Certificate in Transforming Data-driven to IDOs Agendakeyboard_arrow_right
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Certificate in Transforming Data-driven to IDOs Agenda
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Certificate in Transforming Data-driven to IDOs Agenda
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Presentation
Day One: Overview of Insights Driven Organization (IDO)
Demystify Buzzwords
- Web 3.0
- Blockchain
- Artificial Intelligence (ML, DL)
- Metaverse
Digital Transformation & its pillars for an IDO
- People
- Processes
- Technology
Cultural/ People Transformation\Roles & Responsibilities
- Skills & Competencies
- Principles, Policies & Processes
- RACI Matrix
Importance of Visualization
- portance of Visualization
- How to build Impactful Data Visualizations
- The art of storytelling using Visualization
- Communicating Insights & Effective KPIs
Presentation
Day Two: Key Components of a Successful IDO
Data vs Information Journey
- Data to Information to Knowledge to Wisdom
- Information Lifecycle in an organization
- Plan to Specify to Enable to Create to Maintain to Retrieve to Purge
- Synergies between Information lifecycle & Software Development Lifecycle (SDLC)
Role of Data Management in an IDO
- Various Domains in Data Management
- Aligning Data Management (DM) with Business Objectives
- Business Strategy and DM Strategy
IDO Readiness Assessment
- Maturity Model (CMMI)
- Gap Analysis- “As Is” vs “To Be”
- Data as an Enterprise Asset
- Data Valuation
- Replacement Value
- Industry Value
- Commercial Value
- Operational Value
Data Monetization
- Increasing Customer Acquisition/ Retention
- Supplemental Revenue Streams
- New Line of Business
- Reduced ongoing Maintenance
Data Privacy vs Data Security
- CIA Framework
- Confidentiality
- Integrity
- Availability
- 4As of Data Security
- Authentication
- Authorization
- Access
- Audit
Presentation
Day Three: IDO Culture Enablement
Effective Communication of Insights
- Removing Bias
- Eliminate Buzzwords
- Power of 5 Whys (Ishikawa Diagram)
- How to Evaluate Insights
- Challenge Data Results
Role of Data Governance (DG)
- What is DG?
- DG Drivers & Issues
- Types of DG
- DG Operating Models
Importance of Ethics- Responsible Data & AI
- Fairness
- Reliability
- Privacy
- Inclusiveness
- Transparency
- Accountability
Data Driven Insights
- Pitfalls & Challenges
- Activity- As groups, strategize & solve a scenariobased case study
- And in the process, move from general business decisioning to data driven decision making
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