is strategically inevitable Cloud storage is strategically inevitable IBM can help in preparing for a successful cloud storage deployment Highlights Use cloud technology to enable speed and innovation by empowering users and communities

More information

IBM Software Database strategies for the world of big data

IBM Software Database strategies for the world of big data Database strategies for the world of big data Gain competitive advantage and reduce IT resource requirements with modern database technologies Table of contents Click on the titles below to jump directly

More information

Using the cloud to improve business resilience

Using the cloud to improve business resilience IBM Global Technology Services White Paper IBM Business Continuity and Resiliency Services Using the cloud to improve business resilience Choose the right managed services provider to limit reputational

More information

IBM Tivoli Netcool network management solutions for SMB

IBM Tivoli Netcool network management solutions for SMB IBM Netcool network management solutions for SMB An integrated approach enhances IT as it supports business needs for the SMB environment Highlights Automate management tasks to reduce IT workload and

More information

Making critical connections: predictive analytics in government

Making critical connections: predictive analytics in government Making critical connections: predictive analytics in government Improve strategic and tactical decision-making Highlights: Support data-driven decisions using IBM SPSS Modeler Reduce fraud, waste and abuse

More information

Manage student performance in real time

Manage student performance in real time Manage student performance in real time Predict better academic outcomes with IBM Predictive Analytics for Student Performance Highlights Primary and secondary school districts nationwide are looking for

More information

Bytemobile, IBM and Datatrend speed optimization and monetization

Bytemobile, IBM and Datatrend speed optimization and monetization Datatrend TECHNOLOGIES INC. Taking IT Beyond Bytemobile, IBM and Datatrend speed optimization and monetization Combined software and hardware solution sharpens network control and traffic management to

More information

Five Technology Trends for Improved Business Intelligence Performance

Five Technology Trends for Improved Business Intelligence Performance TechTarget Enterprise Applications Media E-Book Five Technology Trends for Improved Business Intelligence Performance The demand for business intelligence data only continues to increase, putting BI vendors

More information

Simplify security management in the cloud

Simplify security management in the cloud Simplify security management in the cloud IBM Endpoint Manager and IBM SmartCloud offerings provide complete cloud protection Highlights Ensure security of new cloud services by employing scalable, optimized

More information

Oracle Data Integrator 12c (ODI12c) - Powering Big Data and Real-Time Business Analytics. An Oracle White Paper October 2013

Oracle Data Integrator 12c (ODI12c) - Powering Big Data and Real-Time Business Analytics. An Oracle White Paper October 2013 An Oracle White Paper October 2013 Oracle Data Integrator 12c (ODI12c) - Powering Big Data and Real-Time Business Analytics Introduction: The value of analytics is so widely recognized today that all mid

More information

IBM Enterprise Linux Server

IBM Enterprise Linux Server IBM Systems and Technology Group February 2011 IBM Enterprise Linux Server Impressive simplification with leading scalability, high availability and security Table of Contents Executive Summary...2 Our

More information

IBM Cognos Analysis for Microsoft Excel

IBM Cognos Analysis for Microsoft Excel IBM Cognos Analysis for Microsoft Excel Explore and analyze data in a familiar spreadsheet format Highlights Explore and analyze data drawn from IBM Cognos TM1 models and IBM Cognos Business Intelligence

More information

IBM InfoSphere: Solutions for retail

IBM InfoSphere: Solutions for retail IBM Software Solution Brief IBM InfoSphere: Solutions for retail Build a single view of customer information and a trusted source for product information with data integration and master data management

More information