QUALITATIVE Vs QUANTITATIVE - RISK MANAGEMENT - PowerPoint PPT Presentation

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QUALITATIVE Vs QUANTITATIVE - RISK MANAGEMENT

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Infosectrain explores the dynamic interplay between Qualitative and Quantitative Risk Management in a comprehensive PDF. Delve into the nuanced strategies that blend subjective insights with numerical data to fortify organizational resilience. Uncover the symbiotic relationship between these two approaches, navigating the complexities of risk mitigation. More information - – PowerPoint PPT presentation

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Date added: 3 January 2024
Slides: 11
Provided by: infosectrain01
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Title: QUALITATIVE Vs QUANTITATIVE - RISK MANAGEMENT


1
QUALITATIVE
QUANTITATIVE
RISK MANAGEMENT
LearnToRise
2
QUALITATIVE
RISK MANAGEMENT
www.infosectrain.com
learntorise
An approach to assessing and managing risks that
relies on subjective judgment and descriptive
analysis. It uses qualitative scales or
categories, like "low," "medium," or "high" risk,
to provide a qualitative understanding of the
risks associated with a project or
decision-making process.
3
METHODS
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learntorise
BRAINSTORMING
Gather a group of experts and stakeholders
to generate a list of potential risks
DELPHI TECHNIQUE
Structured approach for gathering and distilling
an expert panel's opinion on potential risks
4
RISK MATRICES
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learntorise
Risks are plotted on a matrix based on their
likelihood and impact, with categories like low,
medium, and high-risk
SWOT ANALYSIS
Strategic planning tool helps organizations
identif internal and external strengths,
weaknesses, opportunities, and threats
5
USES
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learntorise
01
Quickly identifies and categorizes risks
Provides an initial risk assessment in the
absence of detailed data
02
03
Prioritizes risks based on subjective judgment
Helpful in making quick, high-level
decisions about risk
04
6
QUANTITATIVE
RISK MANAGEMENT
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learntorise
  • A data-driven approach to assessing and
  • mitigating risks that involves assigning precise
    numerical values to risks as well as associated
    parameters like probabilities and monetary
  • implications. This approach uses quantitative
  • data and mathematical models to quantify and
    analyze risks precisely.

7
METHODS
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learntorise
MONTE CARLO SIMULATIONS
Uses random sampling to assess various scenarios
and probabilities
DECISION TREES
Constructs decision trees to map out optimal
choices and their associated risks and rewards
8
MATHEMATICAL MODELING
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Uses complex mathematical models to assess risks,
especially in financial engineering domains
quantitatively
9
USES
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Precisely quantify and analyze risks
using numerical values
01
Assess the likelihood and impact of risks in a
data-driven manner
02
Analyze complex projects and financial decisions
with precision
03
Facilitate risk comparisons and prioritize
mitigation efforts
04
10
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