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Published By: SAP     Published Date: Sep 19, 2017
SAP S/4HANA Retail for merchandise management is at the core of a comprehensive suite of retail offerings designed to help retailers meet the demands of a digital economy. It supports retail core processes end to end, starting with master data down to point-of-sales (POS) connectivity. It allows insights into operational retail data, empowering users with contextual, real time information for faster and better decision making. Processes can easily be extended to connect to business networks to form a digital ecosystem and collaboratively drive business model improvements. Equipped with a simple and intuitive user experience, the solution offers better support for headquarters users as well as store associates to drive compelling customer experiences.
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master data, management, retail price, merchandise buying, collaboration, vendor agreement, forecasting, sap
    
SAP
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: 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: 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, transform and load, lifecycle management, data completeness, information agenda, information accelerators, knowledge management, data management
    
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, customer data, product placement statistics, data management, scalable system, customer relationships, cross-sell, up-sell opportunities, db2 warehouse, oltp-based transactional data server, information management software, enterprise applications
    
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, cognos, soa, cross-ibm initiative, websphere, lotus, tivoli, ibm global services, ovum 2008, information agenda, vanguard, master data management, enterprise content integration
    
IBM
Published By: SAS     Published Date: Mar 14, 2014
Master data management is not just something you install and fill with data. By transitioning from a consolidation approach to a data utilization approach, you will see how the disciplines and capabilities of master data management contribute to a long term information strategy that uses best practices to enable comprehensive information visibility.
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sas, data management, consolidation approach, data utilization, information strategy, comprehensive information visibility, data center
    
SAS
Published By: IBM     Published Date: Oct 01, 2014
Gaining a more complete, trusted view of customers is a strategic goal of most organizations. The challenge is that information about customers is typically managed and stored in many different applications, management systems and data silos. And this challenge is often compounded by a lack of consistency from one application to the next. The combination of IBM InfoSphere Data Explorer and IBM InfoSphere Master Data Management addresses these challenges by creating a single, combined, trusted 360-degree view of all data related to customers, accounts, products and other entities. The combined solution enables organizations to gain a deeper understanding of customer sentiment, increase customer loyalty and satisfaction, and get the right information to the right people to provide customers what they need to solve problems, cross-sell and up-sell.
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data integration, customer loyalty, customer service, big data, data management
    
IBM
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, master data management, ibm, enterprise applications
    
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, information based enterprise, bloor research
    
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, content management system, information integration, quocirca
    
Quocirca
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: 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: 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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