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Data vs Information
Data: raw facts
Information: processed data with meaning
Knowledge: insights from analyzing information
Characteristics of Quality Information
Timely
Information System
Set of interrelated components (people
Main Roles of IS
Manage operations
Components of IS
People
CPU
Brain of the computer
executes program instructions
RAM
Temporary volatile working memory used by CPU
Cache
Very fast memory near CPU to speed up access to RAM data
HDD
Mechanical secondary storage with platters
cheaper but slower and prone to failure
SSD
Flash-based secondary storage
faster
quieter
Database
Collection of related tables storing structured data
Entity
Noun representing something with multiple instances (person
Attribute
Characteristic or property of an entity (field)
Primary Key
Attribute(s) that uniquely identifies each record/instance
Foreign Key
Attribute in one table that references the primary key in another table to link them
Instance/Record
Single occurrence of an entity (a row in a table)
Data Warehouse
Central repository of data from multiple sources
Big Data
Extremely large
3 Vs: Volume
Velocity
FMS
Financial Management System
tracks income
expenses
includes procurement
AR/AP
HCM
Human Capital Management
manages employee lifecycle (HR
payroll
SCM
Supply Chain Management
manages flow of goods/services from suppliers to customers (Plan
Source
CRM
Customer Relationship Management
builds and maintains customer relationships (marketing
sales
ERP
Enterprise Resource Planning
integrated system combining FMS
HCM
SEO
Search Engine Optimization
techniques to improve website visibility in search engine results
Search Engine Spiders
Also called crawlers or bots
software that scans and copies website content for indexing
robots.txt
File that tells search engine spiders which pages/folders they may or may not access
PageRank
Google’s algorithm that ranks pages based on quantity and quality of incoming links
Link Farm
Group of sites linking to each other artificially to boost rank (penalized by search engines)
Impression
Single instance of an ad being displayed to a user
CTR
Click-Through Rate = (Clicks / Impressions) x 100
CPC
Cost Per Click
advertiser pays when user clicks the ad
CPM
Cost Per Mille (thousand impressions)
Cookies
Small files stored on user’s computer used for tracking and personalization (1st party vs 3rd party)
Browser Fingerprinting
Technique to identify users based on device
URL
Uniform Resource Locator
web address including protocol
domain
IP Address
Unique numerical identifier for every device on the internet (IPv4 or IPv6)
HTML
Hypertext Markup Language
defines structure and content of web pages
CSS
Cascading Style Sheets
controls visual styling and layout of web pages
SDLC
Systems Development Life Cycle
structured process for planning
creating
Waterfall Model
Sequential SDLC approach where each phase completes before next begins
best when requirements are clear
Scrum
Agile framework using short sprints (usually 2 weeks)
User Story
As a [role]
Acceptance Criteria
3-5 specific conditions that define when a user story is “done”
Product Owner
Prioritizes product backlog and represents stakeholder needs
Scrum Master
Facilitates Scrum process
Sprint
Time-boxed iteration (usually 2 weeks) to complete selected work
Product Backlog
Prioritized list of all desired features/user stories
Sprint Backlog
Subset of product backlog items selected for the current sprint
Increment
Sum of all completed product backlog items at end of sprint (potentially shippable)
Artificial Intelligence (AI)
Capability of machines to mimic human intelligence (learning
Narrow AI
AI designed for one specific task
General AI
Theoretical AI with broad human-like intelligence across many domains
Generative AI
AI that creates new content (text
LLM
Large Language Model
neural network trained on vast text data to understand and generate human language
Hallucination
When LLM produces plausible but factually incorrect information
Business Intelligence (BI)
Tools
Dashboard
Visual display of key performance indicators and metrics for monitoring and decision support
Descriptive Analytics
Summarizes what happened in the past (reports
Predictive Analytics
Forecasts what is likely to happen using statistics and ML
Prescriptive Analytics
Recommends actions to achieve desired outcomes (optimization)
OLAP
Online Analytical Processing
multidimensional analysis using data cubes for slice
dice
Data Mining
Discovering unknown patterns and relationships in large datasets
Market Basket Analysis
Finds items frequently purchased together (cross-selling opportunities)
Text Mining
Extracts insights from unstructured text (sentiment analysis
What-If Analysis
Changes input variables to see effect on output
Goal Seek
Sets desired output and finds required input value
Optimization
Finds best solution (max profit / min cost) under constraints using linear programming