SFU-017 - Module 2 (Learning Objectives)
Springpod Team
Created on September 17, 2024
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Transcript
Learning Objectives
During this module we'll outline the key concepts you need to understand before starting the simulation. We'll also cover the goals you should aim to achieve, ensuring you're well-prepared for the tasks ahead.
Remembering
Understanding
Applying
Analysing
Evaluating
- Explain the importance of marketing intelligence in making data-driven business decisions.
- Describe the key metrics relevant to a business question or objective within a market segment.
- Organise collected data into a single document and ensure it is clean and formatted correctly.
- Analyse trends using graphs and charts to visualise market trends, customer behaviour, and competitor strategies.
- Perform a SWOT analysis for the chosen market segment based on the collected data.
- Assess the quality and relevance of the data collected.
- Evaluate the strengths, weaknesses, opportunities, and threats within the chosen market segment.
- Provide actionable recommendations based on the analysis to leverage marketing intelligence.
- Summarise key findings from the data analysis, highlighting important trends and potential opportunities or threats.
- Develop a detailed report and a presentation summarising the key findings and recommendations.
- Reflect on the learning experience and consider how insights gained can be applied to real-world business decisions and how skills can be further improved.
- Select a specific market segment or industry and a key business question to address.
- Collect and compile data from various sources, including market reports, competitor analysis, and customer insights.
- Use tools like Google Trends, Excel, or Tableau to gather and analyse data.
- Identify key sources for market reports and competitor information (e.g., Statista, Nielsen, industry-specific publications).
- List the steps involved in collecting and analysing marketing intelligence data.
Creating
NEXT
Detailed breakdown
Here's a breakdown of what's to come in the course.
Learning objectives
Remembering: Identify sources and steps for data collection. Understanding: Define the business question or objective.
Preparation Task
(10 minutes)
Remembering: Identify sources and steps for data collection. Understanding: Define the business question or objective.
Preparation Task
(10 minutes)
Remembering: Identify sources and steps for data collection. Understanding: Define the business question or objective.
Preparation Task
(10 minutes)
Applying: Collect data from various sources.Analysing: Organise and compile the collected data.
Research Task
(30 minutes)
Remembering: Identify sources and steps for data collection. Understanding: Define the business question or objective.
Preparation Task
(10 minutes)
Applying: Clean and format the data, and identify key metrics.Analysing: Use visual tools to analyse trends and perform SWOT analysis.
Analysis Task
(30 minutes)
BACK
NEXT
Remembering: Identify sources and steps for data collection. Understanding: Define the business question or objective.
Preparation Task
(10 minutes)
Creating: Develop insights and actionable recommendations based on data analysis.Evaluating: Assess the findings and provide recommendations.
Create Task
(20 minutes)
Remembering: Identify sources and steps for data collection. Understanding: Define the business question or objective.
Preparation Task
(10 minutes)
Creating: Compile a detailed report and prepare a presentation.Evaluating: Share and get feedback to improve the final output.
Document & Present
(15 minutes)
Remembering: Identify sources and steps for data collection. Understanding: Define the business question or objective.
Preparation Task
(10 minutes)
Evaluating: Reflect on the learning experience and its application.Understanding: Consider how the exercise enhanced skills and identify areas for further improvement.
Reflection Task
(10 minutes)
BACK
Detailed breakdown
Here's a breakdown of what's to come in the course.
Learning objectives
NEXT
Conclusion
By the end of this activity, you will have gained practical experience in collecting and analysing marketing intelligence data, understanding how to make data-driven business decisions, and improving your analytical skills. This activity leverages accessible tools and methods, ensuring it is practical and feasible within the given timeframe.Now that you're all prepped, mark this section as complete and let's make a start on the simulation module!
BACK
Learning objectives