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Published By: DATAVERSITY     Published Date: Jun 14, 2013
This report analyzes many challenges faced when beginning a new Data Governance program, and outlines many crucial elements in successfully executing such a program. “Data Governance” is a term fraught with nuance, misunderstanding, myriad opinions, and fear. It is often enough to keep Data Stewards and senior executives awake late into the night. The modern enterprise needs reliable and sustainable control over its technological systems, business processes, and data assets. Such control is tantamount to competitive success in an ever-changing marketplace driven by the exponential growth of data, mobile computing, social networking, the need for real-time analytics and reporting mechanisms, and increasing regulatory compliance requirements. Data Governance can enhance and buttress (or resuscitate, if needed) the strategic and tactical business drivers every enterprise needs for market success. This paper is sponsored by: ASG, DGPO and DebTech International.
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data, data management, data governance, data steward, dataversity, research paper
    
DATAVERSITY
Published By: SAP     Published Date: May 19, 2016
SAP® solutions for enterprise information management (EIM) support the critical abilities to architect, integrate, improve, manage, associate, and archive all information. By effectively managing enterprise information, your organization can improve its business outcomes. You can better understand and retain customers, work better with suppliers, achieve compliance while controlling risk, and provide internal transparency to drive operational and strategic decisions.
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SAP
Published By: Couchbase     Published Date: Dec 04, 2014
Interactive applications have changed dramatically over the last 15 years. In the late ‘90s, large web companies emerged with dramatic increases in scale on many dimensions: · The number of concurrent users skyrocketed as applications increasingly became accessible · via the web (and later on mobile devices). · The amount of data collected and processed soared as it became easier and increasingly · valuable to capture all kinds of data. · The amount of unstructured or semi-structured data exploded and its use became integral · to the value and richness of applications. Dealing with these issues was more and more difficult using relational database technology. The key reason is that relational databases are essentially architected to run a single machine and use a rigid, schema-based approach to modeling data. Google, Amazon, Facebook, and LinkedIn were among the first companies to discover the serious limitations of relational database technology for supporting these new application requirements. Commercial alternatives didn’t exist, so they invented new data management approaches themselves. Their pioneering work generated tremendous interest because a growing number of companies faced similar problems. Open source NoSQL database projects formed to leverage the work of the pioneers, and commercial companies associated with these projects soon followed. Today, the use of NoSQL technology is rising rapidly among Internet companies and the enterprise. It’s increasingly considered a viable alternative to relational databases, especially as more organizations recognize that operating at scale is more effectively achieved running on clusters of standard, commodity servers, and a schema-less data model is often a better approach for handling the variety and type of data most often captured and processed today.
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database, nosql, data, data management, white paper, why nosql, couchbase
    
Couchbase
Published By: Adaptive     Published Date: May 10, 2017
Enterprise metadata management and data quality management are two important pillars of successful enterprise data management for any organization. A well implemented enterprise metadata management platform can enable a successful data quality management at the enterprise level. This paper describes in detail an approach to integrate data quality and metadata management leveraging the Adaptive Metadata Manager platform. It explains the various levels of integrations and the benefits associated with each.
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Adaptive
Published By: MarkLogic     Published Date: Aug 04, 2014
The Age of Information and the associated growth of the World Wide Web has brought with it a new problem: how to actually make sense of all the information available. The overarching goal of the Semantic Web is to change that. Semantic Web technologies accomplish this goal by providing a universal framework to describe and link data so that it can be better understood and searched holistically, allowing both people and computers to see and discover relationships in the data. Today, organizations are leveraging the power of the Semantic Web to aggregate and link disparate data, improve search navigation, provide holistic search and discovery, dynamically publish content, and complete ETL processes faster. Read this white paper to gain insight into why Semantics is important, understand how Semantics works, and see examples of Semantics in practice.
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data, data management, whitepaper, marklogic, semantic, semantic technology, nosql, database, semantic web, big data
    
MarkLogic
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: 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: Reltio     Published Date: Jan 20, 2017
If you invested in master data management (MDM), you are part of an elite association of those who have been able to afford the time, effort and resources to deploy what has characteristically been a tool, and discipline reserved for only the largest enterprises. Feedback from top industry analysts and companies that transitioned from legacy MDM to modern data management platforms, led to the compilation of a list of 10 warning signs you can use as a handy guide. If one or more of these signs get your attention, it warrants a serious conversation with your current provider about these issues, and how they compare to modern offerings available today.
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Reltio
Published By: Data Ninja     Published Date: Apr 16, 2017
By adding structure to free text using text analytics and graph databases, text becomes valuable business data. This paper examines a real life use case in risk analysis. Text is a part of all communication channels from social media, documents, logs, and data bases. In order to use the information from text, you need to extract the data in a way that provides useful information on entities, locations, organizations, and their properties. Graph databases are very powerful in showing the text relationships including the nearest neighbors, clusters, and the shortest paths. The combination of text analytics and graph databases can be used to solve business problems.
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Data Ninja
Published By: Converseon     Published Date: Apr 02, 2018
Separating signals from noisy social listening data has long been a problem for data scientists. Poor precision due to slag, sarcasm and implicit meaning has often made it too challenging to effectively model. Today, however, new approaches that leverage active machine learning are rapidly over taking aging rules-based techniques and opening up use of this data in new and important ways. This paper provides some detail on the evolution of text analysis including current best practices and how AI can be used by data scientists to use this data for meaningful analysis.
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Converseon
Published By: Wave Computing     Published Date: Jul 06, 2018
This paper argues a case for the use of coarse grained reconfigurable array (CGRA) architectures for the efficient acceleration of the data flow computations used in deep neural network training and inferencing. The paper discusses the problems with other parallel acceleration systems such as massively parallel processor arrays (MPPAs) and heterogeneous systems based on CUDA and OpenCL, and proposes that CGRAs with autonomous computing features deliver improved performance and computational efficiency. The machine learning compute appliance that Wave Computing is developing executes data flow graphs using multiple clock-less, CGRA-based System on Chips (SoCs) each containing 16,000 processing elements (PEs). This paper describes the tools needed for efficient compilation of data flow graphs to the CGRA architecture, and outlines Wave Computing’s WaveFlow software (SW) framework for the online mapping of models from popular workflows like Tensorflow, MXNet and Caffe.
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Wave Computing
Published By: Adaptive     Published Date: Jan 24, 2013
Data Governance and Metadata Management are two closely associated Data Management Capabilities which organizations must address in order to truly turn their data into Information Assets.
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data, data management, data governance, metadata, adaptive, dataversity, white paper
    
Adaptive
Published By: MarkLogic     Published Date: Jun 16, 2013
The primary issue discussed within this paper boils down to two disparate database reliability models: ACID vs BASE. The first (ACID) has been around for some 30+ years, is a proven industry standard for SQL-centric and other relational databases, and works remarkably well in the older, yet still extant, world of vertical scaling. The second (BASE) has only recently gained popularity over the past 10 years or so, especially with the rise of social networking, Big Data, NoSQL, and other leviathans in the new world of Data Management. BASE requirements rose out of a need for ever-expanding horizontally scaled distributed networks, with non-relational data stores, and the real-time availability constraints of web-based transaction processing. While there are now more crossovers and negotiations between the two models, they essentially represent two competing groups, with Brewer’s CAP Theorem acting as the referee in the middle forcing tough decisions on each team.
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data, data management, unstructured data, nosql, database, acid, base, database transactioning
    
MarkLogic
Published By: DATAVERSITY     Published Date: Jun 17, 2013
This report analyzes many challenges faced when beginning a new Data Governance program, and outlines many crucial elements in successfully executing such a program. “Data Governance” is a term fraught with nuance, misunderstanding, myriad opinions, and fear. It is often enough to keep Data Stewards and senior executives awake late into the night. The modern enterprise needs reliable and sustainable control over its technological systems, business processes, and data assets. Such control is tantamount to competitive success in an ever-changing marketplace driven by the exponential growth of data, mobile computing, social networking, the need for real-time analytics and reporting mechanisms, and increasing regulatory compliance requirements. Data Governance can enhance and buttress (or resuscitate,if needed) the strategic and tactical business drivers every enterprise needs for market success.
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research paper, data, data management, data governance, data steward
    
DATAVERSITY
Published By: Sage EMEA     Published Date: Jan 29, 2019
SagecommissionedForresterConsultingtoconducta TotalEconomicImpact™(TEI)studytoexaminethe potentialreturnoninvestment(ROI)organizationsmay realizebydeployingits Enterprise Management solutionas part of Sage Business Cloud.Thepurpose ofthisstudyistoprovidereaders withaframework to evaluatethepotentialfinancialimpactof Enterprise Managementwithintheir organizations. Tobetter understandthebenefits,costs,andrisks associatedwithaninvestmentinEnterprise Management,Forrester conducted in-depth interviews withtwoEnterprise Managementcustomers. For a brief description of each customer, see the Analysis section. According toSage,Enterprise Managementis an integratedand globalenterprise business management solution for purchasing, manufacturing, inventory, sales, customer service,and financial management. Formoredetails ontheEnterprise Management solution,seeAppendix A. For this TEI study, Forrester has created a compositeOrganizationto illustrate the quantifiable benefits and costs of investing i
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Sage EMEA
Published By: Trustpilot     Published Date: Oct 26, 2018
If you’ve ever ordered your morning coffee and felt uninspired by the request to participate in an online survey or leave a social review regarding your experience, you probably didn’t have a particularly noteworthy experience. If you’re willing to take time out of your day to leave online feedback, it’s usually because you want to warn people about a bad encounter, or to help them make a better buying decision. Think the online review phenomena might sometimes have ulterior motives? Read on to see what we uncovered.
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Trustpilot
Published By: Dell SB     Published Date: Jan 24, 2019
Dell EMC PowerEdge rack servers help you build a modern infrastructure that minimizes IT challenges and drives business success. Choose from a complete portfolio of 1-2-and-4 socket rack servers to deliver high core density for your traditional applications, virtualization and cloud-native workloads. Enhanced mem ory speeds, faster NVMe storage options 1 and BIOS tuning allows you to match performance to your workload for ultimate efficienc y.
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Dell SB
Published By: Genesys     Published Date: Feb 08, 2019
Customers today expect their customer service to be as connected as they are. If you can’t deliver a seamless omnichannel customer experience or easily add digital channels such as mobile, social media and web, you risk being left behind. Some companies try to deliver omnichannel with dated technology, a tangle of point solutions, bolted together with duct tape. But you don’t have to. Read this ebook and see: Why force-fitting more channels into an aging infrastructure is not the right approach How to create a future-ready customer experience How an integrated approach improves your metrics and reduces operating costs
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Genesys
Published By: Fujitsu America, Inc.     Published Date: Oct 22, 2018
Most of the public and its public safety professionals live and work in a digital world of mobile devices instant connectivity, and geo-location. This one powerful fact, is changing the way police and first responders react to incidents and interact with the communities they serve. Types and severity of incidents are also changing, due in part to socio-cultural and environmental factors. Complicated risk scenarios requiring inter-agency coordination are occurring in both urban areas and once-sleepy suburban towns. To perform in this volatile new reality, public safety is undergoing a digital transformation focusing more on predictive and preventive practices. Download this whitepaper today to find out how Fujitsu can help your organisation today. Intel, the Intel logo, Intel Core, Intel vPro, Core Inside and vPro Inside are trademarks of Intel Corporation or its subsidiaries in the U.S. and/or other countries.
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business solutions, integrated management, public sector
    
Fujitsu America, Inc.
Published By: Fujitsu America, Inc.     Published Date: Jan 22, 2019
Most of the public and its public safety professionals live and work in a digital world of mobile devices, instant connectivity, and geo-location. This one powerful fact is changing the way police and first responders react to incidents and interact with the communities they serve. Types and severity of incidents are also changing, due in part to socio-cultural and environmental factors. Complicated risk scenarios requiring inter-agency coordination are occurring in both urban areas and once-sleepy suburban towns. To perform in this volatile new reality, public safety is undergoing a digital transformation focusing more on predictive and preventive practices.1 With the help of advanced technologies, citizens and trusted partners, agencies are: Intel, the Intel logo, Intel Core, Intel vPro, Core Inside and vPro Inside are trademarks of Intel Corporation or its subsidiaries in the U.S. and/or other countries.
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Fujitsu America, Inc.
Published By: Gameffective     Published Date: Feb 26, 2019
We all know that employee engagement is important. Employees that are aligned with their goals, aware of their performance gaps, and motivated to improve, perform better. It’s stating the obvious. The big question is how to get there, and whether technology can help us do this at scale. This is where most digital motivation initiatives hit a wall. A new breed of next generation performance and feedback systems are attempting to do just that: creating and maintaining a continuous personalized conversation between employees and managers with regards to performance, development and goals. In online marketing, personalizing messages and promotional activities has been possible for some time. It is called “Marketing Automation”. Hubspot, one of the pioneers in this field, defines it thus: “software that exists with the goal of automating marketing actions. Many marketing departments have to automate repetitive tasks such as emails, social media, and other website actions. The technology of
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Gameffective
Published By: Virtela Communications, Inc.     Published Date: Nov 16, 2009
Frost & Sullivan review the limitations associated with a single-provider approach to MPLS networks and its impact on the enterprise. They examine Virtela's Global Service Fabric - a multi-carrier network approach that provides a best-of-breed global MPLS network solution.
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virtela, frost & sullivan, mpls networks, virtela's global service fabric, mpls network solution, cos, multi-protocol label switching, wide area network, cos mapping, network consolidation
    
Virtela Communications, Inc.
Published By: NEC     Published Date: Aug 26, 2009
This is a case study which shows how Leicester Theatre Trust (LTT) implemented a revolutionary communications solution based around a service-orientated Unified Communications architecture from NEC.
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curve, nec, ltt, unified communications, architecture, service oriented architecture, soa, soc, service oriented communications
    
NEC
Published By: Marketo     Published Date: Feb 11, 2019
your brand What content you need to support your social media marketing How often to post on social media (and how to create an editorial calendar) How to measure the effectivene
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Marketo
Published By: CareerBuilder     Published Date: Sep 07, 2010
Whether you've had an employee referral program for years, are only in the initial stages of building one, or have never had one at all, this e-book is full of tips and advice on making your program the best it can be.
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careerbuilder, employee referral, recruiting, qualified, ebook, social networking, roi, training, hiring
    
CareerBuilder
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