MODULE 1: DATA GOVERNANCE AND MANAGEMENT
Topics:

Mapped to:

K1 Data management structures
A1 Define data management structures to align and streamline processes of data ownership, retrieval, combination and usage
A4 Introduce relevant standards and tools that can be applied to the management and treatment of critical data

Rationale for Sequencing of the Units

The first learning unit gives the learner an overview of data strategy, to leverage data to make better business decisions through data management and usage while adhering to data governance regulations and policies.
Learners are taught data management approaches and frameworks for data architecture, data storage, data operations.

MODULE 2: DATA STORAGE, SHARING, UTILISATION, HANDLING AND MANAGEMENT
Topics:

Capturing, retention and utilisation of critical data
Guidelines for effective storage, sharing and publishing within the organization
Corporate Standard Operating Procedures (SOP), protocols and standards for data management, sourcing, handling and treatment
Pre-mortem analysis on existing data management practice.

Mapped to:

K2 Information handling approaches
K5 Internal and external information management guidelines and rules
A2 Plan processes for effective data storage, sharing and utilisation within the organisation
A5 Identify gaps, inefficiencies and potential risks in existing data management processes
A6 Propose enhancements or modifications to data handling procedures

Rationale for Sequencing of the Units

Subsequently, the next learning unit, learners are taught the data lifecycle and information handling.
Learners begin to look at developing a data strategy.
Learners are taught information handling approaches and data management guidelines.
Learners are taught how to plan processes to ensure data stays reliable, have SOP and protocols for data management, data security and data privacy.
Learners are taught how to analyse existing data management processes to identify gaps, inefficiencies and potential risks as well as propose enhancements to data handling procedures to mitigate the issues identified.

MODULE 3: COMPLIANCE AND ADVISORY
Topics:

Monitor adoption and adherence to data policies and information architectures
Advisory support to overall data management process and standards to ensure greater adoption and with risk balancing

Mapped to:

K3 Data management standards and tools
K4 Typical protocols in information asset management
A7 Establish internal processes to monitor compliance of information or data handling and access requests with approved procedures
A8 Provide ongoing advice to ensure proper adoption of and adherence to data policies and information architectures

Rationale for Sequencing of the Units

In this final learning unit, learners are taught how to execute data strategy in the organisation through establishing internal processes to monitor adoption and compliance.
Learners are also taught how to provide advisory support to ensure proper adoption of and adherence to data policies and information architectures with a risk balancing approach.

DNA-102: Enterprise Data Management