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unstructured content

Results 1 - 16 of 16Sort Results By: Published Date | Title | Company Name
Published By: Attivio     Published Date: Aug 20, 2010
With the explosion of unstructured content, the data warehouse is under siege. In this paper, Dr. Barry Devlin discusses data and content as two ends of a continuum, and explores the depth of integration required for meaningful business value.
Tags : 
attivio, data warehouse, unified information, data, content, unstructured content, integration, clob, blob, business intelligence, database development, data protection, data quality, data warehousing
    
Attivio
Published By: Attivio     Published Date: Aug 20, 2010
Current methods for accessing complex, distributed information delay decisions and, even worse, provide incomplete insight. This paper details the impact of Unified Information Access (UIA) in improving the agility of information-driven business processes by bridging information silos to unite content and data in one index to power solutions and applications that offer more complete insight.
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attivio, data warehouse, unified information, data, content, unstructured content, integration, clob, blob, database development, data protection, data warehousing
    
Attivio
Published By: Hyland Software     Published Date: Jun 16, 2016
Fueled by new technologies, expanding regulations and greater patient expectations, thereís a clinical content gold rush in the healthcare market. Sources and types of clinical content grow at an exponential rate and through increasingly refined input methods, including voice and improved OCR, clinicians capture more unstructured information about their patients than ever before. Making all clinically relevant content available together, in one place seems like a simple request. Must the response be so complex?
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healthcare, technology, solutions, best practices, business management, process management, analytics, content management
    
Hyland Software
Published By: IBM     Published Date: Oct 12, 2015
This IBM-commissioned profile of government information management professionals examines the challenges of dealing with the increase in digital and unstructured content as well as the roles that shared capture service and improved case management.
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ibm, forrester, digital, engagement, forrester technology, information management, software development, it management, knowledge management, enterprise applications
    
IBM
Published By: IBM     Published Date: Jul 08, 2016
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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ibm, idc, big data, data, analytics, information governance, knowledge management, data management, data center
    
IBM
Published By: Group M_IBM Q1'18     Published Date: Dec 21, 2017
Consider the volume of business content that your organization generates or receives every day: applications, forms, reports, office documents, audio, video, and even social media about your company. If it is poorly managed, not digitized, or disconnected from critical business processes, it creates chaos. This chaos impacts your ability to deliver exceptional customer service; it slows down important processes, increases security risk, and negatively impacts revenue. Conversely, controlling content chaos can significantly improve your analytics strategy by gaining insight and business value from dark or unstructured data sources. In this eBook, learn how cognitive and cloud-based Enterprise Content Management, or ECM, can help you protect your content while gaining a competitive advantage from it as you grow.
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business content, volume, cloud-based, enterprise content management, ecm
    
Group M_IBM Q1'18
Published By: Imation Scalable Storage     Published Date: Apr 06, 2012
Learn how you can use data tiering to transform unstructured data into "content" while keeping protection high and costs low.
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imation, tiering, data, recovery, scalable, scalable storage, protect, connect, store, retention, retrieval, recover, mobile security, consumer, security
    
Imation Scalable Storage
Published By: OnBase by Hyland     Published Date: Jun 29, 2015
Unstructured content annoys clinicians and staff. They have to find it. They have to wait for it. They have to worry about whether itís been lost or misplaced. Turn that source of annoyance into a point of efficiency with enterprise content management (ECM) technology. Learn how to find your unstructured content, capture it and make it work for you.
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user experience, enterprise content management, productivity, security, compliance, it management, enterprise applications
    
OnBase by Hyland
Published By: Acquia     Published Date: Sep 14, 2011
With Drupal, it is easy to produce engaging, content rich websites, incorporate both structured and unstructured data sources, and blend published information with user-generated content.
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acquia, technology, drupal, assmebled web, content rich websites, user-generated content, data sources, enterprise software, web development, web services, application integration, business intelligence
    
Acquia
Published By: NetApp     Published Date: Dec 12, 2013
IT managers have indicated their two most significant challenges associated with managing unstructured data at multiple locations were keeping pace with data growth and improving data protection. Learn how the NetApp Distributed Content Repository provides advanced data protection and system recovery capabilities that can enable multiple data centers and remote offices to maintain access to data through hardware and software faults.
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netapp, lab validation, distibuted content repositor, big content scalability, enterprise reliability, intelligent object management, data management, application integration, application performance management, business intelligence, data center
    
NetApp
Published By: Gartner     Published Date: Dec 21, 2011
Enterprise content management (ECM) represents both a strategy to deal with all types of unstructured content and a set of software products for managing the entire content life cycle. However, new content types and disruptive forces - such as the consumerization of IT - continue to multiply the number of repositories and applications that enterprises must deal with.
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gartnet, enterprise, content management, technology, ecm, information management, business intelligence, content management system, secure content management
    
Gartner
Published By: IBM     Published Date: Jul 01, 2015
The impact of streaming analytics and leveraging expertise in the healthcare sector.
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data insights, healthcare data, healthcare analytics, unstructured content analytics, computation-intensive analytics, ibm big data, enterprise-class data management
    
IBM
Published By: IBM     Published Date: Feb 24, 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.
Tags : 
big data, ibm, big data outcomes, information governance, big data analytics, it management, data management, data center
    
IBM
Published By: IBM     Published Date: Oct 18, 2016
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.
Tags : 
ibm, idc, big data, data, analytics, information governance, knowledge management, enterprise applications, data management, data center
    
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.
Tags : 
big data, analytics, unstructured content, enterprise information, ibm, security, it management, knowledge management, storage, data management
    
IBM
Published By: TeraCloud     Published Date: Dec 11, 2007
Storage spawns where it is needed. This leaves IT to manage many islands of storage devices scattered across the enterprise. Compliance requirements, multimedia-rich applications, unstructured content and a proliferation of databases are pushing IT departments to increase the size and complexity of their storage networks. All of this is occurring at a time when the need for centralized storage management has never been greater.
Tags : 
storage, storage management, infrastructure, compliance, tsa, teracloud, teracloud storage analytics, san, storage area networks
    
TeraCloud
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