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Digital Transformation
The application and exploitation of digital technology to radically rethink org business and operational models
Digital Innovation:
The application of digital technologies by existing org to create new improved products, processes, or services
Digital Entrepreneurship:
the creation of new economic activities embodied in or enabled by digital tech
End Users
those individuals who have direct contact with software applications as they use them to carry out specific tasks
Effective modern Managers
Should be able to:
Identify opportunities to use information technology to their firm’s advantage
Feel confident with knowledge of IS
Plan for the use of IS resources
Manage the design, dev, selection and implementation of IS
Executives
CIO Chief Information Officer: Individual in charge of the IS function
CDO Cheif Digital Officer: Individual in charge od digital transformation and digital innovation in established orgs
CDO Cheif data officer: Individual who oversees all aspects od data use in an org
CISO Cheif Information Security officer: individual in charge of digital risk mgmt and cybersecurity
Technical Staff
Architect: Individual in charge of developing a framework for the development of a system
Developer: An Individual who builds high quality innovative software
Administrator:Day to day maintenance
Analyst and Managerial Staff
Analyst: Individual who performs analysis in a specified field or topic area
Project Manager: The Individual is ultimately responsible for delivering an information systems project on time within budget
IS Manager: Individual in charge of a team within the it function of an org
Data Science and Analytics
Data Scientist: An Individual in charge of analytics efforts who has the full view of the analytics process end-to-end
Data Engineer: An Individual who has distinctive skills in data access and data prep
Subject matter experts, with a Deep understanding of the business and functional domain of analysis
Source system expert: An Individual with a deep understanding of the tech underpinning the business domain of analysis
Moores Law
The number of transistors on a chip doubles approximately every 18–24 months.
This leads to exponential growth in computing power over time.
Implications of Moores Law
Increased Processing Power and Memory:
More transistors = more computing power.
Memory chip capacity has also grown exponentially.
Lower Costs of Computing Power:
Price-performance has improved drastically since the 1990s.
Better chip designs and higher manufacturing efficiency have driven costs down.
Enabled widespread use of powerful yet affordable devices.
Improved Usability:
More powerful and affordable computers are easier to use.
Can now perform tasks independently (e.g., automation, voice interfaces).