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information governance

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Published By: ARMA     Published Date: Nov 04, 2014
The relationship between an organization's information-handling practices and the impact those practices have on its ability to respond to electronic discovery is recognized in the Electronic Discovery Reference Model (EDRM). But the EDRM falls short of describing standards or best practices that can be applied to the complex issues surrounding the creation, management, and governance of electronic information. ARMA International's Generally Accepted Record-keeping Principles and its information Governance Maturity Model are designed specifically to provide a scalable, broadly applicable framework to address these issues.
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information-handling practices, edrm, electronic discovery, maturity model
    
ARMA
Published By: Intralinks     Published Date: Mar 12, 2014
The implications of data loss are significant. Organizations that ignore the law affecting collaboration and information sharing are at serious risk of litigation, fines and brand damage. The paradigm shift from organizationally-defined to user-defined information governance is making it that much more difficult to maintain control of business activity and data. This informative white paper by legal firm Field Fisher Waterhouse evaluates the legal risks of uncontrolled collaboration and information sharing and what to do about them, while providing in-depth insights into: • Landmark incidents that have influenced data protection laws • How to navigate different jurisdictional privacy frameworks • Top 4 types of legal risk to protect against • Top 5 recommendations for implementing good governance
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data security, compliance, technology, network security, regulatory compliance
    
Intralinks
Published By: Intralinks     Published Date: Mar 12, 2014
In this 6-page white paper, discover the benefits of how the right inter-enterprise collaboration tool can ensure secure document sharing and team collaboration, and what to keep in mind as you look for a provider.
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compromised information, sharing, corporate documents, security, governance, network security
    
Intralinks
Published By: Actiance, Inc.     Published Date: Nov 13, 2014
The overall archiving market was $1.76 billion in 2013 and is expected to grow at an 11.4% compound annual growth rate (CAGR) through 2019. EIA is emerging as a commonly used technology underpinning for higher-level use cases supporting compliance, information governance, e-discovery and historical preservation of data. Read the report now and learn more!
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actiance, gartner, magic quadrant, enterprise information archiving, cagr, eia, compliance, e-discovery
    
Actiance, Inc.
Published By: SAP     Published Date: Jul 07, 2009
How do you know what to do to protect your current business and identify areas of future growth? How do you balance opportunity with risk? This paper helps answer those essential questions.
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sap, crm, supply chain management, enterprise resource planning, erp, business intelligence, information management, enterprise performance management, governance, risk compliance, voice of the customer, voc, ema, decentralization
    
SAP
Published By: SAP     Published Date: Jan 19, 2010
Your information can be one of your greatest assets - helping you stay on top of regulatory requirements, close to customers, and ahead of the competition. Organizations that pay attention to their data will be the ones to survive and thrive. So how do you obtain a complete view of your information when it is scattered across silos? Or integrate data from structured and unstructured data sources? Or help reduce the risk of inaccurate reporting? And how do you manage your information more effectively to help keep costs from spiraling out of control?
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sap, eim, enterprise information management, erp, crm, etl
    
SAP
Published By: SAP     Published Date: Mar 24, 2011
The list of initiatives that are data-enabled-indeed, data-intensive-vary from company to company, from industry to industry. But the common denominator is an increasing awareness that these and other programs can't succeed without clean, meaningful, and available information. In this white paper, Baseline Consulting's Jill Dyché discusses how the data conversation is changing from philosophical questioning to hard-core tactics, from "What do we need?" to "Where do we start?" It covers the most common reasons for data governance failure, as well as the components of data governance that will inform the right strategy and give companies a means of determining where and how to begin their data governance journeys.
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data governance, data governance failure, data governance initiative
    
SAP
Published By: SAP     Published Date: Apr 14, 2011
The recent wave of new business analytics tools, solutions, and capabilities marks a true revolution in BI. In this SAPinsider Special Report on Business Intelligence, SAP Executive Vice President Sanjay Poonen lends his insights on the market drivers for this BI revolution, and explains what it all means for SAP customers. The article also features SAP ecosystem partners highlighting how SAP customers can unleash the power of information to truly innovate their business.
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business intelligence, business analytic tools, sanjay poonen, information management, enterprise performance management, governance, manufacturing intelligence, sap, performance
    
SAP
Published By: Information Shield     Published Date: Jan 13, 2009
Information security policy development should not be a one-time event. In order to effectively reduce risk and maintain a proper governance structure, organizations must periodically update written security policies as part of an ongoing management process.
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information shield, legal exposure, iso/iec, security policies, security framework, hipaa, sarbanes-oxley act, iso 17799, iso 27002, security policy, sample security policy, policies and procedures, pci-dss, regulatory compliance
    
Information Shield
Published By: K2     Published Date: Jan 07, 2016
We’re experiencing a data explosion. By 2020 the data we create and copy annually will reach 44 trillion gigabytes.1 As this data disseminates into the workplace, companies add hardware and software systems to store, protect and manage it all. While data can help solve business problems, data is most helpful when it reaches those who can use it. Companies need to build Microsoft SharePoint apps that integrate with other line-of-business (LOB) systems so users can take full advantage of this data explosion. But the reality of creating apps that integrate data across organizational systems presents an intimidating challenge. To integrate multiple isolated data sources into an application that transforms data into useful information requires technical expertise, coding and ongoing maintenance. Integration also raises security and governance concerns. So it’s no surprise that only 47 percent of SharePoint users have connected their SharePoint apps with other systems.2 As a result, nearly
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microsoft sharepoint, data integration, security, sharepoint solutions
    
K2
Published By: IBM     Published Date: May 28, 2014
Different types of data have different data retention requirements. In establishing information governance and database archiving policies, take a holistic approach by understanding where the data exists, classifying the data, and archiving the data. IBM InfoSphere Optim™ Archive solution can help enterprises manage and support data retention policies by archiving historical data and storing that data in its original business context, all while controlling growing data volumes and improving application performance. This approach helps support long-term data retention by archiving data in a way that allows it to be accessed independently of the original application.
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ibm, data retention, information governance, archiving, historical data, 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
    
IBM
Published By: IBM     Published Date: May 12, 2015
Watch this video whitepaper to learn about data economics, information governance, and specific IBM solutions for governing the information lifecycle.
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ibm
    
IBM
Published By: IBM     Published Date: Aug 05, 2014
There is a lot of discussion in the press about Big Data. Big Data is traditionally defined in terms of the three V’s of Volume, Velocity, and Variety. In other words, Big Data is often characterized as high-volume, streaming, and including semi-structured and unstructured formats. Healthcare organizations have produced enormous volumes of unstructured data, such as the notes by physicians and nurses in electronic medical records (EMRs). In addition, healthcare organizations produce streaming data, such as from patient monitoring devices. Now, thanks to emerging technologies such as Hadoop and streams, healthcare organizations are in a position to harness this Big Data to reduce costs and improve patient outcomes. However, this Big Data has profound implications from an Information Governance perspective. In this white paper, we discuss Big Data Governance from the standpoint of three case studies.
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ibm, data, big data, information, healthcare, governance, technology
    
IBM
Published By: IBM     Published Date: Aug 28, 2014
Data volumes are getting out of control, but choosing the right information lifecycle governance solution can be a huge challenge, with multiple stakeholders, numerous business processes, and extensive solution requirements. Use this requirements kit from the Compliance, Governance and Oversight Council (CGOC) to find the tools and technology you need.
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ilg, data volumes, cgoc, information economics
    
IBM
Published By: IBM     Published Date: Aug 28, 2014
The Editor interviews Deidre Paknad, Vice President of IBM’s Information Lifecycle Governance (ILG) Solutions Business, former CEO of PSS Systems, and founder of the Compliance, Governance and Oversight Council (CGOC).
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information economics, ilg, data disposal, e-discovery
    
IBM
Published By: IBM     Published Date: Aug 28, 2014
Not storing data is cheaper than storing it. As enterprise data continues to grow and IT budgets remain flat, organizations need to more effectively maximize existing storage capacity and manage storage spend based on data value. In this white paper, Enterprise Strategy Group Sr. Analyst Mark Peters demonstrates how IBM's Information Lifecycle Governance solutions can help IT buyers improve the information economics for their organizations by curtailing data growth through defensible disposal of data.
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data storage, data value, ilg, data disposal
    
IBM
Published By: IBM     Published Date: Oct 22, 2014
Not storing data is cheaper than storing it. As enterprise data continues to grow and IT budgets remain flat, organizations need to more effectively maximize existing storage capacity and manage storage spend based on data value. In this white paper, Enterprise Strategy Group Sr. Analyst Mark Peters demonstrates how IBM's Information Lifecycle Governance solutions can help IT buyers improve the information economics for their organizations by curtailing data growth through defensible disposal of data.
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data storage, big data, data disposal, data value
    
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.
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big data, ibm, big data outcomes, information governance, big data analytics
    
IBM
Published By: IBM     Published Date: Feb 24, 2015
This paper asks the key questions that IT, legal, records, compliance officers and corporate managers should consider when contemplating an information lifecycle governance solution, and why these elements are critical in addressing e-discovery challenges.
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ibm, lifecycle governance, e-discovery, e-discovery challenges, ilg solutions
    
IBM
Published By: IBM     Published Date: Jul 14, 2015
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, data warehouse, data center, information governance, analytics, big data analytics, business management
    
IBM
Published By: IBM     Published Date: Jul 14, 2015
Pushing the start button on information governance.
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data warehouse, bad data, big data, mobility, compute-intensive apps, virtualization, cloud computing, scalable infrastructure, reliability
    
IBM
Published By: IBM     Published Date: Jan 14, 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.
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ibm, biginsights, bigintegrate, bigquality, data, ecosystem, governance, integration
    
IBM
Published By: IBM     Published Date: Jan 14, 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.
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ibm, biginsights, bigintegrate, bigquality, data, ecosystem, governance, integration
    
IBM
Published 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."
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ibm, big data, ibm infosphere, ibm biginsights, ibm bigintegrate, ibm bigquality, data management, data quality, data integration
    
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
    
IBM
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