enterprise governance

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Published By: TopQuadrant     Published Date: Jun 11, 2018
Data governance is a lifecycle-centric asset management activity. To understand and realize the value of data assets, it is necessary to capture information about them (their metadata) in the connected way. Capturing the meaning and context of diverse enterprise data in connection to all assets in the enterprise ecosystem is foundational to effective data governance. Therefore, a data governance environment must represent assets and their role in the enterprise using an open, extensible and “smart” approach. Knowledge graphs are the most viable and powerful way to do this. This short paper outlines how knowledge graphs are flexible, evolvable, semantic and intelligent. It is these characteristics that enable them to: • capture the description of data as an interconnected set of information that meaningfully bridges enterprise metadata silos. • deliver integrated data governance by addressing all three aspects of data governance — Executive Governance, Representative Governance, and App
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TopQuadrant
Published By: Bitwise     Published Date: Apr 30, 2018
Organizations that adopt an enterprise data lake model for real-time, self-service and advanced analytics require a fresh approach and outlook to develop a Data Governance strategy as Hadoop changes the way that organizations ingest and store data, as well as how business partners access and use data. This paper outlines pillars for Hadoop Data Governance and Security that provide a framework that can be applied to any company.
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Bitwise
Published By: DATAVERSITY     Published Date: Jul 06, 2015
The growth of NoSQL data storage solutions have revolutionized the way enterprises are dealing with their data. The older, relational platforms are still being utilized by most organizations, while the implementation of varying NoSQL platforms including Key-Value, Wide Column, Document, Graph, and Hybrid data stores are increasing at faster rates than ever seen before. Such implementations are causing enterprises to revise their Data Management procedures across-the-board from governance to analytics, metadata management to software development, data modeling to regulation and compliance. The time-honored techniques for data modeling are being rewritten, reworked, and modified in a multitude of different ways, often wholly dependent on the NoSQL platform under development. The research report analyzes a 2015 DATAVERSITY® survey titled “Modeling NoSQL.” The survey examined a number of crucial issues within the NoSQL world today, with focus on data modeling in particular.
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DATAVERSITY
Published By: TopQuadrant     Published Date: Mar 21, 2015
Data management is becoming more and more central to the business model of enterprises. The time when data was looked at as little more than the byproduct of automation is long gone, and today we see enterprises vigorously engaged in trying to unlock maximum value from their data, even to the extent of directly monetizing it. Yet, many of these efforts are hampered by immature data governance and management practices stemming from a legacy that did not pay much attention to data. Part of this problem is a failure to understand that there are different types of data, and each type of data has its own special characteristics, challenges and concerns. Reference data is a special type of data. It is essentially codes whose basic job is to turn other data into meaningful business information and to provide an informational context for the wider world in which the enterprise functions. This paper discusses the challenges associated with implementing a reference data management solution and the essential components of any vision for the governance and management of reference data. It covers the following topics in some detail: · What is reference data? · Why is reference data management important? · What are the challenges of reference data management? · What are some best practices for the governance and management of reference data? · What capabilities should you look for in a reference data solution?
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data management, data, reference data, reference data management, top quadrant, malcolm chisholm
    
TopQuadrant
Published By: CA Technologies     Published Date: Dec 03, 2015
This 2nd paper in a 3-part series by David Loshin explores some challenges in bootstrapping a data governance program, and then considers key methods for using metadata to establish the starting point for data governance. The paper will focus on how metadata management facilitates progress along three facets of the data governance program including assessment, collaboration and operationalization.
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CA Technologies
Published By: Cambridge Semantics     Published Date: Mar 13, 2015
As the quantity and diversity of relevant data grows within and outside the enterprise, how can IT easily deploy secure governed solutions that allow business users to identify, extract, link together and derive value from the right data at the right time, at big data scale, while keeping up with ever changing business needs? Smart Enterprise Data Management (Smart EDM) is new, sensible paradigm for managing enterprise data. Anzo Smart Data solutions allow IT departments and their business users to quickly and flexibly access all of their diverse data. Based upon graph data models and Semantic data standards, Anzo enables users to easily perform advanced data management and analytics through the lens of their business at a fraction of the time and cost of traditional approaches, while adhering to the governance and security required by enterprise IT groups. Download this whitepaper to learn more.
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enterprise data management, data governance, data integration, cambridge semantics
    
Cambridge Semantics
Published By: Cambridge Semantics     Published Date: Aug 17, 2015
As the quantity and diversity of relevant data grows within and outside of the enterprise, business users and IT are struggling to extract maximum value from this data. Current approaches, including the rigid relational data warehouse and the unwieldy Hadoop-only Data Lake, are limited in their ability to provide users and IT with the answers they need with the proper governance and security required. Read this whitepaper to learn how The Anzo Smart Data Lake from Cambridge Semantics solves these problems by disrupting the way IT and business alike manage and analyze data at enterprise scale with unprecedented flexibility, insight and speed.
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Cambridge Semantics
Published By: AnalytixDS     Published Date: Feb 28, 2015
With future business intelligence solutions clearly evolving from data that comes from highly efficient and well behaved systems, to data that comes from the extended enterprise where data is not necessarily so well structured and behaved - Organizations are forced into a more collaborative mode of operation with their core infrastructure being adapted from the consumer space, and to the extent possible, conformed to their existing repositories. This whitepaper attempts to address various challenges consumers face while managing enormous data sets within the context of this complex scenario. Further, we’ll try to answer the question: Is Big Data Governance really that different from traditional data governance initiatives? Finally, we’ll see how AnalytiX™ Mapping Manager™ can help organizations accelerate the development and deployment of a successful Big Data/ Business Intelligence platform and accelerate delivery of all sorts of data – structured, semi-structured as well as unstruc
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big data, big data governance, data governance, analytixds
    
AnalytixDS
Published By: Semarchy     Published Date: Feb 12, 2018
This whitepaper covers a recently completed a ground-breaking industry wide survey of executives, architects, and business stakeholders from data-driven organizations by Enterprise Management Research in order to explore the growing role of the CDO, and to explore the various data management maturity levels of enterprise companies. This whitepaper explains how industry visionaries use data as an asset, and discusses the growing importance of data governance leadership. Additionally, it creates a data management maturity index to show how various companies match-up in their data management vision and capabilities. Finally, the whitepaper covers the top data-focused applications used and their average implementation timelines.
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Semarchy
Published By: DATAVERSITY     Published Date: Jun 14, 2013
This report analyzes many challenges faced when beginning a new Data Governance program, and outlines many crucial elements in successfully executing such a program. “Data Governance” is a term fraught with nuance, misunderstanding, myriad opinions, and fear. It is often enough to keep Data Stewards and senior executives awake late into the night. The modern enterprise needs reliable and sustainable control over its technological systems, business processes, and data assets. Such control is tantamount to competitive success in an ever-changing marketplace driven by the exponential growth of data, mobile computing, social networking, the need for real-time analytics and reporting mechanisms, and increasing regulatory compliance requirements. Data Governance can enhance and buttress (or resuscitate, if needed) the strategic and tactical business drivers every enterprise needs for market success. This paper is sponsored by: ASG, DGPO and DebTech International.
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data, data management, data governance, data steward, dataversity, research paper
    
DATAVERSITY
Published By: DATAVERSITY     Published Date: Jun 17, 2013
This report analyzes many challenges faced when beginning a new Data Governance program, and outlines many crucial elements in successfully executing such a program. “Data Governance” is a term fraught with nuance, misunderstanding, myriad opinions, and fear. It is often enough to keep Data Stewards and senior executives awake late into the night. The modern enterprise needs reliable and sustainable control over its technological systems, business processes, and data assets. Such control is tantamount to competitive success in an ever-changing marketplace driven by the exponential growth of data, mobile computing, social networking, the need for real-time analytics and reporting mechanisms, and increasing regulatory compliance requirements. Data Governance can enhance and buttress (or resuscitate,if needed) the strategic and tactical business drivers every enterprise needs for market success.
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research paper, data, data management, data governance, data steward
    
DATAVERSITY
Published By: Ted Hills     Published Date: Mar 29, 2016
NoSQL database management systems give us the opportunity to store our data according to more than one data storage model, but our entity-relationship data modeling notations are stuck in SQL land. Is there any need to model schema-less databases, and is it even possible? In this short white paper, Ted Hills examines these questions in light of a recent paper from MarkLogic on the hybrid data model. Ted Hills has been active in the Information Technology industry since 1975. At LexisNexis, Ted co-leads the work of establishing enterprise data architecture standards and governance processes, working with data models and business and data definitions for both structured and unstructured data. His book, NoSQL and SQL Data Modeling, was recently released by Technics Publications (http://technicspub.com).
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Ted Hills
Published By: IBM     Published Date: Jul 09, 2018
As the information age matures, data has become the most powerful resource enterprises have at their disposal. Businesses have embraced digital transformation, often staking their reputations on insights extracted from collected data. While decision-makers hone in on hot topics like AI and the potential of data to drive businesses into the future, many underestimate the pitfalls of poor data governance. If business decision-makers can’t trust the data within their organization, how can stakeholders and customers know they are in good hands? Information that is not correctly distributed, or abandoned within an IT silo, can prove harmful to the integrity of business decisions. In search of instant analytical insights, businesses often prioritize data access and analysis over governance and quality. However, without ensuring the data is trustworthy, complete and consistent, leaders cannot be confident their decisions are rooted in facts and reality
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IBM
Published By: Workday UK     Published Date: Mar 07, 2018
Learn why a new approach is needed. Read this whitepaper, “A New Approach to Audit and Control in Enterprise Software”, and discover more about the changing landscape of control and governance. Learn how rethinking technology can be the touchstone to separation of duties, transparent business processes and comprehensive auditing. Understand: •How the changing world of control and governance places new requirements on today’s finance systems •Why legacy systems with bolt-on finance controls fail to deliver complete compliance •How technology innovations help transform the finance function and reinforce control
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Workday UK
Published By: Hewlett Packard Enterprise     Published Date: Dec 13, 2016
HPE Helion—Hewlett Packard Enterprise’s portfolio of cloud products and expert services built on an open architecture with support for a wide variety of environments—is designed to help you be successful in the Idea Economy. It realizes the potential of hybrid and the power of cloud with the experience, governance, and technology you need to accelerate your business.
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Hewlett Packard Enterprise
Published By: Iron Mountain     Published Date: Aug 28, 2014
Download this infographic to learn 5 common myths about EMR Transition and enterprise-wide information governance revealed in a survey conducted by Iron Mountain.
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iron mountain, him, health information managers, healthcare technology, information management, healthcare it, emr, emr transition, enterprise-wide information governance, compliance, information technology
    
Iron Mountain
Published By: Secureworks     Published Date: Nov 11, 2016
To ensure that “quasi-insiders” or third parties do not contribute to your enterprise’s attack vector, it’s imperative to develop a third-party governance process to mitigate risk. Read on to find out how.
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managed security services, risk management, security, threat and vulnerability management, attacks, insider attacks, cyber security
    
Secureworks
Published By: Workday Nordics     Published Date: Feb 27, 2018
This whitepaper looks into Governance, compliance, control, and audit, and how its been traditionally treated as afterthoughts, or even irritants, in the financial modules of classic “big ERP” software. It has been easy and, unfortunately, typical to ignore this topic when planning, building, and evaluating enterprise business software. Control concepts are not as urgent as transaction processing, as visible as financial reporting, or as exciting as analytics so they are almost always an afterthought. Today we can’t afford for governance to be an afterthought, and from day one Workday was built with that in mind.
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Workday Nordics
Published By: Workday DACH     Published Date: Mar 16, 2018
Erfahren Sie, warum ein neuer Ansatz nötig ist. Lesen Sie das Whitepaper “Ein neuer Ansatz für Audits und Kontrollen in Enterprise-Software” und erfahren Sie mehr über die sich verändernde Kontroll- und Governance-Landschaft. Lesen Sie, wie ein neu definierter Umgang mit Technologie zum Prüfstein für Aufgabentrennung, transparente Geschäftsprozesse und umfassende Audits werden kann. Das Whitepaper liefert Ihnen Antworten auf folgende Fragen: Inwiefern ändern sich die Anforderungen an moderne Finanzlösungen durch neue Kontroll- und Governance-Prozesse? Warum lässt sich mit traditionellen Lösungen und nachträglich hinzugefügten Funktionen zur Finanzkontrolle keine vollständige Compliance erreichen? Wie können technologische Innovationen dazu beitragen, das Finanzmanagement zu transformieren und die Kontrolle zu stärken?
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Workday DACH
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: Box     Published Date: Nov 24, 2015
Organizations are struggling to ensure their content is appropriately secure, while remaining easily searchable, accessible and shareable both inside and outside of the enterprise.
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box, business, enterprise, information governance, content, security, knowledge management, enterprise applications, business technology
    
Box
Published By: VMWare EMEA     Published Date: Oct 23, 2017
To meet the challenges of managing such a complex environment, IT teams need an enterprise-ready cloud management platform that can support multivendor environments, automate application and service delivery, and facilitate operations and governance. VMware provides an enterprise-ready cloud management platform that delivers the industry’s most complete solution for managing a heterogeneous, hybrid cloud, and supports cloud management requirements across Day 1 and Day 2 operations for compute, storage, network and application level resources. The VMware solution is in use today across a wide range of industries and use cases, delivering benefits such as faster provisioning, optimized IT operations, and lower capital spending. To learn more about the VMware cloud management platform, visit http://www.vmware.com/virtualization/ cloud-management.
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cloud optimization, cloud efficiency, cloud management, cloud assurance, cloud visibility, enterprise management, data management
    
VMWare EMEA
Published By: RSA Security     Published Date: Nov 06, 2013
RSA, the security division of EMC, was positioned by Gartner in the Leader’s quadrant of the 2013 Magic Quadrant for Enterprise Governance, Risk and Compliance Platforms based on completeness of vision and ability to execute.
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grc, risk, compliance, technology, best practices, archer, rsa, security, it management
    
RSA Security
Published By: ServiceNow     Published Date: Nov 22, 2013
This document discusses how self-service cloud provisioning can serve as a pragmatic customer-centric approach for managing the proliferation of public and private clouds. It discusses customer expectations, critical success factors, and key metrics required for a successful implementation of such an offering.
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servicenow, enterprise it, cloud computing, cloud provisioning, customer-centric cloud, it operations and governance, virtual resources, service catalog, automate everything, it services, put it on the cloud
    
ServiceNow
Published By: Waterline Data & Research Partners     Published Date: Jun 15, 2015
Information governance and master data management initiatives are complex and require participation from a broad range of enterprise constituents. We focus on five small and innovative vendors that may help information managers reach their information governance and MDM goals.
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vendors, governance, information, mdm, management
    
Waterline Data & Research Partners
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