10+ Lead - Business Intelligence Interview Questions and Answers

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

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

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

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

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

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

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

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

DATEDIFF() calculates the difference between two dates, while DATESINPERIOD returns a range of dates within a specified period.

• DATEDIFF() returns the number of intervals (days, months, years) between two dates. Example: DATEDIFF('2023-01-01', '2023-01-10', DAY) returns 9.

• DATESINPERIOD() generates a table of dates within a specified time frame. Example: DATESINPERIOD('2023-01-01', 10, DAY) returns dates from '2023-01-01' to '2023-01-10'.

• DATEDIFF() is useful for calculating age...read more

Crossfilter allows data to be filtered across multiple visuals, while cross-highlight emphasizes related data without filtering.

• Crossfilter applies filters to all visuals, showing only relevant data across the dashboard.

• Example: Selecting a region in a map filters sales data for that region in a bar chart.

• Cross-highlight highlights related data points in visuals without removing unrelated data.

• Example: Hovering over a bar in a chart highlights corresponding data points in a l...read more