information quality management

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Published By: TD Bank Group     Published Date: Aug 10, 2018
This paper examines whether blockchain distributed ledger technology could improve the management of trusted information, specifically considering data quality. Improvement was determined by considering the impact of a distributed ledger as an authoritative source in TD Bank Group's Enterprise Data Quality Management Process versus the use of standard authoritative sources such as databases and files. Distributed ledger technology is not expected, or proven, to result in a change in the Data Quality Management process. Our analysis focused on execution advantages possible due to distributed ledger properties that make it an attractive resource for data quality management (DQM).
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TD Bank Group
Published By: birst     Published Date: Jan 21, 2013
This Dive Deep analyst report looks at the process of building an environment for what can be aptly termed Agile Business Analytics.
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data, data management, data governance, big data, cloud, business intelligence, semantic technology, nosql, information quality, data quality, metadata, enterprise information management, master data management, mdm, analytics, database
    
birst
Published By: SAP     Published Date: Jan 23, 2013
This paper examines the root causes of data centralization failure and then reviews straightforward best practices that can help avoid such failures but are typically ignored when systems are designed in an ad hoc, organic manner.
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data, data management, data governance, big data, cloud, business intelligence, semantic technology, nosql, information quality, data quality, metadata, enterprise information management, master data management, mdm, analytics, database
    
SAP
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 donít 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: CA Service Assurance     Published Date: May 15, 2011
Evolving to the next level of IT effectiveness requires a new level of integration and analysis of cross-silo management information. This involves linking application status and root-cause information with infrastructure status and relating that to impact on IT service quality. Read this brief to learn how this approach to IT management can benefit your organization.
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it operational efficiency, cross-silo, infrastructure status, it service quality, it management, business service analytics, reporting
    
CA Service Assurance
Published By: Trillium Software     Published Date: May 25, 2011
To achieve business goals and objectives, you must first optimize the information supporting all of your business processes. Implementing an Information Quality Management practice and applying best practices will help maximize the value of your information.
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trillium software, information quality management, iqm, business process silos, tactical data, strategic information, productivity, mdm, michele goetz, information maturity
    
Trillium Software
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, business intelligence, data quality, data warehousing
    
Trillium Software
Published By: Trillium Software     Published Date: May 25, 2011
To achieve business goals and objectives, you must first optimize the information supporting all of your business processes. Implementing an Information Quality Management practice and applying best practices will help maximize the value of your information.
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trillium software, information quality management, iqm, business process silos, tactical data, strategic information, productivity, mdm, michele goetz, information maturity, data quality, information management
    
Trillium Software
Published By: Trillium Software     Published Date: May 25, 2011
Why is it important to align the groups responsible for your critical business processes and your data management efforts? Learn how to create a partnership between business and IT to deliver higher value to your business.
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trillium software, data management, business process, rob karel, forrester, information quality management, business value, data quality, information management
    
Trillium Software
Published By: SAP     Published Date: Feb 21, 2008
Many significant business initiatives and large IT projects depend upon a successful data migration. Your goal is to minimize as much risk as possible through effective planning and scoping. This paper will provide insight into what issues are unique to data migration projects and offer advice on how to best approach them.
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sap, data architect, data migration, business objects, information management software, bloor, sap r/3, application, enterprise applications, data quality management, master data management, mdm, extraction, transformation load, etl, database development, data integration
    
SAP
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, enterprise applications, data management
    
IBM
Published By: IBM     Published Date: Apr 20, 2017
We are pleased to present the findings of The State of Mobile Application Insecurity sponsored by IBM. The purpose of this research is to understand how companies are reducing the risk of unsecured mobile apps in the workplace. Ponemon Institute is dedicated to independent research and education that advances responsible information and privacy management practices within business and government. Our mission is to conduct high quality, empirical studies on critical issues affecting the management and security of sensitive information about people and organizations.
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(delete)mobile application, malware protection, mobile security, application security, proprietary software, open source software, cloud services, source code testing
    
IBM
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