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Evaluator Group: IBM's Big Data Systems-a Portfolio Approach

Published By: IBM     Published Date: Nov 07, 2012
In this paper the Evaluator Group discusses the Big Data environment, IBM Systems' ability to run analytics processes against the rising tide of data and the new opportunities that organizational leaders face.
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ibm, big data, ibm systems, analytic processes, infosphere, data management, business technology, data center
    
IBM

Cloud Cross Program - System Z Solution Edition for Cloud Computing

Published By: IBM     Published Date: Dec 17, 2012
Combines industry-leading IBM System z server with Tivoli software and IBM services to create a service automation and management framework used for cloud computing workloads and use cases within the enterprise.
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system z, ibm, cloud computing, service automation, management framework, framework, data management, business technology, data center
    
IBM

IBM Security Services Cyber Security Intelligence Index for Financial Services

Published By: IBM     Published Date: Nov 05, 2014
This white paper provides insights into the current threat landscape for the financial services industry. Information is based on cyber security event data collected by IBM, as well as data derived from responding to, and performing forensics on, cyber security incidents.
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ibm, security, cyber security, business intelligence, financial services, protection, secure protection, business security, intelligence index, cybercrime, risk threat, it risk, information systems, secure content management
    
IBM

IBM Predictive Analytics Solution for Schools and Educational Systems (PASSES)

Published By: IBM     Published Date: Jul 23, 2015
IBM Predictive Analytics Solution for Schools and Educational Systems,PASSES,is a product and services offering that enables schools to improve student performance.
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predictive analytics solutions, educational systems, compliance, data analytics, student performance, ibm, passes
    
IBM

Blockchain benefits for electronics

Published By: IBM     Published Date: Apr 18, 2018
How IBM can help As one of the world’s leading research organizations, and one of the world’s top contributors to open source projects, IBM is committed to fostering the collaborative effort required to transform how people, governments and businesses transact and interact. IBM provides clients the blockchain technology fabric, consulting and systems integration capabilities to design and rapidly adopt distributed ledgers, digital identity and blockchain solutions. IBM helps clients leverage the global scale, business domain expertise and deep cloud integration experience required for the application of these technologies. Learn more at ibm.com/blockchain. The IBM Global Electronics practice uniquely combines IBM and partner services, hardware, software and research into integrated solutions that can help you deliver innovation, create differentiated customer experiences and optimize your global operations. Please visit ibm.com/electronics
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ibm, blockchain, electronics
    
IBM

5 steps to becoming a data-driven healthcare organization

Published By: IBM     Published Date: Mar 30, 2016
It is important for healthcare organizations to become data driven. IBM can help organizations leverage a wide range of big data to deliver clinical and financial benefits, and the provide the steps organizations should take to become data driven.
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ibm, healthcare, big data, healthcare analytics, enterprise analytics systems
    
IBM

Successful healthcare analytics begin with the right data blueprint

Published By: IBM     Published Date: Mar 30, 2016
This white paper discusses how enterprise analytics systems can assist provider organizations in building sustainable healthcare systems and achieving their vision for accountable care—from near-term demands for regulatory and quality reporting to transforming care delivery.
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ibm, healthcare analytics, healthcare, big data, enterprise analytics systems
    
IBM

LinuxONE: A Secure, Scalable Data-Serving Infrastructure Accelerates Digital Transformation

Published By: Group M_IBM Q418     Published Date: Sep 10, 2018
LinuxONE from IBM is an example of a secure data-serving infrastructure platform that is designed to meet the requirements of current-gen as well as next-gen apps. IBM LinuxONE is ideal for firms that want the following: ? Extreme security: Firms that put data privacy and regulatory concerns at the top of their requirements list will find that LinuxONE comes built in with best-in-class security features such as EAL5+ isolation, crypto key protection, and a Secure Service Container framework. ? Uncompromised data-serving capabilities: LinuxONE is designed for structured and unstructured data consolidation and optimized for running modern relational and nonrelational databases. Firms can gain deep and timely insights from a "single source of truth." ? Unique balanced system architecture: The nondegrading performance and scaling capabilities of LinuxONE — thanks to a unique shared memory and vertical scale architecture — make it suitable for workloads such as databases and systems of reco
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Group M_IBM Q418

GS Retail Co., Ltd.

Published By: IBM     Published Date: Sep 11, 2013
Improve your growth, lower your TCO & improve performance with IBM Smart Analytics System 5600
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gs retail co, ibm smart analytics system 5600, tco, performance, growth, retail, analytics
    
IBM

Cloud enabled business model innovation

Published By: IBM     Published Date: May 07, 2013
Companies worldwide are beginning to recognize cloud’s capabilities to generate new business models and promote sustainable competitive advantage. To manage and respond to these market pressures, IBM offers a comprehensive suite of system and software solutions that can help you scale your IT investments as your business grows. Read the white paper to understand all the benefits of IBM SmartCloud.
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cloud, business model, innovation, capabilities, advantage, ibm smartercloud
    
IBM

Three must-have capabilities for today's warehouse environment

Published By: IBM     Published Date: Apr 16, 2014
Speed, simplicity and affordability: 3 capabilities businesses need from their warehousing environment. IBM DB2 with BLU Acceleration gives organizations a complete, multipurpose environment to rapidly distill insight from their data, make timely decisions and capitalize on opportunities
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ibm, data warehouse, warehouse environment, speed, simplicity, affordibility, db2 with blu, acceleration, data warehousing, data system, data storage, infrastructure, infrastructure management
    
IBM

Running at the speed of business

Published By: IBM     Published Date: Apr 16, 2014
IBM DB2 offers multi-platform flexibility and optimized capabilities for a variety of workloads. This e-book highlights some common scenarios where DB2 helps businesses derive unprecedented value from expanding data stores—affordably and reliably.
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ibm, ibm db2, platform, flexibility, workload, data stores, agile, infrastructure, data systems, big data, multiplaform
    
IBM

The Big Deal about Big SQL? Introducing Relational DBMS Users to IBM SQL Technology for Hadoop

Published By: IBM     Published Date: May 02, 2014
This paper introduces you to Big SQL, answering many of the common questions that relational database management system (DBMS) users have about this IBM technology.
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ibm, big data, big sql, querying data, database management technology, apache hadoop, data administrators, infosphere, biginsights, industry-standard sql, management systems, database metadata, application programming interfaces, api, it management, application performance management, best practices, change management
    
IBM

Architecting a Big Data Platform for Analytics by Mike Ferguson

Published By: IBM     Published Date: May 02, 2014
These traditional analytical systems are often based on a classic pattern where data from multiple operational systems is captured, cleaned, transformed and integrated before loading it into a data warehouse.
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ibm, big data platform, architecting big data, analytics, intelligent business strategies, data complexity, data types, workload growth, workload complexity, big data analytic applications, operational decisions, multi-structured data, querying data, scalable data management, analytical ecosystem, hadoop solutions, it management, data management, best practices, business intelligence
    
IBM

The Forrester Wave™: Master Data Management Solutions

Published By: IBM     Published Date: May 28, 2014
The ability to keep pace with trends like big data, open data, sophisticated analytics, and the de-compartmentalization of data silos and processes, distinguishes leading master data management (MDM) solutions from their counterparts. IBM, one of the five vendors in this evaluation, is positioned as THE leader with the most prominent, widely implemented solution in the market.
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ibm, forrester, master data management, big data, database management technology, data administrators, infosphere, biginsights, industry-standard sql, management systems, database metadata, application programming interfaces, api, data persistence, virtualize data, lifecycle management, big data strategy, it management, data management, data center
    
IBM

IBM Threat Protection System

Published By: IBM     Published Date: Nov 05, 2014
IBM Threat Protection System is designed to proactively and dynamically address today’s tough enterprise security challenges - with an integrated, contextually-aware security approach that builds in next-generation prevention, comprehensive detection, and automated response capabilities.
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ibm, ibm threat protection, security, it security, protection system, threat protection system, prevention, detection
    
IBM

Metropolitan Corporate Counsel Article: Defensible Disposal of Data

Published By: IBM     Published Date: Aug 28, 2014
The Editor interviews Deidre Paknad, Vice President of IBM’s Information Lifecycle Governance (ILG) Solutions Business, former CEO of PSS Systems, and founder of the Compliance, Governance and Oversight Council (CGOC).
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information economics, ilg, data disposal, e-discovery, storage management, records management, productivity, data warehousing, infrastructure management
    
IBM

Edison: FIS Accelerates Global Banking with FlashSystem

Published By: IBM     Published Date: Sep 15, 2014
This white paper highlights how a real world FIS client’s utilization of IBM FlashSystem together with the FIS Profile® banking solution1 yielded dramatic performance improvements, truly accelerating the pace of global banking. This client has been an FIS outsourcing client for 14+ years and counting.
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global banking, banking solutions, fis outsourcing, banking information technology, flash technology, business activity monitoring, business analytics, business process automation, project management, service management
    
IBM

Flash Storage eBook: How to improve data center economics

Published By: IBM     Published Date: Sep 15, 2014
In business timing is everything, especially for business-critical applications. Delays in delivering critical data and processing can significantly increase business and financial risks. IBM’s new eBook FlashAhead discusses these challenges and offers up the all-flash storage system as a solution.
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data center economics, application performance, critical data, big data, flash storage, storage system, data management, storage management, storage virtualization, business activity monitoring
    
IBM

NC State on Big Data on IBM Power Systems for Critical Decision Making

Published By: IBM     Published Date: Sep 16, 2014
To compete in today’s rapidly changing business environment, organizations need to capture, analyze and act on information rapidly. If they can quickly identify trends, discover patterns and generate new insights, they can address a wide array of strategic and operational goals—from increasing customer loyalty and creating targeted marketing offers to enhancing operational efficiency and reducing risk. In their report, Business Value of Big Data on Power Systems, NC State University talks about unlocking the business value of big data, and how IBM Power Systems can deliver the foundation for organizations to bring insight to the point of impact faster.
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big data, targeted marketing offers, ibm power systems, structured data, data management, business analytics, business intelligence, business management
    
IBM

Best Practices for Deploying a virtualized infrastructure (Hurwitz & Associates)

Published By: IBM     Published Date: Sep 16, 2014
In a world that demands scalability, modularity, quality, fast performance and a best practices approach is key to ensuring predictable results for the business. IBM’s PowerLinux Open Source Infrastructure Services solution is a workload-optimized system that meets or exceeds best practices for a virtualized infrastructure at a reasonable price point. The PowerLinux solution can help turn today’s IT infrastructure into a well-tuned utility, providing a more flexible, scalable and valuable asset to the business.
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virtualized infrastructure, it infrastructure, deployment options, it management, best practices, business intelligence
    
IBM

Bon-Ton Stores: Maximizing Peak Capacity; Minimizing Stack Costs

Published By: IBM     Published Date: Sep 16, 2014
In 2013, Bon Ton Stores invested in upgrading IT, continuing to update and expand its eCommerce sites, and launching a new mobile site supporting delivery of promotions and online purchasing. A central aspect of this technology upgrade involved the replacement of an x86 server environment, supporting eCommerce with ten IBM® PowerLinux™ 7R2 servers and IBM PowerVM® running IBM WebSphere® Commerce on SUSE Linux operating systems. This case study highlights of some of the key aspects of this significant migration and its results, including how Bon-Ton IT executives support the business and what they prioritize, why they decided to make this move, what performance and capability resulted, and how it affected full data center costs and business resilience.
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stack costs, online purchasing, promotion delivery, mobile retail, application performance management, business analytics, business intelligence, customer experience management
    
IBM
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