data quality management

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Published By: IBM     Published Date: Apr 14, 2017
Cloud-based data presents a wealth of potential information for organizations seeking to build and maintain a competitive advantage in their industry. However, 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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cloud-based data, data quality, data management, hybrid environment, decision making
    
IBM
Published By: IBM     Published Date: Jan 09, 2014
According to Dr. Barry Devlin of 9sight Consulting, the truth behind all the talk about big data and the possibilities it can offer is not hard to see, provided that organizations are willing to return to the principles of good data management processes.
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ibm, big data, 9sight consulting, data, it management, maximize business, deployment, business opportunities, big data usage, data warehouse, data center, business analytics, big data offerings, core business data, analytic data, puredata system, data virtualization, data integration, data types, data quality
    
IBM
Published By: IBM     Published Date: Jul 13, 2015
This paper discusses how InfoSphere capabilities can be used to create comprehensive and accurate 3600 views of your customers from internal and external sources.
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crm cloud solution, salesforce, user productivity, data enrichment, security, data quality, customer data search, customer relationship management, internet marketing, crm & customer care, e-commerce, sales
    
IBM
Published By: IBM     Published Date: Jul 13, 2015
This ebook explores how an enhanced 360-degree view of the customer optimizes and facilitates more personalized customer interactions.
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customer centric organizations, crm, customer usability, personalized interactions, big data, data quality, data management, internet marketing, crm & customer care, marketing research, sales
    
IBM
Published By: IBM     Published Date: Apr 06, 2015
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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big data, analytics, unstructured content, enterprise information, ibm
    
IBM
Published By: SugarCRM     Published Date: Nov 20, 2013
Organizations are frequently turning to SaaS solutions for their CRM needs. But there are risks when deploying any solution at scale, especially if you select the wrong vendor. Understand how to make the smart choice for your CRM solution in this informative eBook.
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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
    
SugarCRM
Published 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.
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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
    
SugarCRM
Published By: SugarCRM     Published Date: Jan 27, 2014
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 three 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
Published By: SugarCRM     Published Date: Jan 27, 2014
What if you could give everyone that touches customers an indispensable tool that optimizes business process, removes data silos and makes customer interaction extraordinary? See how Redglaze Group uses Sugar to give individuals access to critical data, optimize processes and improve efficiencies.
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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
    
SugarCRM
Published By: SugarCRM     Published Date: Jan 27, 2014
Customer relationship management software has been used by organizations of all types and sizes for over 20 years. However, few have managed to tap into the true potential of CRM. Learn how the power of CRM for the individual can transform your entire business.
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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
    
SugarCRM
Published 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.
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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
    
SugarCRM
Published By: SugarCRM     Published Date: Apr 08, 2014
Organizations are frequently turning to SaaS solutions for their CRM needs. But there are risks when deploying any solution at scale, especially if you select the wrong vendor. Understand how to make the smart choice for your CRM solution in this informative eBook.
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
Published By: Informatica     Published Date: Jan 16, 2007
The purpose of this white paper is to outline the importance of data quality with reference to single view of customer. In any organization SVC is the foundation of successful customer relationship management (CRM).
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crm, data quality, data integrity, customer relationship, data management/analytics
    
Informatica
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, email marketing services/software
    
TowerData
Published By: IBM     Published Date: Dec 12, 2006
The purpose of this paper is to highlight the issues, requirements, and technologies available for automated advanced name recognition.
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business process automation, data integration, data quality, information management, customer service, data management, enterprise software, contact management, marketing automation, crm, customer relationship management, ibm
    
IBM
Published By: IBM     Published Date: Dec 30, 2008
Does your business need to safeguard information, keep auditors and regulators satisfied, and improve data quality? Data governance is the answer. This informative video outlines the latest challenges and best practices in data governance. IBM data governance solutions help businesses with:• Audit and reporting • Data architecture/infrastructure • Data quality • Information lifecyle management • Metadata/business glossaries • Organizational design/development • Policy/risk management • Security/privacy/compliance • Stewardship/value creation
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ibm, data governance, safeguard information, data quality, data architecture, data infrastructure, information lifecycle management, metadata, business glossaries, organizational design, organizational development, policy management, risk management, security, privacy, compliance, stewardship, value creation
    
IBM
Published By: Soffront     Published Date: Aug 21, 2009
How marketing automation and CRM can help a mid-sized business consolidate data, improve customer information, streamline marketing efforts, and take full advantage of marketing campaigns.
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crm, smb, smbs, data consolidation, data quality, application integration, marketing, marketing roi, marketing efficiency, customer relationship management, marketing automation, soffront
    
Soffront
Published By: C2C Systems, Inc.     Published Date: Mar 15, 2007
This paper considers the use of email archives for compliance. It will also review how archives are trusted and look at what has to be done to ensure that integrity is maintained throughout the chain of events that take place within an email archive environment.
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compliance, email archiving, data quality, records management, personal email, enterprise email, email security, c2c
    
C2C Systems, Inc.
Published By: Informatica     Published Date: Sep 28, 2007
The purpose of this white paper is to outline the importance of data quality with reference to single view of customer. In any organization SVC is the foundation of successful customer relationship management (CRM).
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crm, data quality, data integrity, customer relationship, informatica, svc
    
Informatica
Published By: Trillium Software     Published Date: Jun 06, 2011
The second Web seminar in the series is titled "Data Governance". Learn how Digital River successfully implemented Data Governance across their organization.
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trillium software, operational data quality, upstream operational systems, data governance, data monitoring, businessprocesses, digital river, data management, business applications
    
Trillium Software
Published By: Trillium Software     Published Date: Jun 06, 2011
The fourth Web seminar in the series is titled "Tips, Tools & Best Practices" which shows how you can learn to deliver high performance data quality in real-time.
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trillium software, operational data quality, odq, performance management, real-time transactions, high performance data quality, business processes optimization, information integrity, reusable data quality, application optimization
    
Trillium Software
    
Optis
Published By: Oracle     Published Date: Nov 08, 2017
Webcast on why choose Oracle Cloud solutions
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oracle. database. cloud, enterprise, network, quality assurance, storage management, servers
    
Oracle
Published By: IBM     Published Date: May 02, 2014
This eBookoutlines the best practices for data lifecycle management and how InfoSphere Optimsolutions enable organizations to support and implement them.
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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, lifecycle management, big data strategy
    
IBM
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