Data Analytics and AI Strategy Toolkit (PowerPoint PPTX Slide Deck)

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BENEFITS OF THIS POWERPOINT DOCUMENT

1. Domont Consulting is trusted by 200,000+ executives, consultants and entrepreneurs from small & large organizations.
2. Includes 700 PowerPoint slides + 40 Excel sheets + 65 minutes of video training.
3. Includes frameworks, tools, templates, tutorials, real-life examples, best practices, and video training.

ARTIFICIAL INTELLIGENCE PPT DESCRIPTION

This product (Data Analytics and AI Strategy Toolkit) is a 700-slide PPT PowerPoint presentation slide deck (PPTX) with a supplemental Zip archive file document, which you can download immediately upon purchase.

Explore Slides inside the Deck:

Six-Phase Framework for AI Strategy Development and Implementation Six-Phase Data Analytics Strategy Framework for Organizational Maturity

This Toolkit was created by ex-McKinsey, Deloitte and BCG Management Consultants. It is considered the world's best & most comprehensive Data Analytics and AI Strategy Toolkit. It includes all the Frameworks, Best Practices & Templates required to design and implement a robust data analytics & AI strategy.

The Toolkit includes: 700 PowerPoint slides + 40 Excel sheets + 65 minutes of video training.

This Toolkit includes frameworks, tools, templates, tutorials, real-life examples, best practices, and video training to help you:
• Define and implement your Data Analytics Strategy: (1) Summary of the Corporate & Business Strategy, (2) Current & Target Data Analytics Maturity Levels, (3) Data Analytics Vision, Mission & Values, (4) Strategic Objectives and KPIs to reach our Vision, (5) Team & Budget, (6) Guiding Principles
• Define and implement your AI Strategy: (1) Summary of the Corporate & Business Strategy, (2) AI Essentials, (3) Current & Target AI Maturity Levels, (4) AI Vision, Mission & Values, (5) Strategic Objectives and KPIs to reach our Vision, (6) Team & Budget, (7) Guiding Principles
• Build your 4 pillars to reach your Data Analytics Strategic Objectives: (1) Data Management & Infrastructure, (2) Data Governance & Compliance, (3) Analytics Tools & Techniques, (4) Data-driven Organization
• Identify the key Technologies to enable your AI Strategy: (1) AI data center, (2) Machine Learning, (3) Deep Learning, (4) Generative AI Chatbots, NLP & Prompt Engineering, (5) Artificial General Intelligence, (6) Cloud Computing
• Identify Use Cases and Potential Initiatives in Data Analytics and AI
• List your potential initiatives in Data Analytics and AI
• Create your business cases and financial models to assess potential initiatives
• Prioritize, plan and implement your projects: (1) Project prioritization, (2) Business roadmap, (3) Governance, (4) Dashboards, (5) Project implementation: agile methodology, design thinking and traditional methodology, (6) Continuous improvement (7) Post program/projects evaluation and lessons learnt
• Define and implement your change management strategy, internal communication strategy, and stakeholder engagement strategy: (1) Change management strategy, (2) Change management plans, (3) Implementation, tracking and progress management, (4) Effective communication

ARTIFICIAL INTELLIGENCE PPT SLIDES

Six-Phase Framework for AI Strategy Development and Implementation

This slide outlines a structured six-phase approach to developing an AI strategy, refined through a decade of iterative testing. Key components include corporate and business strategy, AI essentials, current and target AI maturity levels, vision and mission, strategic objectives with KPIs, team and budget considerations, and guiding principles. Critical technological enablers are identified, including data centers, machine learning, deep learning, generative AI (chatbots, NLP, prompt engineering), general AI, and cloud computing. Practical applications are explored through potential use cases across functions such as sales, marketing, supply chain, customer service, HR, data analytics, finance, IT, legal, and compliance. The slide emphasizes assessing business cases and financial models for project prioritization and business roadmap development, ensuring alignment with strategic goals and resource allocation.

Six-Phase Data Analytics Strategy Framework for Organizational Maturity

This slide outlines a comprehensive data analytics strategy framework, structured in a six-phase approach refined over 2 decades. Key strategic elements include corporate and business strategy, data maturity levels, vision and values, strategic objectives, team and budget considerations, and guiding principles, which align data initiatives with corporate goals. The framework identifies 4 pillars essential for achieving strategic objectives: Data Management & Infrastructure, Data Governance & Compliance, Analytics Tools & Techniques, and Data-driven Organization. Each pillar has specific focus areas, such as data sources, privacy frameworks, statistical methods, and organizational culture. Use cases and initiatives tailored to each pillar suggest practical applications, positioning this framework as a reliable roadmap for organizations aiming to develop mature data analytics capabilities aligned with business needs.

Source: Best Practices in Artificial Intelligence, Analytics PowerPoint Slides: Data Analytics and AI Strategy Toolkit PowerPoint (PPTX) Presentation Slide Deck, Domont Consulting