Day 1: Fundamentals of Innovation and Data-Driven Decision Making
Objectives:
- Understand the concept of innovation and its role in organizational decision-making.
- Learn the importance of data in supporting innovation and decision-making.
- Explore modern data analysis techniques and tools.
Topics:
- Concept of Innovation and Importance of Data-Driven Decisions
- Defining innovation and its types (product, service, process innovation).
- The relationship between innovation and organizational decision-making.
- How data can support making innovative decisions.
- Types of Data and Their Uses in Decision Making
- Difference between descriptive, diagnostic, and predictive data.
- How to collect and analyze data to derive valuable insights.
- Using data to enhance innovation strategies.
- Modern Data Analysis Techniques
- Descriptive, diagnostic, and predictive analytics techniques.
- Modern data analysis tools: artificial intelligence, machine learning, big data analytics.
- How to integrate these tools in making strategic innovative decisions.
Day 2: Using Data and Modern Technologies to Enhance Innovation
Objectives:
- Learn how to use data and modern technologies to foster innovation.
- Explore how to leverage AI and data analytics to develop innovative solutions.
- Apply predictive analysis techniques to forecast future trends.
Topics:
- Role of Artificial Intelligence in Innovation and Decision Making
- How AI contributes to discovering new solutions and improving processes.
- Examples of AI applications across various sectors.
- Strategies for using AI to drive innovation in business.
- Big Data Analytics to Support Innovation
- Definition of big data and how to manage it.
- Strategies for using big data in research and development.
- How to turn big data into strategic, innovative insights.
- Forecasting Future Trends Using Data
- Predictive techniques using data: statistical analysis, machine learning.
- How forecasting future trends can enhance innovation and improve decision-making.
- Tools for trend forecasting and analysis.
Day 3: Applying Innovation and Data-Driven Decision Making in Practice
Objectives:
- Learn how to apply innovation and data-driven decision making in everyday work.
- Develop innovative data-driven strategies to improve organizational performance.
- Use modern data tools to evaluate the results of innovation and decision-making.
Topics:
- Applying Data-Driven Innovation in Organizations
- How to integrate innovation into the organizational culture.
- Strategies to create an environment that supports innovative decision-making.
- Techniques for applying innovation in different organizational functions (finance, marketing, operations).
- Developing Innovative Solutions Using Data
- How to use data analytics to improve operational performance and decision-making.
- Applying data analysis tools to develop new, sustainable solutions.
- How to build data-driven decision-making models.
- Measuring the Impact of Innovation and Data-Driven Decisions
- How to measure the success of data-supported innovation.
- Using Key Performance Indicators (KPIs) to assess innovation outcomes.
- Analyzing the impact of innovation and data-driven decisions on organizational results.