Advanced IT Business Analyst Course

Course Category : Information Technology

This advanced course equips IT and business professionals with cutting-edge analytical tools, process modelling techniques, and data-driven methods to enable strategic decision-making and digital transformation.
Duration: 5 Days
Level: Advanced

Introduction

The role of an IT Business Analyst has evolved into a strategic function bridging the gap between business objectives and technological solutions. In today’s rapidly changing digital environment, advanced analytical and communication skills are essential.
This advanced course provides participants with practical expertise in business process modelling, requirements engineering, IT solution design, and data analytics. Through hands-on exercises and real-world case studies, learners will master the competencies necessary to lead digital transformation initiatives, improve system efficiency, and deliver sustainable business value..

Targeted Specializations

  • Senior IT Business Analysts.
  • IT Project Managers.
  • Digital Transformation Consultants.
  • Solution and Enterprise Architects.
  • Product and Process Managers.

Targeted Skills

  • Advanced business process modelling and analysis.
  • Requirements engineering and lifecycle management.
  • IT solution design and architecture alignment.
  • Data analytics and business intelligence application.
  • Agile and digital transformation methodologies.

Expected Outcomes

  • Analyse and model business processes using BPMN and UML.
  • Develop measurable, verifiable IT requirements.
  • Design IT solutions aligned with organisational strategies.
  • Apply analytics and AI tools to support decision-making.
  • Implement Agile and Scrum principles for effective collaboration.
  • Enhance stakeholder engagement and communication.
  • Strengthen strategic planning and financial analysis in IT projects.
  • Gain advanced knowledge of enterprise architecture frameworks.

Training Topics Index

  • Apply BPMN and UML for complex business workflows.
  • Identify process inefficiencies and operational bottlenecks.
  • Implement process reengineering and continuous improvement.
  • Leverage automation tools and AI to optimise performance.

  • Apply advanced elicitation techniques for stakeholder engagement.
  • Document requirements using BRD and SRS standards.
  • Ensure traceability and change management throughout projects.
  • Validate and verify requirements to maintain alignment with goals.

  • Understand and apply enterprise architecture frameworks.
  • Design scalable and flexible IT solutions.
  • Integrate cloud, AI, and IoT technologies into IT systems.
  • Incorporate security, compliance, and governance principles.

  • Use BI tools such as Power BI and Tableau for decision support.
  • Develop data visualisations and dashboards for insight generation.
  • Apply predictive analytics to identify business opportunities.
  • Ensure data accuracy, privacy, and ethical use.

  • Apply Agile, Scrum, and Kanban practices in IT analysis.
  • Enhance collaboration between IT and business units.
  • Manage digital transformation projects for innovation and agility.
  • Evaluate transformation outcomes through measurable KPIs.

Course Features

  • Modern and practical content
  • Real-world examples and leadership exercises
  • Pre- and post-course assessments to measure impact
  • Accredited certificate with QR code verification

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