SFU-016 - Module 5 (Learning Outcomes)

Learning Outcomes

Here are six learning outcomes tailored for the work simulation. These learning objectives are designed to cover a broad range of competencies needed for a Business Intelligence Analyst, helping you to build a strong foundation in marketing intelligence.

Data Collection and Research Skills

Data Analysis and Interpretation

CompetitiveAnalysis

TrendIdentification

Business Recommendations

Reporting and Presentation

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Learning objectives

Detailed breakdown

Here's a breakdown of what's to come in the course.

Preparation Task

Preparation Task

Preparation Task

Research Task

Preparation Task

Analysis Task

(10 minutes)

(10 minutes)

(10 minutes)

(30 minutes)

(10 minutes)

(30 minutes)

Remembering: Identify sources and steps for data collection. Understanding: Define the business question or objective.

Remembering: Identify sources and steps for data collection. Understanding: Define the business question or objective.

Remembering: Identify sources and steps for data collection. Understanding: Define the business question or objective.

Applying: Collect data from various sources. Analysing: Organise and compile the collected data.

Applying: Clean and format the data, and identify key metrics. Analysing: Use visual tools to analyse trends and perform SWOT analysis.

BACK

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Learning objectives

Detailed breakdown

Here's a breakdown of what's to come in the course.

Preparation Task

Create Task

Preparation Task

Document & Present

Preparation Task

Reflection Task

(10 minutes)

(20 minutes)

(10 minutes)

(15 minutes)

(10 minutes)

(10 minutes)

Remembering: Identify sources and steps for data collection. Understanding: Define the business question or objective.

Remembering: Identify sources and steps for data collection. Understanding: Define the business question or objective.

Remembering: Identify sources and steps for data collection. Understanding: Define the business question or objective.

Creating: Develop insights and actionable recommendations based on data analysis. Evaluating: Assess the findings and provide recommendations.

Evaluating: Reflect on the learning experience and its application. Understanding: Consider how the exercise enhanced skills and identify areas for further improvement.

Creating: Compile a detailed report and prepare a presentation. Evaluating: Share and get feedback to improve the final output.

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Learning objectives

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!

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Reporting and Presentation

Improve skills in compiling comprehensive reports and creating engaging presentations that clearly communicate analysis, findings, and recommendations to stakeholders.

Business Recommendations

Develop the ability to synthesise data findings into actionable business insights and strategic recommendations that can inform business decisions.

Competitive Analysis

Learn to perform in-depth competitor analysis, identifying key players, their market strategies, strengths, and weaknesses.

Data Analysis and Interpretation

Enhance proficiency in using data analysis tools (e.g., Excel, Google Sheets, Tableau) to clean, organise, and interpret market intelligence data effectively.

Trend Identification

Gain skills in recognizing and visualising market trends, customer behaviours, and emerging opportunities using data visualisation techniques.

Data Collection and Research Skills

Develop the ability to identify, source, and gather relevant market intelligence data from various online resources and databases.