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master data management

Results 26 - 50 of 94Sort Results By: Published Date | Title | Company Name
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: Waterline Data & Research Partners     Published Date: Jun 15, 2015
Information governance and master data management initiatives are complex and require participation from a broad range of enterprise constituents. We focus on five small and innovative vendors that may help information managers reach their information governance and MDM goals.
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vendors, governance, information, mdm, management
    
Waterline Data & Research Partners
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.
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ibm, mdm, big data, ibm infosphere, 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.
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ibm, mdm, big data, ibm infosphere, mdm advantagw, 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, 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
Cloud-based data presents a wealth of potential information for organizations seeking to build and maintain a competitive advantage in their industry. However, as discussed in “The truth about information governance and the cloud,” most organizations will be confronted with the challenging task of reconciling their legacy on-premises data with new, third-party cloud-based data. It is within these “hybrid” environments that people will look for insights to make critical decisions.
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IBM
Published By: IBM     Published Date: Oct 17, 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. To meet the business imperative for enterprise integration and stay competitive, companies must manage the increasing variety, volume and velocity of new data pouring into their systems from an ever-expanding number of sources. They need to bring all their corporate data together, deliver it to end users as quickly as possible to maximize
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IBM
Published By: Group M_IBM Q119     Published Date: Jan 08, 2019
The discipline of data quality assurance ensures that data is "fit for purpose" in the context of existing business operations, analytics and emerging digital business scenarios. It covers much more than just technology. It includes program management, roles, organizational structures, use cases and processes (such as those for monitoring, reporting and remediating data quality issues). It is also linked to broader initiatives in the field of enterprise information management (EIM), including information governance and master data management (MDM)
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Group M_IBM Q119
Published By: SAS     Published Date: Sep 19, 2018
We are offering this second edition resource as a business oriented, working guide to core data management practices. In this ebook you will find easy to digest resources on the value and importance of data preparation, data governance, data integration, data quality, data federation, streaming data, and master data management.
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SAS
Published By: SessionM     Published Date: Jan 24, 2018
Download Gartner’s latest Market Guide for Master Data Management of Customer Data Solutions to learn market definition, analysis and recommendations, the criteria necessary for evaluating marketing data management solutions and how master data sits in the middle of the 360° customer view.
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customer engagement, unified customer profile, customer data platform, data orchestration, customer data activation, machine learning, data integration, personalization
    
SessionM
Published By: SAP Inc.     Published Date: Jun 16, 2009
This SAP Insight explores the importance of master data and the barriers to achieving sound master data, describes the ideal master data management solution, and explains the value and benefits of effective management of master data.
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sap, mdm, master data management, master data consolidation, master data harmonization
    
SAP Inc.
Published By: SAP Inc.     Published Date: Jun 16, 2009
This paper reviews the current status of MDM, and offers suggestions for planning, building and deploying an MDM environment.
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sap, master data management, mdm, business intelligence, data warehousing, sor, system of record, enterprise mdm
    
SAP Inc.
Published By: Dell Software     Published Date: Feb 20, 2014
Short: Explore the value and benefits that cloud-based MDM can deliver to your business. Start building your next-generation MDM strategy today with this insightful paper.
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data management, mdm, boomi
    
Dell Software
Published By: Reltio     Published Date: Nov 20, 2018
Modern Master Data Management (MDM) is more than an extension of your data governance strategy. See how Reltio is taking MDM to the next level with its data platforms in AWS and Google Cloud.
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Reltio
Published By: Reltio     Published Date: Nov 20, 2018
Big data is growing faster than the capabilities available to manage and analyze it. Get this vendor comparison to learn how a modern master data management platform will help you to achieve better outcomes.
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Reltio
Published By: Reltio     Published Date: Nov 20, 2018
Explore this 31-criteria, Forrester Wave Report on MDM platforms and vendors. You'll discover an evaluation of 12 vendors including leader Reltio with modern Master Data Management.
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Reltio
Published By: Trillium Software     Published Date: Jun 29, 2011
This white paper highlights how BT's experience of IQIP can help to inform the challenge of organizing for enterprise wide DQ, lists the key organizational structures, outlines the roles of the potential main protagonists and summarizes the main lessons learned.
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trillium software, data quality, mdm, master data management, british telecommunications, entreprise wide dq improvement program, data governance, nigel turner
    
Trillium Software
Published By: HP     Published Date: Oct 02, 2009
Loraine Lawson spoke with David Loshin, president of the Washington, D.C.-based BI consultancy, Knowledge Integrity, and the author of Master Data Management, a book on MDM published by the MK/OMG Press, about how IT leaders separate out the marketing hype from what's really possible and pertinent about master data and managing it.
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hp storage, business applications, information management methods, data management tools, knowledge integrity
    
HP
Published By: IBM     Published Date: May 29, 2008
IBM Multiform Master Data Management manages master data domains - customers, accounts, products - that have significant impact on the most important business processes and realize the promise of Service Oriented Architecture (SOA). IBM is the only vendor that delivers an integrated MDM product with significant out-of-the-box functionality for each MDM usage style - collaborative, operational and analytical - across multiple data domains, thereby managing the complete data lifecycle.
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data management, mdm, data lifecycle, master data management
    
IBM
Published By: IBM     Published Date: Dec 30, 2008
Corporate master data is a critical asset that must be increasingly managed within and beyond the enterprise, primarily to solve business problems in compliance, customer service, sales, and marketing. Such master data may be indentified, harmonized and integrated at multiple levels of the software stack to materialize a single customer view (or supplier, product, view etc.).
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ibm, enterprise master data management, corporate master data, data integration, enterprise applications
    
IBM
Published By: IBM     Published Date: Feb 02, 2009
The implementation of an information strategy is critical to your organization's business success and key to sustaining your competitive advantage. IBM’s Information Agenda has been specifically designed to help. Philip Howard of Bloor Research has helpful insights on getting started.
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ibm, information strategy, competitive advantage, ibm information agenda, master data management, mdm, etl, extract
    
IBM
Published By: IBM     Published Date: Feb 02, 2009
A comprehensive solution for leveraging data in today's retail environment. From customer data to product placement statistics, retail organizations are constantly juggling information. As the sheer amount of data continues to grow, it becomes increasingly difficult to manage. Not only does data come in many different forms—such as reports, memos and e-mails—but often it’s scattered across multiple repositories.
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ibm, ibm balanced warehouses, ibm master data management server, ibm omnifind, ibm industry data models, dynamic warehousing, retail buyer’s guide, leveraging data
    
IBM
Published By: IBM     Published Date: Feb 02, 2009
A comprehensive solution for leveraging data in today's financial industry. Most organizations realize that the key to success lies in how well they manage data—and the banking industry is no exception. From customer statistics to strategic plans to employee communications, financial institutions are constantly juggling endless types of information.
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ibm, information management software, leveraging data, dynamic warehousing, data management, improve customer service, real-time risk analysis, analytics capabilities
    
IBM
Published By: IBM     Published Date: Nov 17, 2009
The information agenda is intended to map out corporate business and technology goals and to create a roadmap to ensure that companies can leverage their corporate information as a strategic asset in the pursuit of these goals.
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ium evaluation, ibm, information on demand, uim, iod, information management, scential, filenet
    
IBM
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