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data governance

Results 1 - 25 of 205Sort Results By: Published Date | Title | Company Name
Published By: SAS     Published Date: Mar 14, 2014
Judgment is a process and not a single event. Good judgment and sound decision making are at the heart of data governance.
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sas, data governance, data management, data measurement, governance policy, payback, tactical, structured, data center
    
SAS
Published By: SAS     Published Date: Jun 06, 2018
Written by Jill Dyche and Kimbery Nevala, 10 Mistakes to Avoid When Launching your Data Governance Program lays out a comprehensive list of issues that can trip up an organization as it gets started with DG. Learn how to use good judgment and sound decision making to sidestep these common issues.
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SAS
Published By: SAS     Published Date: Apr 25, 2017
Your company’s culture is indispensable in informing the right way to govern data, a point we hope to drive home in this white paper. When you review the mistakes that otherwise earnest companies have made in their quests to apply rigor to their data, you’ll see why our mantra is: There is no template for data governance. And hopefully, you’ll realize what you need to do now.
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SAS
Published By: Oracle     Published Date: Apr 22, 2014
This document focuses on the trends that are driving decision-making on cloud including the growing connection between cloud, mobility, and data; cloud services governance and integration; and continuing development of cloud ecosystems among vendors.
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cloud services, trends, cloud services, oracle
    
Oracle
Published By: Group M_IBM Q2'19     Published Date: Apr 03, 2019
The growing need for data governance, risk and compliance, data analysis and data value still drives strategic requirements in metadata management and the growth of its solutions. Data and analytics leaders can use this vendor evaluation to find the most appropriate solution for their organization.
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Group M_IBM Q2'19
Published By: Box     Published Date: Jun 22, 2018
Like other IT leaders, you know you have to modernize your IT infrastructure to become more productive, efficient, agile and competitive. So what's holding you back? Many organizations are still devoting anywhere from 60% to 80% of their time, energy, human resources and budget to supporting legacy systems rather than develop transformative solutions. Our new eBook, Your 3-step roadmap to IT modernization, will help you align your approach to IT with the way your business works today — and the way you will work in the digital age: • Increased mobility, multiple device formats and distributed workgroups • Greater collaboration with outside organizations, including customers, suppliers and partners • Essential enterprise risk management features such as compliance, legal, security and data governance Here you'll learn the three stages of IT modernization — from realigning your infrastructure to updating business processes — so you take the right steps.
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Box
Published By: SAS     Published Date: Apr 16, 2015
SAS Institute is gearing up to make a self-service data preparation play with its new Data Loader for Hadoop offering. Designed for profiling, cleansing, transforming and preparing data to load it into the open source data processing framework for analysis, Data Loader for Hadoop is a lynchpin in SAS's data management strategy for 2015. This strategy centers on three key themes: 'big data' management and governance involving Hadoop, the streamlining of access to information, and the use of its federation and integration offerings to enable the right data to be available, at the right time.
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SAS
Published By: Winshuttle     Published Date: Apr 18, 2017
How can a finance and/or controller professional access SAP FICO data leveraging Microsoft Excel in a highly usable and interoperable fashion while respecting all of the SAP core security and governance controls? In order to fully explore this question, this white paper highlights five valuable ways to leverage Microsoft Excel to reduce Finance & Controller operational costs while making your SAP FICO systems implementation, management and maintenance life easier.
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Winshuttle
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
    
Commvault
Published By: Paxata     Published Date: Nov 14, 2018
This eBook provides a step-by-step best practices guide for creating successful data lakes.
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data lakes, governance, monetization
    
Paxata
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: Forcepoint     Published Date: Jun 06, 2019
Today’s employees demand greater flexibility, productivity, and mobility. And while cloud and BYOD policies have answered that call, they’ve also added unforeseen complexities the way IT manages data security and compliance. How can you balance productivity and risk in SaaS environments? “A Guide to Achieving SaaS Security and Compliance” deconstructs the idea that cloud security and user productivity are mutually exclusive. This whitepaper includes guidance on how to: Select SaaS providers that follow the very same external standards (e.g., PCI DSS) as your organization. Apply the same in-house security, governance, and compliance principles to cloud services. Leverage tools and processes to gain visibility, control access, and protect data in your SaaS environment.
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Forcepoint
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, networking, it management
    
K2
Published By: IBM     Published Date: Aug 24, 2017
Data governance is all about managing data, by revising that data to standardize it and bring consistency to the way it is used across numerous business initiatives. What’s more, data governance ensures that critical data is available at the right time to the right person, in a standardized and reliable form. A benefit that fuels better organization of business operations, resulting in improved productivity and efficiency of that organization. Thus, the importance of proper data governance cannot be understated. The concepts of data governance have evolved, where the first iteration of data governance, often referred to as version 1.0, focused on three simplistic elements: objectives, structure and processes; having a limited focus and scope due to its tactical usage. The opportunity from the growing value of data in the realm of analytics, business intelligence, and generating insights was left unrealized. Today, organizations are moving towards what can be called Data Governance 2.0,
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ibm, unified governance strategy, data management, data governance
    
IBM
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: DataFlux     Published Date: Jan 07, 2011
This white paper, the first in a sequence, addresses the question, "who, specifically, are those right groups and right people?" on several different levels. It also highlights underlying principles that, properly applied, lead to solid answers to the "who" questions for a wide variety of scenarios.
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dataflux, data agenda, data quality, governance, analytics, measurement and reporting, automation, test and measurement
    
DataFlux
Published By: IBM     Published Date: Jun 05, 2018
Keeping up with ever changing contract management work is challenging. Governing legal and procurement content is written by thousands of people and applied to hundreds of situations. To stay compliant, organizations employ knowledgeable professionals to analyze every sentence to determine the changes that need to be made to company contracts. The manual process of sifting through these dense, complicated documents is inefficient and prone to error. Watson Compare and Comply is trained on contract specific knowledge and classifications and can streamline contract workflows through semantic understanding. Join Director of Watson Offering Management, Adam Orentrichler, and Chief Data Scientist of SAP Ariba, David Herman, as they discuss how Watson can transform the way your company manages contract governance.
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IBM
Published By: Ricoh     Published Date: Sep 17, 2019
We do business in the age of information. The amount of data, the number of sources, the uses for data, and the routes that it travels have all been growing at an exponential rate. The importance of managing, securing, sharing and measuring information is the core of Information Governance. IG enables organizations to extract the value of information to make better business decisions, but how to go about the massive task is harder to grasp.
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Ricoh
Published By: SAS     Published Date: Mar 14, 2014
This Q&A with Tom Davenport, Director of Research for the International Institute for Analytics (IIA), will help you understand how analytics is evolving, where you need to go, and how to get there.
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sas, data categorization, retrieval and quality, data visualization, data governance program, data management, data quality, business objectives, quality data, accuracy, lineage, structural consistency, relevant metrics, analytics, analytical study, visualization deployment, deployment, institute for analytics
    
SAS
Published By: Datastax     Published Date: Oct 21, 2019
A recent Gartner survey found that 80% of respondents using public cloud are using more than one cloud service provider (CSP). As databases move to the cloud, the database management service vendor landscape is shrinking, and data governance and integration are becoming more complex. Are you ready for the impact of multicloud deployments on data and analytics strategies in your own organization? This new Gartner report on multicloud and intercloud data management provides an impact appraisal along with recommendations for leaders planning to incorporate multiple CSPs into their data management strategies.
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Datastax
Published By: Druva     Published Date: Jan 06, 2016
Compiled from real life use cases, Blue Hill Research examined how organizations are gaining greater value from their archive of user data, converging data availability, archiving and governance to meet their wider data management needs.
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druva, blue hill, enterprise, archive, data, user data, security, enterprise applications
    
Druva
Published By: AWS     Published Date: Oct 07, 2019
Securing cloud environments is different from securing traditional data centers and endpoints. The dynamic nature of the cloud requires continuous assessment and automation to avoid misconfigurations, compromises, and breaches. It can also be difficult to gain complete visibility across dynamic and rapidly changing cloud environments — limiting your ability to enforce security at scale. On top of these challenges, cloud governance is critical to maintain compliance with regulatory requirements and security policies as they evolve. Because cloud deployments are not just implemented once and left untouched, organizations need to consider how to integrate security into their CI/CD pipeline and software development lifecycle. Implementing a security solution that addresses cloud challenges requires deep security and cloud expertise that organizations often do not have. Once in the cloud, organizations manage and create environments via automation, adapt their workloads to changes by automa
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AWS
Published By: TIBCO Software     Published Date: Nov 07, 2019
Is your risk infrastructure showing signs of strain in the face of FRTB, Basel III, and BCBS 239? Imagine a risk function where discrepancies among business, risk, and finance views are eliminated, setting the stage for advanced technologies, robotic process automation, and machine learning. Take a step beyond first generation data governance towards unified data and analytics across the enterprise. In this whitepaper, we explore how technology can help financial institutions not just automate compliance, but demonstrate organizational commitment to the change management process and adherence to the principles of regulations and law. Get insights into: How you can master regulatory change as part of transforming the risk function, elevating knowledge and data resources through governance, MDM, data science, and analytics An overview of the key market challenges for delivering a unified data management and governance model Real-world case studies from G-SIBs focused on data governanc
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TIBCO Software
Published By: Group M_IBM Q418     Published Date: Oct 23, 2018
The EU General Data Protection Regulation (GDPR) has arrived. Every company doing business with European customers — regardless of location — must make considerable governance, people, process, and technology changes to comply with the new rules. While companies have made progress, more work remains. To succeed, they must tackle key challenges, including data identification, mapping, and access management. Despite the work ahead, forward-looking businesses understand GDPR is an opportunity. This is a transformation for a data-savvy world, with the potential to yield enhanced customer and business benefits. Investment in solutions with data privacy, security, and compliance offerings that can protect data no matter where it’s stored — on-premises and in the cloud — can ease companies along their readiness journeys and help them achieve and sustain compliance from May 25, 2018, and onward
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Group M_IBM Q418
Published By: IBM     Published Date: Dec 30, 2008
Does your business need to safeguard information, keep auditors and regulators satisfied, and improve data quality? Data governance is the answer. This informative video outlines the latest challenges and best practices in data governance. IBM data governance solutions help businesses with:• Audit and reporting • Data architecture/infrastructure • Data quality • Information lifecyle management • Metadata/business glossaries • Organizational design/development • Policy/risk management • Security/privacy/compliance • Stewardship/value creation
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ibm, data governance, safeguard information, data quality, data architecture, data infrastructure, information lifecycle management, metadata, business glossaries, organizational design, organizational development, policy management, risk management, security, privacy, compliance, stewardship, value creation, enterprise applications
    
IBM
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