reference data

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Published By: Ted Hills     Published Date: Mar 08, 2017
This document provides a complete reference for the Concept and Object Modeling Notation (COMN, pronounced “common”), release 1.1. The book NoSQL and SQL Data Modeling (Technics Publications, 2016) reflects release 1.0 of COMN. This is a reference, not a tutorial. This document is designed to support a quick check of how to draw or notate something in COMN.
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Ted Hills
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: CA Technologies     Published Date: Feb 25, 2016
As combinations of both internal and externally-imposed business policies imply dependencies on managed data artifacts, organizations are increasingly instituting data governance programs to implement processes for ensuring compliance with business expectations. One fundamental aspect of data governance involves practical application of business rules to data assets based on data elements and their assigned values. Yet despite the intent of harmonizing data element definitions and resolution of data semantics and valid reference values, most organizations rarely have complete visibility into the metadata associated with enterprise data assets.
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CA Technologies
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: Trillium Software     Published Date: Apr 10, 2017
For the 11th consecutive year, the Gartner Magic Quadrant for Data Quality Tools1 research report positions Trillium Software as a leader in the Data Quality Software industry. Data Quality is vital to ensuring trust in your data-driven, decision making business processes. Confidence is the result of a well thought out and executed data quality management strategy and is critical to remaining competitive in a rapidly and ever-changing business world. The 2016 Gartner Magic Quadrant for Data Quality Tools report is a valuable reference, providing the latest insights into the strengths and cautions of leading vendors. Access the report to learn how a leading data quality solution can help you achieve your long-term strategic objectives.
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Trillium Software
Published By: Dell EMC     Published Date: Aug 17, 2018
Dell EMC technology for Digital Manufacturing harnesses the workstation, HPC and storage capabilities that combine to enable better products, more efficient design and production processes, and meet rapidly changing customer preferences. Collecting, collating and digesting more and more data in the entire ecosystem, from product modelling to after-sales trends, are making the digital factory a powerful and necessary reality in the manufacturing landscape.
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Dell EMC
Published By: Dell EMC     Published Date: Nov 26, 2018
Dell EMC technology for Digital Manufacturing harnesses the workstation, HPC and storage capabilities that combine to enable better products, more efficient design and production processes, and meet rapidly changing customer preferences. Collecting, collating and digesting more and more data in the entire ecosystem, from product modelling to after-sales trends, are making the digital factory a powerful and necessary reality in the manufacturing landscape. Learn more about Dell Precision® workstations featuring Intel® Xeon® processors
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Dell EMC
Published By: Dell EMC     Published Date: Nov 26, 2018
Dell EMC technology for Digital Manufacturing harnesses the workstation, HPC and storage capabilities that combine to enable better products, more efficient design and production processes, and meet rapidly changing customer preferences. Collecting, collating and digesting more and more data in the entire ecosystem, from product modelling to after-sales trends, are making the digital factory a powerful and necessary reality in the manufacturing landscape. Learn more about Dell Precision® workstations featuring Intel® Xeon® processors
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Dell EMC
Published By: Schneider Electric     Published Date: Oct 17, 2016
In this paper, we address critical questions about the implications of Open Compute on the upstream power infrastructure, including redundancy, availability, and flexibility. We introduce simplified reference designs that support OCP and provide a capital cost analysis to compare traditional and OCP-based designs. We also present an online TradeOff Tool that allows data center decision makers to better understand the cost differences and cost drivers to various architectures.
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Schneider Electric
Published By: Epicor     Published Date: Sep 26, 2016
In this report, Mint Jutras references data collected from its 2016 Enterprise Solution Study, investigating goals, challenges and status and performance of software used to run a business.
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epicor, digital distributor, distributor, mint jutras, enterprise solution study, wholesale distribution, distribution, erp, wholesale distributor, wholesale e-commerce, cloud erp, business systems, b2b e-commerce, knowledge management, enterprise applications, business technology
    
Epicor
Published By: Cisco     Published Date: Apr 20, 2016
Note: Part two of Karen Walker’s blog series continues her insights about Digital Transformation and spotlights how Cisco’s Marketing and Communications team is using technology to transform their function. Excerpt: Today’s marketers are delivering more and more content digitally, but to be effective that digital content can’t just be generic reference material. Rather, effective content must be relevant, timely, and personalized. And its goal should be to create a dialogue with the customer. This is no easy task. It requires investing in marketing technologies that help deliver personalized content with speed and agility. For modern marketers, technology opens the door to new revenue pipelines. Digital platforms and applications combined with data and analytics augment our go-to-market model.
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cisco, digital, marketing, technology, mobile, marketing strategy, business technology
    
Cisco
Published By: VMware     Published Date: Jul 01, 2016
Straight from our experts at VMware®, follow these technical tips to learn what you need to know to get started with VMware vCloud® Air™. From choosing the right service offering to migrating your workloads and administering resources, reference these tips as you extend your data center to the cloud.
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vmware data center, vcloud air, vsphere, hybrid cloud, public cloud, private cloud, disaster recovery, data center extension, data center replacement, date center modernization, virtual private cloud
    
VMware
Published By: Oracle Analytics     Published Date: Oct 06, 2017
Empowered with mobile and cloud-based access to a myriad of products and services, customers now have a variety of options at their fingertips with regards to partnerships. Enterprises that do not follow the ever-changing tastes and preferences of their customers, or that wait too long to react, will fall behind and fail. Across functions, business professionals readily require big data tools and insights to understand and serve these customers. It is no longer an option for business users to rely on IT to deliver customer and other relevant analytics. On the flipside, handing the analytics reins entirely to business users can make governance nearly impossible. Organizations must find balance in a new approach in which IT mostly governs and curates data while business users are empowered to derive insights from data mostly ontheir own without delay.
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Oracle Analytics
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: Group M_IBM Q1'18     Published Date: Dec 19, 2017
As organizations develop next-generation applications for the digital era, many are using cognitive computing ushered in by IBM Watson® technology. Cognitive applications can learn and react to customer preferences, and then use that information to support capabilities such as confidence-weighted outcomes with data transparency, systematic learning and natural language processing. To make the most of these next-generation applications, you need a next-generation database. It must handle a massive volume of data while delivering high performance to support real-time analytics. At the same time, it must provide data availability for demanding applications, scalability for growth and flexibility for responding to changes.
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database, applications, data availability, cognitive applications
    
Group M_IBM Q1'18
Published By: Teradata     Published Date: Jun 14, 2013
This paper explains how customer relationships can be threatened by lack of insight into their behaviors and preferences and how financial services organizations can use data analytics and customer-centric marketing to improve these relationships and drive business.
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customer data analytics, data driven marketing, customer relationships, customer centric marketing, finance
    
Teradata
Published By: MobileIron     Published Date: May 07, 2018
The global BYOD and enterprise mobility market continues to experience impressive growth. Preparing for this transformation is more than just a matter of security. It’s a matter of leveraging the people, processes and tools needed to become a Mobile First organization that’s ready to explore a whole new opportunity landscape. This BYOD guide is a great first step toward achieving your mobile transformation by implementing a successful BYOD program. By following the recommendations in this guide, you can deliver a program that meets the needs and preferences of mobile workers, while upholding corporate security and budget requirements. But the true success of any BYOD program depends on its long-term sustainability, which means you must ensure the security of your corporate data, drive user adoption by supporting employees’ device preferences and maintain a flexible technology portfolio that enables business innovation.
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guide, byod, mobility, landscape, organization, program, mobile
    
MobileIron
Published By: Amazon Web Services     Published Date: Feb 01, 2018
Moving Beyond Traditional Decision Support Future-proofing a business has never been more challenging. Customer preferences turn on a dime, and their expectations for service and support continue to rise. At the same time, the data lifeblood that flows through a typical organization is more vast, diverse, and complex than ever before. More companies today are looking to expand beyond traditional means of decision support, and are exploring how AI can help them find and manage the “unknown unknowns” in our fast-paced business environment.
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predictive, analytics, data lake, infrastructure, natural language processing, amazon
    
Amazon Web Services
Published By: Oracle OMC     Published Date: Nov 30, 2017
Since the theme of this brief is to keep things simple, let’s be as simple and plain as possible: The customer experience (CX) is broken because the marketer experience is broken. However, it’s not entirely marketing’s fault. Legacy technology provides only a distorted view of the customer. That’s what creates the broken experiences. It’s the same technology that—while providing rich behavioral, demographic, and preference data—does not allow for silos of data to be shared across channels.
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Oracle OMC
Published By: SAS     Published Date: May 24, 2018
Constant market shifts and changing customer preferences add to the challenge of outperforming your competitors and surpassing stakeholder expectations. But what can be done to steer your organization down the path to greater success? By now, we all know it’s not just historical reporting about the past that will provide the answers needed to drive a business forward. Everyone – from executives and analysts to frontline staff – must have access to insights about the future that will enable them to make the best decisions and take the actions needed to keep their organizations agile. This means the ability to peer into data, explore it, understand it, analyze it and produce insights that provide those aha moments and take actions on it. Such things cannot be done with multiple tools that are rigid, limiting and difficult to use. A new breed of business intelligence is required. Gone are the days when reports looked at singular issues, took possibly days or weeks to create, and required
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SAS
Published By: Infomatica     Published Date: May 19, 2015
In this eBook, best-selling author Brian Underdahl explores the fundamentals of data integration and how the latest tools can simplify today’s (and tomorrow’s) data landscape. “Data Integration for Dummies” provides valuable reference if you need to explain data integration to the business, are looking for an alternative to hand-coding data mappings, or simply interested in expanding your knowledge.
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data integration, it infrastructure, data sources, data landscape, data mappings, it management
    
Infomatica
Published By: CDW     Published Date: Nov 12, 2012
This reference guide is designed to provide you with an in-depth look at data center optimization, what's driving it and why organizations need to plan for it.
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data center, data center optimization, data center convergence, workload mobility, data center strategy, business technology
    
CDW
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
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