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master data management

Results 76 - 94 of 94Sort Results By: Published Date | Title | Company Name
Published By: IBM     Published Date: Dec 12, 2006
This white paper addresses the value of a company’s ability to integrate, analyze and optimize all types and sources of information throughout the product life cycle. 
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it spending, product lifecycle management, data integration, data analysis, plm, product information management, data management, mdm
    
IBM
Published By: IBM     Published Date: May 30, 2008
Organizations with data-sharing environments, complex information and systems hinder business responsiveness and decision makers’ ability to make informed decisions. This white paper will describe how engaging in a master data management (MDM) project enables effective governance of data - specifically master data - and achieves maturity in key categories of the IBM Data Governance Maturity Model.
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ibm, mdm, master data management, data management, data governance
    
IBM
Published By: IBM     Published Date: Aug 26, 2009
We need to move away from the current environment in which data is treated as separate from (and subservient to) applications and business process-which may require a cultural shift within the IT department.
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information strategy, ibm, corporate data resides, master data management, etl, data governance, lifecycle management., ibm's information agenda
    
IBM
Published By: Quocirca     Published Date: Apr 23, 2007
Information management, which includes both data and content management, is an essential building block for Service-Oriented Architecture (SOA).  By taking a service oriented approach to information, you can achieve much greater value from your information assets.
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information management, service oriented architecture, service-oriented architecture, soa, data management, mdm, master data management, content management
    
Quocirca
Published By: Winshuttle     Published Date: Dec 04, 2006
This article describes an easy non-technical alternative to LSMW to update customer master records in SAP in fewer steps than LSMW, without technical involvement, and without requiring authorizations in SAP.
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sap, master record, master records, legacy system migration workbench, lsmw, data migration, data management, winshuttle
    
Winshuttle
Published By: Siperian     Published Date: Jan 24, 2007
Master Data Management is a cohesive strategy for managing all master data domains.  Where is your organization most likely to derive business value from a Master Data Management solutions?  This report answers these questions and details the path forward:  Adaptive Master Data Management.
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data management, master data management, mdm, business intelligence, data integration, data quality, siperian
    
Siperian
Published By: Siperian     Published Date: Jan 24, 2007
This comprehensive report addresses industry-specific issues for the Financial Services sector, Insurance, Pharmaceutical companies, Retailers, Manufacturing, and High-Tech.
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master data management, data management, financial, return on investment, roi, it spending, data integration, mdm
    
Siperian
Published By: Siperian     Published Date: Jan 24, 2007
Discover the essential steps to delivering a solid business case for the right customer-centric MDM architecture and achieve maximum ROI.
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roi, data management, return on investment, master data management, mdm, data integration, data quality, siperian
    
Siperian
Published By: Siperian     Published Date: Mar 29, 2007
Master Data Management (MDM) has made the CIO's technology short-list.  This paper addresses issues related to data governance, the business master, building on proven success, and ROI.  
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mdm, master data management, it management, return on investment, roi, rdi, reference data management, governance
    
Siperian
Published By: Stibo Systems     Published Date: Feb 02, 2011
Reducing Product Introduction Time and Costs with Product Information Management
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master data management, product information management, pim, mdm
    
Stibo Systems
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, enterprise applications
    
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
    
IBM
Published By: IBM     Published Date: Aug 23, 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, case study, ibm, consumer, brand loyalty
    
IBM
Published By: Dun & Bradstreet     Published Date: Feb 21, 2017
As the volume of data coming into organizations – from both internal and external sources – continues to grow and makes its way across departmental systems in many different formats, there is a critical need to create a single, holistic view of the key data entities in common use across the enterprise. Master Data Management (MDM) aims to accomplish this goal. Not surprisingly, MDM has become a significant priority for global enterprises, with the market expected to triple from $9.4B to $26.8B by 2020 according to analysts. The reality, though, is that while seemingly everyone is investing heavily in the tools to manage data, few are putting a great enough emphasis on the data itself. And that’s a problem. Poor data quality is said to be costing businesses $3.1 trillion annually – and that’s just in the US alone. The information being put into MDM tools must be mastered first and foremost.
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managing data, data management insight, mdm, master data management
    
Dun & Bradstreet
Published By: Dun & Bradstreet     Published Date: Feb 21, 2017
It is becoming increasingly more obvious that for data to have any real value, it must be in motion. It must flow. “All entities move” Heraclitus added, “and nothing remains still.” These ancient musings have startling relevance to the modern challenges and benefits of Master Data Management (MDM) programs across global enterprises. The entities he referred to were more philosophical in nature, yet it is no coincidence that the entities of our commercial world – customers, vendors, prospects and the relationship between them – are in a constant state of movement and change.
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mdm, data management, data fluidity, movement of information
    
Dun & Bradstreet
Published By: Datavail     Published Date: Nov 03, 2017
The management of financial data in an organization is of paramount importance. Reporting, evaluating ROI, making adjustments across the business, and increasing revenue depend on good, accessible financial data that can be updated and integrated across systems and software. For these reasons, many organizations have turned to master data management (MDM) software in the effort to better store, access, search, retrieve, and analyze their financial data. These MDM solutions are able to collect data within a single unified, fully integrated, user-friendly platform. However, in order to be most effective, MDM applications must also have capabilities in data relationship management (DRM). DRM software is able to describe and enforce the relationships between data, no matter where it's located within an organization, to provide a holistic and consistent solution.
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Datavail
Published By: IBM     Published Date: Jul 05, 2018
IBM® Information Governance Catalog helps you understand your information and foster collaboration between business and IT by establishing a common business vocabulary on the front end, and managing data lineage on the back end. By leveraging the comprehensive capabilities in Information Governance Catalog, you are better able to align IT with your business goals. Information Governance Catalog helps organizations build and maintain a strong data governance and stewardship program that can turn data into trusted information. This trusted information can be leveraged in various information integration and governance projects, including big data integration, master data management (MDM), lifecycle management, and security and privacy initiatives. In addition, Information Governance Catalog allows business users to play an active role in information-centric projects and to collaborate with their IT teams without the need for technical training. This level of governance and collaboration c
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IBM
Published By: IBM     Published Date: Jul 05, 2018
Scalable data platforms such as Apache Hadoop offer unparalleled cost benefits and analytical opportunities. IBM helps fully leverage the scale and promise of Hadoop, enabling better results for critical projects and key analytics initiatives. The end-to- end information capabilities of IBM® Information Server let you better understand data and cleanse, monitor, transform and deliver it. IBM also helps bridge the gap between business and IT with improved collaboration. By using Information Server “flexible integration” capabilities, the information that drives business and strategic initiatives—from big data and point-of- impact analytics to master data management and data warehousing—is trusted, consistent and governed in real time. Since its inception, Information Server has been a massively parallel processing (MPP) platform able to support everything from small to very large data volumes to meet your requirements, regardless of complexity. Information Server can uniquely support th
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IBM
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