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CMI Unit: 318 - Managing Data and Information

The unit "318 Managing Data and Information" is designed to provide a comprehensive understanding of data and information management within an organisational context. The unit aims to equip learners with the knowledge required to collect, manage, interpret, and communicate data effectively. Understanding data management principles enables organisations to make informed decisions, improve operational efficiency, and maintain compliance with legal and organisational requirements.

The unit is particularly relevant for managers and aspiring professionals who need to develop their data-handling skills to drive business success. Effective data management ensures organisations can track progress, identify trends, and create strategies based on factual insights. Moreover, learners will understand the impact of structured data on decision-making, risk management, and business intelligence.

By completing this unit, learners will gain proficiency in different data types, sources, and usage methods. They will also explore challenges in data management and the solutions that ensure compliance, security, and accuracy. The ability to interpret and communicate findings effectively will empower managers to use data-driven insights for strategic planning and operational improvements.

Unit Objectives

The key objectives of CMI Unit 318 Managing Data and Information include:

• To equip learners with a foundational understanding of why data is collected and its significance in organisational success.
• To develop knowledge about different types of data and their applications within a business environment.
• To ensure learners can manage data effectively while adhering to legal and organisational requirements.
• To enable learners to interpret data insights and communicate findings using appropriate tools and techniques.

Learning Outcomes

The following learning outcomes define the key competencies developed in this unit:

LO1: Understand reasons for collecting data/information.

Learners will explore why organisations collect data and information and how it contributes to achieving strategic objectives. They will examine various business functions that rely on accurate data, such as customer insights, market analysis, and performance measurement.

LO2: Know types and uses of data/information.

This outcome focuses on the distinction between data and information and how they are utilised within an organisation. Learners will assess primary and secondary data sources and evaluate the effectiveness of quantitative and qualitative data in decision-making.

LO3: Know how to manage data/information.

Learners will examine data management practices, including compliance with legal and organisational policies. They will identify key roles and responsibilities in data handling and explore best practices for data validation, organisation, and storage.

LO4: Know how to interpret and communicate findings.

This outcome ensures learners develop the ability to analyse and interpret data using structured methods. They will assess different communication tools and their effectiveness in presenting data-driven insights to stakeholders.

Assessment Criteria

The assessment criteria for Unit 318 Managing Data and Information are aligned with the learning outcomes:

LO1: Understand reasons for collecting data/information.

• 1.1 Explain reasons organisations collect data/information.

LO2: Know types and uses of data/information.

• 2.1 Explain differences between data and information.
• 2.2 Discuss sources of primary/secondary data.
• 2.3 Explain types and uses of quantitative/qualitative data.

LO3: Know how to manage data/information.

• 3.1 Explain legal/organisational requirements for managing data.
• 3.2 Identify roles/responsibilities in data management.
• 3.3 Outline approaches for checking data against needs.
• 3.4 Discuss methods to organise data.
• 3.5 Outline challenges of managing data.
• 3.6 Identify solutions to data management challenges.

LO4: Know how to interpret and communicate findings.

• 4.1 Summarise methods for interpreting data.
• 4.2 Explain advantages/disadvantages of communication tools.

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