skip to main
|
skip to sidebar
MIS
Saturday, October 3, 2009
Differenc between DSS and BI page 90
DSS generaly built to solve a specific problem and contains its on databases.
BI apps focus on reporting and identify problems by scanning data extracted from the DW (Date Warehouse)
No comments:
Post a Comment
Newer Post
Older Post
Home
Subscribe to:
Post Comments (Atom)
Labels
Abstract models
(1)
Advanced analytics
(1)
AI
(1)
algorithms
(2)
analytical techniques
(2)
ass 2
(1)
Asynchronous comms
(1)
Automated Decision Making
(1)
BI
(9)
Blind searching
(2)
Business analytics
(7)
Business performance management
(1)
Business Pressures-Responses-Support model
(2)
capabilities
(2)
capacity
(1)
case based reasoning
(1)
Certainty
(2)
Chance Variable
(1)
characteristics
(4)
charge-back
(1)
choice
(3)
cognitive style
(1)
Collaboration support
(4)
collaborative GSS
(5)
communication Support
(1)
constraints
(3)
Continuous distributions
(1)
CRM
(2)
Data Aquisition
(2)
Data mining
(4)
Data Visualization
(1)
Data warehouse
(7)
Decision making
(10)
Decision making process
(16)
decision style
(1)
Decision support
(4)
Decision Support Methodology
(11)
Decision Tables
(2)
Decision Trees
(3)
Decision Variable
(4)
decision variables
(1)
Decisional
(1)
defined
(5)
Descriptive knowledge
(1)
Descriptive Models
(1)
design
(2)
deterministic
(1)
diags
(3)
Different Time
(1)
Dimensionality
(1)
Discrete distributions
(1)
do nothing
(1)
DSS
(19)
DSS characteristics
(1)
DSS components
(2)
DSS Frameworks
(1)
DSS Functions
(1)
DSS model types
(1)
DSS Technologies
(1)
Dynamic modeling
(2)
EMS
(1)
Environmental Scanning and analysis
(1)
ES
(1)
expert systems
(1)
external data
(1)
Find-by-search
(1)
fixed factors
(1)
Forecasting
(2)
Game theory
(1)
GDSS
(1)
Genetic algorithms
(2)
GIS
(1)
Goal programming
(2)
goal seeking
(3)
Granularity
(1)
groupwork
(1)
GSS
(11)
Heuristic programming
(1)
heuristic searching
(2)
Hybrid Systems
(2)
Imitation of reality
(1)
implementation
(2)
influence diagrams
(1)
Informational
(1)
input output coefficients
(1)
integrated
(1)
intelligence
(3)
intelligent agents
(1)
Intermediate Result Variables
(2)
internal data
(2)
Interpersonal
(1)
inventory model
(1)
KMS
(1)
Knowledge based management subsytem
(1)
Knowledge Clasification
(1)
Knowledge Discovery
(1)
Knowledge-Based approach
(1)
KSS
(1)
Learning Objectives
(1)
Lesson 1
(15)
lesson 2
(40)
Lesson 3
(15)
Lesson 5
(8)
Linear programming
(4)
link
(12)
loss
(1)
machine-learning
(1)
Management functions
(3)
Management Science Models
(1)
Managerial Decisions
(1)
Managerial Roles
(2)
Markov
(1)
mathematical
(1)
Mathematical Models
(2)
Mathematical programming
(1)
metadata
(2)
MinMax techniques
(1)
Mintzberg’s 10 Management Roles
(1)
Model management subsytem
(1)
Model-based management systems
(1)
modeling
(30)
Modeling and Analysis
(42)
modelling
(1)
models
(1)
MSS
(4)
Multidimensional Analysis
(1)
multiple criteria approach
(1)
multiple goals
(3)
multiple models
(1)
multiple-equation model
(1)
network models
(1)
neural mining
(1)
Neural networks
(1)
Non-Volatile
(1)
Object models
(1)
Object Oriented Simulation
(1)
objective function
(1)
objective function coefficients
(1)
Objective Variable
(1)
OLAP
(2)
operational data
(1)
Operational Decisions
(2)
Operations research approach
(1)
Optimistic approach
(1)
Optimum outcome
(1)
outcome variables
(1)
page
(43)
parameters
(1)
Pessimistic approach
(1)
Physical models
(1)
Point allocation systems
(2)
pre-existing biases and preferences
(1)
Predictive Analysis
(1)
Predictive models
(1)
private data
(1)
Probabilistic decision-making
(3)
probalistic simulation
(1)
problem solving
(3)
problems
(2)
Procedural Knowledge
(1)
Process models
(1)
qualitative models
(1)
qualitive
(1)
Quantitative models
(1)
quantitive
(1)
Random Variable (risk)
(1)
reality
(1)
ref
(1)
Regression analysis
(2)
Reliablility
(1)
Reports and queries
(1)
result variables
(2)
risk
(4)
Risk analysis
(1)
ROI
(1)
same time
(1)
Satisfactory outcome
(1)
satisficing
(1)
satisfycing
(1)
SCM
(1)
search methods
(1)
search steps
(1)
Semi structured problems
(1)
Semistructured Decision
(1)
Sensitivity analysis
(2)
Simon
(5)
simulation types
(1)
Simulations
(3)
simultaneous goals
(1)
single-equation model
(1)
spreadsheets
(2)
Static modeling
(2)
statistical
(1)
statistical methods
(1)
Stochastic
(1)
strategic data
(1)
Strategic Decisions
(2)
Structured Decision
(1)
subject oriented
(1)
subset
(1)
Synchronous comms
(1)
Tabu search
(1)
tabular
(1)
tactical decisions
(1)
text mining
(1)
Time Dependant
(1)
Time Independant Simulation
(1)
Time span
(1)
Time variant
(1)
TOC
(1)
Tools and Techniques
(1)
Transaction processing
(1)
trial and error
(1)
tut
(2)
Uncertainty
(3)
uncontrollable variables
(3)
Unstructured Decision
(1)
User interface subsytem
(1)
Utility theory
(2)
variable identification
(1)
Virtual file
(1)
Virtual relationship
(1)
visualisation
(1)
what-if
(6)
WWW
(1)
Followers
Blog Archive
▼
2009
(133)
▼
October
(25)
Time/place Framework pg 441
Groupware
pro's/cons for working in groups pg 437
Group decision making process pg 436
characteristsics of groupwork page 436
Electronic Meeting Systems (EMS)
Different Time
Same Time
Collaboration support
communication Support
Group Support Systems
Internal Data page 98
Levels of DSS models - Strategic, Tactical, Operat...
Regression analysis
Semi structured problems page 14
Modelling and Analysis
Can you give an example of how a DSS might help wi...
What is the relationship of the DSS and its compon...
What is a 'static' model?
ass 2 links
The components of DSS Mathematical problems PART 2...
Differenc between DSS and BI page 90
DSS Characteristics and capabilities page 90
Total Cost of Ownership TOC
Return on Investment ROI
►
September
(108)
About Me
Rach
View my complete profile
No comments:
Post a Comment