Data-Driven Decision Making for Executives

Duration: 7 Days
Target Audience: Senior executives, decision-makers, and business leaders
Certificate: Certificate of Completion in Data-Driven Decision Making
Format: Hybrid (Online/In-Person)

Day 1: Introduction to Data-Driven Decision Making

• Objective: Understand the fundamentals of data-driven decision-making and its strategic importance in today’s business environment.

Topics:

• What is Data-Driven Decision Making? An Overview

• The Role of Data in Executive Strategy and Operations

• Data Literacy for Leaders: Essential Concepts and Terminology

• Interactive Session: Assessing data-driven capabilities in participants’ organizations

Learning Activities:

• Lecture: Introduction to the principles and benefits of data-driven decision-making

• Case Study: Organizations that effectively used data to transform their decision-making processes

• Workshop: Participants evaluate the data maturity and readiness of their organizations

Day 2: Understanding Data Analytics and Key Metrics

• Objective: Familiarize participants with data analytics, key performance indicators (KPIs), and metrics relevant to executive decision-making.

Topics:

• Types of Data Analytics: Descriptive, Predictive, and Prescriptive

• Identifying and Selecting KPIs for Business Strategy

• Data Quality and Reliability: Ensuring Accuracy in Decision-Making

• Interactive Session: Choosing KPIs that align with organizational goals

Learning Activities:

• Lecture: Overview of analytics types and the importance of accurate data

• Case Study: Examples of effective KPI selection in diverse industries

• Workshop: Participants define relevant KPIs and metrics for their organizations

Day 3: Data Collection, Sources, and Data Management

• Objective: Learn best practices for data collection, sourcing, and management to ensure relevant and actionable insights.

Topics:

• Sources of Data: Internal, External, Structured, and Unstructured

• Data Management and Storage Solutions

• Data Privacy, Security, and Compliance

• Interactive Session: Designing a data collection and management plan

Learning Activities:

• Lecture: Effective data collection methods and sources

• Case Study: Organizations with robust data management practices

• Workshop: Participants create a plan for data collection and management tailored to their organizational needs

Day 4: Tools and Technologies for Data Analysis

• Objective: Explore data analysis tools and technologies that can support executives in data-driven decision-making.

Topics:

• Overview of Data Analysis Tools: From Spreadsheets to Advanced Analytics Platforms

• Introduction to Business Intelligence (BI) Software

• Leveraging Data Visualization for Better Decision-Making

• Interactive Session: Selecting data analysis tools suited to participants’ organizations

Learning Activities:

• Lecture: Introduction to popular data analysis tools and visualization techniques

• Case Study: Companies using BI tools to improve strategic decision-making

• Workshop: Participants explore and choose data tools relevant to their decision-making needs

Day 5: Building Predictive Models and Scenarios for Decision-Making

• Objective: Learn how to build predictive models and use scenario planning to anticipate future outcomes and make proactive decisions.

Topics:

• Predictive Analytics: Tools for Forecasting and Trend Analysis

• Scenario Planning: Preparing for Multiple Possible Futures

• Using Data to Support Strategic Planning and Risk Management

• Interactive Session: Creating a basic predictive model and scenario analysis

Learning Activities:

• Lecture: Techniques for building predictive models and planning scenarios

• Case Study: How predictive models have been used to guide strategic decisions

• Simulation: Participants create sample predictive models and scenario analyses

Day 6: Implementing Data-Driven Decisions and Monitoring Outcomes

• Objective: Understand how to implement data-driven decisions and track their impact to refine future decision-making.

Topics:

• Integrating Data Insights into Organizational Strategy

• Monitoring and Adjusting Decisions Based on Data Feedback

• Challenges in Implementing Data-Driven Decisions

• Interactive Session: Developing a data-driven implementation and monitoring plan

Learning Activities:

• Lecture: Strategies for implementing and monitoring data-informed decisions

• Case Study: Organizations that effectively monitored and adapted their strategies based on data

• Workshop: Participants develop a plan to implement and monitor a data-driven decision in their organizations

Day 7: Capstone Project: Developing a Data-Driven Strategy

• Objective: Synthesize the course learnings into a capstone project that involves developing a comprehensive data-driven decision-making strategy.

Topics:

• Creating a Data-Driven Strategy for Organizational Growth

• Presenting Data Strategies to Stakeholders

• Peer Review and Feedback

• Certificate Ceremony and Key Takeaways

Learning Activities:

• Capstone Project: Participants develop and present a data-driven strategy tailored to their organization

• Peer Review: Teams provide feedback on each other’s strategies

• Certificate Ceremony: Award certificates of completion

Key Features of the Course:

• Expert Faculty: Delivered by data analysts, BI experts, and senior executives experienced in data-driven strategy.

• Hands-On Learning: Includes practical workshops, simulations, and case studies to reinforce concepts.

• Capstone Project: Participants leave with a data-driven decision-making strategy for their organization.

• Certification: Recognized certificate of completion, demonstrating proficiency in data-driven decision-making.

Outcome:

Participants will gain the skills to leverage data analytics for strategic decision-making, improve organizational outcomes, and foster a culture of data-driven insights within their teams