The British Academy for Training and Development offers Analytics and AI for Strategic Management training course. Analytics and AI for Strategic Management training empowers attendees with the skills and knowledge needed to leverage analytics and artificial intelligence (AI) in a strategic decision process. This training course will take a holistic journey into the core analytical constructs and how AI can be incorporated into strategic management, as well as how to process data into actionable insights. The course ensures that the user can process reality using AI for scenario planning and risk analysis, translating complex data insights into practical recommendation actions for improved data-driven decisions toward organisational success.

This Analytics and AI for Strategic Management training can be attended by a whole range of professionals from senior business executives to business analysts and consultants. All of them are encouraged to take a dive into the magical world of data analytics and AI under strategic planning. By the end of this course, attendees will emerge data-savvy leaders, with strategic skills that include analysing complex datasets, critical thinking, and being able to communicate data-driven strategies. On a personal and organisational level, the course provides the advantages of decision-making, resource allocation, and market competitiveness, enhancing innovation and growth. 

By the end of this course, attendees will be able to:

• Understand the main principles of analytics and how they can be used for strategic decisions.

• Examining AI and its potential for automatic strategic management, trend foreseeing, and competition analysis.

• Being able to identify and analyse relevant data for strategic initiatives.

• Developing an ability to convert data analysis into action on a strategic basis.

• Become proficient in scenario planning and risk evaluation with the help of AI technologies.

• Effectively convey the significance and results of strategies based on data analysis.

Who Should Attend?

This course is ideal for:

• Corporate Strategists and Business Planners who wish to get data analytics and AI tools in achieving long-term horizon objectives.

• Senior Management and Decision Makers who want to lead the company in digital transformation and enhanced enterprise data-based decision-making.

• Data Analysts and Business Intelligence Professionals who would like to make their analytical expertise strategic to a business goal.

• IT Managers and Innovation Champions for whom AI implementation has the direct intent to serve business strategy.

• Consultants and Advisors whose major mandate is to liaise with the organisations in transformative changes in digital and strategic domains.

• Policy makers and Government Officials, those have to understand the strategic implications of AI for public and economic development.

• There is no advanced technical requirement, though a basic business knowledge and strategic planning process would increase the engagement of course materials.

  How will attendees benefit?

  This training course becomes a great platform for attendees to sharpen how analytics and AI can add competitive value to their strategic decision-making. In particular, they will be trained to read big data sets, pull out worthwhile business insights, and link them to business strategies for performance enhancement and future readiness. This has enabled them to step aside from intuition and find their way into decision-making based on measurable outcomes.

  Strategists will become capable of integrating AI technologies into the business setting for the long-term benefit of enterprise operations, the support of automation, and predictive tools towards achievement. Risk analysis, forecasting customer behavior, and identifying market trends have become stronger domains to stay ahead of fast-changing business landscapes. 

  They can now lead data-led transformational change programmes, be influential in helping decisions on resource allocation to optimise costs, and enhance operational efficiency. They will be action-oriented big thinkers in the areas of digital strategy and innovation.

Introduction to Data-Driven Strategy

• Define the core principles of strategic management in today's business landscape.

• Explore real-world examples of how data has transformed decision-making across industries.

• Demystify data analytics and AI: understand their key concepts and applications in strategy.

• Discuss the ethical considerations of using data and AI in strategic management.

• Identify the challenges and opportunities associated with data-driven strategy.

Mastering Data Analysis for Strategy

• Explore various data collection techniques, including internal data sources, market research, and customer surveys.

• Discover best data exploration and cleaning practices to ensure data quality and accuracy.

• Learn powerful data visualization techniques to communicate insights to stakeholders effectively.

• Identify key performance indicators (KPIs) that align with your strategic objectives.

• Leverage data dashboards and reporting tools for ongoing performance monitoring.

Leveraging AI in Strategic Management

• Uncover the different AI technologies relevant to strategic management (e.g., machine learning, natural language processing).

• Explore how AI can be used for market analysis, including customer segmentation and trend forecasting.

• Discover AI-powered tools for competitor intelligence, allowing you to stay ahead of the curve.

• Learn how AI can facilitate scenario planning by simulating future market conditions and potential outcomes.

• Discuss the limitations of AI and the importance of human oversight in strategic decision-making.

Risk Assessment and Data-Driven Decisions

• Identify and assess potential strategic risks using a data-driven approach.

• Develop strategies to mitigate identified risks and ensure business continuity.

• Learn to build data-driven decision models that inform your strategic choices.

• Explore AI-powered tools that can assist in risk assessment and decision support.

• Discuss frameworks for data-driven decision-making and how to integrate them into your strategic planning process.

Implementing Analytics and AI for Strategic Success

• Develop effective communication strategies for presenting data-driven recommendations to stakeholders.

• Learn how to integrate AI and analytics tools seamlessly into your strategic planning process.

• Explore methods for measuring.