data quality management

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Published By: Tripp Lite     Published Date: Jun 28, 2018
When you’re designing a data center, server room or network closet, deciding which racks to deploy and how to configure them should be at the top of your list. Just like building a house, the surface details may steal the spotlight, but it’s the quality of the underlying foundation that makes the difference between success and frustration. Racks organize IT equipment, such as servers and network switches, into standardized assemblies that make efficient use of space and other resources. Depending on the options you choose, they can also improve power protection, cooling, cable management, device management, physical security, mobility, ease of installation and protection from harsh environmental conditions. Choosing the right racks and configuring them to match your needs will ensure that your IT equipment operates reliably and efficiently, saving your organization from costly downtime and other needless expenses.
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Tripp Lite
Published By: SAS     Published Date: Jan 17, 2018
Executives, managers and information workers have all come to respect the role that data management plays in the success of their organizations. But organizations don’t always do a good job of communicating and encouraging better ways of managing information. In this e-book you will find easy to digest resources on the value and importance of data preparation, data governance, data integration, data quality, data federation, streaming data, and master data management.
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SAS
Published By: Dun & Bradstreet     Published Date: Mar 03, 2017
Complexity, globalization and digitalization are just some of the elements at play in the risk landscape—and data is becoming a core part of understanding and navigating risk. How do modern finance leaders view, navigate and manage enterprise risk with data? Dun & Bradstreet surveyed global finance leaders across industries and business types. Here are the top trends that emerged from the study: 1. The Enterprise Risk & Strategy Disconnect—Finance leaders are using data and managing risk programs, but over 65% of finance leaders say there’s missing link between risk and strategy. 2. The Risks of the Use and Misuse of Data—Up to 50% of the data used to manage modern risk is disconnected. Only 15% of leaders are confident about the quality of their data. 3. Risky Relationships—Only 20% of finance leaders say the data they use to manage risk is fully integrated and shared. Download the study to learn how finance leaders are approaching data and enterprise risk management
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Dun & Bradstreet
Published By: Oracle     Published Date: Nov 08, 2017
L’infrastructure Cloud, vous avez dû vous y mettre au début en prenant beaucoup de précaution… Vous avez probablement limité votre périmètre à un provisionnement rapide ou à une diminution des coûts matériels ou opérationnels. Mais comment résister aux avantages de cette technologie ? Le cloud continue d’évoluer et de gagner en crédibilité dans tous les secteurs d’activité. Aujourd’hui, nous attendons de tous les systèmes d’entreprise qu’ils intègrent les avantages du cloud.
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oracle database, enterprise, quality assurance, data center, server infrastructure, storage management, oracle
    
Oracle
Published By: Oracle     Published Date: Nov 08, 2017
All’inizio, probabilmente avrai scelto di adottare l’infrastruttura cloud con una certa prudenza, limitandoti a un approvvigionamento rapido o alla riduzione dei costi operativi o delle macchine. Ma come resistere ai vantaggi di questo nuovo modo di fruire della tecnologia? Il cloud continua a evolvere e a conquistare credibilità in tutti i settori. Oggi, ci aspettiamo che ogni sistema aziendale possa beneficiare dei vantaggi del cloud.
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oracle database, enterprise, quality assurance, data center, server infrastructure, storage management, oracle
    
Oracle
Published By: Oracle     Published Date: Nov 08, 2017
I progressi nel campo digitale rivoluzionano in profondità il nostro modo di lavorare, introducendo innovazioni nei nostri uffici praticamente ogni giorno. Queste tecnologie hanno alzato il livello delle aspettative, costringendo le aziende a operare con un'agilità senza precedenti. Questi cambiamenti sono grandi opportunità, ma purtroppo ci imbattiamo anche in nuovi ostacoli che possono intralciare la nostra marcia verso il successo, come la necessità di innovare rapidamente, di minimizzare i costi e di reagire prontamente alle pressioni della concorrenza.
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oracle database, enterprise, quality assurance, data center, server infrastructure, storage management, oracle
    
Oracle
Published By: Oracle     Published Date: Nov 08, 2017
La tecnologia IaaS, un tempo vista con scetticismo da molti responsabili IT, viene oggi adottata da molte aziende, che trasferiscono sul cloud i workload e accantonano l’architettura locale che prima ritenevano indispensabile. Nonostante i vantaggi in termini di prestazioni, flessibilità e opportunità di innovazione sperimentati dagli utenti che già hanno adottato questa tecnologia, alcune aziende ritardano la migrazione per paura del cambiamento.
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oracle database, enterprise, quality assurance, data center, server infrastructure, storage management, oracle
    
Oracle
Published By: Oracle     Published Date: Nov 08, 2017
Les avancées du numérique révolutionnent la manière dont nous travaillons, en apportant des innovations de façon permanente dans notre quotidien de travail. Ces technologies très prisées ont renforcé les attentes, obligeant les organisations à développer l'agilité métier à des niveaux sans précédent. Même si les opportunités annoncées sont prometteuses, nous sommes confrontés à de nouveaux freins qui peuvent faire obstacle à la réussite, comme la nécessité d'innover rapidement, de minimiser les coûts et de répondre rapidement aux pressions exercées par la concurrence.
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oracle database, enterprise, quality assurance, data center, server infrastructure, storage management, oracle
    
Oracle
Published By: Oracle     Published Date: Nov 08, 2017
Pour réussir dans le contexte concurrentiel actuel, les entreprises doivent se liberer des limites inhérentes à leurs infrastructures informatiques existantes. L’époque de l’achat de matériel et de la gestion d’énormes centres de données pour faire fonctionner les systèmes informatiques est en train de prendre fin. La gestion et la maintenance des infrastructures sont tout simplement trop coûteuses.
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oracle database, enterprise, quality assurance, data center, server infrastructure, storage management, oracle
    
Oracle
Published By: Oracle     Published Date: Nov 15, 2017
Webcast : Oracle Ravello : a cloud solutions for disposable workloads.
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oracle database, enterprise, quality assurance, data center, server infrastructure, storage management, oracle
    
Oracle
Published By: Oracle     Published Date: Nov 08, 2017
Digital developments are forever shaping the way we work, bringing new innovations through our office doors almost every day. These high-demand technologies have increased expectations, with organizations now having to drive business agility at unprecedented levels. Although we’re presented with enormous opportunity, we also face new obstacles that can block the path to success; obstacles such as the need to innovate quickly, keep costs down, and actively respond to competitive pressures.
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oracle database, enterprise, quality assurance, data center, server infrastructure, storage management, oracle
    
Oracle
Published By: Oracle     Published Date: Nov 08, 2017
To succeed in today’s competitive reality, businesses need to free themselves from the limitations of legacy IT infrastructure. The days of purchasing hardware and maintaining massive data centers to run IT must come to an end. Managing and maintaining your infrastructure is simply too expensive. Explanation of the Oracle IaaS solutions and cases studies.
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oracle database, enterprise, quality assurance, data center, server infrastructure, storage management, oracle
    
Oracle
Published By: Oracle     Published Date: Nov 08, 2017
IT departments are under constant pressure to do more with less. Now, as well as keeping the lights on, they are expected to deliver projects that create real business value. As more businesses use digital technologies to disrupt their markets, this pressure is intensifying. Infrastructure as a service (IaaS) is evolving against this background. Initially, it caught CIOs’ attention because it helped them cut costs. Today, IaaS underpins organizations’ agility in the face of disruption and drives innovation-led growth.
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oracle database, enterprise, quality assurance, data center, server infrastructure, storage management, oracle
    
Oracle
Published By: Oracle     Published Date: Nov 15, 2017
This Webcast displays why choose Oracle Cloud solutions View this video now to find out more.
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oracle database, enterprise, quality assurance, data center, server infrastructure, storage management, oracle
    
Oracle
Published By: RedPoint Global     Published Date: May 11, 2017
Marketing organizations are often limited in their ability to progress marketing tactics from single channel to cross-channel and real-time customer engagement. While marketing organizations might have a robust customer engagement strategy in place, often times there is a gap between their strategy and their ability to execute, with the right personalization and context that customers prefer. Over 62 percent of customers are always-on and readily addressable, but marketers aren’t implementing the right strategies to reach them. This eBook discusses data-driven marketing tactics that can help marketers mind the gap – bridging customer strategy and ability to execute, with the right personalization and context that customers prefer.
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customer engagement, customer data, customer data platform, data quality, customer data management, customer experience, data-driven marketing
    
RedPoint Global
Published By: Hitachi Vantara     Published Date: Mar 20, 2018
ESG Lab performed hands-on evaluation and testing of the Hitachi Content Platform portfolio, consisting of Hitachi Content Platform (HCP), Hitachi Content Platform Anywhere (HCP Anywhere) online file sharing, Hitachi Data Ingestor (HDI), and Hitachi Content Intelligence (HCI) data aggregation and analysis. Testing focused on integration of the platforms, global access to content, public and private cloud tiering, data quality and analysis, and the ease of deployment and management of the solution.
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Hitachi Vantara
Published By: Plex Systems     Published Date: Aug 15, 2014
There has been no shortage of high profile recalls over the past several years. Suppliers are being required to provide more robust quality management systems, provide better real-time visablity into manufacturing data, and may even be held accountable for additional charge-back and warranty claims. Take a next generation approach to quality management.
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Plex Systems
Published By: IBM     Published Date: Jul 06, 2016
Built using the IBM® InfoSphere® Information Server, IBM BigInsights® BigIntegrate and BigInsights BigQuality provide the end-to-end information integration and governance capabilities that organizations need.
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ibm, big data, ibm infosphere, ibm biginsights, ibm bigintegrate, ibm bigquality, data management, data quality, data integration
    
IBM
Published By: IBM     Published Date: Jul 08, 2016
Big data analytics offer organizations an unprecedented opportunity to derive new business insights and drive smarter decisions. The outcome of any big data analytics project, however, is only as good as the quality of the data being used. Although organizations may have their structured data under fairly good control, this is often not the case with the unstructured content that accounts for the vast majority of enterprise information. Good information governance is essential to the success of big data analytics projects. Good information governance also pays big dividends by reducing the costs and risks associated with the management of unstructured information. This paper explores the link between good information governance and the outcomes of big data analytics projects and takes a look at IBM's StoredIQ solution.
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ibm, idc, big data, data, analytics, information governance
    
IBM
Published By: IBM     Published Date: Oct 13, 2016
Data quality and master data management in a hybrid environment
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ibm, mdm, big data, ibm infosphere
    
IBM
Published By: IBM     Published Date: Jan 27, 2017
Cloud-based data presents a wealth of potential information for organizations seeking to build and maintain a competitive advantage in their industry. However, as discussed in “The truth about information governance and the cloud,” most organizations will be confronted with the challenging task of reconciling their legacy on-premises data with new, third-party cloud-based data. It is within these “hybrid” environments that people will look for insights to make critical decisions.
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IBM
Published By: SAS     Published Date: Sep 19, 2018
We are offering this second edition resource as a business oriented, working guide to core data management practices. In this ebook you will find easy to digest resources on the value and importance of data preparation, data governance, data integration, data quality, data federation, streaming data, and master data management.
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SAS
Published By: MarkLogic     Published Date: Mar 29, 2018
Executives, managers, and users will not trust data unless they understand where it came from. Enterprise metadata is the “data about data” that makes this trust possible. Unfortunately, many healthcare and life sciences organizations struggle to collect and manage metadata with their existing relational and column-family technology tools. MarkLogic’s multi-model architecture makes it easier to manage metadata, and build trust in the quality and lineage of enterprise data. Healthcare and life sciences companies are using MarkLogic’s smart metadata management capabilities to improve search and discovery, simplify regulatory compliance, deliver more accurate and reliable quality reports, and provide better customer service. This paper explains the essence and advantages of the MarkLogic approach.
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enterprise, metadata, management, organizations, technology, tools, mark logic
    
MarkLogic
Published By: MarkLogic     Published Date: May 07, 2018
Executives, managers, and users will not trust data unless they understand where it came from. Enterprise metadata is the “data about data” that makes this trust possible. Unfortunately, many healthcare and life sciences organizations struggle to collect and manage metadata with their existing relational and column-family technology tools. MarkLogic’s multi-model architecture makes it easier to manage metadata, and build trust in the quality and lineage of enterprise data. Healthcare and life sciences companies are using MarkLogic’s smart metadata management capabilities to improve search and discovery, simplify regulatory compliance, deliver more accurate and reliable quality reports, and provide better customer service. This paper explains the essence and advantages of the MarkLogic approach.
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agile, enterprise, metadata, management, organization
    
MarkLogic
Published By: SAP Inc.     Published Date: Jul 28, 2009
Data quality is an elusive subject that can defy measurement and yet be critical enough to derail any single IT project, strategic initiative, or even a company as a whole.
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roi, data quality, sap, return-on-investment, crm, erp, enterprise resource management, customer relationship management, crm, business intelligence, referential integrity, sql, data quality scoring, target marketing
    
SAP Inc.
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