In the ever-evolving landscape of data, the ability to harness information effectively stands as the bedrock of organizational success. Introducing our comprehensive training program, "Enterprise Data Management," meticulously crafted for learners aspiring to champion effective data management structures and drive organizational excellence. Whether you're an individual seeking to upskill or a company aiming to optimize data handling, this program is your key to revolutionizing the way you store, manage, and utilize critical data.

Crafting Effective Data Management Structures: Gain mastery over data management structures that align and streamline processes of data ownership, retrieval, combination, and usage. The program provides you with the tools to define structures that optimize your data landscape.
Strategizing Data Storage and Utilization: Plan processes for effective data storage, sharing, and utilization within your organization. Unlock the potential of your data by learning how to implement strategies that enhance accessibility, sharing, and usage.
Ensuring Compliance with Legislation: Stay ahead of compliance challenges by updating policies, standards, and procedures on data management. Learn how to ensure that your data practices align with relevant legislation, minimizing risks and ensuring legal adherence.
Applying Standards and Tools: Introduce relevant standards and tools that can be applied to the management and treatment of critical data. From industry standards to cutting-edge tools, the program equips you with the knowledge to optimize your data management toolkit.

Training Duration: 4 Days

SBL-Khas Claimable
Certificate Of Completion Available
Private In-House Class Available
ILT & VILT Class Available

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DC-EDM: Enterprise Data Management

RM7,500.00

RM6,500.00

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 utilization 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
No prerequisites.
Individuals actively engaged in the field of data analytics.
Module 1:   Data Governance And Management

Data management approaches and frameworks

Internal and external information regulation policies and requirements

Establishing the organisation’s data management office

Module 2:   Data Storage, Sharing, Utilization, Handling And Management

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.

Module 3:   Compliance And Advisory

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

DC-EDM: Enterprise Data Management

OVERVIEW

OBJECTIVES

PREREQUISITES

AUDIENCE

COURSE MODULES

Private in-house class enquiry

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