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دانلود کتاب Data Governance For Dummies

دانلود کتاب حاکمیت داده

Data Governance For Dummies

مشخصات کتاب

Data Governance For Dummies

دسته بندی: سازمان و پردازش داده ها
ویرایش: 1 
نویسندگان:   
سری: For Dummies 
ISBN (شابک) : 1119906776, 9781119906797 
ناشر: Wiley 
سال نشر: 2022 
تعداد صفحات: 291 
زبان: English 
فرمت فایل : PDF (درصورت درخواست کاربر به PDF، EPUB یا AZW3 تبدیل می شود) 
حجم فایل: 10 مگابایت 

قیمت کتاب (تومان) : 42,000



کلمات کلیدی مربوط به کتاب حاکمیت داده: بهترین روش ها، برای ساختگی ها، انطباق، حاکمیت داده ها



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توجه داشته باشید کتاب حاکمیت داده نسخه زبان اصلی می باشد و کتاب ترجمه شده به فارسی نمی باشد. وبسایت اینترنشنال لایبرری ارائه دهنده کتاب های زبان اصلی می باشد و هیچ گونه کتاب ترجمه شده یا نوشته شده به فارسی را ارائه نمی دهد.


توضیحاتی در مورد کتاب حاکمیت داده

نحوه ایجاد و نگهداری سازمان های داده قوی - روش Dummies Data Governance For Dummies اولین گام قابل دسترسی را برای تصمیم گیرندگان به منظور درک نحوه عملکرد حاکمیت داده و نحوه اعمال آن در سازمان به گونه ای که نتایج را بهبود می بخشد و مختل نمی کند ارائه می دهد. سازمان خود را برای مدیریت انفجار داده ها (اگر می دانید، می دانید) آماده کنید و یاد بگیرید که چگونه این دارایی ارزشمند را مدیریت کنید. کنترل کامل داده های سازمان خود را با تمام اطلاعات و روش های مورد نیاز خود در دست بگیرید. این کتاب به شما کمک می‌کند تا داده‌های دقیق را به راحتی در دسترس قرار دهید و آن‌ها را در یک محیط امن نگهداری کنید. این به عنوان راهنمای گام به گام شما برای استخراج هر اونس ارزش از داده های شما عمل می کند. • تأثیر و ارزش داده ها را در کسب و کار خود شناسایی کنید • برنامه های حاکمیتی متناسب با سازمان شما طراحی کنید • ابزارهایی را که عملکرد و نیاز را اندازه گیری می کنند، کشف و بکار بگیرید • به نیازهای داده رسیدگی کنید و فرهنگ کسب و کار مبتنی بر داده را بیشتر بسازید این کتاب راهنمای عالی برای متخصصان دنیای تجزیه و تحلیل داده ها و هوش تجاری، به علاوه افرادی است که به طور روزانه با داده ها تعامل دارند. و مانند همیشه، Dummies چیزها را با عباراتی توضیح می‌دهد که هر کسی بتواند آن را بفهمد، و یادگیری هر چیزی را که باید بدانید آسان می‌کند.


توضیحاتی درمورد کتاب به خارجی

How to build and maintain strong data organizations—the Dummies way Data Governance For Dummies offers an accessible first step for decision makers into understanding how data governance works and how to apply it to an organization in a way that improves results and doesn't disrupt. Prep your organization to handle the data explosion (if you know, you know) and learn how to manage this valuable asset. Take full control of your organization’s data with all the info and how-tos you need. This book walks you through making accurate data readily available and maintaining it in a secure environment. It serves as your step-by-step guide to extracting every ounce of value from your data. • Identify the impact and value of data in your business • Design governance programs that fit your organization • Discover and adopt tools that measure performance and need • Address data needs and build a more data-centric business culture This is the perfect handbook for professionals in the world of data analysis and business intelligence, plus the people who interact with data on a daily basis. And, as always, Dummies explains things in terms anyone can understand, making it easy to learn everything you need to know.



فهرست مطالب

Title Page
Copyright Page
Table of Contents
Introduction
	About This Book
	Foolish Assumptions
	Icons Used in This Book
	Beyond the Book
	Where to Go from Here
Part 1 Data Everywhere
	Chapter 1 Defining Data Governance
		Understanding Data Governance
			What is meant by governance?
			What is data governance?
				Data governance versus data management
				Data governance versus information governance
				The value of data governance
				Creating a data governance program
		Developing a Data Governance Framework
			Leadership and strategy
			Roles and responsibilities
			Policies, processes, and standards
			Metrics
			Tools
			Communications and collaboration
		Preparing for Data Governance
			What is data culture?
				Assessing the data culture
				Maturing the data culture
			Assessing data governance readiness
	Chapter 2 Exploring a World Awash in Data
		Defining Data
			What’s all the fuss about data?
			Welcome to the zettabyte era
			From data to insight
		The Role of Data in the 21st Century
			Data-driven decision-making
			Data as the new oil
			Data ownership
			Data architecture
			The lifecycle of data
			Data quality matters
		Understanding the Impact of Big Data
			Defining big data
			The drivers of big data
			Consequences of big data
			What about small data?
			Here comes smart data
	Chapter 3 Driving Value through Data
		Identifying the Roles of Data
			Operations
			Strategy
			Decision-making
			Measuring
			Monitoring
			Insight management
			Reporting
			Other roles for data
		Improving Outcomes with Data
			Approaching data as an asset
			Data analytics
			Data management
			Governing data
	Chapter 4 Transforming through Data
		Examining the Broader Value of Data
			Data catalogs
			From data to insights
			Data analytics
			Data monetization
			Data-driven decision making
		Developing a Data Strategy for Improved Results
			Why every organization needs a data strategy
			Creating a data strategy
			Managing and monitoring your data strategy
Part 2 Delivering Data Governance
	Chapter 5 Building the Business Case for Data Governance
		Identifying the Business Case for Data Governance
			Drivers of change
			Supporting governance, compliance, and risk
			Improving the financial bottom line
			Other arguments for supporting a data governance program
		Creating a Data Governance Strategy Proposal
			Involving the right stakeholders
			Documenting and delivering the business case
			Considering and presenting costs
	Chapter 6 Focusing on the Fundamentals of Data Governance
		Establishing Basic Approaches to Data Governance
			Transparency
			Accountability
			Standardization
			Change management
		Examining Where Data Governance Brings Value
			Privacy
			Availability
			Usability
			Consistency
			Compliance
			Security
			Integrity
			Business intelligence
			Quality
Part 3 Developing Data Governance
	Chapter 7 Establishing Data Governance Objectives
		Defining an Organization’s Priorities
			Alignment with organizational needs
			Ensuring inclusiveness
		Determining the Desired Outcomes
			Understanding and achieving program success
			Agreeing on a desired maturity level
				Level 1: Initial
				Level 2: Aware
				Level 3: Defined
				Level 4: Proactive
				Level 5: Optimized
	Chapter 8 Identifying Data Governance Roles and Responsibilities
		Exploring Roles and Responsibilities in Data Governance
			Data governance manager
			Data owner
			Data steward
			Data custodian
			Roles of the chiefs in data governance
				Chief Executive Officer (CEO)
				Chief Data Officer (CDO)
				Chief Compliance Officer (CCO)
				Chief Information Officer (CIO)
				Chief Information Security Officer (CISO)
		Creating Data Governance Leadership Groups
			Data Stewardship Council (DSC)
			Data Governance Council (DGC)
			Data Governance Program Office (DGPO)
	Chapter 9 Designing a Data Governance Program
		Analyzing Stakeholder Needs
			Identifying data governance stakeholders
			Analysis techniques for data governance programs
				Understand the business strategy
				Identify data assets
				Conduct a risk analysis
				Collect stakeholder requirements
			Tips for requirements gathering
			The role of data modeling
			Knowledge graphs
		Developing Policies and Procedures
			Designing policies and procedures
			Creating policies and procedures
			Designing a policy document
	Chapter 10 Deploying a Data Governance Program
		Implementing a Data Governance Program
			Change management
			Change management for data changes
			Announcing the program
				Formalize the communications function
				Preview the program
				Use a variety of channels
				Utilize many voices
				Provide examples of benefits
				Use clear language
			Quick communication tips
				Clarity and simplicity
				Positivity and relevancy
				Consistency and repetition
				Creativity and playfulness
			Providing training
		Using Data Governance Across the Enterprise
			The role of data governance in organizational functions
				Executive suite and general management
				Sales
				Marketing
				Human resources
				Information technology
				Finance
				Other departments
			Data governance in emerging technologies
				Digital transformation
				Artificial intelligence
				Internet of Things (IoT)
				Blockchain
Part 4 Democratizing Data
	Chapter 11 Running a Successful Data Governance Program
		Managing the Day-to-Day of a Data Governance Program
			Ongoing program communications
			Reporting on status
			Continuous improvement
			The PDCA framework
			Resolving data definition disputes
			Master data management
			Reference data
		Automating a Data Governance Program
			Software tools for data governance
			Selecting data governance tools
			DataOps
			DataGovOps
			Cloud data governance
	Chapter 12 Measuring and Monitoring a Data Governance Program
		Identifying Ways to Measure Program Success
			Determining the right performance indicators
				Data quality
				Strategic alignment
				Governance
				People
				Technology
			Building a management dashboard
				Management dashboard best practices
				Using a management dashboard
			Using a data governance balanced scorecard
		Deploying Monitoring Processes
			The role of monitoring in data governance
			Deciding what to monitor
				Data quality
				Compliance
				Data governance program
				Data lineage
				Cybersecurity
			Automating monitoring
			Enforcing data governance
			Garnering support for the program
				Communication
				Documentation
				Metrics
				Continuous improvement
	Chapter 13 Responding to Data Governance Challenges and Risks
		Exploring the Complexities of Data Governance
			Data governance is hard
				Insufficient leadership and organizational support
				Too much (or too little ambition) at the start
				Poor communications and change management
				Data challenges
			Data governance is easy
				Data governance is already happening
				Big returns for low investment
				Even small steps can produce results
				Leaders and teams are more motivated than they appear
		Anticipating Ongoing Program Risks and Challenges
			Areas of data governance maintenance
				Staffing
				Ongoing communications
				Aligning data strategy with data governance
				Current regulations and policies
				Problem management
				Periodic program reviews
			The evolving data landscape
				People
				Process
				Technology
Part 5 The Part of Tens
	Chapter 14 Ten Data Governance Best Practices
		Start Small and Progressively Build Your Program
		Ensure the Program Is Aligned with the Interests of the Organization
		Get Your Leaders to Advocate for the Program’s Success
		Begin the Change Management Process Early
		Establish Meaningful Metrics
		Create Abundant Learning Opportunities for Team Members
		Communicate Early and Often
		Remind Stakeholders This Is a Program, Not a Project
		Focus on People and Behaviors
		Understand What Data Matters to the Organization
	Chapter 15 Ten Essential Data Governance Stakeholders
		Data Owner
		Data Steward
		Data Custodian
		Data User
		Data Governance Manager
		Chief Data Officer (CDO)
		Chief Information Officer (CIO)
		Chief Executive Officer (CEO)
		Data Governance Council (DGC)
		Data Governance Program Office (DGPO)
Index
EULA




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