mdm

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Published By: IBM     Published Date: Jan 09, 2015
Early adopters of an extended 360° view will get competitive advantages over their rivals and this will force laggards to adopt a similar approach or lose business.
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ibm, big data, insights, mdm, infosphere, data management, dashboards, value, data matching, analytics, challenges, competitive advantage, loyalty, implementation, 360, degree, customers, it management, knowledge management, data center
    
IBM
Published By: IBM     Published Date: Jul 08, 2015
The MDM of product data solutions market segment grew nearly 9% in 2013. Increasingly, end-user organizations are exploiting MDM as the heart of a digital business transformation. This Magic Quadrant, which evaluates 15 providers, will help find the right vendor for their needs. 
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ibm, magic quadrant, gartner, data management, product data solutions, it management, knowledge management, enterprise applications
    
IBM
Published By: IBM     Published Date: Jul 13, 2015
This Magic Quadrant, which evaluates 15 providers, will help find the right vendor for their needs.
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data solutions, mdm, master data management, data implementation, magic quadrant, data management
    
IBM
Published By: IBM     Published Date: Jan 13, 2016
With deep integration of matching and linking capabilities, application development tools and workflow components, IBM InfoSphere Master Data Management can help deliver a seamless transition from a virtual architectural style to a physical architectural style.
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ibm, mdm, linking, data, infosphere, data management
    
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.
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ibm, data, mdm, big data, insight, infosphere, knowledge management, enterprise applications, data management
    
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.
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ibm, data, customer, mdm, customer interactions, personalization, enterprise applications, data management
    
IBM
Published By: IBM     Published Date: Apr 18, 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. Combining the power of IBM® InfoSphere® Master Data Management (MDM) with the IBM big data portfolio creates a valuable connection: big data technology can supply insights to MDM, and MDM can supply master data definitions to big data.
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ibm, mdm, big data, ibm infosphere, data management
    
IBM
Published By: IBM     Published Date: Apr 18, 2016
"Five high-value uses for big data: IBM has conducted surveys, studied analysts’ findings, talked with more than 300 customers and prospects and implemented hundreds of big data solutions. As a result, it has identified five high-value use cases that enable organizations to gain new value from big data."
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ibm, mdm, big data, trusted data, data solutions, data management
    
IBM
Published By: IBM     Published Date: Apr 18, 2016
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.
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ibm, mdm, big data, data management, data matching, customer analytics
    
IBM
Published By: IBM     Published Date: Jul 06, 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. Combining the power of IBM® InfoSphere® Master Data Management (MDM) with the IBM big data portfolio creates a valuable connection: big data technology can supply insights to MDM, and MDM can supply master data definitions to big data.
Tags : 
ibm, mdm, big data, ibm infosphere, data management, data center
    
IBM
Published By: IBM     Published Date: Jul 06, 2016
Five high-value uses for big data: IBM has conducted surveys, studied analysts’ findings, talked with more than 300 customers and prospects and implemented hundreds of big data solutions. As a result, it has identified five high-value use cases that enable organizations to gain new value from big data.
Tags : 
ibm, mdm, big data, trusted data, data solutions, data management, data center
    
IBM
Published By: IBM     Published Date: Jul 06, 2016
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.
Tags : 
ibm, mdm, big data, data management, data matching, customer analytics, data center
    
IBM
Published By: IBM     Published Date: Oct 13, 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. Combining the power of IBM® InfoSphere® Master Data Management (MDM) with the IBM big data portfolio creates a valuable connection: big data technology can supply insights to MDM, and MDM can supply master data definitions to big data.
Tags : 
ibm, mdm, big data, ibm infosphere, mdm advantagw, knowledge management, enterprise applications
    
IBM
Published By: IBM     Published Date: Oct 13, 2016
Use big data to build an integrated, more personalized approach to marketing, business strategy, customer service and more.
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ibm, analytics, data, mdm, ibm software, business strategy, customer service, knowledge management, enterprise applications
    
IBM
Published By: IBM     Published Date: Oct 13, 2016
Data quality and master data management in a hybrid environment
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ibm, mdm, big data, ibm infosphere, knowledge management, enterprise applications
    
IBM
Published By: IBM     Published Date: Jan 27, 2017
Every day, torrents of data inundate IT organizations and overwhelm the business managers who must sift through it all to glean insights that help them grow revenues and optimize profits. Yet, after investing hundreds of millions of dollars into new enterprise resource planning (ERP), customer relationship management (CRM), master data management systems (MDM), business intelligence (BI) data warehousing systems or big data environments, many companies are still plagued with disconnected, “dysfunctional” data—a massive, expensive sprawl of disparate silos and unconnected, redundant systems that fail to deliver the desired single view of the business.
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IBM
Published By: IBM     Published Date: Jan 27, 2017
The bottom line is that those that have the most customer insight will win because they know what customers want. So the question is how will you get that insight? What is it that you don’t know about customers in the market(s) that you operate in? Do you have all the attributes about customers in your MDM system that could be of value to your business? Do you know about all the relationships that your customers have in your MDM system? In most cases, the answer to the above questions is no which inevitably means one thing. You need more data
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IBM
Published By: IBM     Published Date: Jan 27, 2017
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 seamlessly integrate with diverse technologies, from data marts to Apache Hadoop systems. And it must automatically discover, protect and monitor sensitive information as part of big data applications.
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IBM
Published By: IBM     Published Date: Apr 18, 2017
Master data management (MDM) programs provide ways to ensure that data is consistent in different systems throughout an organization, but poorly managed initiatives are large and complicated affairs. This handbook will provides practical advice on how to develop and implement successful MDM programs that can pay big business dividends. Discover expert advice on: - Strategies and tactics for effective MDM processes - The technology considerations that should be factored into project plans - The ramifications of incorporating pools of “big data” into MDM efforts - And more
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data management, data system, business development, software integration, resource planning, enterprise management, data collection
    
IBM
Published By: IBM     Published Date: Apr 18, 2017
Companies in all industries can benefit from a master data management program, advises MDM expert Anne Marie Smith. Learn how to enhance yours.
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data analytics, product refinement, business exploration, advanced prototyping, analytics, data preparation, customer support, sales relations, market research, model management
    
IBM
Published By: IBM     Published Date: Apr 18, 2017
Are you looking to add new data domains or solve new business problems? IBM InfoSphere MDM comprises a complete MDM suite with multi-domain MDM capabilities and built-in domain patterns. IBM offers several editions of InfoSphere MDM, each designed to integrate with your existing architectures and business processes. You can choose the platform that best meets your immediate and long-term needs.
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cloud data, online marketing, customer acquisition, mobile marketing, social marketing, data warehouse, data storage, data collection
    
IBM
Published By: IBM     Published Date: Apr 20, 2017
The National Institute for Standards and Technology (NIST) and the Defense Information Systems Agency (DISA) have taken leading roles in exploring requirements for Mobile Device Management (MDM) systems for government agencies. Mobile devices, particularly smartphones, are exceptionally vulnerable to security breaches. They are easily lost, are filled with unknown applications, communicate over untrusted networks, and are often purchased by users without regard to IT standards and security features.
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mobile security, mobile device management, enterprise data, application security, information security, communication interception, business data, app security
    
IBM
Published By: IBM     Published Date: Apr 20, 2017
Security from design through deployment. Mobile devices are now a reality in many organizations. Building on Mobile Device Management (MDM) and Mobile Application Management (MAM), organizations are increasingly developing their own enterprise apps for specific job tasks to improve productivity, business partnerships, customer satisfaction and bottom-line performance. However, to achieve these benefits, it is imperative that mobile security best practices are incorporated throughout the lifecycle of the application.
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IBM
Published By: IBM     Published Date: Apr 20, 2017
Security from design through deployment. Mobile devices are now a reality in many organizations. Building on Mobile Device Management (MDM) and Mobile Application Management (MAM), organizations are increasingly developing their own enterprise apps for specific job tasks to improve productivity, business partnerships, customer satisfaction and bottom-line performance. However, to achieve these benefits, it is imperative that mobile security best practices are incorporated throughout the lifecycle of the application.
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application management, application development, organization optimization, authentication, application security, enterprise applications, app blocking
    
IBM
Published By: IBM     Published Date: Apr 20, 2017
Essentials for your organization’s first MDM deployment. IBM’s security platform provides the security intelligence to help organizations holistically protect their people, data, applications and infrastructure. IBM offers solutions for identity and access management, security information and event management, database security, application development, risk management, endpoint management, next-generation intrusion protection and more. IBM operates one of the world’s broadest security research and development, and delivery organizations.
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mobile security, mobile device management, enterprise data, application security, information security, communication interception, business data
    
IBM
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