How to Choose the Right Business Observability Platform
- Oct 21, 2025
- Blogs
- 6 min read
Scene: Meera, Head of Technology at ABC Bank, meets Arjun, Head of Enterprise Architecture at a technology services firm, after an industry roundtable. Meera is leading the evaluation of a high-performance business observability solution for her bank.
Meera: Arjun, we’re evaluating observability platforms for our bank. It’s challenging to make a decision in a crowded market. Everyone claims they are the best. How and what should I focus on to make the right choice?
Arjun: Meera, start with ensuring the platform speaks both languages — business and IT. From a business perspective, the platform should be able to provide your specific domain/business context. For e.g.: Say your payment API is slowing down and it is delaying payment transactions or a failed batch job has delayed loan settlements. The platform should not just tell you what failed but also how it failed and, most importantly, tell you the impact the failure or delay has on customer experience and compliance. Essentially, it should give you complete visibility into the payment transaction journey.
From an IT perspective, it should address failures, downtime, transaction latency, errors/exceptions, and the underlying IT stack by correlating diverse data sources, including logs, traces, and metrics. It should have a solid ingestion mechanism, real-time correlation, and scale to handle citizen-scale transaction volumes.
And most importantly, the platform must tie both perspectives and provide a unified view for impactful decision-making.
Meera: That makes sense. Many tools claim “real-time,” but what does that actually mean at citizen-scale?
Arjun: It means no blind spots. The platform should stitch together events across synchronous and asynchronous transactions. Think of an IMPS transfer – initiated on mobile, validated via an API, settled in CBS (Core Banking System), acknowledged via SMS. If one leg is delayed, you need visibility across the chain.
A large NBFC stress-tested this by replaying GST filing data, ensuring ingestion without drop and correlation within seconds, which boosted their confidence.
Meera: And business leaders will ask — how does this translate into outcomes, not just IT efficiency?
Arjun: Outcomes come from business-contextual insights and AI-driven analytics. AI can surface fraud, anomalies, and customer journey risks before they become escalations. One large private bank identified that customers were churning due to technical declines. By reducing the technical declines to less than 0.5%, the bank could substantially reduce customer churn (impacting $100 million per year of transaction value). Another private bank detected and removed duplicate transactions resulting in an improvement in debit reversal success rate for instant payments from 73% to 83%.
Meera: What about flexibility — deployment, scalability, and integration? Our systems are sensitive to interference.
Arjun: That’s where design matters. Look for solutions with:
- Open standards like OpenTelemetry to avoid lock-in.
- Deployment flexibility — on-premise, hybrid, or cloud-native.
- Ease of integration — minimal intrusion into your core systems.
- Ability to read any kind of data — logs, traces, events, real-time user data, without requiring heavy rewrites.
Meera: And role-based usability? My teams span operations, risk, compliance, and IT.
Arjun: Exactly. The platform should allow role-based dashboards. Business leaders see revenue-at-risk, risk officers see compliance adherence, and IT sees system health. Custom dashboards, drill-downs, and contextual reporting should be easy to configure.
Meera: So, in summary, we need a platform that is both technically robust and business-aware. Can we outline the critical considerations clearly?
Arjun: Absolutely. Here is a checklist you can use.
Key Considerations When Selecting a High-Performance Business Observability Platform
Fig 1: Checklist for selecting the right Business Observability Platform
Business Alignment | Domain Context: Links IT metrics and issues to business journeys (UPI, lending, trade finance) |
Business Insights: Provides contextual, AI-driven insights. E.g., revenue at risk, fraud patterns, anomalies, trend forecasts, loss of customer experience, and trust | |
Role-based views: Dashboards for CXOs, operations, customer support, relationship managers, compliance, and IT teams | |
Outcome-driven ROI: Demonstrates clear cost savings, risk reduction, or revenue impact | |
Data Handling & Integration | Ease of data ingestion: Handles diverse data sources at scale (core banking, APIs, payment switches, partner systems) |
Ability to read any type of data — structured, unstructured, streaming, historical | |
No data loss during ingestion, with guaranteed event delivery | |
Seamless integration with minimal interference to existing systems | |
Correlation & Visibility | End-to-end transaction tracing with event stitching, including asynchronous legs |
Complete visibility across systems, partners, and customer touchpoints | |
Backlog detection and alerting, and even automating to prevent transaction pile-ups | |
Strong data correlation to link technical events with business KPIs | |
Architecture & Deployment | Open Standards: Built on OpenTelemetry to ensure flexibility and avoid vendor lock-in |
Scalable for India-scale transaction volumes | |
High availability and disaster recovery readiness | |
Data Pipeline Strength: Reliable ingestion, storage, and retrieval at scale | |
Deployment Flexibility: On-premise, cloud, hybrid as per regulatory needs | |
Usability & Adoption | Ease of Customization: Quick setup of new journeys, workflows, dashboards, reports and KPIs |
Custom Dashboards & Role-Based Views: Tailored perspectives for IT, business, compliance, and operations | |
Security & Privacy | Data privacy controls aligned with RBI and data protection guidelines |
Secure database/pipeline management for sensitive financial data | |
Role-based access to dashboard – See and access only what the role demands | |
Implementation & ROI | Quick implementation with a phased rollout approach |
Solution partner deploys solution engineers who can help realise the full potential of the solution and configure/customize the solution, and create a perfect fit for your business. Essentially demonstrating ‘skin-in-the-game’ | |
Proof-of-value exercises using real bank data before full-scale adoption |
Meera: That’s a comprehensive checklist. If we use this as our evaluation framework, we can defend both the business case and the technical choice.
Arjun: Exactly. High-performance business observability is about context, scale, and insight. Get that right, and you not only justify the investment but future-proof it. And remember another thing. Selecting a business observability platform isn’t just about comparing feature lists. It’s about choosing a strategic partner that will:
Fig 2: Considerations for the right partner
Meera: Thanks, Arjun. I thought the crowded market made the selection of a tool tough. But it turns out to be simpler: Find the partner who unites business and IT.
Arjun: Exactly. You’re not picking a tool, you’re picking the right partner. Good Luck, Meera.
