ibm

Results 251 - 275 of 3784Sort Results By: Published Date | Title | Company Name
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
Tags : 
ibm, telecom, analytics, customer management, customer loyalty, network service, data science
    
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.
Tags : 
ibm, intelligent business solutions, big data, transaction data, business analytics
    
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. 
Tags : 
ibm, business analytics, business intelligence, data, analytics, database
    
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.
Tags : 
ibm, big data, inline analytics, business analytics, roi
    
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.
Tags : 
ibm, always on business, cloud, big data, oltp, ibm db2 purescale, networking, knowledge management
    
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.
Tags : 
ibm, always on business, analytics, database, database platform, sap, blu, db2
    
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.
Tags : 
ibm, database, database change, analytics, networking, knowledge management, enterprise applications, platforms
    
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.
Tags : 
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.
Tags : 
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
Tags : 
mdm, big data, automation, organization
    
IBM
Published By: IBM     Published Date: May 28, 2015
How COOs are making their operations more customer-centric.
Tags : 
growth, customer experience, quality assurance, process acceleration, operations
    
IBM
Published By: IBM     Published Date: Jun 16, 2015
This white paper highlights IBM’s vision for the next-generation data center, its potential to be truly revolutionary and the prescribed pathway for getting there.
Tags : 
data center, mobility, software defined environment, service optimization, business solutions, data center security, compliance, automating protective measures
    
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.
Tags : 
enterprise infrastructure, big data, mobility, data center, it infrastructure, it security technologies, virtualizing infrastructure, converging technologies
    
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.
Tags : 
data center, predictive analytics, data center strategy, resilient infrastructure, cloud computing, social collaboration, business analytics, emerging technologies
    
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.
Tags : 
ibm, enterprise, hybrid cloud, pureapplication
    
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.
Tags : 
ibm, threat, risk, management, security, analytics, fraud, enterprise applications
    
IBM
Published By: IBM     Published Date: Jan 27, 2016
This white paper reveals seven strategic objectives that can be attained to their full potential only by employing predictive analytics.
Tags : 
ibm, analytics, predictive, strategy, competitive advantage, security, enterprise applications, business technology
    
IBM
Published By: IBM     Published Date: Jan 27, 2016
Forrester Research evaluated 13 big data predictive analytics solution vendors and IBM emerged as one of the three leaders. Learn why.
Tags : 
ibm, forrester wave, big data, predictive analytics, enterprise applications, data management, business technology, analytics
    
IBM
Published By: IBM     Published Date: Feb 01, 2016
Achieving Application Delivery Velocity with a 482% ROI
Tags : 
ibm, economic impact, urbancode, devops, roi, software development, enterprise applications, business technology
    
IBM
Published By: IBM     Published Date: Feb 01, 2016
This eBook will take you through the basics of application release and deployment, and provide best practices for implementation with resources for a deeper dive.
Tags : 
ibm, applications, deployment, release, roi, software development, enterprise applications, business technology
    
IBM
Published By: IBM     Published Date: Feb 01, 2016
Discover the benefits of deployment automation and how to maximize your automation investments!
Tags : 
ibm, applications, deployment, automation, roi, software development, enterprise applications, business technology
    
IBM
Published By: IBM     Published Date: Feb 22, 2016
To help enterprises create trusted insight as the volume, velocity and variety of data continue to explode, IBM offers several solutions designed to help organizations uncover previously unavailable insights and use them to support and inform decisions across the business.
Tags : 
ibm, data, mdm, big data, insight, infosphere, knowledge management, enterprise applications
    
IBM
Published By: IBM     Published Date: Feb 22, 2016
This ebook explores how an enhanced 360-degree view of the customer optimizes and facilitates more personalized customer interactions.
Tags : 
ibm, data, customer, mdm, customer interactions, personalization, enterprise applications, data management
    
IBM
Published By: IBM     Published Date: Apr 11, 2016
Automating for Digital Transformation: Tools-driven DevOps and Continuous Software Delivery in the Enterprise. Learn why companies are adopting DevOps to speed software delivery and innovation - Understand why “speed with quality” is the real challenge of Continuous Delivery and the importance of automation - Explore DevOps best practices and automation tools in place at high-performing companies
Tags : 
ibm, ibm urbancode, cloud, digital transformation, ema study, devops, software development
    
IBM
Published By: IBM     Published Date: May 16, 2016
Our objective in this Checklist Report is to share best practices that will position the reader to take advantage of a cloud-based data warehousing solution.
Tags : 
ibm, tdwi, checklist report, data warehousing, cloud, analytics, analytic architecture, warehousing
    
IBM
Start   Previous    4 5 6 7 8 9 10 11 12 13 14 15 16 17 18    Next    End
Search      

Related Topics

Add Your White Papers

Get your white papers featured in the Data Center Frontier Paper Library contact:
Kevin@DataCenterFrontier.com