Chapter 12 - Supporting Info-Centric Decision Making Flashcards

1
Q

What is decision making?

A

The process of making choices by identifying a decision, gathering information and assessing alternatives

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2
Q

How do computer systems support decision making?

A

Through increasing frequenct of automation

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3
Q

What are the types of decision making?

A

Structured - well-defined methodology and data
Unstructured - knowledge or expertise, reqiure data and models
Semi-Structured - some human judgement, some agreement on method

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4
Q

What is business intelligence?

A

A wrote set of concepts and technologies to improve the context of decisions.

Gathers and filters data.

Relies on DW and DBs

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5
Q

What is DSS?

A

Decision support systems

  • Computer based info system that helps makes decisions about problems that are rapidly changing
  • Combines models and analytics with traditional data anal
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6
Q

What are the three fundamental components of a DSS?

A

1) Data Base
2) Model Base - decision context and user criteria
3) Software System - DBMS, MBMS, DGMS

And the user

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7
Q

What is data mining?

A

Uses computers to find unknown correlations from a large data set by finding hiddent patterns and rules to predict trends

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8
Q

What are the data mining techniques?

A

Associations - Determine occurences linked to a single event
Sequences - Events that are linked over time
Classifications - Discover characteristics of customers and make predictions about behavior of those classes
Clusters - Groups within data
Forecasting - Using current values to estimate what future values will be

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9
Q

What are Executive Information Systems?

A

An executive summary form of TSS. Used to guide company performance and scan business info.

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10
Q

What is the goal of EIS?

A

Goal: provide access to summary performance data, use graphics to display data in user friendly fashion, offer minimum of analysis beyond exec summary data

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11
Q

What do EIS usually do?

A

Supportt senior management
Incorporate data about external events
Summarize info from TSS

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12
Q

What are some common shortfalls of EIS?

A
Lack of exec support
undefinded system objectives
Poorly defined requirements 
inadequate supoprt staff
Poorly planned evolutions
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13
Q

What is an expert system?

A

A real world use of AI

AI mimics human cognition and communication to analyze a situation or solve a problem

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14
Q

What are the components of an expert system?

A

UI -> Inference engine -> Knowledge Base

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15
Q

How can knowledge be represented in expert systems?

A

Cases
Neural Network nodes
Rules - knowledge obntained by human experts drawing on experience, expertise, common sense, laws etc…

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16
Q

What are real time enterprises>?

A

Ensuring enterprises have ability to monitor, capture and analyze events that are critical to its success

17
Q

What is an enterprise nervous system

A

A kind of network that provides universal connectivity among people, applications and devices

18
Q

What are some of the enhanced forms of communication provided by enterprise nervous systems?

A
  • transforms messages
  • Redirects messages
  • track and control bus processes
19
Q

What is straight through processing?

A

Transation data entered just once in a process

20
Q

What is the goal of straight through processing?

A

Allow companies to have same info be streamlined through multiple points

Reduce waste effect from process lag and latency

21
Q

What are communicating objects?

A

Smart sensors and tags that provide info about the real world via real time data

22
Q

What is the OODA Framework?

A

Observe -> Orient -> Design -> Act

Allows individuals, teams or orgs to adapt and react on their own terms

23
Q

What are the requisites for Real-Time Management Strategy

A
  • real time data
  • real time performance matrix
  • focus on high value add data
  • define key activites and KPIs
24
Q

What is BI?

A

Concepts, methods and tech to support decision making by using info centric support

25
Some numbers about BI
- market for anal tools $4.5 billion in 2005 | - tools for advanced anal reach $120 million
26
What is sense making?
- ability to be aware of and assess situations that seem important to the org situation awareness -> constructive and inductive process situation assessment -> fitting observed data in predetermined model
27
How does BI achieve awareness?
- IT enabled infra to enhance collaboration | - support planning, monitoring and execution of decisions
28
What is the operational goal of BI?
Help users generate actions to control the assessed situation - allows id of business obj - definition of constraints - eval of alt solutions - decision making includes DW, data/doc mining, web mining, scoreboarding, viz, trend anal, multi-d anal, neural networks
29
What is the role of IT in decision making?
- using IT to get info decision maker needs - better formulate the problem - clarify preferences - process complex reasoning - better appreciate impacts
30
What are the five technologies used in BI?
1) Decision support systems 2) Data mining 3) Exec info sys 4) Expert sys 5) Agent-based modelling
31
What are four ways enterprise nervous systems differ from past systems?
- message based - event driven - uses publish and subscribe approach - common data formats
32
What is the bullwhip effect?
- when a customer puts in an order, business orders a bit extra - supplier orders a bit extra - etc... RT supply chain reduces discrepancy and therefore the effect of bull whip
33
What are some disadvantages and challenges to RT management?
- privacy - speed means things can go bad fast, speed needs to be balanced with caution - circuit breakers needed to stop deep spirals
34
What are two aspects orgs need to succeed in with RT mgmt?
- RT data and performance indicators - not all indicators need to be RT, use the few effective ones - tech readiness - need an integrated and seamless platform