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Data processing (DP)
Name for business technology in the 1970’s; primarily used to improve the flow of financial information
Data
Raw, unanaylzed, and unorganized facts and figures
Information
Processed and organized data that managers can use for decision making
Databases
An electronic storage file for information
Management Information Systems (MIS)
Data collection, storage & processing used to aid and support decision making (EX. Inventory control, payroll systems, market share analysis)
Information systems (IS)
Technology that helps companies do business
(EX. ATMs & Voice mail)
Information technology (IT)
technology used to store, retrieve, and send information effectively
Business intelligence (BI) & Business Analytics
The use of data analytic tools to analyze an organization’s raw data and derive useful insights from them
Technology Skills All Business Professionals Need
Make sense of data using apps like Power BI or Tableu
Create compelling presentations
Manage communication tasks
Manage projects using task management, time-tracking, and file-sharing apps
Use best cybersecurity practices
Use critical thinking and problem-solving skills
Adapt to new technologies
Types of Information
Business process information
Physical-world observations
Biological data
Public data
Data that indicates personal preferences or intentions
Business process information
Transaction data, customer data, production and distribution data
Physical-world observations
Information from cameras, GPS, sensonr
Biological data
Fingerprints, facial recognition
Public data
Data attached to social media, search engine use
Data that includes personal preferences or intentions
Online shopping trends, social media likes
Characteristics that make information useful
Quality: information that is accurate and reliable
Completeness: sufficient information to use for decision-making
Timeliness: decisions should be made based on the most recent data available
Relevance: having too much data can be problematic as not all of it is relevant to the task at hand
RADAR Test
Relevance
Authority
Date
Accuracy
Reputability
Data analytics
The process of collecting, organizing, storing, and analyzing large sets of data (“big data”) in order to identify patterns and other information that is most useful to business now and for making future decisions
Data mining
A technique for looking for hidden patterns and unknown relationships in the data
Sectors that Benefit form Big Data and Data Analytics
E-Commerce
Retail
Real estate
Law enforcement
Health care
Computer Networks
Intranet
Extranet
Virtual private network (VPN)
Intranet
A companywide network, closed to public access, that uses Internet-type technology
Extranet
A semiprivate network that allows more than one company to access the same information or allows people on different servers to collaborate
Virtual private network (VPN)
A private data network that creates secure connections, or “tunnels,” over regular Internet lines
Artificial intelligence (AI)
Machines programmed to think, work, and react like humans
Narrow AI
Training a device or software to perform a specific task, like recognizing images (this is where technology is currently)
General AI
Technology that can evolve and improve any task (doesn’t exist yet)
Machine learning
Training devices or software to perform a task and improve its capabilities by feeding it data and information so it can “learn” over time
Generative AI
A subset of machine learning that creates “new” writing, images or other media based on what it has learned from the data it was trained on
AI Caveats (Warnings)
Subject to the same biases humans have
Can “hallucinate”: make up information that is incorrect or cite data sources that don’t exist
Won’t automatically understand the context of a request and an provide results that are factually correct, but irrelevant
Don’t let AI do your thinking for you: critical thinking skills are needed to evaluate AI output
Passing off AI-produced content as your own is still considered plagiarism
2 Major Types of Computer Networks
LAN & WAN
Local area network (LAN)
A group of connected devices in one physical location, such as a home or office
Can be large or small and include both wired and wireless
Connects devices in a single limited area
Wide area network (WAN)
A network that extends over a large geographical area and connects individual users or multiple LAN’S
Internet can be considered a WAN
Large organizations use WAN’s to connect sites, remote employees, suppliers, data centers
Cloud computing
A form of virtualization in which a company’s data and applications are stored at offsite data centers accessed over the internet
Advantages of Cloud Computing
Reduced software costs
Improved security
Flexible capacity
Lower equipment costs
Easier access
Disadvantages of Cloud Computing
Security breaches
Stability
Control of data
Web 3.0
A combination of technologies that adds intelligence and changes how people interact with the web, and vice versa
Major problems of Web 2.0
Most data generated online is collected by big tech companies
The system is vulnerable to issues that could lead to losses of service and/or data
moving to a decentralized system in which users can connect and collaborate directly with each other
Web 3.0 Fixes Web 2.0 problems by…
blockchain
Decentralization is made possible through…
Blockchain
A database that exists on many servers at the same time
Advantages of blockchain
Creates more powerful peer-to-peer system
Data cannot be altered or lost since it exists on many independent servers at the same time and is not controlled by a central server
Security Issues
Viruses
Identity theft
Virus
A piece of programming code inserted into other programming to cause some unexpected, undesired event
(EX. Erasing data or causing your hard drive to crash)
Identity theft
Obtaining individual’s personal information for illegal purposes
(EX. Social Security, credit card numbers)
Phishing
Email messages set up to trick victims into giving important information to a bogus website
Importance of Computer Literacy
Technology eliminates old jobs while creating new ones
Workers must continually learn and maintain skills
Always seek help from experts when you need it
Be mindful of misinformation; always look for verifiable sources
Get comfortable using AI, but remember to independently verify its sources and information