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data governance

Results 176 - 200 of 205Sort Results By: Published Date | Title | Company Name
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: 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: Jan 14, 2015
Bloor Research investigated several key critical success factors for big data analytics. Their findings show that governance, data cleansing, and privacy and security have never been more important. Read this paper to see their conclusions.
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big data, data management, data exploration, gain visibility, security extension, business intelligence, explore data, data analytics, data center
    
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
    
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
    
IBM
Published By: SAS     Published Date: May 12, 2016
This paper examines the barriers to adoption from an IT and end-user perspective, and shows how self-service analytics in general – and SAS Visual Analytics in particular – can eliminate these barriers. Self-service analytics empowers users to truly exploit the wealth of data available to them, while ensuring that the IT organization maintains governance and control over that data.
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sas, business analytics, it organization, networking, it management, wireless
    
SAS
Published By: SAS     Published Date: Apr 25, 2017
If you’re in the data world, you know it’s full of discord. Multiple data sources, inconsistent standards and definitions, inaccurate reports and a lack of governance are enough to derail any organization. What’s an enterprise architect to do? With the right data governance and master data management (MDM) solution, you can set and enforce policies and establish a consistent view of your data without micromanaging it. You can eliminate duplicate and inconsistent data. You can combine traditional data and new big data sources – like streaming data from the IoT – into one harmonious view. Read this e-book for expert advice and case studies that will show you new ways to manage your big data – and make sure everyone’s on the same page.
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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: SAS     Published Date: Jun 05, 2017
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
Published By: Tableau Software     Published Date: Dec 12, 2014
A new generation of business intelligence emerges as the expectation for user-friendly analytics and the expertise to ask and answer questions with data continues to grow. The wave of innovation is far from over. This paper highlights the top trends in business intelligence for 2015.
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tableau, business intelligence, business management, data management, analytics, top trends, data governance, data journalism, the cloud, cloud data, cloud computing
    
Tableau Software
Published By: RSA Security     Published Date: Aug 28, 2014
Learn how connecting a Data Loss Prevention (DLP) system to an access governance solution can enable organizations to make informed decisions within a proper access governance framework, appropriately evaluate and manage risk, and obtain maximum benefit from their chosen DLP solution.
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RSA Security
Published By: Informatica     Published Date: Apr 16, 2007
David Loshin, consultant and author talked to Karen Hsu about Informatica's data quality, unstructured data and data governance solutions. Karen highlighted customers like Navteq and Humberside Police's innovative use of Informatica.
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b-eye, business intelligence, data integration, karen hsu, interview, informatica, crm, customer relationship management, crm tools, crm tool, data governance, data quality
    
Informatica
Published By: IBM     Published Date: May 30, 2008
Organizations with data-sharing environments, complex information and systems hinder business responsiveness and decision makers’ ability to make informed decisions. This white paper will describe how engaging in a master data management (MDM) project enables effective governance of data - specifically master data - and achieves maturity in key categories of the IBM Data Governance Maturity Model.
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ibm, mdm, master data management, data management, data governance
    
IBM
Published By: IBM     Published Date: May 30, 2008
This white paper, authored by industry analyst IDC, explores the problems confronting IT organizations today as they seek to bring data together from disparate sources in order to achieve better information coherence, operational efficiency, and more effective overall governance. Specifically, the paper considers the problems posed by the complexity of "data integration" technology in terms of its configuration and maintenance. It looks at the utility of a grid computing approach in providing scalability and manageability for "data integration" and considers how an appliance approach can further reduce cost and risk for customers.
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information management, data integration, blade server, ibm, leveraging information, ibm li, li campaign
    
IBM
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
Published By: IBM     Published Date: Aug 26, 2009
We need to move away from the current environment in which data is treated as separate from (and subservient to) applications and business process-which may require a cultural shift within the IT department.
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information strategy, ibm, corporate data resides, master data management, etl, data governance, lifecycle management., ibm's information agenda, information based enterprise, bloor research
    
IBM
Published By: Secure Computing     Published Date: Feb 27, 2007
Driven by increasing regulatory scrutiny and the need to protect key corporate assets, concerns about compliance and data leakage have risen to the top of the priority list for today's corporate executives. This paper discusses multiple policies, procedures and processes corporations must consider to remain secure and compliant.
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security, security management, compliance, security policies, hipaa compliance, data protection, database security, corporate governance, california sb-1386, california state bill 1386, authentication, secure computing, securecomputing
    
Secure Computing
Published By: Siperian     Published Date: Mar 29, 2007
Master Data Management (MDM) has made the CIO's technology short-list.  This paper addresses issues related to data governance, the business master, building on proven success, and ROI.  
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mdm, master data management, it management, return on investment, roi, rdi, reference data management, governance, siperian
    
Siperian
Published By: Informatica     Published Date: Sep 28, 2007
David Loshin, consultant and author talked to Karen Hsu about Informatica's data quality, unstructured data and data governance solutions. Karen highlighted customers like Navteq and Humberside Police's innovative use of Informatica.
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b-eye, business intelligence, data integration, karen hsu, interview, informatica, crm, customer relationship management, crm tools, crm tool, data governance, data quality
    
Informatica
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: SAS     Published Date: Jun 27, 2019
In the quest to understand how a therapeutic intervention performs in actual use – in real medical practice outside the controlled environment of clinical trials – many life sciences organizations are stymied. They rely on one-off processes, disconnected tools, costly and redundant data stores, and ad hoc discovery methods. It’s time to standardize real-world data and analytics platforms – to establish much-needed consistency, governance, repeatability, sharing and reuse. The organizations that achieve these goals will formalize their knowledge base and make it scalable, while significantly reducing turnaround times, resources and cost. Learn the seven key components for putting that structure to real-world evidence – and four ways to take it to the next level.
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SAS
Published By: Forensics Consulting Solutions     Published Date: Jan 31, 2011
A guide to understanding electronically stored information and workflows used to produce data for litigation.
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e-discovery, esi, electronic discovery, electronically stored information, workflows, data governance
    
Forensics Consulting Solutions
Published By: HP and Intel® Xeon® processors     Published Date: Sep 06, 2011
This IDC White Paper discusses the impact of the critical records management, data retention, and data protection regulations across key geographies. It concludes with recommendations for developing global information governance best practices.
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hp + intel, idc, data retention, data protection regulations, records management, global records compliance, content management
    
HP and Intel® Xeon® processors
Published By: Trillium Software     Published Date: Jun 06, 2011
The second Web seminar in the series is titled "Data Governance". Learn how Digital River successfully implemented Data Governance across their organization.
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trillium software, operational data quality, upstream operational systems, data governance, data monitoring, businessprocesses, digital river, data management, business applications, governance, monitoring
    
Trillium Software
Published By: IBM     Published Date: Oct 26, 2017
Threats to your digital assets are everywhere. They’re constant. So you build defenses to keep them out. But like a carpenter framing a new addition to a house, you want to regularly step back from working on the details for a full view of your work. Do the enterprise security measures you’ve built do a complete job of protecting against intrusions? Or have you left any gaps that allow bad actors an easy way in? When you check all the possibilities, you might be surprised.
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data protection, sensitive data, data security, identity governance, digital assets
    
IBM
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