Player Reconciliation for Accurate Multi-Operator Player Balances

About Client

The client is a gaming company based out of Europe, providing stand-alone and integrated gaming technologies and services. They are the market leaders in game development, delivering a product suite of over a hundred games including bingo, classic and video slots, table games, scratch cards, and network jackpots.

Background

Gaming reconciliation and payment reconciliation for iGaming are becoming essential capabilities for B2B organizations that operate in highly dynamic online environments. In today’s ecosystem, where B2B online gaming providers rely heavily on vast datasets to support millions of players, the ability to manage data effectively is directly linked to operational accuracy and customer trust. 

For B2B organizations, the focus has increasingly shifted toward using BI and Big Data to provide top-notch service while lowering expenses, and this is especially true in gaming reconciliation use cases.

For online gaming providers, the internet is the marketplace, serving diverse customers across multiple countries who interact with their products every day. In this context, payment reconciliation for iGaming becomes critical because providers must interpret, connect, and validate data coming from several operator systems. 

When data is spread across different locations or networks, integrating it for reporting and analysis becomes a major advantage. It allows market suppliers to gain a single, holistic view of their business, improve accuracy, and spot hidden opportunities.

Gaming reconciliation challenges typically stem from fragmented data flows. In this client scenario, data was distributed across multiple operators, each with its own structure, formats, and reporting styles. 

Without a consolidated view, reconciliation and reporting become time-consuming and error-prone. For a business operating at this scale, seamless payment reconciliation for iGaming is not just a technical requirement—it directly impacts player balances, revenue tracking, and operational transparency.

Challenge

  • The client is a B2B online gaming provider managing data from four different operators with a combined player base of over 4.5 million.
  • All four operators were using disparate data sources, creating difficulties in maintaining accurate gaming reconciliation.
  • The client needed to consolidate all data into a single database to reconcile player balances coming from summary tables, transaction tables, and multiple reports.
  • The absence of a unified data structure resulted in delays and inefficiencies while validating balances.
  • Each operator handled transactions differently, further complicating payment reconciliation for iGaming at scale.
  • The client required a dependable process to calculate and verify opening balances, total credits, total debits, and accurate closing balances for every player.

Our Solution

To solve this, the reconciliation process was executed in a structured and systematic manner:

  • Calculated the opening balance of all players using data extracted from the transaction table.
  • Calculated the total transaction amount credited to each player account, including purchases, wins, and similar credit-side activities.
  • Calculated the total transaction amount debited from each player account, including bets, redemptions, and related debit transactions.
  • Calculated the closing balance of all players using the transaction table.
  • Reconciled the entire process using the formula:

Opening Balance of the year + (Transaction Amount (Credit) – Transaction Amount (Debit)) – Closing Balance of the year = 0

This method ensured that inconsistencies were identified, corrected, and validated across all operators.

Outcome

  • The client now has a unified, holistic view of their entire business in one place, resulting in better insights and more reliable data interpretation.
  • The gaming reconciliation solution ensures accurate and consistent player balances across all operators.
  • The reconciliation process is flexible, enabling teams to apply date-range filters for validating historical or real-time data.
  • Consolidation of all sources supports a repeatable approach for payment reconciliation for iGaming.
  • The client has achieved greater clarity, improved accuracy, and increased confidence in their operational reporting.

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