Improve Efficiency and Decision-Making with Near-Realtime Revenue Analysis

The client, a leading background check company in the United States, wanted to support their financial operations with comprehensive insights into revenue trends and anomalies.

Improve Efficiency And Decision Making With Near Realtime Revenue Analysis 1

About the client

Big Data
Amazon Kinesis

This article describes a real-life project. However, we cannot disclose our client’s name for privacy purposes.

The client is a United States-based background check service provider, offering services such as identity verification, criminal history checks, and employment checks, with an annual revenue of over $700 million in 2023. The company’s revenue is mainly generated through individual orders, and they need a way to examine the revenue stream on a broader scale in real time. Therefore, they have looked to RKTech – Rikkeisoft’s US-based subsidiary – as a development partner.

Project Overview


Information Technology


Amazon Kinesis


United States




Enhanced Revenue Visibility

One of the client’s goals was to achieve real-time visibility into their revenue streams. Individual, non-recurring orders with bulk order discounts and upfront fees made analyzing trends and forecasting future income a challenge. Multi-currency transactions with dynamic exchange rates further complicated the picture, limiting the client’s ability to track revenue patterns and predict future income. By unifying sales pipeline data with real-time revenue information, the goal was to forecast future income, anticipate potential variations, and ultimately enable proactive financial planning for data-driven decision-making.

Proactive Issue Identification

Early detection of issues like miscalculations, pricing errors, or fraudulent activity was crucial for minimizing revenue leakage. By implementing a system that continuously monitors real-time revenue data, the goal was to proactively identify any deviations from expected patterns. This would allow for timely interventions and corrective measures, ensuring the accuracy of revenue streams and protecting the company’s financial health.

Improved Decision-Making

Access to real-time revenue data would empower the company to make data-driven decisions that optimize financial performance. This included tailoring pricing strategies, segmenting customers for targeted marketing, and strategically allocating resources towards the most profitable channels and services.

Increased Efficiency

Before, manual report generation and data analysis consumed significant time and resources. The goal was to automate these tasks, allowing staff to focus on higher-level activities. This would involve automating report generation, streamlining data aggregation, and minimizing manual data entry.


Near-Realtime Revenue Analysis System

The solution implemented by RKTech was a Near-Real-Time Revenue Analysis System. This system continuously ingests data from the existing billing system, processes it in near real-time, and provides valuable insights into revenue performance.

    Key functionalities include:
  • – Data Consolidation: Merges order, customer, and account information while excluding data from test accounts to ensure accurate analysis.
  • – Real-Time Aggregation and Analysis: Summarizes revenue data across various dimensions like hour, day, customer, and other relevant factors. This allows for immediate identification of trends and patterns.
  • – Anomaly Detection: Continuously monitors revenue data for unusual patterns such as sudden spikes, deviations from expected trends, and potential inconsistencies.
  • – Proactive Issue Alerting: Flags potential issues when pre-defined thresholds for deviations are exceeded and alerts senior executives, enabling timely corrective actions.
  • – Multi-Currency Support: Handles transactions in various currencies, accounting for dynamic exchange rates to provide an accurate picture of global revenue.

By implementing this system, the client company gained a real-time and comprehensive view of their revenue streams, empowering them to make informed decisions and optimize their financial health.


The implemented Near-Real-Time Revenue Analysis System transformed the client’s financial operations by providing immediate revenue insights, enabling data-driven decisions on resource allocation, pricing, and budgets, and facilitating proactive identification and mitigation of financial risks. This empowered the CEO and CFO to steer informed financial strategies, ensure long-term financial health, and achieve sustainable business growth.

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