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Statscog Labs

Case Studies

Statscog Labs has delivered technology consulting, implementation, integration, automation, infrastructure, cybersecurity, AI, and managed services across multiple industries. The following case studies highlight how we help customers address business challenges with practical, scalable, and outcome-driven solutions.

1. Trade Finance Automation Using AI

Domain

Banking and Financial Services

Business Challenge

A banking customer wanted to reduce manual effort in trade finance document processing. The existing process required significant human review for document scrutiny, classification, validation, and exception handling. This resulted in longer turnaround time, inconsistent review outcomes, and high dependency on repetitive manual effort.

Solution Delivered

Statscog Labs designed an AI-led document processing workflow to support trade finance automation. The solution combined document digitization, AI-based classification, data extraction, scrutiny-check automation, and human-in-the-loop exception handling.

The solution included:

  • Development and support of IICS mappings, taskflows, and transformations.
  • Integration between ERP, payroll, and cloud applications.
  • SFTP-based file monitoring and automated ingestion.
  • Cloud application integration for business process flows.
  • 24×5 managed support for issue resolution and enhancements.
  • Ongoing roadmap support for future integrations.

Business Impact

  • Faster document turnaround.
  • Reduced manual review effort.
  • Improved consistency in document validation.
  • Lower rework and operational dependency.
  • Better analyst productivity through AI-assisted processing.

2. Managed IICS Services for a Healthcare Customer

Domain

Healthcare and Life Sciences

Business Challenge

A US-based healthcare customer needed reliable support for a complex enterprise integration environment involving ERP systems, payroll interfaces, cloud applications, and recurring file-based data processing. The customer required continuous monitoring, issue resolution, enhancement delivery, and stable business-critical data movement.

Solution Delivered

Statscog Labs provided managed services for the customer’s Informatica Intelligent Cloud Services environment. The engagement covered cloud data integration, cloud application integration, cloud mass ingestion, SFTP-based file monitoring, and 24×5 support.

The solution included:

  • Development and support of IICS mappings, taskflows, and transformations.
  • Integration between ERP, payroll, and cloud applications.
  • SFTP-based file monitoring and automated ingestion.
  • Cloud application integration for business process flows.
  • 24×5 managed support for issue resolution and enhancements.
  • Ongoing roadmap support for future integrations.

Business Impact

  • Stable integration operations across ERP, payroll, and cloud systems.
  • Faster and more reliable movement of business-critical data.
  • Near-real-time file intake through continuous monitoring.
  • Improved support for healthcare operational processes.
  • Managed services model aligned to critical business workloads.

3. IBM Spectrum LSF Implementation for HPC Environment

Domain

Semiconductor and Engineering

Business Challenge

A semiconductor customer needed a robust high-performance computing scheduling foundation to manage compute-intensive engineering workloads. The customer required better job orchestration, queue management, resource control, and utilization of shared HPC infrastructure.

Solution Delivered

Statscog Labs implemented IBM Spectrum LSF to manage HPC workload scheduling, queue policies, cluster operations, and job execution. The solution supported simulation, design, research, and other engineering workloads.

The solution included:

  • IBM Spectrum LSF implementation and configuration.
  • Queue, policy, and workload scheduling setup.
  • Cluster component configuration for production usage.
  • Resource controls and workload governance.
  • Administrator enablement and operational handover.
  • Tuning guidance for efficient job execution.

Business Impact

  • Better workload orchestration across HPC resources.
  • Improved compute resource utilization.
  • Reduced queueing inefficiencies.
  • Stronger visibility into job execution and cluster operations.
  • Scalable foundation for engineering and research workloads.

4. Banking Data Protection and Database Activity Monitoring

Domain

Banking and Financial Services

Business Challenge

A private banking customer needed stronger control over sensitive data access across critical databases. The customer required better visibility into privileged user activity, high-risk database events, policy violations, and audit evidence for regulated financial operations.

Solution Delivered

Statscog Labs implemented IBM Guardium to support database activity monitoring, sensitive data protection, privileged user oversight, policy enforcement, and centralized audit reporting.

The solution included:

  • IBM Guardium implementation for database activity monitoring.
  • Sensitive data discovery and access monitoring.
  • Policy-based alerts for high-risk activity.
  • Privileged user tracking and monitoring.
  • Centralized audit trails and compliance reports.
  • Dashboards to support security operations and regulatory review.

Business Impact

  • Improved visibility into database access.
  • Stronger control over privileged and high-risk activity.
  • Better audit readiness.
  • Centralized evidence generation for compliance review.
  • Reduced risk of unauthorized access to sensitive banking data.

5. Enterprise Infrastructure Refresh with IBM Power and Storage

Domain

Enterprise IT and Infrastructure

Business Challenge

A customer needed to modernize aging infrastructure supporting business-critical workloads. The environment required improved compute performance, scalable storage, stronger resilience, and implementation support aligned to current and future business needs.

Solution Delivered

Statscog Labs supported IBM Power server and storage solution planning, sizing, implementation, and rollout. The engagement covered infrastructure assessment, architecture planning, deployment support, configuration, integration, and operational enablement.

The solution included:

  • IBM Power server solution planning and implementation.
  • IBM storage architecture design and deployment support.
  • Sizing and capacity planning for critical workloads.
  • Backup and growth-aligned storage planning.
  • Infrastructure integration and configuration services.
  • Knowledge transfer and operational handover.

Business Impact

  • Improved platform reliability for critical workloads.
  • Better infrastructure readiness for growth and modernization.
  • Scalable storage foundation.
  • Enhanced performance and operational continuity.
  • Single-partner delivery from solution design to deployment.

6. SIEM Implementation for Security Monitoring

Domain

Enterprise Cybersecurity and SOC Operations

Business Challenge

An enterprise customer needed stronger security visibility across servers, applications, databases, network devices, and cloud environments. The existing monitoring setup had limited log source coverage, high alert noise, and insufficient dashboarding for SOC operations.

Solution Delivered

Statscog Labs supported the customer with SIEM assessment, solution design, log source onboarding, detection use-case development, correlation rules, dashboards, and alert tuning.

The solution included:

  • Assessment of current security monitoring maturity.
  • SIEM architecture and log source onboarding plan.
  • Detection use-case design based on business and compliance risks.
  • Correlation rule configuration and alert tuning.
  • Dashboards for SOC monitoring and reporting.
  • Incident workflow alignment for faster investigation.

Business Impact

  • Improved threat visibility across the environment.
  • Better detection coverage for critical systems.
  • Reduced alert noise through tuning.
  • Faster triage of security incidents.
  • Stronger SOC readiness and compliance reporting.

7. IBM Maximo Asset Management Implementation

Domain

Manufacturing, Utilities and Asset-Intensive Operations

Business Challenge

An asset-intensive customer needed better control over maintenance operations, asset lifecycle, work orders, inventory, and service workflows. The customer wanted to improve asset visibility, reduce downtime, and standardize maintenance processes across teams.

Solution Delivered

Statscog Labs implemented IBM Maximo capabilities to support enterprise asset management, preventive maintenance, corrective maintenance, work order management, inventory visibility, and operational reporting.

The solution included:

  • Asset hierarchy and asset master configuration.
  • Preventive and corrective maintenance workflow setup.
  • Work order, service request, and inspection process configuration.
  • Inventory and procurement process alignment.
  • KPI dashboards and maintenance reporting.
  • User enablement, rollout support, and operational handover.

Business Impact

  • Improved asset visibility and maintenance control.
  • Better planning of preventive and corrective maintenance.
  • Reduced downtime through structured maintenance workflows.
  • Stronger operational governance.
  • Scalable asset management foundation for future expansion.

8. Full-Stack Observability Using IBM Instana

Domain

Digital Services, Application Operations and Enterprise IT

Business Challenge

A customer needed better visibility into application performance, infrastructure health, service dependencies, and user experience. The existing monitoring approach made it difficult to quickly identify root causes during incidents and understand the impact on business-critical services.

Solution Delivered

Statscog Labs implemented IBM Instana to provide full-stack observability across applications, infrastructure, middleware, and service dependencies. The solution enabled transaction tracing, performance monitoring, dependency mapping, and faster root-cause analysis.

The solution included:

  • IBM Instana implementation and configuration.
  • Application and infrastructure monitoring.
  • Service dependency and topology visibility.
  • Transaction tracing and performance analysis.
  • Dashboards for application and operations teams.
  • Root-cause analysis enablement for faster troubleshooting.

Business Impact

  • Improved visibility into applications and infrastructure.
  • Faster identification of performance issues.
  • Reduced mean time to detect and resolve incidents.
  • Better understanding of service dependencies.
  • Improved uptime for business-critical digital services.

9. High-Speed Data Transfer Using IBM Aspera

Domain

Media, Research, Engineering and Enterprise Data Exchange

Business Challenge

A customer needed to transfer large files and datasets securely across distributed teams, cloud platforms, and enterprise locations. Traditional file transfer methods were slow, inconsistent, and difficult to manage for high-volume data movement.

Solution Delivered

Statscog Labs implemented IBM Aspera to enable fast, secure, and reliable high-speed data transfer across hybrid environments. The solution supported user access control, transfer policy configuration, monitoring, and workflow integration.

The solution included:

  • IBM Aspera deployment and configuration.
  • Secure user access and transfer policy setup.
  • High-speed file and dataset transfer enablement.
  • Hybrid data movement across on-prem and cloud environments.
  • Transfer monitoring and operational visibility.
  • Workflow integration for enterprise data exchange.

Business Impact

  • Faster movement of large files and datasets.
  • Secure and controlled data exchange.
  • Improved collaboration across distributed teams.
  • Reduced transfer delays and operational dependency.
  • Scalable foundation for enterprise data movement.

10. IBM Engineering Lifecycle Management Implementation

Domain

Automotive, Aerospace, Industrial Engineering and Product Development

Business Challenge

An engineering organization needed better control over requirements, work items, testing, defects, approvals, and traceability. Teams required a connected digital thread across planning, development, validation, and compliance evidence.

Solution Delivered

Statscog Labs implemented IBM Engineering Lifecycle Management capabilities to support requirements management, workflow governance, test management, reporting, and end-to-end traceability.

The solution included:

  • IBM DOORS Next implementation for requirements management.
  • IBM Engineering Workflow Management for planning and change control.
  • IBM Engineering Test Management for test governance.
  • Traceability across requirements, work items, tests, and defects.
  • Dashboards and reporting for engineering teams.
  • Governance and user adoption support.

Business Impact

  • Improved requirements traceability.
  • Better change and workflow governance.
  • Stronger test and release readiness.
  • Improved collaboration across distributed engineering teams.
  • Audit-ready evidence across the engineering lifecycle.

Our Delivery Approach

Across all case studies, Statscog Labs follows a practical and outcome-driven approach. We assess the customer’s current environment, identify gaps and business priorities, design the right-fit solution, implement with structured delivery, and enable customer teams through documentation, handover, and support.

Our focus is to help customers achieve measurable outcomes in efficiency, security, compliance, performance, modernization, and operational resilience.