How Enteros Combines Cost Estimation, AIOps, and Observability to Drive RevOps Efficiency in the BFSI Sector

Introduction

The Banking, Financial Services, and Insurance (BFSI) sector is one of the most data-intensive industries in the world. Every transaction, loan approval, insurance claim, or investment decision depends on the accuracy, speed, and efficiency of underlying IT systems. As customer expectations rise and regulatory environments grow more complex, the BFSI industry faces increasing pressure to optimize both database performance and financial operations (FinOps).

This is where Enteros, a leader in AI-driven database performance management and observability platforms, provides transformative value. Its flagship solution, Enteros UpBeat, enables BFSI organizations to combine cost estimation, AIOps, and observability to maximize efficiency, optimize IT spending, and accelerate RevOps (Revenue Operations).

In this blog, we will explore how Enteros helps BFSI organizations overcome data management challenges, forecast and control costs, and improve database performance while strengthening RevOps efficiency.

The Challenges of the BFSI Sector in the Digital Era

1. Massive Transactional Data

Banks and insurers process millions of transactions per second. Even a slight slowdown in database performance can lead to payment delays, failed transactions, or customer dissatisfaction.

2. Complex Infrastructure

BFSI organizations often rely on hybrid and multi-cloud environments, hosting databases across AWS, Azure, Google Cloud, and on-premises systems. Managing costs and performance across such fragmented systems is difficult.

3. Rising Compliance Requirements

Strict regulations like GDPR, PCI DSS, and Basel III require continuous monitoring, auditability, and cost transparency in IT operations.

4. Cost Visibility Issues

Financial institutions spend heavily on cloud resources, licenses, and infrastructure. However, attributing costs to the right departments, workloads, or services remains a persistent challenge.

5. RevOps Misalignment

Without a unified system for observability, cost attribution, and performance tracking, RevOps teams lack the insights needed to align IT efficiency with revenue goals.

Enteros UpBeat: Transforming BFSI IT with AIOps and Observability

Enteros UpBeat is a patented SaaS platform that proactively identifies database performance and scalability issues across RDBMS, NoSQL, machine learning databases, and SaaS databases. It leverages advanced statistical AI, AIOps, and cloud FinOps practices to empower IT, FinOps, and RevOps leaders with actionable insights.

Key Capabilities for BFSI

1. Cost Estimation and Attribution

   • Provides granular visibility into cloud and database costs.

   • Accurately estimates costs for current workloads and forecasts future spending.

   • Attributes costs to specific business units, teams, or applications for accountability.

2. AI-Powered Observability

   • Uses statistical learning and anomaly detection to identify abnormal spikes, seasonal variations, or inefficiencies.

   • Correlates performance data with financial metrics to ensure databases run efficiently and cost-effectively.

3. AIOps-Driven Automation

   • Automates root cause analysis of database slowdowns or failures.

   • Reduces mean time to resolution (MTTR) by providing AI-driven insights for database administrators and DevOps teams.

   • Minimizes downtime in critical BFSI operations such as payments, trading, and claims processing.

4. RevOps Alignment

   • Centralizes performance, cost, and revenue impact data.

   • Enables RevOps teams to prioritize workloads and IT investments that directly boost revenue.

Real-World Use Cases in BFSI

1. Cost Forecasting for Cloud Databases

A leading global bank used Enteros to forecast cloud costs associated with expanding its digital payments infrastructure. By leveraging cost estimation and attribution, the bank avoided $50 million in unnecessary resource allocation while improving scalability.

2. Faster Resolution of Critical Outages

An insurance company experienced repeated database slowdowns impacting claims processing. Enteros’s AIOps platform identified the root cause in hours, while traditional methods had taken weeks without success. This saved millions in potential penalties and customer churn.

3. Improving RevOps Efficiency in Lending Services

By linking observability data with RevOps goals, a financial institution was able to streamline its loan approval system, reducing processing times by 40% and directly increasing revenue through faster customer onboarding.

Benefits of Enteros for BFSI

• Optimized Database Performance: Faster transactional and analytical processing across multi-database environments.

• Cost Transparency: Improved forecasting and accountability for cloud and infrastructure spend.

• Regulatory Compliance: Enhanced observability ensures data integrity and audit readiness.

• Productivity Gains: Reduced time spent on troubleshooting through automated RCA (root cause analysis).

• RevOps Efficiency: Direct alignment of IT performance improvements with business revenue goals.

Why Enteros Stands Out

1. Patented Technology – Recognized for its advanced statistical learning algorithms.

2. Multi-Database Support – Works seamlessly across SQL, NoSQL, ML databases, and SaaS.

3. Trusted by Global Enterprises – Adopted by Fortune 500 companies in highly regulated industries.

4. Recognition by Gartner – Featured across multiple Hype Cycles for cloud operations, monitoring, and observability.

Conclusion

The BFSI sector operates in an environment where database performance, cost transparency, and operational efficiency are mission-critical. Enteros provides a comprehensive solution that combines cost estimation, AIOps, and observability to drive RevOps efficiency and deliver measurable business outcomes.

By deploying Enteros, banks, insurers, and financial institutions can reduce costs, optimize IT operations, ensure compliance, and maximize revenue growth—all while providing a seamless digital experience for their customers.

Frequently Asked Questions (FAQ)

Q1. What makes Enteros different from traditional monitoring tools in BFSI?
Enteros goes beyond basic monitoring. Its AIOps-driven observability platform proactively detects anomalies, performs automated root cause analysis, and links performance metrics directly to financial outcomes, unlike traditional tools that only provide alerts.

Q2. How does Enteros improve RevOps efficiency in BFSI?
By aligning database performance metrics with cost attribution and revenue operations, Enteros enables RevOps teams to prioritize investments and workloads that generate the highest revenue impact.

Q3. Can Enteros integrate with multiple cloud providers used in BFSI?
Yes. Enteros supports AWS, Azure, Google Cloud, and on-premises systems, making it ideal for hybrid and multi-cloud BFSI environments.

Q4. How does Enteros help with cost estimation and attribution?
It provides detailed breakdowns of cloud database usage and costs, forecasts future expenses, and attributes them to specific departments or applications, ensuring accountability and financial control.

Q5. Is Enteros compliant with BFSI regulatory requirements?
Yes. Enteros’s observability platform ensures data integrity, transparency, and audit readiness, supporting compliance with GDPR, PCI DSS, Basel III, and other regulations.

Q6. Can Enteros scale with growing BFSI workloads?
Absolutely. Enteros is designed to handle large-scale, high-transaction environments, ensuring performance optimization even as BFSI organizations expand their digital services.