To meet the client's tight timeline and complex requirements, ITRex put together a cross-functional audit team that included a senior solution architect, lead business analyst,
data consultant,
DevOps specialist, and
QA lead. They worked together to create a detailed audit plan that covered infrastructure, databases and data platforms, development and QA workflows, and architecture.
Over a six-week period, our team held five in-depth workshops with client stakeholders, allowing for simultaneous analysis of technical systems and business requirements.
The core assessment areas included:
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Cloud infrastructure: resource allocation, network setup, storage integrity, backup strategies, and data security protocols
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Data platforms and database management: data models, data pipelines, retention policies, synchronization across sources, and consistency of key business data
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Delivery & deployment: CI/CD pipelines, Git workflows, QA workflows, release plans and stability, DevOps tooling
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Application architecture: tech stack versions, component structure, code quality, and architectural best practices
We also broadened the scope of the audit to include the platform's functional structure and developed a disaster recovery plan to ensure business continuity in high-risk scenarios.
Data platform assessment: streamlining analytics, reporting & governance
As part of the overall infrastructure audit, ITRex conducted a
data platform assessment to determine the system's readiness for dependable analytics, reporting, and data-driven decision-making. Our consultants concentrated on five key dimensions:
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Data processing & pipelines. We investigated the quality, timeliness, and structure of the data flows.
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Data modeling practices. Our team assessed the consistency and clarity of business logic across models, identifying redundancies and inefficiencies.
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Reporting layer audit. ITRex examined current dashboards and KPIs to identify performance issues, broken logic, and governance gaps.
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Platform reliability & scalability. The ITRex data consultants identified the causes of delayed updates and pipeline instability, which affected the client’s daily operations and processes.
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Future-readiness. We explored how the data platform could evolve into a centralized operational data hub (ODH) to support the customer’s long-term analytics and AI implementation goals.
This analysis produced a standalone data platform assessment report with detailed findings, issue summaries, and tailored recommendations. We also developed a phased roadmap for overhauling the data environment, whether by improving the current system or migrating to a modern data platform solution.
The IT infrastructure audit deliverables included the following:
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Infrastructure diagram that depicts all IT systems and their interconnections
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Application component map, which outlines module relationships, dependencies, and points of failure
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Data platform architecture diagram detailing ingestion, processing, modeling, and reporting workflows
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Bottleneck analysis that identifies key system constraints and proposed fixes
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Disaster recovery plan, which is designed to mitigate risk and ensure business continuity
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Cost optimization strategy that highlights potential areas for infrastructure savings
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Transformation roadmap covering immediate fixes and long-term modernization steps across the platform