DNA-102: Enterprise Data Management

Name: DNA-102: Enterprise Data Management
Brand: DNA Capitals

RM6,000.00

RM4,500.00

Gain the knowledge and skills necessary to develop effective data management structures and recommend policies, processes, and tools for efficient data storage, handling, and utilization. Learn about data management approaches, information regulation policies, data governance, and the establishment of a data management office. Acquire expertise in data storage, sharing, utilization, and handling, along with the identification of gaps and inefficiencies in existing data management processes.

Enhance your ability to monitor compliance, provide ongoing advice, and ensure the proper adoption of data policies and information architectures. Be prepared to optimize data management practices and mitigate potential risks for organizational success.

Training Duration: 3 Days

Certificate Of Completion Available
Group Private Class
VILT Class Available
SBL-Khas Claimable

Download Course Outline

This programme is created specifically for learners who wish to develop data management structures and recommend policies, processes and tools for effective data storage, handling and utilization
Data management structures

Information handling approaches

Data management standards and tools

Typical protocols in information asset management

Internal and external information management guidelines and rules

Define data management structures to align and streamline processes of data ownership, retrieval, combination and usage

Plan processes for effective data storage, sharing and utilisation within the organisation

Update policy, standards and procedures on data management for compliance with relevant legislation

Introduce relevant standards and tools that can be applied to the management and treatment of critical data

Identify gaps, inefficiencies and potential risks in existing data management processes

Propose enhancements or modifications to data handling procedures

Establish internal processes to monitor compliance of information or data handling and access requests with approved procedures

Provide ongoing advice to ensure proper adoption of and adherence to data policies and information architecture
MODULE 1: DATA GOVERNANCE AND MANAGEMENT
Topics:

Data management approaches and frameworks

Internal and external information regulation policies and requirements

Establishing the organisation’s data management office

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.