Requirements

• For a better learning experience
• we suggest you to use a laptop / mobile phone / pen and paper for taking notes
• highlighting important points
• and making summaries to reinforce your learning.

Description

Welcome to Program: Data Based Decision Making and Cost-Benefit Analysis by MTF Institute

Course provided by MTF Institute of Management, Technology and Finance

MTF is the global educational and research institute with HQ at Lisbon, Portugal, focused on business & professional hybrid (on-campus and online) education at areas: Business & Administration, Science & Technology, Banking & Finance.

MTF R&D center focused on research activities at areas: Artificial Intelligence, Machine Learning, Data Science, Big Data, WEB3, Blockchain, Cryptocurrency & Digital Assets, Metaverses, Digital Transformation, Fintech, Electronic Commerce, Internet of Things.

MTF is the official partner of: IBM, Intel, Microsoft, member of the Portuguese Chamber of Commerce and Industry.

MTF is present in 215 countries and has been chosen by more than 707 000 students.

Course Author:

Dr. Alex Amoroso is a seasoned professional with a rich background in academia and industry, specializing in research methodologies, strategy formulation, and product development. With a Doctorate Degree from the School of Social Sciences and Politics in Lisbon, Portugal, where she was awarded distinction and honour for her exemplary research, Alex Amoroso brings a wealth of knowledge and expertise to the table.

In addition to her doctoral studies, Ms. Amoroso has served as an invited teacher, delivering courses on to wide range of students from undergraduate level to business students of professional and executives courses. Currently, at EIMT in Zurich, Switzerland, she lectures for doctoral students, offering advanced instruction in research design and methodologies, and in MTF Institute Ms. Amoroso is leading Product Development academical domain.

In synergy between academical and business experience, Ms. Amoroso achieved high results in business career, leading R&D activities, product development, strategic development, market analysis activities in wide range of companies. She implemented the best market practices in industries from Banking and Finance, to PropTech, Consulting and Research, and Innovative Startups.

Alex Amoroso's extensive scientific production includes numerous published articles in reputable journals, as well as oral presentations and posters at international conferences. Her research findings have been presented at esteemed institutions such as the School of Political and Social Sciences and the Stressed Out Conference at UCL, among others.

With a passion for interdisciplinary collaboration and a commitment to driving positive change, Alex Amoroso is dedicated to empowering learners and professionals for usage of cutting edge methodologies for achieving of excellence in global business world.

What is Data-Based Decision Making?

• Using data to guide business choices instead of intuition.

• Involves collecting, analysing, and interpreting data.

• Enhances accuracy, efficiency, and strategic planning.

• Applied across industries: marketing, finance, operations, etc.

Why Data Matters in Management

• Enables evidence-based decision-making.

• Reduces risks and uncertainty.

• Improves efficiency and resource allocation.

• Supports performance measurement and growth strategies.

The Role of Data in Strategic Leadership

• Informs long-term business goals and planning.

• Helps leaders anticipate market trends and risks.

• Enhances competitive advantage through insights.

• Strengthens accountability and performance evaluation.

Key Benefits & Challenges of Data-Driven Decision Making

Benefits:

• Increases accuracy and efficiency.

• Identifies trends and opportunities.

• Enhances customer insights and personalisation.

Challenges:

• Data overload and complexity.

• Requires proper tools and expertise.

• Ethical and privacy concerns in data usage.

Developing expertise in Data-Based Decision Making and Cost-Benefit Analysis (CBA) is crucial for companies in competitive landscape. Here's why:

Importance for Companies:

• Improved Decision Making: Data-based decision making replaces gut feelings and assumptions with concrete evidence. By analyzing data, companies can identify trends, patterns, and insights that lead to more informed and effective decisions. This reduces risks and increases the likelihood of positive outcomes.

• Enhanced Efficiency and Productivity: CBA helps companies evaluate the costs and benefits of different projects, initiatives, or strategies. This ensures that resources are allocated efficiently and that investments are made in areas that provide the greatest return. By optimizing resource allocation, companies can improve productivity and profitability.

• Competitive Advantage: Companies that effectively utilize data and CBA gain a competitive edge. They can identify market opportunities, understand customer preferences, and develop innovative products or services that meet market demands. This allows them to stay ahead of the competition and capture a larger market share.

• Risk Management: Data analysis helps companies identify potential risks and challenges. By understanding the factors that can impact their operations, they can develop strategies to mitigate risks and minimize negative consequences. This ensures business continuity and resilience.

• Innovation and Growth: Data-driven insights can spark innovation and drive business growth. By analyzing customer feedback, market trends, and emerging technologies, companies can identify new opportunities for product development, market expansion, or process improvement. This fosters a culture of innovation and enables sustainable growth.

Support in Building a Career for Managers and Experts:

• Increased Employability: Managers and experts with expertise in data-based decision making and CBA are in high demand across industries. These skills are highly valued by employers as they demonstrate the ability to make informed decisions, optimize resource allocation, and drive business growth.

• Career Advancement: Developing these skills can accelerate career advancement. Managers who can effectively use data to support their decisions are more likely to be recognized for their contributions and promoted to higher positions.

• Enhanced Credibility: Expertise in data analysis and CBA enhances the credibility of managers and experts. When they can back up their recommendations with data and rigorous analysis, their opinions are more likely to be respected and their ideas adopted.

• Leadership Potential: Data-based decision making and CBA are essential skills for effective leadership. Leaders who can analyze data, assess risks, and make informed decisions are better equipped to guide their teams and organizations towards success.

• Higher Earning Potential: Managers and experts with these skills often command higher salaries. Their ability to drive business value through data-driven insights makes them valuable assets to companies, leading to increased earning potential.

In conclusion, developing expertise in Data-Based Decision Making and Cost-Benefit Analysis is essential for both companies and individuals. Companies benefit from improved decision making, enhanced efficiency, and a competitive advantage, while managers and experts gain increased employability, career advancement, and higher earning potential.

Who this course is for:

• No special requirements. A course for anyone who wants to build career in management and business
• What is Data-Based Decision Making? Using data to guide business choices instead of intuition. Involves collecting
• analysing
• and interpreting data. Enhances accuracy
• efficiency
• and strategic planning. Applied across industries: marketing
• finance
• operations
• etc.
• Why Data Matters in Management Enables evidence-based decision-making. Reduces risks and uncertainty. Improves efficiency and resource allocation. Supports performance measurement and growth strategies.
• The Role of Data in Strategic Leadership Informs long-term business goals and planning. Helps leaders anticipate market trends and risks. Enhances competitive advantage through insights. Strengthens accountability and performance evaluation.
• Key Benefits & Challenges of Data-Driven Decision Making Benefits: Increases accuracy and efficiency. Identifies trends and opportunities. Enhances customer insights and personalisation. Challenges: Data overload and complexity. Requires proper tools and expertise. Ethical and privacy concerns in data usage.
• Importance for Companies: Improved Decision Making: Data-based decision making replaces gut feelings and assumptions with concrete evidence. By analyzing data
• companies can identify trends
• patterns
• and insights that lead to more informed and effective decisions. This reduces risks and increases the likelihood of positive outcomes. Enhanced Efficiency and Productivity: CBA helps companies evaluate the costs and benefits of different projects
• initiatives
• or strategies. This ensures that resources are allocated efficiently and that investments are made in areas that provide the greatest return. By optimizing resource allocation
• companies can improve productivity and profitability. Competitive Advantage: Companies that effectively utilize data and CBA gain a competitive edge. They can identify market opportunities
• understand customer preferences
• and develop innovative products or services that meet market demands. This allows them to stay ahead of the competition and capture a larger market share. Risk Management: Data analysis helps companies identify potential risks and challenges. By understanding the factors that can impact their operations
• they can develop strategies to mitigate risks and minimize negative consequences. This ensures business continuity and resilience. Innovation and Growth: Data-driven insights can spark innovation and drive business growth. By analyzing customer feedback
• market trends
• and emerging technologies
• companies can identify new opportunities for product development
• market expansion
• or process improvement. This fosters a culture of innovation and enables sustainable growth.
• upport in Building a Career for Managers and Experts: Increased Employability: Managers and experts with expertise in data-based decision making and CBA are in high demand across industries. These skills are highly valued by employers as they demonstrate the ability to make informed decisions
• optimize resource allocation
• and drive business growth. Career Advancement: Developing these skills can accelerate career advancement. Managers who can effectively use data to support their decisions are more likely to be recognized for their contributions and promoted to higher positions. Enhanced Credibility: Expertise in data analysis and CBA enhances the credibility of managers and experts. When they can back up their recommendations with data and rigorous analysis
• their opinions are more likely to be respected and their ideas adopted. Leadership Potential: Data-based decision making and CBA are essential skills for effective leadership. Leaders who can analyze data
• assess risks
• and make informed decisions are better equipped to guide their teams and organizations towards success. Higher Earning Potential: Managers and experts with these skills often command higher salaries. Their ability to drive business value through data-driven insights makes them valuable assets to companies
• leading to increased earning potential.
• In conclusion
• developing expertise in Data-Based Decision Making and Cost-Benefit Analysis is essential for both companies and individuals. Companies benefit from improved decision making
• enhanced efficiency
• and a competitive advantage
• while managers and experts gain increased employability
• career advancement
• and higher earning potential.