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Casino analytics software and iGaming BI

Understand every part of your casino

Casino BI and iGaming business intelligence for online casino owners and operational teams. Explore revenue, acquisition, player retention, bonus costs and game performance, with AI questions, KPI alerts and forecasting in context.

Discuss your analyticsExplore casino analytics directions
AnalyticsA connected investigation

Where is the result moving?

  • Revenue & activity
  • Player groups & mix
  • Relevant cost records
Follow the question

Read the business as a connected whole

Carry the same definitions and period from the overall result into each analytical direction.

Explore business performance

Casino analytics software

An iGaming BI platform built around operator decisions

Casino BI, or casino business intelligence, connects the operator’s own revenue, player, acquisition, bonus and game records through shared metric definitions. AskData brings that analytical view, an AI question interface and KPI monitoring into one product family.

Start with a business result, then follow the brand, player group or cost that explains the movement. A management report, a cohort comparison and a promotion review retain the definitions that make their figures comparable. iGaming AI analytics adds a way to ask the next question in plain English while keeping the underlying comparison in view.

Operator questionAnalytical outputWhere to continue
How is the casino performing?GGR, defined NGR, activity and relevant cost breakdowns.Revenue and performance analytics
Which sources bring value?Same-age acquisition cohorts with source costs and observed value.Acquisition and affiliate analytics
What does a bonus cost?A reconciled incentive review with population and outcome window.Bonus and promotion analytics
Which reporting work can be repeated?A defined management review with source checks and a path into the detail.Casino reporting automation

Six directions

The whole business, in context

Business performance

Follow changes in the overall result back to periods, player groups, activity and available cost records.

Explore casino performance analytics

Marketing & acquisition

Look beyond first deposits to the cost and observed value of the players each source brings.

Explore acquisition and affiliate analytics

Product analytics

Understand player retention, activation and observed churn across comparable cohorts. Connect the product journey with the business result.

Explore player retention analytics

Promotions

Read incentive cost beside campaign participation and subsequent behavior, with a clear comparison method.

Explore casino bonus analytics

Games & content

Explore game categories, player reach, repeat play and the mix of activity across the catalogue.

Explore game and provider analytics

Game providers

Bring provider-level performance together with content mix, promotional support and commercial cost.

Explore game and provider analytics

One investigation

One question can cross the whole business

A business result can span several directions. A promotion affects a group of players, those players arrive through channels, and their activity flows through games and providers.

Keep the comparison consistent as you move between those views. The same period, currency and population make it possible to understand whether two reports describe the same movement. Different definitions of revenue or incentive cost can otherwise create a disagreement that looks like a business change.

Start hereConnect it withThe next question
Revenue movementPlayer groups and game mixWhere is the movement concentrated?
Acquisition volumeCohort value and source costWhich sources justify another budget test?
Promotion activityIncentive use and comparison groupsWhat changed, and what can be attributed to the offer?
Provider GGRReach, repeat play and commercial termsWhat contribution sits behind the ranking?

Look ahead

Look at what may come next

Forward-looking questions belong beside the history that informs them. Revenue, active players, return activity, promotional demand and game demand can all shape a planning conversation.

A useful forecast defines the target, horizon and assumptions. Read a projected range beside the recent pattern and the conditions under which that pattern could change. Explore forecasting within Analytics to define the planning question and keep it connected to the actual result.

Revenue and activity

Explore the relationship between recent activity, the player base and a future planning window.

Promotions and demand

Consider how the campaign calendar and game demand may change the conditions ahead.

Assumptions and range

Keep the observation period, projected range and assumptions attached to any forward-looking answer.

Read consistently

Know what goes into the number

GGR, NGR and contribution are related, but their scopes matter. Before comparing brands, sources or providers, agree which incentives, taxes and fees are included, where transactions are assigned and how currencies are handled.

The casino metrics research gives a practical definition checklist. The multi-brand reporting scenario shows how to build those checks into a management view.

Plan your analytics

Bring one question and the report behind it

The multi-brand reporting workflow and text-to-SQL evaluation guide provide practical briefs for that discussion.

  1. Choose a useful first review

    Name a recurring revenue, acquisition, retention or bonus question and the team that uses the answer.

  2. Map the records and definitions

    Bring the source reports, brand and currency scope, reporting calendar and agreed measures. Identify data gaps before comparing results.

  3. Agree the implementation scope

    Discuss source access, refresh and delivery needs, permitted data, validation and operating responsibilities for your casino.

  4. Check an answer together

    Compare a representative result with a trusted report, then follow a narrower question using the same definitions.

Common questions

Choose your starting point

What does casino BI cover?

Casino business intelligence connects operational measures with the decisions behind them: defined GGR and NGR, player activity, acquisition costs, bonus spending and game performance. Start with a comparable management view, then inspect the brand, cohort or cost behind a change. The multi-brand reporting use case shows the definitions and reconciliation a shared view needs.

How does AI analytics fit with iGaming BI?

BI organises the measures and business directions. An AI analyst lets an operator ask a question in plain English and follow a narrower investigation; Insights brings KPI changes into view. The metric, reporting period and data scope still need to be checked when interpreting an answer.

Do I need to start with a particular discipline?

Start with the business question. An overall performance change may lead to marketing, promotions or a part of the game catalogue.

Where does player retention fit?

Return activity is useful context for several decisions. It helps distinguish acquisition cohorts, investigate a promotion and understand changes in the active player base.

How do Insights connect to Analytics?

Insights brings a change into view. Analytics provides the directions for investigating its business context.

Keep exploring

Research

Casino reporting automation

Learn how to automate casino reporting with consistent KPIs, source reconciliation, multi-brand reviews, monitoring and AI follow-up questions.

Read the casino reporting automation guideUse case

Bring brand reports into one view

A portfolio review that can be traced back to each brand and source.

Read the multi-brand reporting use caseProduct

AskData

Ask an AI casino analyst about revenue, retention and bonus costs in plain English. Explore natural language analytics, text-to-SQL and checkable metric definitions.

Explore the AI casino analyst

Discuss Analytics

Tell us about your casino and the decisions you want to understand.

Contact AskData