data governance

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Published By: Hitachi Vantara     Published Date: Aug 14, 2018
In this book, we are going to look at the key trends driving the modernization of data infrastructure. We’ll see how organizations are adapting and flourishing in a data-driven world. For some time, headlines have been around the internet of things (IoT), big data and data analytics. While these developments are important, the reality is that you cannot take full advantage of them without modernization. We’re going to look at these trends and priorities in detail, then look at the three key drivers of modernization: governance, mobilization and analytics. We’ll also consider the technologies that make up modern data infrastructure including artificial intelligence (AI), flash storage, converged and hyperconverged platforms and software-defined infrastructures. By making sense of data, we make sense of the world. With more data than ever before, we have the tools to turn all that information into intelligent innovation and change the way the world works.
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data infrastructure, big data, internet of things
    
Hitachi Vantara
Published By: Mimecast     Published Date: Oct 11, 2018
Information management is getting harder. Organizations face increasing data volumes, more stringent legal and regulatory record-keeping requirements, stricter privacy rules, increasing threat of breaches and decreasing employee productivity. Companies are also finding that their old-fashioned, legacy archive strategies are increasingly ineffective. This is driving many organizations to rethink their approach, developing more modern Information Governance strategies.
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Mimecast
Published By: Mimecast     Published Date: Oct 11, 2018
Information management is getting harder. Organizations face increasing data volumes, more stringent legal and regulatory record-keeping requirements, stricter privacy rules, increasing threat of breaches and decreasing employee productivity. Companies are also finding that their old-fashioned, legacy archive strategies are increasingly ineffective. This is driving many organizations to rethink their approach, developing more modern Information Governance strategies.
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Mimecast
Published By: Group M_IBM Q4'18     Published Date: Oct 15, 2018
The enterprise data warehouse (EDW) has been at the cornerstone of enterprise data strategies for over 20 years. EDW systems have traditionally been built on relatively costly hardware infrastructures. But ever-growing data volume and increasingly complex processing have raised the cost of EDW software and hardware licenses while impacting the performance needed for analytic insights. Organizations can now use EDW offloading and optimization techniques to reduce costs of storing, processing and analyzing large volumes of data. Getting data governance right is critical to your business success. That means ensuring your data is clean, of excellent quality, and of verifiable lineage. Such governance principles can be applied in Hadoop-like environments. Hadoop is designed to store, process and analyze large volumes of data at significantly lower cost than a data warehouse. But to get the return on investment, you must infuse data governance processes as part of offloading.
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Group M_IBM Q4'18
Published By: SAS     Published Date: Sep 19, 2018
We are offering this second edition resource as a business oriented, working guide to core data management practices. In this ebook you will find easy to digest resources on the value and importance of data preparation, data governance, data integration, data quality, data federation, streaming data, and master data management.
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SAS
Published By: Hitachi Vantara     Published Date: Aug 02, 2018
In this book, we are going to look at the key trends driving the modernization of data infrastructure. We’ll see how organizations are adapting and flourishing in a data-driven world. For some time, headlines have been around the internet of things (IoT), big data and data analytics. While these developments are important, the reality is that you cannot take full advantage of them without modernization. We’re going to look at these trends and priorities in detail, then look at the three key drivers of modernization: governance, mobilization and analytics. We’ll also consider the technologies that make up modern data infrastructure including artificial intelligence (AI), flash storage, converged and hyperconverged platforms and software-defined infrastructures. By making sense of data, we make sense of the world. With more data than ever before, we have the tools to turn all that information into intelligent innovation and change the way the world works.
Tags : 
data infrastructure, big data, internet of things
    
Hitachi Vantara
Published By: SAS     Published Date: Aug 28, 2018
With the amount of information in the digital universe doubling every two years, big data governance issues will continue to inflate. This backdrop calls for organizations to ramp up efforts to establish a broad data governance program that formulates, monitors and enforces policies related to big data. Find out how a comprehensive platform from SAS supports multiple facets of big data governance, management and analytics in this white paper by Sunil Soares of Information Asset.
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SAS
Published By: SAS     Published Date: Aug 28, 2018
Starting data governance initiatives can seem a bit daunting. You’re establishing strategies and policies for data assets. And, you’re committing the organization to treat data as a corporate asset, on par with its buildings, its supply chain, its employees or its intellectual property. However, as Jill Dyché and Evan Levy have noted, data governance is a combination of strategy and execution. It’s an approach that requires one to be both holistic and pragmatic: • Holistic. All aspects of data usage and maintenance are taken into account in establishing the vision. • Pragmatic. Political challenges and cross-departmental struggles are part of the equation. So, the tactical deployment must be delivered in phases to provide quick “wins” and avert organizational fatigue from a larger, more monolithic exercise. To accomplish this, data governance must touch all internal and external IT systems and establish decision-making mechanisms that transcend organizational silos. And, it must provi
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SAS
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, mmdm, material
    
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, mmdm, material
    
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, odm, mmdm, material
    
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, mmdm, material, tpm
    
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, odm, mmdm, material
    
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, odm, mmdm, material
    
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, odm, mmdm, material
    
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, mdm, master data management, odm, mmdm, material
    
Zynapse
Published By: Hewlett Packard Enterprise     Published Date: May 11, 2018
Digital transformation (DX) is a must for midsize firms (those with 100 to 999 employees) to thrive in the digital economy. DX enables firms to increase competitive advantage through initiatives such as automating business processes, creating greater operational efficiencies, building deeper customer relationships, and creating new revenue streams based on technology-enabled products and services. DX is a journey, and it starts with firms embracing an IT-centric vision that guides a data-driven, analytics-first strategy. The outcome of DX initiatives depends on the ability of a firm to efficiently leverage people (talent), process, platforms, and governance to meet the firm’s business objectives.
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Hewlett Packard Enterprise
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, journaling, email retention, it management, business technology, data visualization
    
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, end user recovery, control governance, networking, security, it management, enterprise applications, data management
    
Commvault
Published By: SAS     Published Date: Jan 17, 2018
Executives, managers and information workers have all come to respect the role that data management plays in the success of their organizations. But organizations don’t always do a good job of communicating and encouraging better ways of managing information. In this e-book you will find easy to digest resources on the value and importance of data preparation, data governance, data integration, data quality, data federation, streaming data, and master data management.
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SAS
Published By: SAS     Published Date: Jan 17, 2018
For organizations to succeed with the onslaught of devices, sensors and tools that innovation garners, data must no longer be treated as a byproduct but instead as an asset. And data-driven innovation must start at the top. That's what Michael Schrage, Fellow at MIT Sloan School's Initiative on the Digital Economy, said during the Harvard Business Review webinar, Leadership and Big Data Innovation. Find out why data experimentation, governance and culture are part of the next leadership challenge for organizations.
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SAS
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