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Published By: IBM     Published Date: Jan 06, 2016
What if your organization could take advantage of emerging business opportunities by deploying new applications faster?
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enterprise, applications, cloud, organization, best practices, business intelligence, cloud computing
    
IBM
Published By: IBM     Published Date: Jan 06, 2016
PureApplication Enterprise Grade System, Service, and Software Options
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hybrid cloud, ibm, software options, cloud strategy, enterprise, best practices, business intelligence, business management, productivity, cloud computing
    
IBM
Published By: IBM     Published Date: Jan 06, 2016
This brochure looks at how you can accelerate and simplify application delivery.
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application delivery, enterprise, hybrid cloud, management, ibm, business intelligence, business management, productivity
    
IBM
Published By: IBM     Published Date: Feb 02, 2016
Read this white paper to get an in-depth look at the benefits of embracing a digital business model, and find out how sports teams of all types can use cloud service providers with digital marketing and analytics tools to gain a competitive edge on the marketing playing field.
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ibm, sports, marketing, data, analytics, digital marketing, analytical applications, business intelligence
    
IBM
Published By: IBM     Published Date: Feb 02, 2016
Discover what it takes to deliver truly proactive care to customers and find out how active customer experience management can deliver significant business benefits in the form of cost savings, reduced churn, and increased revenue.
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ibm, customer management, customer loyalty, analytics, data, telecom, business analytics, customer relationship management, customer satisfaction, analytical applications, business intelligence
    
IBM
Published By: IBM     Published Date: Feb 02, 2016
Advanced analytics can provide extremelyvaluable insight into today’s media viewers. This must-read report details the top 10 best practices for successfully implementing data analytics for driving profit, attracting new viewers, and increasing viewer loyalty.
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ibm, big data, analytics, media, entertainment, data analytics, analytical applications, business intelligence, research
    
IBM
Published By: IBM     Published Date: Feb 02, 2016
Read this report to gain more insights from the Telecoms.com Intelligence survey, and learn why telecommunications operators need analytics to understand their customers—and maintain their loyalty.
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ibm. telecom, data, analytics, customer management, customer loyalty, business metrics, analytical applications, business intelligence, telecom
    
IBM
Published By: IBM     Published Date: Feb 02, 2016
Read this whitepaper published by Heavy Reading and sponsored by IBM to look at why network service quality matters to customer loyalty and CSP attitudes to improve it and discover how CSPs can correlate customer loyalty indicators like Net Promoter Scores with network and service quality metrics to help drive better business and operational performance
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ibm, telecom, analytics, customer management, customer loyalty, network service, business analytics, business intelligence, analytical applications
    
IBM
Published By: IBM     Published Date: May 17, 2016
Analyst Mike Ferguson of Intelligent Business Strategies writes about the enhanced role of transactional DBMS systems in today's world of Big Data. Learn more about how Big Data provides richer transactional data and how that data is captured and analyzed to meet tomorrow’s business needs. Access the report now.
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ibm, intelligent business solutions, big data, transaction data, business analytics, business intelligence
    
IBM
Published By: IBM     Published Date: May 17, 2016
Is your data architecture up to the challenge of the big data era? Can it manage workload demands, handle hybrid cloud environments and keep up with performance requirements? Here are six reasons why changing your database can help you take advantage of data and analytics innovations. 
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ibm, business analytics, business intelligence, data, analytics, database, database development, database security
    
IBM
Published By: IBM     Published Date: May 17, 2016
Wikibon conducted in-depth interviews with organizations that had achieved Big Data success and high rates of returns. These interviews determined an important generality: that Big Data winners focused on operationalizing and automating their Big Data projects. They used Inline Analytics to drive algorithms that directly connected to and facilitated automatic change in the operational systems-of-record. These algorithms were usually developed and supported by data tables derived using Deep Data Analytics from Big Data Hadoop systems and/or data warehouses. Instead of focusing on enlightening the few with pretty historical graphs, successful players focused on changing the operational systems for everybody and managed the feedback and improvement process from the company as a whole.
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ibm, big data, inline analytics, business analytics, roi, business intelligence
    
IBM
Published By: IBM     Published Date: Jul 05, 2016
This white paper discusses the concept of shared data scale-out clusters, as well as how they deliver continuous availability and why they are important for delivering scalable transaction processing support.
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ibm, always on business, cloud, big data, oltp, ibm db2 purescale, networking, knowledge management, enterprise applications, data management, data center
    
IBM
Published By: IBM     Published Date: Jul 05, 2016
This white paper is written for SAP customers evaluating their infrastructure choices, discussing database technology evolution and options available.
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ibm, always on business, analytics, database, database platform, sap, blu, db2, networking, knowledge management, enterprise applications, storage, data management
    
IBM
Published By: IBM     Published Date: Jul 05, 2016
This ebook presents six reasons why you should consider a database change, including opinions from industry analysts and real-world customer experiences. Read on to learn more.
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ibm, database, database change, analytics, networking, knowledge management, enterprise applications, platforms, storage, data management
    
IBM
Published By: IBM     Published Date: Jul 26, 2017
With the advent of big data, organizations worldwide are attempting to use data and analytics to solve problems previously out of their reach. Many are applying big data and analytics to create competitive advantage within their markets, often focusing on building a thorough understanding of their customer base. High-priority big data and analytics projects often target customer-centric outcomes such as improving customer loyalty or improving up-selling. In fact, an IBM Institute for Business Value study found that nearly half of all organizations with active big data pilots or implementations identified customer-centric outcomes as a top objective (see Figure 1).1 However, big data and analytics can also help companies understand how changes to products or services will impact customers, as well as address aspects of security and intelligence, risk and financial management, and operational optimization.
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customer analytics, data matching, big data, competitive advantage, customer loyalty
    
IBM
Published By: IBM     Published Date: Jul 26, 2017
A rewarding customer experience is the central aim for luxury gift company 1-800-Flowers.com: a fast, intuitive shopping process helps keep consumers loyal to its brands. Working with IBM, the company has built a master data management (MDM) system that helps deliver a more seamless experience to shoppers across multiple brands and channels.
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1 800 flowers, ibm, e-commerce, case study, master data management
    
IBM
Published By: IBM     Published Date: Jul 26, 2017
Business leaders are eager to harness the power of big data. However, as the opportunity increases, ensuring that source information is trustworthy and protected becomes exponentially more difficult. If not addressed directly, end users may lose confidence in the insights generated from their data—which can result in a failure to act on opportunities or against threats. Information integration and governance must be implemented within big data applications, providing appropriate governance and rapid integration from the start. By automating information integration and governance and employing it at the point of data creation, organizations can boost confidence in big data. A solid information integration and governance program must become a natural part of big data projects, supporting automated discovery, profiling and understanding of diverse data sets to provide context and enable employees to make informed decisions. It must be agile to accommodate a wide variety of data and seamle
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mdm, big data, automation, organization
    
IBM
Published By: IBM APAC     Published Date: Jul 19, 2019
To meet future demands, businesses need to take advantage of multicloud technology without replacing your current storage, yet ensure that it is fast, cost-efficient, scalable, and modern. The right storage solution can help businesses to respond rapidly, expand capacity, and lower costs. This infographic looks at how businesses can modernise their infrastructure by investing in the next generation of IBM Storwize V7000, which is easy to scale, deploys faster and accelerates business execution with end-to-end NVMe.
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IBM APAC
Published By: IBM APAC     Published Date: Jul 19, 2019
Requirements for secure, long-term data retention are common and increasingly stringent, with data volumes growing massively as a result. Tape storage offers a less costly long-term storage option than disk drives or flash. And, data stored on tape kept offline, or on write-once media, is nearly invulnerable to hacking. This white paper looks at the benefits that IBM TS4300 Tape Library can provide businesses.
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IBM APAC
Published By: IBM     Published Date: May 28, 2015
How COOs are making their operations more customer-centric.
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growth, customer experience, quality assurance, process acceleration, operations, customer satisfaction, customer service, business intelligence, data quality, productivity
    
IBM
Published By: IBM     Published Date: Jun 16, 2015
An IBM white paper describing the infrastructure implications of today’s converging technology forces and the software defined, next-generation data center transformation vital to capitalizing on them.
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enterprise infrastructure, big data, mobility, data center, it infrastructure, it security technologies, virtualizing infrastructure, converging technologies, analytics, mobile computing, application integration, best practices, business analytics, business intelligence, business process automation, risk management, server virtualization, database development, data integration, cloud computing
    
IBM
Published By: IBM     Published Date: Jun 16, 2015
Read the white paper to learn how a good data center strategy can help you prepare for the rigors and unpredictability of emerging technologies. Find out how IBM’s predictive analytics are helping companies build more accurate, forward-looking data center strategies and how those strategies are leading to more agile, efficient and resilient infrastructures.
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data center, predictive analytics, data center strategy, resilient infrastructure, cloud computing, social collaboration, business analytics, emerging technologies, virtualization, automation, infrastructure, mobile computing, mobile data systems, best practices, business activity monitoring, business process automation, enterprise software, server virtualization, collaboration, employee performance
    
IBM
Published By: IBM     Published Date: Jan 06, 2016
With IBM PureApplication Service, IT teams are no longer challenged to re-architect existing applications to make them cloud ready.
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ibm, enterprise, hybrid cloud, pureapplication, best practices, business intelligence, business management, productivity
    
IBM
Published By: IBM     Published Date: Jan 27, 2016
This paper describes how predictive analytics can play a critical role in your threat and risk strategy.
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ibm, threat, risk, management, security, analytics, fraud, enterprise applications
    
IBM
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