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data governance

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Published By: Group M_IBM Q1'18     Published Date: Jan 04, 2018
As organizations seek to extract more strategic value from their data, many are starting to view data governance as an enabler of insight rather than an impediment to its creation. This report explores a leading approach to data governance and the impact it can have on today’s most data-rich organizations.
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data governance, data-rich organizations
    
Group M_IBM Q1'18
Published By: Group M_IBM Q1'18     Published Date: Jan 04, 2018
For data-driven businesses, cloud can be a boon. Data can be found, processed and managed on the cloud without an investment in local hardware infrastructure, but what does that mean to information trust and governance? When data comes from cloud-based sources, IT needs a plan for data integration and security. Download this insightful white paper and learn the four key priorities you must consider when developing your IT strategy to promote good hybrid information governance. Learn the blend of process, organizational and technical enablers that will allow you to move to a hybrid environment with speed and confidence.
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data-driven business, cloud, information trust, information governance, data integration, data security, it strategy
    
Group M_IBM Q1'18
Published By: Group M_IBM Q1'18     Published Date: Dec 20, 2017
Despite the business-transforming upsides of data from the Internet of things (IoT), there’s a downside: security. Porous networks and lax users offer tantalizing access for hackers. Although most security spending is at the enterprise level, a shift is needed to secure IoT applications and provide improved governance and accountability. Electronics companies must create secure environments that safely collect, consume, share and store data on their networks. But they also must go beyond devices and consumers to close holes to factory, ecosystem and partner networks.
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planet scale security, iot, security, iot application, application security, partner networks
    
Group M_IBM Q1'18
Published By: Zynapse     Published Date: Jun 16, 2010
Data Governance has emerged as the point of convergence for people, technology and process in order to manage the crucial data (information) of an enterprise. This is a vital link in the overall ongoing data management process for it maintains the quality of data and makes it available to a wide range of decision making hierarchy across an organization
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zynapse, erp projects, data information, data management, governance, mdm, master data management, odm
    
Zynapse
Published By: Zynapse     Published Date: Sep 10, 2010
A whitepaper by Ventana Research discusses the need to combine business and technology in a unified approach for MDM implementations in diverse areas.
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zynapse, erp projects, data information, data management, governance, mdm, master data management, odm
    
Zynapse
Published By: Zynapse     Published Date: Sep 10, 2010
A whitepaper by Ventana Research describing the role and importance of partnerships between business and IT in MDM strategy
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zynapse, erp projects, data information, data management, governance, mdm, master data management, odm
    
Zynapse
Published By: Zynapse     Published Date: Sep 10, 2010
A 14-page whitepaper on how to achieve lower material costs and optimized inventory using Material Master Data Management
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zynapse, erp projects, data information, data management, governance, mdm, master data management, odm
    
Zynapse
Published By: Zynapse     Published Date: Sep 10, 2010
A 26-page information rich whitepaper on the business benefits, challenges and best practices of Material Master Data Management
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zynapse, erp projects, data information, data management, governance, mdm, master data management, odm
    
Zynapse
Published By: Zynapse     Published Date: Sep 10, 2010
UNSPSC enables preference item management, better spend analysis, supply standardization and information control. Whether you are deliberating on the need for a common product and classification standard for your company, or are an advanced UNSPSC adopter, we hope that "Adopting UNSPSC" will answer some of your questions and perhaps help you in some way to improve your purchasing and supply management processes.
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zynapse, erp projects, unspsc, data information, data management, governance, mdm, master data management
    
Zynapse
Published By: Zynapse     Published Date: Sep 10, 2010
A step-by-step guide to create the right business case for all your Master Data Requirements.
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zynapse, erp projects, data information, data management, governance, mdm, master data management, odm
    
Zynapse
Published By: Zynapse     Published Date: Aug 17, 2010
An exclusive success story of a Fortune 200 enterprise. Learn how the master data management initiative delivered: . A unified view of the master data across the enterprise . Accelerated ROI realization from massive ERP investments . Inventory optimization by duplicate identification . Improved operational and process efficiencies
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zynapse, erp projects, unspsc, data information, data management, governance, mdm, master data management
    
Zynapse
Published By: Zynapse     Published Date: Nov 01, 2010
The 4-undying reasons to take care of during an ERP Data Migration.
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zynapse, erp projects, unspsc, data information, data management, governance, mdm, master data management
    
Zynapse
Published By: Zynapse     Published Date: Nov 08, 2010
A worldwide leader inSpend Management Software solutions: Zycus. Recognized as one of the Top 3 Global Market Leadersin Spend Management Domain by leading analysts and Industry observers
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zynapse, erp projects, unspsc, data information, data management, governance, mdm, master data management
    
Zynapse
Published By: Zynapse     Published Date: Feb 02, 2011
A worldwide leader in Spend Management Software solutions: Zycus. Recognized as one of the Top 3 Global Market Leaders in Spend Management Domain by leading analysts and Industry observers
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zynapse, erp projects, unspsc, data information, procurement, information management, data management, governance
    
Zynapse
Published By: Commvault     Published Date: Jul 06, 2016
The data growth explosion facing most organizations today is coinciding with the mounting demands of stagnant IT budgets and an increased need to retain data for both governance and resiliency needs. At its core, data must not only be retained but also efficiently accessed and analyzed to unlock its embedded value.
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commvault, data growth, governance, email archiving, mailbox archiving, notes, exchange, o365
    
Commvault
Published By: Commvault     Published Date: Jul 06, 2016
How do you maintain the security and confidentiality of your organization’s data in a world in which your employees, contractors and partners are now working, file sharing and collaborating on a growing number of mobile devices? Makes you long for the day when data could be kept behind firewalls and employees were, more or less, working on standardized equipment. Now, people literally work on the edge, using various devices and sending often unprotected data to the cloud. This dramatic shift to this diversified way of working has made secure backup, recovery and sharing of data an exponentially more difficult problem to solve. The best approach is to start with a complete solution that can intelligently protect, manage and access data and information across users, heterogeneous devices and infrastructure from a single console - one that can efficiently manage your data for today's mobile environment and that applies rigorous security standards to this function.
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commvault, mobile data, file sharing, backup recovery, access, personal cloud approach, data protection, endpoint
    
Commvault
Published By: Pentaho     Published Date: Nov 04, 2015
Amid unprecedented data growth, how are businesses optimizing their data environments to ensure data governance while creating analytic value? How do they ensure the delivery of trusted and governed data as they integrate data from a variety of sources? If providing appropriately governed data across all your data sources is a concern, or if the delivery of consistent, accurate, and trusted analytic insights with the best blended data is important to you, then don’t miss “Delivering Governed Data For Analytics At Scale,” an August 2015 commissioned study conducted by Forrester Consulting on behalf of Pentaho.
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pentaho, analytics, platforms, big data, predictive analytics, data management, networking, data center
    
Pentaho
Published By: Red Hat Government     Published Date: Jul 21, 2011
Organizations around the world are benefiting from public clouds. But, when production applications or critical data is involved, it's important to extend on-premise governance to your public or hybrid cloud resources. Effective cloud governance is possible.
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cloud governance, governance, cloud computing, interoperability, red hat, open source, idc, enterprise linux
    
Red Hat Government
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: Oracle Analytics     Published Date: Oct 06, 2017
Empowered with mobile and cloud-based access to a myriad of products and services, customers now have a variety of options at their fingertips with regards to partnerships. Enterprises that do not follow the ever-changing tastes and preferences of their customers, or that wait too long to react, will fall behind and fail. Across functions, business professionals readily require big data tools and insights to understand and serve these customers. It is no longer an option for business users to rely on IT to deliver customer and other relevant analytics. On the flipside, handing the analytics reins entirely to business users can make governance nearly impossible. Organizations must find balance in a new approach in which IT mostly governs and curates data while business users are empowered to derive insights from data mostly ontheir own without delay.
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Oracle Analytics
Published By: Oracle Analytics     Published Date: Oct 10, 2017
How are organizations balancing self-service analytics and data governance today? What are the trends for tomorrow? Many organizations are on their way to achieving self-service analytics maturity through the use of intuitive data visualization technologies aimed at non-technical users; as well as various tactics that reduce reliance on IT. But handing the analytics reins entirely to business users can make governance nearly impossible. As a result, organizations are increasing investments in modern analytics platforms that enable a balance between IT governing and curating data, empowering business users to derive insights from data mostly on their own and without delay. Join guest speaker, Forrester Research VP and Principal Analyst, Boris Evelson and Oracle Analytics Senior Group Director, Jose Villacis as they discuss insights from an Oracle-commissioned study of North American enterprise analytics leaders.
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Oracle Analytics
Published By: Oracle Analytics     Published Date: Oct 10, 2017
How are organizations balancing self-service analytics and data governance today? What are the trends for tomorrow? Many organizations are on their way to achieving self-service analytics maturity through the use of intuitive data visualization technologies aimed at non-technical users; as well as various tactics that reduce reliance on IT. But handing the analytics reins entirely to business users can make governance nearly impossible. As a result, organizations are increasing investments in modern analytics platforms that enable a balance between IT governing and curating data, empowering business users to derive insights from data mostly on their own and without delay.
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Oracle Analytics
Published By: IBM     Published Date: Jul 26, 2017
Business leaders are eager to harness the power of big data. However, as the opportunity increases, ensuring that source information is trustworthy and protected becomes exponentially more difficult. If not addressed directly, end users may lose confidence in the insights generated from their data—which can result in a failure to act on opportunities or against threats. Information integration and governance must be implemented within big data applications, providing appropriate governance and rapid integration from the start. By automating information integration and governance and employing it at the point of data creation, organizations can boost confidence in big data. A solid information integration and governance program must become a natural part of big data projects, supporting automated discovery, profiling and understanding of diverse data sets to provide context and enable employees to make informed decisions. It must be agile to accommodate a wide variety of data and seamle
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mdm, big data, automation, organization
    
IBM
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