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If your organization is in a highly-regulated industry – or relies on data for competitive advantage – data governance is undoubtedly a top priority. Whether you’re focused on “defensive” data governance (supporting regulatory compliance and risk management) or “offensive” data governance (extracting the maximum value from your data assets, and minimizing the cost of bad data), data quality plays a critical role in ensuring success. Join our webinar to learn how enterprise data quality drives stronger data governance, including: The overlaps between data governance and data quality The “data” dependencies of data governance – and how data quality addresses them Key considerations for deploying data quality for data governance
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Data Governance Program Powerpoint Presentation Slides
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Develop a data-driven, fit-for-purpose plan with a strong link to execution
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Making data based decisions makes instinctive sense, and evidence is mounting that it makes strong commercial sense too. Whilst being aware of this kind of potential is undoubtedly valuable, knowing it and doing something about it are two very different things. So how do you go about becoming a data driven organization? And how does the Data Management Maturity Assessment help in achieving your data strategy goals?
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This introduction to data governance presentation covers the inter-related DM foundational disciplines (Data Integration / DWH, Business Intelligence and Data Governance). Some of the pitfalls and success factors for data governance. • IM Foundational Disciplines • Cross-functional Workflow Exchange • Key Objectives of the Data Governance Framework • Components of a Data Governance Framework • Key Roles in Data Governance • Data Governance Committee (DGC) • 4 Data Governance Policy Areas • 3 Challenges to Implementing Data Governance • Data Governance Success Factors
Introduction to Data Governance
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Similar to Data governance, Information security strategy
As businesses generate and manage vast amounts of data, companies have more opportunities to gather data, incorporate insights into business strategy and continuously expand access to data across the organisation. Doing so effectively—leveraging data for strategic objectives—is often easier said than done, however. This report, Transforming data into action: the business outlook for data governance, explores the business contributions of data governance at organisations globally and across industries, the challenges faced in creating useful data governance policies and the opportunities to improve such programmes.
Eiu collibra transforming data into action-the business outlook for data gove...
Eiu collibra transforming data into action-the business outlook for data gove...
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Federated data organizations in public sector face more challenges today than ever before. As discovered via research performed by North Highland Consulting, these are the top issues you are most likely experiencing: • Knowing what data is available to support programs and other business functions • Data is more difficult to access • Without insight into the lineage of data, it is risky to use as the basis for critical decisions • Analyzing data and extracting insights to influence outcomes is difficult at best The solution to solving these challenges lies in creating a holistic enterprise data governance program and enforcing the program with a full-featured enterprise data management platform. Kreig Fields, Principle, Public Sector Data and Analytics, from North Highland Consulting and Rob Karel, Vice President, Product Strategy and Product Marketing, MDM from Informatica will walk through a pragmatic, “How To” approach, full of useful information on how you can improve your agency’s data governance initiatives. Learn how to kick start your data governance intiatives and how an enterprise data management platform can help you: • Innovate and expose hidden opportunities • Break down data access barriers and ensure data is trusted • Provide actionable information at the speed of business
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WHITE PAPER: Distributed Data Quality
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This presentation contains our view on how data can be Strategically managed and stewarded in an organization, and the categories where rules can be applied to facilitate that process.
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189 C H A P T E R 10 Information Governance and Information Technology Functions Information technology (IT) is a core function impacted by information gover-ynance (IG) efforts. IT departments typically have been charged with keeping the “plumbing” of IT intact—the network, servers, applications, and data—but although the output of IT is in their custody, they have not been held to account for it; that is, the information, reports, and databases they generate have long been held to be owned by users in business units. This has left a gap of responsibility for governing the information that is being generated and managing it in accordance with legal and regulatory requirements, standards, and best practices. Certainly, on the IT side, shared responsibility for IG means the IT department itself must take a closer look at IT processes and activities with an eye to IG. A focus on improving IT effi ciency, software development processes, and data quality will help contribute to the overall IG program effort. IT is an integral piece of the program. Debra Logan, vice president and distinguished analyst at Gartner, states: Information governance is the only way to comply with regulations, both cur- rent and future, and responsibility for it lies with the CIO and the chief legal offi cer. When organizations suffer high-profi le data losses, especially involv- ing violations of the privacy of citizens or consumers, they suffer serious repu- tational damage and often incur fi nes or other sanctions. IT leaders will have to take at least part of the blame for these incidents. 1 Gartner predicts that the need to implement IG is so critical that, by 2016, fully one in fi ve chief information offi cers (CIOs) will be terminated for their inability to implement IG successfully. Aaron Zornes, chief research offi cer at the MDM (Master Data Management) Institute, stated: “While most organizations’ information governance efforts have fo- cused on IT metrics and mechanics such as duplicate merge/purge rates, they tend to ignore the industry- and business-metrics orientation that is required to ensure the economic success of their programs.” 2 190 INFORMATION GOVERNANCE Four IG best practices in this area can help CIOs and IT leaders to be successful in delivering business value as a result of IG efforts: 1. Don’t focus on technology, focus on business impact Technology often enthralls those in IT—to the point of obfuscating the reason that technologies are leveraged in the fi rst place: to deliver business benefi t. So IT needs to reorient its language, its vernacular, its very focus when implementing IG programs. IT needs to become more business savvy, more businesslike, more focused on delivering business benefi ts that can help the organization to meet its business goals and achieve its business objectives. “Business leaders want t.
189 .docx
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What You Should & Shouldn't Tell Your Management about Data Governance
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Data governance, Information security strategy
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Data Governance Process
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the influencers, not the leaders. Also, the chair is not the executive sponsor 5. Manage the Data Lifecycle & Maintian transparency 6. Engage the Right Vendors can help streamline data governance policies better.
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Vasanthi Nagappan
Download now