data quality

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Published By: Unitrends     Published Date: Jun 15, 2010
In this document we're first going to explore the use of the insurance metaphor in terms of its most fundamental element: the broad consequences of data loss. We'll also discuss industry and regulatory consequences of data loss.
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unitrends, backup, data protection, data quality, server, replication, data loss, sox
    
Unitrends
Published By: Oracle     Published Date: Nov 27, 2013
Social-enabled customer service requires three primary capabilities. The capability to: 1. Listen and Respond: Treat Social Media as an Integrated Interaction Channel Most social-enabled contact centers are at the early adopter stage, attempting to “bolt on” social media as a side process. Many are experiencing inconsistent customer experiences, higher costs and negligible return on investments. Download this White Paper for more info.
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crm best practices, crm software, customer data management, customer experience & engagement, customer relationship management (crm), lead generation, lead management, lead nurturing, lead quality, lead scoring, sales automation, sales channels, sales force automation, sales management, knowledge management
    
Oracle
Published By: Epicor Software Corporation     Published Date: Apr 12, 2017
An Enterprise Resource Planning (ERP) system is a series of software applications or modules that collects data from your sales, purchasing, finance, inventory, supply chain, manufacturing and quality functions into a common database so that your company can share the information, coordinate activities and collaborate. If you’re looking for your first ERP system or looking to upgrade from an existing system, the evaluation, selection and implementation process is a long-term strategic decision for your organization.
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data management, data system, business development, software integration, resource planning, enterprise management, data collection
    
Epicor Software Corporation
Published By: SAS     Published Date: Sep 13, 2013
Insights from a webinar in the Applying Business Analytics webinar series.
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sas, big data, big data quality, data, terabytes, petabytes, exabytes, software development
    
SAS
Published By: HP     Published Date: Jul 22, 2014
HP offers an approach to the modern data center that addresses systemic limitations in storage by offering Tier-1 solutions designed to deliver the highest levels of flexibility, scalability, performance, and quality—including purpose-built, all-flash arrays that are flash-optimized without being flash-limited. This white paper describes how, through the incorporation of total quality management throughout each process and stage of development, HP delivers solutions that exceed customer quality expectations, using HP 3PAR StoreServ Storage as an example.
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3par, storeserv, storage, data, solutions, flash, data management, business technology
    
HP
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
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: IBM     Published Date: Apr 18, 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 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, data center
    
IBM
Published By: IBM     Published Date: May 23, 2017
This paper is on impact of the new features now available with version 11.1. It covers the use of DB2 within hybrid cloud environments.
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encryption, application development, operating system, market intelligence, data governance, data migration, data quality, ibm
    
IBM
Published By: SugarCRM     Published Date: Jan 20, 2015
After an initial rollout to more than 45,000 sales users, IBM wanted even greater insights. Thanks to the high usability of Sugar, IBM was able to increase sales data quality - which has gone on to power predictive sales analytics. Learn how IBM and SugarCRM are driving more effective sales teams.
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sales analytics, data quality, sales, high usability, enterprise applications, data management
    
SugarCRM
Published By: IBM     Published Date: Sep 10, 2009
IDC studied 14 mobile and fixed-line service providers that implemented Tivoli Netcool and found that IBM Tivoli Netcool can help in big ways. It reduces costs by improving operational efficiencies and still allows you to deliver a high-quality custom management.
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ibm, tivoli, netcool, roi, future proofing, data integration, operations productivity, cost reduction, user productivity, business value analysis, performance management, service quality management, and network fault management, cost efficiencies from consolidation, operations staff productivity, integrated solution
    
IBM
Published By: IBM     Published Date: Jan 19, 2017
The outcome of any big data analytics project, however, is only as good as the quality of the data being used. As big data analytics solutions have matured and as organizations have developed greater expertise with big data technologies he quality and trustworthiness of the data sources themselves are emerging as key concerns. 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, analytics, ecm, data, big data, information governance, enterprise applications, data management, business technology
    
IBM
Published By: OpenText     Published Date: May 15, 2012
Featured in SharePoint Pro magazine online, the OpenText white paper Extending SharePoint Across Your Information Architecture, by leading SharePoint consultant Colin Spence, offers valuable insights and best practices for integrating SharePoint with your full enterprise application environment.
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opentext, sharepoint, technology, buesiness, business information, it management, data quality, business technology
    
OpenText
Published By: Alteryx, Inc.     Published Date: Sep 06, 2017
From small organizations using spreadsheets and visual discovery tools to large enterprises trying to improve data quality and delivery, data preparation difficulties are a major concern. Download your complimentary copy of the full report so you can tackle your data preparation challenges.
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Alteryx, Inc.
Published By: Fiserv     Published Date: Nov 07, 2017
Digital loan origination processes can still require significant manual support, which is often inaccurate and time-consuming. This National Mortgage News paper, sponsored by Fiserv, explains how you can improve your current loan production while reducing costs and risk of non-compliance.
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loan quality, loan data quality, mortgage quality, mortgage data quality, loan compliance, lending compliance, mortgage compliance, trid, tila respa integrated disclosure, lending efficiency, loan automation, lending automation, mortgage automation, ucd, uniform closing dataset, borrower satisfaction, borrower experience
    
Fiserv
Published By: Fiserv     Published Date: Nov 09, 2017
Digital loan origination processes can still require significant manual support, which is often inaccurate and time-consuming. This National Mortgage News paper, sponsored by Fiserv, explains how you can improve your current loan production while reducing costs and risk of non-compliance.
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loan quality, loan data quality, mortgage quality, mortgage data quality, loan compliance, lending compliance, mortgage compliance, trid, tila respa integrated disclosure, lending efficiency, loan automation, lending automation, mortgage automation, ucd, uniform closing dataset, borrower satisfaction, borrower experience
    
Fiserv
Published By: TowerData     Published Date: Jan 20, 2007
Visitors to your website are valuable leads and capturing their contact information is essential to converting them to customers. However, when prospects enter email addresses and phone numbers into a web form they often make mistakes, such as misspellings and typos, or they falsify data, which prevents you from being able to contact them.
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email list, email append, email address, cass, customer database, tower data, database, data quality, clean data, list management, towerdata
    
TowerData
Published By: BusinessOnLine     Published Date: Jun 19, 2015
As company buying behaviors evolve, it's imperative to evolve your marketing strategies to align with the new marketplace. Luckily, with customer data becoming more and more available, smart industrial marketers are armed with high-quality proof points to establish efficient and effective programs that prove and improve marketing ROI.
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BusinessOnLine
Published By: Trillium Software     Published Date: May 19, 2011
By implementing the six pillars of data quality optimization, your organization can incrementally improve the quality of the data that drives all your operations.
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trillium software, data quality management, iqm, information quality management, quality maturity model, enterprise data management, edm, data storage requirements, digital universe, data hygiene best practices, data standards, data monitoring
    
Trillium Software
Published By: IBM     Published Date: May 02, 2014
The end-to-end information integration capabilities of IBM® InfoSphere® Information Server are designed to help organizations understand, cleanse, monitor, transform and deliver data—as well as collaborate to bridge the gap between business and IT.
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ibm, integrating big data, governing big data, integration, best practices, big data, ibm infosphere, it agility, performance requirements, hadoop, scalability, data integration, big data projects, high-quality data, leverage data replication, data persistence, virtualize data, it management, data management, data center
    
IBM
Published By: Informatica     Published Date: Apr 16, 2007
David Loshin, consultant and author talked to Karen Hsu about Informatica's data quality, unstructured data and data governance solutions. Karen highlighted customers like Navteq and Humberside Police's innovative use of Informatica.
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b-eye, business intelligence, data integration, karen hsu, interview, informatica, crm, customer relationship management, crm tools, crm tool, data governance, data quality
    
Informatica
Published By: Informatica     Published Date: Sep 28, 2007
David Loshin, consultant and author talked to Karen Hsu about Informatica's data quality, unstructured data and data governance solutions. Karen highlighted customers like Navteq and Humberside Police's innovative use of Informatica.
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b-eye, business intelligence, data integration, karen hsu, interview, informatica, crm, customer relationship management, crm tools, crm tool, data governance, data quality, data management
    
Informatica
Published By: Melissa Data     Published Date: Nov 18, 2008
Learn what a Web Service is and how it works, the advantages of using a Data Quality Web Service, the technology assessment for implementation, and several case studies (Saab and other real world case studies) to demonstrate real life successes.
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melissa data, data quality, contact data verification, address verification, validate address, address verification software, address verify, address validation software, data quality tools, data quality management, data quality objects, data quality api, address quality, data cleanse, data hygiene, data quality, data quality analysis, data quality api, data quality assurance, data quality control
    
Melissa Data
Published By: EMA     Published Date: Aug 22, 2012
Join EMA Research Director, Charles Betz, and Blazent Senior Director of Sales Engineering, Adam Clark, to learn how Blazent is pioneering a new approach to master data management that can greatly improve the business results from IT.
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it infrastructure, data management, backup and recovery, data strategy, data quality, blazent, improving business results
    
EMA
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