data quality management

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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.
Tags : 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
     Oracle
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.
Tags : 3par, storeserv, storage, data, solutions, flash, data management
     HP
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.
Tags : oracle database, enterprise, quality assurance, data center, server infrastructure, storage management, oracle
     Oracle
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.
Tags : oracle database, enterprise, quality assurance, data center, server infrastructure, storage management, oracle
     Oracle
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."
Tags : ibm, big data, ibm infosphere, ibm biginsights, ibm bigintegrate, ibm bigquality, data management, data quality, data integration
     IBM
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.
Tags : ibm, big data, ibm infosphere, ibm biginsights, ibm bigintegrate, ibm bigquality, data management, data quality, data integration, data center
     IBM
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.
Tags : 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
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.
Tags : email list, email append, email address, cass, customer database, tower data, database, data quality, clean data, list management, towerdata
     TowerData
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.
Tags : 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
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.
Tags : 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
By: Oracle     Published Date: Nov 27, 2013
Today customers look to engage with organizations through an increasing number of channels – and expect more from every customer service and support experience. As a result, connecting customers quickly and efficiently with the information they need has become doubly important: both as a means to reduce service costs in a harsh economic climate, and as a key battleground in the drive to establish competitive differentiation and edge.
Tags : 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
     Oracle
By: SAS     Published Date: Mar 06, 2018
The most recent decade has seen rapid advances in connectivity, mobility, analytics, scalability, and data, spawning what has been called the fourth industrial revolution, or Industry 4.0. This fourth industrial revolution has digitalized operations and resulted in transformations in manufacturing efficiency, supply chain performance, product innovation, and in some cases enabled entirely new business models. This transformation should be top of mind for quality leaders, as quality improvement and monitoring are among the top use cases for Industry 4.0. Quality 4.0 is closely aligning quality management with Industry 4.0 to enable enterprise efficiencies, performance, innovation and business models. However, much of the market isn’t focusing on Quality 4.0, since many quality teams are still trying to solve yesterday’s problems: inefficiency caused by fragmented systems, manual metrics calculations, quality teams independently performing quality work with minimal cross-functional own
Tags : 
     SAS
By: IBM     Published Date: May 28, 2014
Read the whitepaper to find out how one client improved business value of their data by implementing InfoSphere Optim processes and technologies.
Tags : ibm, data lifecycle management, infosphere optim, 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, lifecycle management
     IBM
By: IBM     Published Date: Aug 30, 2010
Adopting an Integrated Data Management strategy can be a highly effective way to help IT support business growth, facilitate data governance and manage costs.
Tags : ibm, back-up, data quality, database management, knowledge and data management, storage management, data management, databases, enterprise software, hardware, information technology, software, storage
     IBM
By: SAS     Published Date: Mar 14, 2014
Jill Dyche and SpectraDynamo explains the importance of understanding how to manage data and issues regarding data categorization, retrieval and quality.
Tags : sas, data categorization, retrieval and quality, spectradynamo, telemetry data, data governance program, data management, data quality, business objectives, quality data, accuracy, lineage, structural consistency, relevant metrics, business relevance, measured value, emergent patterns, quality metrics, data center
     SAS
By: SugarCRM     Published Date: Dec 05, 2013
When making a CRM decision, it is important to ensure your deployment will not be hit with hidden fees or other extra costs that reduce the return on investment. This study reveals the total cost of ownership (TCO) among the four leading midmarket CRM solutions.
Tags : 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
     SugarCRM
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.
Tags : customer engagement, customer data, customer data platform, data quality, customer data management, customer experience, data-driven marketing
     RedPoint Global
By: SugarCRM     Published Date: Apr 08, 2014
CRM wurde lange als unabdingbares Vertriebs-Tool angesehen. Von den Vorteilen traditioneller CRM-Systeme profitierte jedoch hauptsächlich das Management anstatt die CRM-Nutzer an vorderster Front. Ein CRM für das Individuum kommt der gesamten Vertriebsorganisation zugute – ohne steigende Kosten.
Tags : 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
     SugarCRM
By: SugarCRM     Published Date: Apr 08, 2014
CRM has long been seen as a must-have sales tool. However, much of the value of traditional CRM accrues to managers, not the reps that use them daily. Learn how CRM designed for the individual benefits the entire sales organization from increased data quality to more predictable revenue pipelines.
Tags : 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
     SugarCRM
By: Oracle     Published Date: Nov 15, 2017
Webcast : Oracle Ravello : a cloud solutions for disposable workloads.
Tags : oracle database, enterprise, quality assurance, data center, server infrastructure, storage management, oracle
     Oracle
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.
Tags : oracle database, enterprise, quality assurance, data center, server infrastructure, storage management, oracle
     Oracle
By: Trillium Software     Published Date: Jun 29, 2011
This white paper highlights how BT's experience of IQIP can help to inform the challenge of organizing for enterprise wide DQ, lists the key organizational structures, outlines the roles of the potential main protagonists and summarizes the main lessons learned.
Tags : trillium software, data quality, mdm, master data management, british telecommunications, entreprise wide dq improvement program, data governance, nigel turner
     Trillium Software
By: SAP     Published Date: Jun 23, 2009
Learn the importance of Data Quality and the six key steps that you can take and put into process to help you realize tangible ROI on your data quality initiative.
Tags : 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, enterprise applications, data management
     SAP
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.
Tags : 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, enterprise applications, data management
     SAP Inc.
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