Xendat Data & Analytics - Invidious

Xendat Data & Analytics

Xendat is leading the way in data and analytics consulting, staffing, research, and executive advisory services to business and IT leadership for Healthcare, Biotechnology, Pharmaceutical, Manufacturing, and other industries. Xendat offers a number of enterprise solutions that accelerate the strategic implementation of data and analytics capabilities. Since 2010, Xendat has managed and supported Ontology, Analytics, Data Governance, Master Data Management, Data Catalog, and other Data Management projects in domestic and global Fortune 500 companies. Xendat has developed a propriety framework for Enterprise Data Management that brings together multi-discipline best practices in a single holistic ecosystem.

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4:29

Data Governance Framework and Models

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データとは何か

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1:40

Metadata

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1:14

Business Data Objects

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Attributes Describe Things

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Software Deployment Projects

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Data Integration Projects

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0:39

Data Migration Projects

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4:34

Information Paradigm

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Big Data Projects

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Product Paradigm

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Business Intelligence and Repprting Projects

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Data Analytics Projects

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Data Classification Intro Clip

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Data Quality Projects

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Data Warehousing Projects

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Managing Master Data Across Multiple Processes

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Master Data Drives Consolidation

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Master Data Management Best Practices

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Master Data Management Projects

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Reporting Data

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Software Deployment Projects

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Using Canonical Models in MDM

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What is Master Data

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1:23

Big Data Segmentations

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Data Integration Projects

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Data Integration vs Migration

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Data Lifecycle

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Data Quality Dimensions

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Data Quality Requirements Validity Example

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Data Quality

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Formal Data Integration

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Impact of Data Dissemination on Data Quality

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Informal Data Integration: Understanding the Risks and Challenges

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Proactive Data Quality: Ensuring Clean Data at Inception

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Data Quality: Understanding the Risks of Data Cleansing

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Data Governance Dimensions: Designing Comprehensive Governance for Your Organization

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Data Governance Functional Matrix: Aligning Business Functions for Better Data Management

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Data Governance Organization: Building a Sustainable Governance Structure

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Data Governance Principles: Building a Foundation for Effective Data Management

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Data Governance Process Levels: Structuring an Effective Data Management Program

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Data Governance Roles: Defining Responsibilities for Data Integrity and Quality

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Data Management Capabilities

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0:44

Data Policies: Ensuring Compliance and Managing Risks

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Shared 1 year ago

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Data Management Office Responsibilities: Managing and Improving Business Data

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Enterprise Data Management Office Responsibilities: Ensuring Data Quality and Accountability

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Enterprise Data Management Office Responsibilities Scope: Managing Master and Reporting Data

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Objectives of the Enterprise Data Management Office (EDMO): Ensuring Synergic Data Governance

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Understanding Data Lineage: Tracking Data Flow Across Systems

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Data Affinity Analysis: Understanding the Role of Business Data in Processes and Systems

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Data Lineage Analysis Example: Mapping Data Flow Across Systems

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Data Project Governance Model: Ensuring Alignment with Data Stakeholders

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Data Project PLC Analysis Phase: Identifying Data Changes and Impacts

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Data Project PLC Build Phase: Implementing Data Changes and Integration

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Data Project PLC Deployment Phase: Taking Your Data Solution Live

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Data Project PLC Design Phase: Modeling and Designing Data Solutions

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Data Project PLC ID and Assess Phase: Identifying and Assessing Project Feasibility

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Data Project PLC QA Phase: Ensuring Data Quality and Integrity

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Data Project PLC Scope Dimensions: Managing Stakeholder Alignment in IT Projects

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Data Project PLC: Using the Data Governance Matrix for Impact Analysis

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Shared 1 year ago

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