RVCE Template.pptx

RV College of
Engineering
Go, change the world
Department of Industrial
Engineering and Management
21IMI310-Internship
Business Analytics
Submitted by -
Vedant Boddun-1RV21IM062
Under the Guidance of
Mr Pukhraj Gupta
(Internshala)
2022-23

1. Introduction
2. Company Profile
3. Objectives and Scope of Internship.
4. Internship Methodology and process study.
5. Internship Schedule.
6. Key Learning from internship work.
7. Conclusion / Summary.
8. References.
Contents

RV College of
Engineering Go, change the world
Introduction
• Why was this internship undertaken?
I undertook this internship so as to learn about the analysis of patterns of
businesses (Models and Frameworks) that can be overlooked when are not
familiar with.
I found the skill of analysis to be applicable in almost every aspect of my
future endeavours, mainly business goals.

RV College of
Company Profile
⮚ Founded - 2010
⮚ Headquarters - Gurugram
⮚ Founders - Sarvesh agrawal, Ankur khator

RV College of
Objective and Scope of Internship
Objective
- Objective is to make the intern familiar with famous business models,
frameworks, methodologies, business tools, decision making etc to help make
the business more efficient and effective in every aspect possible.
Scope of Internship
- The intern will be able to assist in writing reports, conducting research,
analyzing data, and making recommendations to improve effectiveness
and efficiency.

RV College of
Internship Schedule
- The enrolled internship is online in mode making it flexible in terms of time.
- Started on 1 Dec and ended on 4 Jan
- The internship aims to make the intern familiar with tools, like use of MS
Excel and techniques such as Statistical decision making, Predictive Analytics
etc.

RV College of
Internship Methodology
- In the internship, both theoretical and practical aspects are taught, in addition
mathematical part has also been conveyed for better understanding.
- As a part of business analytics- charts, graphs, insight dashboards and other
tools to express data and analysis play a major role. Practice questions are
given for the intern to get used to the working of these tools.
- Real life scenarios are given as examples to explain the application of the
particular topic.

RV College of
Business and types of business
- The activity of buying selling goods and services in order to make profit.
Types of business
- Product based (eg Lenovo)
- Service based (eg Netflix)
- Hybrid business (Apple- Products and services)

RV College of
Key business functional areas
- HR
- Marketing (ad, Loyalty, Promotions)
- Finance (cash management, Budgeting)
- Accounting (Ledger management)
- Operations (Fulfilment, Process control)
Principles of Decision making
Identification of problem and defining goal -> Gathering relevant information -> identifying
alternate solution -> Evaluating alternative solutions -> Selecting best alternative ->
execution of action plan -> Follow up -> Identification of problem, And the cycle continues.

RV College of
Example - Ice cream business
1- Problem found that business is going down.
2- Identification of problem, through analysis they found that competitors
were offering not only Ice cream but also several other side products
along with ice cream which had international appeal.
3- Identification of alternative solution :-
i> Either they should introduce more international flavours.
ii> Or they can introduce new products like jillato, ice-cream cake, keeping ice-cream
flavour same as earlier.
4- Evaluating alternative solution:-
On evaluation team found that ii option would be the better alternative as through it was
already found that the public interest has shifted to other side products like jillato,
ice-cream cake etc.
5- Selecting best alternative solution :-
(ii) option was chosen.
6- Execution of plan was done.
7- Subsequent follow up was done.

RV College of
Types of business decisions
i> Strategic decisions are made by senior management. These decisions
decide the overall direction of the business.
ii> Tactical decisions are made by middle management. These decisions are
made to achieve the goal set by the senior management.
iii> Operational decisions are made by operational management. These
decisions are related to day-to-day operations like keeping track of and
managing inventory. These decisions are in turn took in vision to achieve the
goals set by middle management team.

RV College of
Strategic Decision making:-
Porter's 5 Forces
- Industry rivalry.
- Threats of new entrants.
- Bargaining power of suppliers.
- Threat of substitutes.
- Bargaining power of buyers.
These factors are considered before entering a new market.

RV College of
- Time value of money.
PV = FV/(1+i)^n
PV = Present Value
FV = Future Value
i = Rate of interest
n = No. of years
- Valuing a business
i> Asset based valuation.(Drawbacks - Intangible
factors cannot be taken into consideration)
ii> Comparable transaction valuation
iii> Discounted cashflow method
etc.

RV College of
- Customer lifetime value (CLV)
Lifetime Value = Average value of sale X
Number of transaction X Retention time period
Customer Lifetime value = (Lifetime value X
Profit margin) - Acquisition cost
- Marketing mix (4Ps)
i> Product
ii> Price
iii> Place
iv> Promotion

RV College of
CHART ELEMENTS:-
- Axes
- Axis title
- Chart title
- Data label
- Data table
- Error Bars
- Gridlines
- Legend
- Trendline
- Up/ down bars
CHARTS TYPES
- Bar and column chart
- Line chart
- Area chart
- Pie and doughnut chart
- Scatter point or X-Y chart
- Frequency distribution and
histogram

RV College of
SCATTER PLOT GRAPH

RV College of
WATERFALL GRAPH

RV College of
Probability :-
Types of probabilities:-
- Discrete probability
- Continuous probability
Discrete probability
i> Binomial distribution [ BINOM.DIST(No._s,trails,probability_s,cumulative)]
ii> Poisson distribution [ POISSON.DIST(x,mean,cumulative)]
Continuous probability
i> Normal distribution [NORM.DIST(x,mean,standard_devi,cumulative)]
ii> Exponential distribution [ EXPON.DIST(x,lambda,cumulative)]

RV College of

RV College of
Internship Methodology.
Statistical decision making:-
It mainly includes 2 broad topics
1. Sampling and statistical inference
2. Hypothesis testing

RV College of
Sampling:-
It is done when collecting data for the entire population is not feasible. The
selected sample should represent the population.
Two types of sampling:-
1. Probability sampling(Statistical decisions can be made)
2. Non-probability sampling(Statisrical decisions cannot be made)
Example:-
1. Probability sampling - Simple random sampling
2. Non-probability sampling - Convenience sampling

RV College of
Point Estimation:-
1. Population parameter
Numerical measure of interest related to the population.
1. Population proportion
Number of elements in the category of interest/total no. of elements.
- Sample mean(x
̄ ) =( Σ Xi ) / N
- Standard deviation(S) =∑ sqrt( X − x
̄ ) ^2 /n − 1
- Sample proportion(p) = x/n

RV College of
Hypothesis testing:-
2 terms - Ha (Alternate hypothesis)
- H0 (Null hypothesis)
All of these are confirmed by
- Providing the statement (Ha Providing a statement)
- Disproving hypothesis ( H0 disprovings statement)
All of this is done to perform hypothesis testing.

RV College of
Optimizing Business Models :-
Excel tools used -
1. Goal seek
2. Scenario manager
3. Solver
Another popular model used for optimization purpose is Price skimming.
Essentially, price skimming is keeping high price for exclusive part at the launch
of the product and then trimming it down overtime.
Eg - A new smartphone is generally priced high then, as the demand lowers price
is also lowered.

RV College of
Predictive Analysis :-
It includes Data pre-processing, missing value treatment, outlier treatment.
Outlier treatment includes methods like:-
I. Capping and flooring - This bascially means that an upper and lower limit has
been set and thus no value should be exceeding it.
II. Exponential smoothing - By using exponential smoothing to generate a
forecast, we can compare the forecasted values with
the actual observations and identify any significant
deviations.

RV College of
Approaches for treatment of missing values include :-
1. Mean/Mode/Median Imputation:
In this method, the missing value is replace by the mean, mode or median value of
the remaining data in the same column. This method is easy to implement, but can
lead to biased or inaccurate results as it assumes that the missing values are similar
to the existing values.
1. Regression Imputation:
Regression imputation involves using a regression model to predict the missing
value based on other variables in the dataset. This method can provide better results
than mean/median/mode imputation, but can be time-consuming and complex.

RV College of
3. Multiple Imputation:
Multiple imputation involves creating multiple sets of data by filling in the
missing values using regression imputation or other methods. The analysis is then
conducted on each dataset, and the results are combined to obtain a final estimate.
This method can provide more accurate results than single imputation methods,
but can be computationally intensive.

RV College of
Key learnings
> Principles & types of decision making and Marketing analysis.
> Applications of MS Excel to organise work, evaluation of data, trend analysis,
… Chart and graph making.
> Probability distributions.
> Statistical decision making.
> Optimizing Business models.
> Predictive Analytics.

RV College of
CERTIFICATE

RV College of
THANK YOU !!

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