reference data management

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Published By: TopQuadrant     Published Date: Mar 21, 2015
Data management is becoming more and more central to the business model of enterprises. The time when data was looked at as little more than the byproduct of automation is long gone, and today we see enterprises vigorously engaged in trying to unlock maximum value from their data, even to the extent of directly monetizing it. Yet, many of these efforts are hampered by immature data governance and management practices stemming from a legacy that did not pay much attention to data. Part of this problem is a failure to understand that there are different types of data, and each type of data has its own special characteristics, challenges and concerns. Reference data is a special type of data. It is essentially codes whose basic job is to turn other data into meaningful business information and to provide an informational context for the wider world in which the enterprise functions. This paper discusses the challenges associated with implementing a reference data management solution and the essential components of any vision for the governance and management of reference data. It covers the following topics in some detail: · What is reference data? · Why is reference data management important? · What are the challenges of reference data management? · What are some best practices for the governance and management of reference data? · What capabilities should you look for in a reference data solution?
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data management, data, reference data, reference data management, top quadrant, malcolm chisholm
    
TopQuadrant
Published By: TopQuadrant     Published Date: Jun 01, 2017
This paper presents a practitioner informed roadmap intended to assist enterprises in maturing their Enterprise Information Management (EIM) practices, with a specific focus on improving Reference Data Management (RDM). Reference data is found in every application used by an enterprise including back-end systems, front-end commerce applications, data exchange formats, and in outsourced, hosted systems, big data platforms, and data warehouses. It can easily be 20–50% of the tables in a data store. And the values are used throughout the transactional and mastered data sets to make the system internally consistent.
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TopQuadrant
Published By: CMMI Institute     Published Date: Mar 21, 2016
CMMI Institute®’s Data Management Maturity (DMM)SM framework enables organizations to improve data management practices across the full spectrum of their business. It is a unique, comprehensive reference model that provides organizations with a standard set of best practices to assess their capabilities, strengthen their data management program, and develop a custom roadmap for improvements that align with their business goals.
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CMMI Institute
Published By: INT_AstuteIT_ABM_DoubleTouch_BENELUX     Published Date: Feb 23, 2018
Wholly relevant and personalized customer service is no longer an optional preference, so much as an inevitable reality. Through the right data management technology, marketers can pave the way for their customers to reach the right ticket for their chosen journey, through the channels they prefer, in a way which means something to them in that particular moment. Airlines don’t have to make use of beacon technology and IoT to begin uplifting their outreach, but should choose a solution which is ready as soon as they are, to plug into, embrace and deliver actions with a shifting landscape of consumer touchpoints.
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customer, marketers, technology, management
    
INT_AstuteIT_ABM_DoubleTouch_BENELUX
Published By: Nimble Storage     Published Date: Oct 28, 2013
Collaboration and email applications such as Microsoft SQL Server, Exchange, and SharePoint are critical for business productivity. But care needs to be taken in selecting the right infrastructure for hosting these applications. Download this technical overview and learn how VMware, Cisco, and Nimble Storage have developed a pre-validated reference architecture that delivers industry-leading performance, data protection, and management simplicity.
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nimble storage, data storage, backup, disaster recovery, flash memory, data protection, ssd, hybrid storage, high-performance storage, storage efficiency, storage management, storage for vdi, storage for virtualized servers, storage for private cloud, storage for vmware, storage for oracle, storage for microsoft, storage for exchange, storage for sharepoint, storage
    
Nimble Storage
Published By: SAS     Published Date: Mar 06, 2018
The Internet of Things enables retailers to do three basics better and faster: 1) Sensing who customers are and what they’re doing, 2) Understanding customer behavior and preferences, and 3)Acting on that insight to create a more engaging customer experience. - There are high-potential IoT applications in supply chain, in “smart store” operations, and especially in providing an engaging experience to the “connected customer.” IoT data can anticipate where the customer is headed and how to meet her there. - Much of the IoT ground, in both data management and analytics, may be unfamiliar. Retailers and their IT organizations have to be realistic about the technological challenges, their own capabilities, and where they need assistance. - To differentiate through IoT, focus on the analytics. Devices and their data — and even their platforms — are commodities. Advantage goes to the retailer who does the most with the data to engage the connected customer.
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SAS
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, data management
    
Siperian
Published By: Polarlake Reference Data Management     Published Date: Nov 16, 2010
Standards-based integration in financial services. A paper that looks at the promise of XML, Web Services and the Enterprise Service Bus as well as the various XML standards being developed for and used in the Financial Servi
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reference data management, reference data distribution, xml, web services
    
Polarlake Reference Data Management
Published By: PolarLake USA     Published Date: Jun 09, 2008
This paper provides an overview of the benefits and challenges for firms wishing to implement XML-based systems and explores how PolarLake can be used to address these challenges.
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polarlake, xml, reference data management, reference data distribution, xml based integration, financial integrations, database development
    
PolarLake USA
Published By: PolarLake USA     Published Date: Feb 23, 2008
A paper that looks at the promise of XML, Web Services and the Enterprise Service Bus as well as the various XML standards being developed for and used in the Financial Services industry.
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polarlake, enterprise application integration, eai, reference data management, reference data distribution, xml based integration, financial integrations
    
PolarLake USA
Published By: HP and Intel ®     Published Date: May 03, 2013
HP Cloud Solution for Microsoft is designed to provide a scalable, high-performance integrated infrastructure optimized for virtual environments built on Microsoft Hyper-V. Designed and built according to the Microsoft Private Cloud Fast Track reference architecture, HP Virtual System for Microsoft comes standard with Microsoft Windows Server 2012 (which includes Hyper-V) and is designed to deliver top performance for a wide range of virtualized applications, including Microsoft Exchange, SQL Server, and SharePoint. This paper will focus on ESG’s analysis of the costs and benefits—and ultimate economic value—associated with deploying and managing HP Cloud Solution for Microsoft, versus a comparable conventional data center infrastructure comprised of discreet, non-integrated compute, storage, network, and management components.
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cloud, virtualization, data center, infrastructure, storage, network, management, cloud computing
    
HP and Intel ®
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