Asset Digitalization

Course Overview

New technological advancements are reshaping the planet on an unprecedented scale. The current development of automation and data sharing technology is referred to as “Industry 4.0.”

Asset management will unavoidably be shaped by disruptive technologies such as Artificial Intelligence, the Internet of Things, the most recent mobile solutions, blockchain, and cryptocurrencies. People are evolving, they become more mobile-friendly, and social media has become a significant part of their daily routine. As a result, they anticipate that the asset management business will be modernized as well.

Digitalization has influenced the finance sector especially the digitalization of asset management such as the acquisition, management, and sale of assets in the most profit-making way possible have witnessed the most rapid progress. For example, keeping personal data on cloud or drive, having investment in cryptocurrencies, and confidential document also slowly switch and keep online.

This course examines how to imply digitalization on asset management in our daily life. Asset digitalization included practice to have an asset relocation, a better measure of asset management, a promise of asset protection and guaranteed asset value.

  • To increase asset digitalization knowledge.
  • To understand the impact of digitalization on asset management.
  • To generate ideas, thoughts, and recommendations for asset digitalization.
  • Understanding the integration and collaboration of digital tools on asset management.
  • Knowing to analyze and allocate available data to gain an advantage.

By the end of the course, participant will be able to

  • Define and explain asset digitalization.
  • Describe, evaluate, and communicate the impact of digitalization on asset management.
  • Apply basic concepts, terminology, practices, and applications of digital asset management.
  • Use digital tools for asset management.
  • Identify and analyze data provided.
  • Assess the current state of Asset Management best practices
Overview

Digitalization has influenced the finance sector especially the digitalization of asset management such as the acquisition, management, and sale of assets in the most profit-making way possible have witnessed the most rapid progress. For example, keeping personal data on cloud or drive, having investment in cryptocurrencies, and confidential document also slowly switch and keep online.

This course examines how to imply digitalization on asset management in our daily life. Asset digitalization included practice to have an asset relocation, a better measure of asset management, a promise of asset protection and guaranteed asset value.

Objectives
  • To increase asset digitalization knowledge.
  • To understand the impact of digitalization on asset management.
  • To generate ideas, thoughts, and recommendations for asset digitalization.
  • Understanding the integration and collaboration of digital tools on asset management.
  • Knowing to analyze and allocate available data to gain an advantage.
Outcomes

By the end of the course, participant will be able to

  • Define and explain asset digitalization.
  • Describe, evaluate, and communicate the impact of digitalization on asset management.
  • Apply basic concepts, terminology, practices, and applications of digital asset management.
  • Use digital tools for asset management.
  • Identify and analyze data provided.
  • Assess the current state of Asset Management best practices

Details

Share:
PROGRAM SKIM:

HRDCorp Claimable Course SBL-KHAS
TRAINING PROGRAM NO.:

10001169525
TOTAL TRAINING HOURS:

6 Hours
TOTAL TRAINING MODULES:

6
MAIN SPEAKER:

Dr. Kevin Ng
TARGET ATTENDEES:

Business Owner| C-Level Executive| IT Professionals & Entrepreneur
PROGRAM LEVEL:

Entry-level

Looking for

More Course Details?

Other Courses

  • If You Are HRDF Employer, Click to Apply Grant
IFTAcademy is the Humanizing Education Hub with outstanding talents and modern philosophy. IFTAcademy consists of a group of talented mentors who are expert in the market trend analysis and global economic ecosystem.