information governance

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Published By: IBM     Published Date: Sep 21, 2011
This book provides a practical set of detailed steps to implement an Information Governance program, as well as the associated automation.
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IBM
Published By: IBM     Published Date: Sep 22, 2011
Companies need capabilities for identifying data assets and relationships, assessing data growth and implementing tiered storage strategies-capabilities that information governance can provide. It is important to classify enterprise data, understand data relationships and define service levels. Database archiving has proven effective in managing continued application data growth especially when it is combined with data discovery.
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ibm, application data, technology, enterprise, database archive
    
IBM
Published By: IBM     Published Date: Nov 09, 2012
This IT Manager's Journal takes a close look at information governance and optimization as a requisite element for success in almost any information management project - as well as delivering an efficient IT infrastructure.
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ibm, system z, system monitor, it organization, data governance, data governance solution, it management, business technology
    
IBM
Published By: IBM     Published Date: Nov 09, 2012
Many organizations today are introducing additional controls and accountability into management practices to improve governance and mitigate against risk. Read this white paper to learn more about Information governance and auditing with System Z.
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ibm, system z, information governance audit, protection, data protection, business technology
    
IBM
Published By: IBM     Published Date: Jan 09, 2013
IBM’s security controls provide privacy and controlled authorization to sensitive information while enabling business operations. SC4SB protects our customers' information through governance, tools, technology, techniques, and personnel.
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smartcloud, ibm, social business security, ibm smartcloud, security, it management, data management, business technology, data center
    
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: 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: Jun 20, 2014
Data volumes are getting out of control, but choosing the right ILG solution can be a huge challenge, with multiple stakeholders, numerous business processes, and extensive solution requirements. Use this requirements kit from CGOC to find the tools and technology you need.
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ibm, ilg, information lifecycle governance, information management, ilg solutions, data storage, data management, it management
    
IBM
Published By: IBM     Published Date: Jun 20, 2014
Read this report from the Compliance, Governance and Oversight Council (CGOC) to learn how to reduce costs and increase performance by disposing digital debris.
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ibm, information management, compliance, governance, cgoc, digital debris, cost reduction, information governance, it management, storage
    
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, it management, data management
    
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, it management, business technology
    
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, data management
    
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, it management, data management
    
IBM
Published By: IBM     Published Date: Nov 19, 2014
According to a recent survey by the Compliance, Governance and Oversight Council, almost 70% of the electronic content and information organizations retain has no business or legal value. It’s simply digital detritus, retained because 1) we think we might need it sometime, 2) we forget about it, or 3) we don’t have policies and software in place to get rid of it. Ultimately, though, this unnecessary accumulation of content can create real problems in terms of e-discovery, regulation, management and cost. Watch this video white paper to learn more about: - How to get started on an information management strategy - The right combination of software and policy for successful information governance - The business case for proactive management of an organization’s digital footprint
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compliance, governance, oversight, digital debris, data cleanup, legacy data cleanup, information management, information management strategy, information governance
    
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, it management, data management, data center
    
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, it management, knowledge management, data management
    
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, security, it management, knowledge management, storage, data management
    
IBM
Published By: IBM     Published Date: Apr 06, 2015
With a data explosion upon us that shows no slowing in sight, information governance is no longer an option for corporations. IBM StoredIQ is an important first step toward getting data under control, lowering storage costs and mitigating risk.
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information governance, ibm storediq, risk, storage, data management, security, it management, knowledge management
    
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: Jul 07, 2015
Learn about information integration and governance for data warehousing and big data and analytics.
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data warehouse, bad data, big data, mobility, compute-intensive apps, virtualization, cloud computing, scalable infrastructure, reliability, data management, data center
    
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, data management
    
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, enterprise applications, data management, business technology
    
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, enterprise applications, data management, business technology
    
IBM
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