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Consulting offers the opportunity to work on diverse projects, solve complex problems, and make a significant impact on clients' businesses.
Opportunity to work on diverse projects
Solve complex problems
Make a significant impact on clients' businesses
Continuous learning and development
Networking and building relationships
Exposure to different industries and sectors
The Hindi-Tamil mix for 100 Indian movies released worldwide by Reliance will depend on market research and target audience.
Conduct market research to identify the target audience for each movie
Analyze the popularity of Hindi and Tamil movies in different regions
Consider the language preferences of the target audience in each region
Allocate resources based on the expected revenue from each region
Collaborate with local ...
The smartphone market in India is expected to grow significantly in the next 3 years.
India is the second-largest smartphone market in the world after China.
The market is expected to grow at a CAGR of 14.5% from 2020 to 2025.
The adoption of 5G technology and the increasing demand for affordable smartphones are the major drivers of growth.
The market is expected to reach a value of $174.9 billion by 2025.
Demand estimation for low-priced 2 bedroom flats
Conduct market research to identify demand for low-priced 2 bedroom flats
Analyze the income levels and affordability of the target market
Consider the location and amenities offered by the flats
Compare the demand for low-priced flats with that of higher-priced ones
Assess the competition in the market
Use statistical models to estimate demand based on various factors
I would change the lack of accessibility, sustainability, and preservation in Indian architecture.
Improve accessibility for people with disabilities and elderly individuals
Incorporate sustainable design practices to reduce environmental impact
Preserve historic buildings and cultural landmarks to maintain India's rich architectural heritage
Consulting offers the opportunity to work on diverse projects, solve complex problems, and continuously learn and grow.
Exposure to different industries and business models
Opportunity to work with talented and experienced professionals
Ability to make a significant impact on clients' businesses
Continuous learning and development through challenging projects
Flexibility to work on projects that align with personal interest
To improve profitability of a cable based service provider in a DTH dominated market, focus on customer experience, content offerings, and pricing strategies.
Invest in improving customer experience through better service and support
Offer unique and exclusive content to attract and retain customers
Implement competitive pricing strategies to stay relevant in the market
Partner with local cable operators to expand reach an...
I appeared for an interview before Sep 2016.
I applied via Recruitment Consultant and was interviewed before Sep 2018. There were 4 interview rounds.
I appeared for an interview in Jul 2017.
Autocorrelation is the correlation of a signal with a delayed copy of itself.
Autocorrelation is used to identify patterns in time series data.
It is a measure of how similar a signal is to a delayed version of itself.
Autocorrelation can be positive, negative, or zero.
It is commonly used in signal processing, finance, and econometrics.
Autocorrelation can be visualized using a correlogram.
Heteroscedasticity is a statistical term that refers to the unequal variance of a variable across different levels of another variable.
It is a violation of the assumption of homoscedasticity in regression analysis.
It can lead to biased and inefficient estimates of regression coefficients.
It can be detected through residual plots or statistical tests such as the Breusch-Pagan test.
Examples include income and expenditure...
Data analysis is affected by various factors that can influence the accuracy and reliability of the results.
Data quality: The accuracy, completeness, and consistency of the data can impact the analysis.
Data sources: The reliability and relevance of the data sources used for analysis can affect the outcomes.
Data preprocessing: The way data is cleaned, transformed, and prepared for analysis can impact the results.
Data in...
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Frost & Sullivan
Kantar
Nielsen
TCS