SAPM monogram logoSHAHID AL PARVEZMALIK

IT OPERATIONS CASE STUDY

IT Operations Dashboard

ITSM analytics, SLA performance and operational decision-making

A portfolio proof of concept showing how ticket-level ITSM data can be transformed into operational insight. The focus is on decision support: identifying service-performance patterns, tracking agreed service targets and helping managers prioritise improvement work.

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Operational problem

IT teams can accumulate large volumes of incident and request records without turning them into clear management decisions. This case study demonstrates a practical reporting approach for reviewing service performance and recurring patterns.

Key capabilities

Conceptual architecture

ITSM incident records (synthetic/sample data) ↓ Data preparation and metric definitions ↓ Service-performance measures (SLA, MTTR, FCR, reopen rate) ↓ Dashboard visualisation and trend review ↓ Prioritised operational improvement actions

Technology and methods

ITSMPower BIData visualisationSLA reportingMTTRFCROperational analytics

Management relevance

The dashboard is intended to support service reviews, expose recurring operational patterns and give IT leaders a clearer evidence base for discussing service quality and improvement priorities. Metrics should be interpreted with service context; no single KPI tells the whole story.

Scope and evidence

The linked repository is the technical proof-of-work. The repository documents a 1,200-record synthetic ITSM dataset, KPI definitions, reproducible Python data generation and a Power BI implementation guide. The sample data is for portfolio demonstration, not production customer data.

Related case studies

About the author

Shahid Al Parvez Malik is a Senior IT Infrastructure & Service Delivery Manager focused on IT operations, enterprise infrastructure, ITSM, service performance, vendor coordination and practical AI-assisted operational improvement.

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