Introduction
This Advanced Data Analytics, Automation & Reporting training course equips working professionals with the advanced knowledge and practical techniques required to analyse complex datasets, automate data processes, and develop impactful reporting solutions for organisational decision-making. The training course focuses on transforming large volumes of structured and unstructured data into meaningful insights that support strategic planning, operational efficiency, and performance improvement. Participants will gain practical understanding of advanced analytics methods, data modelling, automation workflows, and reporting frameworks using modern analytical tools and technologies.
The training course also addresses the growing demand for data-driven decision-making in complex organisational environments. Participants will learn how to streamline data processes through automation, reduce manual intervention, improve accuracy, and enhance reporting efficiency. Emphasis is placed on integrating analytics with business objectives, designing dashboards, and delivering clear, actionable insights to stakeholders. With strong real-world relevance, the training course enables professionals to unlock the full value of data, improve operational transparency, and support informed, timely decision-making across TAHAKOM’s operational context.
This GLOMACS Advanced Data Analytics, Automation & Reporting training course will highlight:
- Advanced data analytics techniques for large and complex datasets
- Automation of data processing and workflow optimisation
- Data modelling and transformation for meaningful insights
- Development of effective reporting and dashboard solutions
- Alignment of analytics with organisational decision-making needs
Objectives
At the end of this Advanced Data Analytics, Automation & Reporting training course, you will learn to:
- Apply advanced analytics techniques to extract insights from complex datasets
- Design and implement automated data processing workflows
- Transform raw data into structured, meaningful information
- Develop dashboards and reports that support decision-making
- Align analytics outputs with TAHAKOM’s operational and strategic objectives
Training Methodology
This training course uses a structured and practical learning methodology that combines advanced analytics frameworks, automation techniques, data modelling approaches, and applied organisational scenarios. Participants will examine real data workflows, analytical models, automation tools, and reporting structures relevant to operational environments. Emphasis is placed on improving analytical thinking, strengthening technical capability, and enabling participants to translate data into actionable business insights effectively.
Organisational Impact
This Advanced Data Analytics, Automation & Reporting training course will enable organisations to:
- Improve decision-making through advanced data insights
- Increase efficiency through automated data processes
- Enhance reporting accuracy and timeliness
- Reduce manual effort and operational inefficiencies
- Strengthen data-driven culture and performance monitoring
- Align analytics outputs with TAHAKOM’s strategic goals
Personal Impact
Participants will develop:
- Advanced analytical and data interpretation skills
- Ability to automate data workflows and processes
- Strong capability in data modelling and transformation
- Confidence in developing dashboards and reports
- Improved decision-making based on data insights
- Enhanced professional credibility in data and analytics roles
Who should Attend?
This GLOMACS Advanced Data Analytics, Automation & Reporting training course is designed for professionals responsible for data analysis, reporting, and decision support across organisational functions.
- Data Analysts and Business Intelligence Professionals
- Operations and Performance Analysts
- IT and Data Management Specialists
- Reporting and Dashboard Developers
- Process Improvement and Automation Professionals
- Managers involved in data-driven decision-making
Advanced Data Analytics Foundations
- Overview of advanced analytics in organisational contexts
- Types of data and handling large datasets
- Data preparation and cleansing techniques
- Exploratory data analysis and pattern identification
- Statistical methods for data analysis
- Introduction to data modelling concepts
Data Transformation and Modelling
- Structuring and transforming raw data
- Data integration from multiple sources
- Building data models for analysis
- Handling complex datasets and relationships
- Data quality considerations in analytics
- Preparing datasets for reporting and automation
Automation of Data Processes
- Principles of data automation and workflow design
- Automating data extraction, transformation, and loading (ETL)
- Reducing manual intervention in data processes
- Scheduling and managing automated workflows
- Ensuring accuracy and consistency in automated systems
- Monitoring and maintaining automated processes
Reporting and Dashboard Development
- Designing effective reports and dashboards
- Data visualisation principles and best practices
- Selecting appropriate metrics and KPIs
- Building interactive and dynamic dashboards
- Communicating insights to stakeholders clearly
- Ensuring reporting alignment with business objectives
Advanced Applications and Continuous Improvement
- Integrating analytics with decision-making frameworks
- Performance monitoring and reporting systems
- Advanced analytical tools and technologies
- Continuous improvement in analytics and reporting processes
- Data governance and compliance considerations
- Action planning for analytics, automation, and reporting excellence
- Upon successful completion of this training course, GLOMACS Certificate will be awarded to the delegates. Continuing Professional Education credits (CPE): In accordance with the standards of the National Registry of CPE Sponsors, one CPE credit is granted per 50 minutes of attendance
Endorsed Education Provider
