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Accelerate incident response for financial services

Ensure service availability of customer-facing systems by equipping ITOps teams with actionable incidents for quick investigation and response.

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Data Engineering

Distill incidents into action

Uninterrupted operations and performance in complex environments

In a competitive industry, ensuring uptime of mission-critical services is essential to maintain customer trust and avoid financial loss and regulatory scrutiny.

Drive and retain customer loyalty

Safeguard core financial services by preemptively catching outages with AI-powered analysis, ensuring seamless user experiences, and delivering always-on, best-in-class solutions to customers.

Drive and retain customer loyalty
Modernize legacy systems

Modernize legacy systems

Bridge on-premises and cloud topology sources into a unified view, navigating past standard CMDB gaps and advancing digital transformation initiatives.

Reduce regulatory penalties and fees

Apply BigPanda Unified Analytics reporting and easy-to-access audit logs to prove incident management compliance, identify potential risks, and swiftly address compliance concerns across your IT operations.

Reduce regulatory penalties and fees
Deliver actionable incidents

Deliver actionable incidents

Accelerate incident resolution by providing operators with a unified, full-context view to enable proactive issue prioritization and clear, actionable paths based on enriched, relevant data.

Gain end-to-end visibility

Achieve comprehensive oversight across third-party services and managed service providers by centralizing event data across disparate sources for incident-response management and value-driven rationalization.

Gain end-to-end visibility
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FAQ

Does BigPanda work across hybrid systems?

BigPanda supports both on-premises and cloud-based workloads, offering integration with various monitoring and observability tools. Through the BigPanda Open Integration Manager, it facilitates custom integrations as well. By unifying on-premise and cloud topologies, BigPanda provides comprehensive visibility across environments, helping identify improvement opportunities to enhance digital transformation efforts.

How does BigPanda keep data secure in highly regulated industries?

BigPanda utilizes industry-standard security technologies and protocols to ensure robust protection of your data against unauthorized interactions throughout its lifecycle. This approach guarantees the confidentiality and integrity of your data, whether it’s being transmitted, stored, or processed, maintaining security at each step. Customer data is secured in-transit and at-rest using industry-standard encryption. In addition, BigPanda’s security controls are validated by independent auditors through an annual SOC 2 Type II security audit, and we conduct independent penetration testing of the BigPanda platform. BigPanda maintains a Customer Trust portal where customers can find security documentation and answers to security questions.

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How does BigPanda provide additional context for incidents?

BigPanda enhances incident context by ingesting and normalizing data from diverse sources, including topology, CMDB, and change data, facilitating smoother team collaboration. BigPanda employs multidimensional alert correlation and AI analysis to offer deeper insights and automated root cause analysis, enabling quick, informed decision-making. This comprehensive approach allows IT teams to identify and resolve incidents efficiently, providing a holistic view of system interconnectivity and operational impacts.

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