1. Business Analyst Overview By Quontra Solutions
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Business- Analyst Over view
By
Quontra Solutions

2. Business Analyst Overview By Quontra Solutions
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Business Analyst Definition:
A business analyst works as a liaison among stakeholders in order to
Elicit , Analyze ,Communicate Validate and Requirements for changes
to business processes, policies and information systems.
Role of Business Analyst :
Business Analyst Understands Business problems and opportunities in
the context of the requirements and he recommends solutions that enable
the organization to achieve its goals.

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Purpose of Business Analysis:
– Identify where the business stands
in relation to rivals, etc.
– Collect and use data to inform business decision making
– Identify strengths and weaknesses
in the business
– Use information to inform strategic planning
Knowledge Areas :
There are totally six knowledge areas in Business Analysis as follows :
1. Enterprise Analysis
2. Requirements Planning and Analysis
3. Requirements Elicitation
4. Requirements Analysis and Documentation
5. Requirements Communication
6. Solution Assessment and Validation

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How To Do Business Analysis :
In the part of business analysis every organization should do market research ,past sales data, Market
growth data Specialist analyst data Secondary data.

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How To Analyse the Data :
We can analyse the data by using the Trends as follows :
– Growth rates
– Nominal
– Average
• Mean
• Median
• Mode
– Variance
• Standard deviation
• Range
– Time series analysis
– Scatter graphs
• Correlation
Averages
• Averages: Averages are a measure of central tendency – the
most likely or common item in a data series
• Calculated through 3 measures:
– Mean

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– Median
– Mode
• Mean = Sum of items
in the series/number of items
X = Σx
x
• Median = middle number
in a data series – 0.5 (n+1)
• Mode = the most frequently occurring value in a data series
Variance
• Mean = Sum of items
in the series/number of items
X = Σx
x
• Median = middle number
in a data series – 0.5 (n+1)
• Mode = the most frequently occurring value in a data
series

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The Standard Deviation
Correlation
 The degree to which there is a relationship between two
or more random variables
 The closer the relationship the higher the degree of
correlation
 Perfect correlation would be where r = 1
S =
Σ (xi
– x )
2
n

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Time Series Analysis
Used to analyse movements of a variable over a time period –
usually years, quarters, months, etc.
Importance of assessing the:
– Trend
– Seasonality
– Key moments
– Magnitude
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