metadata management

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Published By: Extensis     Published Date: Jun 08, 2010
Metadata Management is the process of ensuring that all metadata associated with a digital asset is captured, organized, stored and made available for use by and within other applications. Metadata Management begins at the moment the digital asset is created by an application or captured by digital imaging.
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metadata, management, extensis, digital asset management'
    
Extensis
Published By: Cherwell Software     Published Date: Apr 07, 2016
Cherwell Service Management™ software empowers IT organizations to easily manage their infrastructure at a fraction of the cost and complexity associated with traditional, legacy IT service management software. Designed with a metadata-driven approach, the Cherwell Service Management platform can easily be configured to meet process and integration requirements without writing or touching a single line of code. Furthermore, configurations will never break during version upgrades.
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best practices, customer support, business intelligence, business optimization
    
Cherwell Software
Published By: Cleversafe     Published Date: Mar 29, 2013
Scalability has always been an important characteristic of enterprise storage systems, maybe the most important, since the rationale of consolidating storage assumes that the system can easily grow with aggregate demand.
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object storage, cloud storage, access nodes, scalability, metadata, storage controller, backup and recovery, network attached storage, raid, storage area networks, storage management, storage virtualization, application integration, application performance management, best practices, data deduplication, business technology
    
Cleversafe
Published By: IBM     Published Date: Apr 14, 2017
The growing need for organizations to treat information as an asset is making metadata management strategic, driving significant growth for metadata management solutions. We evaluate nine vendors to help data and analytics leaders find the solution that best suits the needs of their organization.
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data management, data system, business development, software integration, resource planning, enterprise management, data collection, metadata, business meta data, market data
    
IBM
Published By: Vectra Networks     Published Date: Aug 03, 2015
The data in this report is based on metadata from Vectra customers and prospects who opted to share detection metrics from their production network environments.
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post intrusion report, metadata, network threats, network security management, it security, botnet monetization, data exfiltration, security management, best practices, advanced persistent threat, apt, ids, ips, malware, security insight, threat landscape
    
Vectra Networks
Published By: Kofax     Published Date: Sep 08, 2011
This whitepaper will review how business processes are more efficient in an electronic data environment. Enterprise Capture enables customer service improvement, cost cutting, and compliance for financial institutions such as Flagstar and Randolph Brooks Federal Credit Union (RBFCU).
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kofax ktm, transformation modules, capture, vrs, scan to process, enterprise capture, customer-centric, automated document classification, metadata extraction, new account applications, mfps, loan and mortgage processing, sap, funds processing, credit card application processing, swift format, icr, ocr, omr, automatically index
    
Kofax
Published By: Kofax     Published Date: Sep 08, 2011
See how some retail banks have redirected their focus to a more customer -centric approach. This whitepaper includes success stories from Banco Inversis and GMAC Commercial Mortgage Corporation (now Ally Financial) which highlight how Kofax has helped them maintain and even increase their competitive edge.
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kofax ktm, transformation modules, capture, vrs, scan to process, enterprise capture, customer-centric, automated document classification, metadata extraction, new account applications, mfps, loan and mortgage processing, sap, funds processing, credit card application processing, swift format, icr, ocr, omr, automatically index
    
Kofax
Published By: Kofax     Published Date: Sep 08, 2011
The Kofax enterprise capture platform offers unmatched scalability from centralized to highly distributed environments, from individual desktops to enterprise deployments and from basic archival scanning to powerful document classification and separation and data extraction. The company's market leading technology supports a wide variety of input devices and line of business applications, providing a strong enterprise-wide platform on which to standardize document driven processes.
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kofax ktm, transformation modules, capture, vrs, scan to process, enterprise capture, customer-centric, automated document classification, metadata extraction, new account applications, mfps, loan and mortgage processing, sap, funds processing, credit card application processing, swift format, icr, ocr, omr, automatically index
    
Kofax
Published By: SAS     Published Date: Nov 10, 2014
Learn how data is evolving and the 7 reasons why a comprehensive data management platform supersedes the data integration toolbox that you are using these days.
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sas, data integration, data evolution, comprehensive data, data management, data virtualization, data warehouses, data profiling, metadata management, data center
    
SAS
Published By: SAS     Published Date: Nov 10, 2014
Learn how this upcoming year should be the year you make your big data actionable and see what else you should be doing to maximize its potential.
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sas, data integration, data evolution, comprehensive data, data management, data virtualization, data warehouses, data profiling, metadata management, data center
    
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: SnapLogic     Published Date: Aug 17, 2015
This whitepaper addresses new elastic iPaaS requirements in detail while highlighting the importance of each.
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elastic ipaas requirements, hybrid deployments, minimal lifecycle management, future-proofing, metadata-driven integration, error management, transactional support, pre-built connectivity
    
SnapLogic
Published By: SAS     Published Date: Mar 06, 2018
For data scientists and business analysts who prepare data for analytics, data management technology from SAS acts like a data filter – providing a single platform that lets them access, cleanse, transform and structure data for any analytical purpose. As it removes the drudgery of routine data preparation, it reveals sparkling clean data and adds value along the way. And that can lead to higher productivity, better decisions and greater agility. SAS adheres to five data management best practices that support advanced analytics and deeper insights: • Simplify access to traditional and emerging data. • Strengthen the data scientist’s arsenal with advanced analytics techniques. • Scrub data to build quality into existing processes. • Shape data using flexible manipulation techniques. • Share metadata across data management and analytics domains.
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SAS
Published By: IBM     Published Date: May 28, 2014
The ability to keep pace with trends like big data, open data, sophisticated analytics, and the de-compartmentalization of data silos and processes, distinguishes leading master data management (MDM) solutions from their counterparts. IBM, one of the five vendors in this evaluation, is positioned as THE leader with the most prominent, widely implemented solution in the market.
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ibm, forrester, master data management, big data, database management technology, data administrators, infosphere, biginsights, industry-standard sql, management systems, database metadata, application programming interfaces, api, data persistence, virtualize data, lifecycle management, big data strategy, it management, data management, data center
    
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, enterprise applications, data management
    
IBM
Published By: SchemaLogic     Published Date: Jun 11, 2008
In the Life Sciences industry, information is the source of innovation. Vast varieties of content and information sources feed the development pipeline. The ability to create, share, navigate, find and protect essential information is critical to research and development groups, clinicians, regulatory agencies, marketing teams, and those who benefit the most - customers.
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pharm, pharmaceutical, pharmaceuticals, medicine, life science, chemistry, chemical, biological, metadata, mdm, metadata management, schemalogic, data management
    
SchemaLogic
Published By: SchemaLogic     Published Date: Jun 11, 2008
Oil & Gas companies operate in an increasingly complex environment. SchemaLogic's enterprise solution for managing content and document metadata enables Oil & Gas companies to model, update and synchronize content across project document repositories or collections for greater reliability and reduced total installed cost.
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mdm, metadata management, oil, gas, petroleum, energy, content management, document management, documentum, schemalogic, data management
    
SchemaLogic
Published By: Extensis     Published Date: Dec 03, 2009
A straightforward guide to defining an efficient workflow, creating catalogs, organizing your files and more.
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extensis, dam, digital asset management, workflow, efficient work, metadata, digital asset management'
    
Extensis
Published By: IBM     Published Date: May 02, 2014
Learn more about Forrester’s results, and how these organizations are realizing both economic and operational benefits with InfoSphere Optim solutions.
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ibm, big data, big sql, querying data, database management technology, apache hadoop, data administrators, infosphere, biginsights, industry-standard sql, management systems, database metadata, application programming interfaces, api, data persistence, virtualize data, lifecycle management, big data strategy, it management, data management
    
IBM
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