Lead - Business Intelligence
Lead - Business Intelligence Interview Questions and Answers
Q1. How to best build bottoms up sales forecasts through fiscal periods using customer bookings, future opportunities, recurring revenues
Build bottoms up sales forecasts by analyzing customer bookings, future opportunities, and recurring revenues
Analyze historical customer bookings to identify trends and patterns
Evaluate future opportunities in the sales pipeline and their potential impact on revenue
Track recurring revenues from existing customers to forecast ongoing income
Use data analytics tools to create accurate forecasts based on the above factors
Q2. What are the parameters you would consider in deciding on new games to launch?
The parameters considered for launching new games are...
Market demand and trends
Target audience and demographics
Competitor analysis
Development and production costs
Potential revenue and profitability
Brand fit and alignment with company values
Technical feasibility and resources
User testing and feedback
Intellectual property rights
Legal and regulatory compliance
Q3. What are different revenue models for gaming companies?
Gaming companies can have revenue models like pay-to-play, freemium, subscription, advertising, and in-app purchases.
Pay-to-play model charges users a one-time fee to access the game.
Freemium model offers basic features for free but charges for premium features.
Subscription model charges users a recurring fee for access to the game.
Advertising model generates revenue through in-game ads.
In-app purchases model allows users to buy virtual goods or currency within the game.
Examp...read more
Q4. Using dashboards to recommend cloud transformations, simplifying on-prem licensing thru migration to cloud.
Utilizing dashboards to recommend cloud transformations and simplify on-prem licensing through migration to cloud.
Develop interactive dashboards to analyze current on-premises licensing costs and usage
Identify opportunities for cost savings and efficiency gains through cloud migration
Recommend specific cloud services and providers based on data analysis
Track progress and success of cloud transformation initiatives through dashboard metrics
Q5. Building customer propensity & scoring models based on existing portfolios.
Building customer propensity & scoring models based on existing portfolios involves analyzing customer behavior and characteristics to predict future actions.
Utilize historical customer data to identify patterns and trends
Segment customers based on demographics, behavior, and preferences
Develop predictive models using machine learning algorithms
Validate and refine models through testing and iteration
Implement models to score customers based on their likelihood to take certain...read more
Q6. Metrics that you would track for a gaming company
Metrics to track for a gaming company
Player acquisition cost (CAC)
Monthly active users (MAU)
Daily active users (DAU)
Retention rate
Churn rate
Average revenue per user (ARPU)
Lifetime value (LTV)
Conversion rate
Time spent in-game
Number of downloads
Ratings and reviews
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Q7. How does Redshift works?
Redshift is a cloud-based data warehousing service provided by Amazon Web Services (AWS).
Redshift is based on PostgreSQL and uses a columnar storage technique.
It allows users to store and analyze large amounts of data in a cost-effective manner.
Redshift uses nodes to store data and can scale up or down based on demand.
It also supports various data integration tools and can be integrated with other AWS services.
Redshift provides various security features such as encryption and...read more
Q8. Difference between outer join and inner join.
Outer join returns all records from both tables while inner join returns only matching records from both tables.
Inner join returns only the matching records from both tables.
Outer join returns all records from both tables and fills in null values for non-matching records.
Inner join is used to retrieve data from two or more tables based on a common column.
Outer join is used to retrieve data from two or more tables where some records may not have a match in the other table.
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Lead - Business Intelligence Jobs
Q9. Different types of joins in SQL
Different types of joins in SQL
Inner Join: returns only the matching rows from both tables
Left Join: returns all the rows from the left table and matching rows from the right table
Right Join: returns all the rows from the right table and matching rows from the left table
Full Outer Join: returns all the rows from both tables, with NULL values in the columns where there is no match
Cross Join: returns the Cartesian product of both tables
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