Data Governance And Compliance
Data Requirements
Data Quality
Data Quality
Data Models
Big Data Challenges in Healthcare
The Challenges of Big Data Scalability
Data Configuration
Management 
Management is the process of planning, organizing, leading,
and controlling the resources of an organization to achieve specific goals efficiently and effectively
...The field of management encompasses various disciplines, including business analytics and
data governance, which play a vital role in decision-making and operational efficiency
...Compliance: Adhering to regulations and standards related to data privacy and security
...
Protocols the realm of business, protocols refer to established guidelines or procedures that govern operations, communications,
and data management
...ensuring consistency, reliability, and
compliance within organizations, particularly in the areas of business analytics and data
governance ...
Data Requirements Data requirements refer to the specific criteria
and conditions that data must meet to be effectively utilized in business analytics and data mining processes
...Data
Governance Data governance is a framework that ensures data is managed properly throughout its lifecycle
...Compliance: Ensuring adherence to regulatory requirements and industry standards
...
Data Quality Data quality refers to the condition of a dataset
and its fitness for use in operations, decision-making, and planning
...High-quality data is crucial for effective business analytics and data
governance ...lead to: Inaccurate insights and analyses Increased operational costs Loss of customer trust Regulatory
compliance issues Reduced competitive advantage Dimensions of Data Quality Data quality can be assessed through several dimensions, each providing a different perspective
...
Data Quality Data quality refers to the condition of a dataset, specifically its accuracy, completeness, reliability,
and relevance for its intended use
...to: Inaccurate insights and analyses Increased operational costs Damaged reputation and customer trust
Compliance issues and legal penalties Dimensions of Data Quality Data quality can be evaluated across several dimensions, each contributing to the overall quality of the dataset
...Lack of Standards: Without clear data
governance and standards, maintaining quality becomes difficult
...
Data Models Data models are essential frameworks that define how data is structured, stored,
and manipulated within a business environment
...They play a crucial role in business analytics and data
governance, enabling organizations to make informed decisions based on accurate and relevant data
...Ensuring
Compliance: Data models help in implementing data policies and standards to comply with regulations
...
Big Data Challenges in Healthcare Big
data has revolutionized many sectors,
and healthcare is no exception
...Key Issues
Compliance with regulations Risk of data breaches Patient consent and data usage transparency 2
...Data
Governance Establishing effective data governance is essential for managing data quality, security, and compliance
...
The Challenges of Big Data Scalability Big
Data scalability refers to the capability of a system to handle growing volumes of data efficiently
...Overview of Big Data Scalability Scalability in the context of Big Data involves both horizontal
and vertical scaling
...key areas: Infrastructure Limitations Data Integration Performance Bottlenecks Cost Management Data
Governance Technological Complexity 1
...Ensuring
compliance with regulations such as GDPR
...
Data Configuration Data Configuration refers to the process of organizing
and structuring data in a way that facilitates efficient data analysis and retrieval
...Data
Governance Establishing policies and procedures for managing data integrity and security
...Compliance and Security: Ensuring data compliance with regulations while maintaining security can be difficult
...
Data Framework A
Data Framework refers to a structured approach to organizing, managing,
and utilizing data within an organization
...Components of a Data Framework A comprehensive data framework typically includes the following components: Data
Governance: Establishes policies and procedures for data management, ensuring data quality, security, and
compliance ...
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