CBAD 393 Exam #3 – Questions With Indepth Solutions
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Terms in this set (67)
a software system that acts as the central nervous system of an
ERP organization - connecting all major departments through a
shared system and real-time data
Each department uses its own software, and data is duplicated,
Without ERP
inconsistent or delayed
One shared database; data entered once is visible everywhere in
With ERP
real time. Single Source of Truth
ERP relates to MIS Summarizes routine reports for managers
ERP relates to DSS Analyzes data for non-routine, strategic decisions
ERP relates to TPS Captures transactions at the operational level - built into the ERP
1. Too Complex
- ERP systems had become too large, hard to maintain, and
difficult to align with business needs.
2. Expensive
- Implementation & upgrade costs were high, often exceeding
original budgets.
Four points from Forbes (2012)
3. Slow to Change
- Slow to evolve, cloud could not keep up with fast-changing
markets.
4. Disrupted by New Models
- Cloud, Saas & modular systems offered simpler & faster
alternatives
1. Still the Core
- ERP continues to anchor enterprise data & standardized
processes
2. Information Automation
- Focus shifts from process automation to data intelligence &
Four points from WSJ (2025) insights
3. Hybrid Future
- Cloud & on-premise systems coexist, extending ERP to mobile
& analytics tools.
4. Innovation Platform
- Serves as a foundation for AI, analytics and edge operations
Focuses on efficiency & control, automates core workflows
Process Automation
(payroll, inventory), a system of record.
Focuses on insight & agility, real-time analytics & dashboards, a
Information Automation
system of insight.
, 1. Independent models (Finance, CRM, HR) operate as distinct
but connected parts.
2. Shared database so all models draw from a single source of
truth to ensure data consistency.
Modular ERP Characteristics
3. Scalability as modules can be added, updated, or removed
without system disruption.
4. Flexibility as organizations can tailor ERP functionality to
business models & growth stages.
Cloud-based & easy to deploy, replaces spreadsheets and
Small Business ERP covers sales, finance & inventory. Cloud- First deployment trend
(Saas).
Example of Small Business ERP Local retailer needing real-time financials & sales tracking.
Modular, scalable architecture. Built-in analytics & best practices,
Midmarket ERP affordable for growing firms. Cloud or hybrid modular
deployment trend.
Example of Midmarket ERP Regional wholesaler expanding into multiple warehouses.
Full-featured, customizable. Includes AI, machine learning, and
automation. Handles global operations & compliance
Enterprise ERP
subsidiaries. Hybrid or two-tiered deployment trend, highly
integrated, AI-enabled.
Example of Enterprise ERP Multinational manufacturer or global supply firm.
Collaboration in ERP projects is dynamic; it shifts with context
ERP Implementation at Factory and crises. Adjust the management approach as the project
matures.
The process of buying and selling goods and services over the
E-Commerce internet -- connecting businesses and consumers across digital
platforms
1. Online Marketplaces
( Amazaon, Etsy)
2. Retail & Online Stores (Walmart, Target)
Examples of E-Commerce
3. Sharing Economy Platforms ( Uber, Airbnb)
4. Social Commerce
(Instagram Shop, Facebook Marketplace)
AI & Machine Learning in E- Personalized shopping, AI assistants, fraud detection and
Commerce predictive insights enhance customer experience and operations
Centralizes customer data and automates engagement. (e.g.,
CRM Software in E-Commerce
Salesforce, Hubspot)
Manage and publish content (e.g., WordPress, Adobe Experience
CMS Platforms in E-Commerce
Manager)
Data Analytics & BI Tools in E- Provide insights on trends and customer behavior (e.g., Google
Commerce Analytics)
Core systems managing orders, payments, and catalogs. (e.g.,
E-Commerce Platforms
Shopify)
Inventory Management in E- Track stock levels and automate reordering (e.g., NetSuite)
Commerce
Payment Gateways in E- Facilitate secure transactions (e.g., Apple Pay, PayPal)
Commerce
Security Technologies in E- Protect data via encryption, firewalls and tokenization, key for
Commerce safe transactions and compliance.
A subset of AI that enables systems to learn patterns from data
Machine Learning
and improve predictions without explicit programming.
Save
Students also studied
Perio Study DENT 475 - Implant components NBDE II Review - Pro
Teacher 78 terms 42 terms 69 terms
Hunter_Charters Preview gillphil Preview melissa_jarvis7
Terms in this set (67)
a software system that acts as the central nervous system of an
ERP organization - connecting all major departments through a
shared system and real-time data
Each department uses its own software, and data is duplicated,
Without ERP
inconsistent or delayed
One shared database; data entered once is visible everywhere in
With ERP
real time. Single Source of Truth
ERP relates to MIS Summarizes routine reports for managers
ERP relates to DSS Analyzes data for non-routine, strategic decisions
ERP relates to TPS Captures transactions at the operational level - built into the ERP
1. Too Complex
- ERP systems had become too large, hard to maintain, and
difficult to align with business needs.
2. Expensive
- Implementation & upgrade costs were high, often exceeding
original budgets.
Four points from Forbes (2012)
3. Slow to Change
- Slow to evolve, cloud could not keep up with fast-changing
markets.
4. Disrupted by New Models
- Cloud, Saas & modular systems offered simpler & faster
alternatives
1. Still the Core
- ERP continues to anchor enterprise data & standardized
processes
2. Information Automation
- Focus shifts from process automation to data intelligence &
Four points from WSJ (2025) insights
3. Hybrid Future
- Cloud & on-premise systems coexist, extending ERP to mobile
& analytics tools.
4. Innovation Platform
- Serves as a foundation for AI, analytics and edge operations
Focuses on efficiency & control, automates core workflows
Process Automation
(payroll, inventory), a system of record.
Focuses on insight & agility, real-time analytics & dashboards, a
Information Automation
system of insight.
, 1. Independent models (Finance, CRM, HR) operate as distinct
but connected parts.
2. Shared database so all models draw from a single source of
truth to ensure data consistency.
Modular ERP Characteristics
3. Scalability as modules can be added, updated, or removed
without system disruption.
4. Flexibility as organizations can tailor ERP functionality to
business models & growth stages.
Cloud-based & easy to deploy, replaces spreadsheets and
Small Business ERP covers sales, finance & inventory. Cloud- First deployment trend
(Saas).
Example of Small Business ERP Local retailer needing real-time financials & sales tracking.
Modular, scalable architecture. Built-in analytics & best practices,
Midmarket ERP affordable for growing firms. Cloud or hybrid modular
deployment trend.
Example of Midmarket ERP Regional wholesaler expanding into multiple warehouses.
Full-featured, customizable. Includes AI, machine learning, and
automation. Handles global operations & compliance
Enterprise ERP
subsidiaries. Hybrid or two-tiered deployment trend, highly
integrated, AI-enabled.
Example of Enterprise ERP Multinational manufacturer or global supply firm.
Collaboration in ERP projects is dynamic; it shifts with context
ERP Implementation at Factory and crises. Adjust the management approach as the project
matures.
The process of buying and selling goods and services over the
E-Commerce internet -- connecting businesses and consumers across digital
platforms
1. Online Marketplaces
( Amazaon, Etsy)
2. Retail & Online Stores (Walmart, Target)
Examples of E-Commerce
3. Sharing Economy Platforms ( Uber, Airbnb)
4. Social Commerce
(Instagram Shop, Facebook Marketplace)
AI & Machine Learning in E- Personalized shopping, AI assistants, fraud detection and
Commerce predictive insights enhance customer experience and operations
Centralizes customer data and automates engagement. (e.g.,
CRM Software in E-Commerce
Salesforce, Hubspot)
Manage and publish content (e.g., WordPress, Adobe Experience
CMS Platforms in E-Commerce
Manager)
Data Analytics & BI Tools in E- Provide insights on trends and customer behavior (e.g., Google
Commerce Analytics)
Core systems managing orders, payments, and catalogs. (e.g.,
E-Commerce Platforms
Shopify)
Inventory Management in E- Track stock levels and automate reordering (e.g., NetSuite)
Commerce
Payment Gateways in E- Facilitate secure transactions (e.g., Apple Pay, PayPal)
Commerce
Security Technologies in E- Protect data via encryption, firewalls and tokenization, key for
Commerce safe transactions and compliance.
A subset of AI that enables systems to learn patterns from data
Machine Learning
and improve predictions without explicit programming.
