Course Introduction
ChatGPT is creating new opportunities for organizations to improve business intelligence, accelerate data analysis, and strengthen management reporting. By enabling users to interact with information through natural language, generate analytical explanations, develop formulas, summarize datasets, and produce structured reports, ChatGPT can support faster and more accessible business decision-making. This course provides a practical understanding of how ChatGPT can be applied to everyday business intelligence activities, helping professionals transform raw information into meaningful insights, improve reporting productivity, and communicate organizational performance more effectively.
The programme introduces the capabilities of ChatGPT and explores its relevance to business intelligence, data analytics, and management information systems. Participants will examine how large language models, generative AI, natural language processing, and conversational interfaces can support analytical workflows across different business functions. The course emphasizes practical applications rather than technical AI development, enabling participants to understand how to use ChatGPT to formulate business questions, interpret data, develop analytical approaches, prepare management summaries, and support evidence-based decisions. It also examines how ChatGPT complements established tools such as Microsoft Excel, Power BI, SQL databases, and enterprise reporting platforms.
A key focus of the course is using ChatGPT to support data analysis and interpretation. Participants will explore how to formulate effective prompts for examining datasets, identifying trends, comparing performance indicators, investigating variances, and generating analytical explanations. They will learn how ChatGPT can assist with Excel formulas, SQL queries, statistical concepts, data cleaning instructions, analytical documentation, and structured data interpretation. The programme also highlights the importance of supplying appropriate context, specifying analytical requirements, validating calculations, and checking AI-generated conclusions against reliable source information before using them in business decisions.
The course further examines the application of ChatGPT in developing management reports and business intelligence outputs. Participants will learn how to generate executive summaries, departmental performance reports, financial commentary, operational updates, KPI explanations, and strategic briefing documents. Attention is given to transforming technical analytical findings into clear narratives for senior management and other stakeholders. The programme also explores how ChatGPT can support dashboard planning, KPI descriptions, data storytelling, presentation development, and the interpretation of business performance visualizations. Participants will consider how these capabilities can improve the consistency, clarity, and timeliness of organizational reporting.
Effective use of ChatGPT requires appropriate information governance and responsible AI practices. The course therefore addresses data confidentiality, privacy, cybersecurity, intellectual property, hallucinations, analytical inaccuracies, bias, and the limitations of generative AI. Participants will examine methods for validating AI-generated outputs, protecting sensitive organizational information, reviewing analytical recommendations, and maintaining human accountability in management decision-making. The programme also considers contemporary developments such as AI copilots, advanced data analysis capabilities, retrieval-augmented generation, enterprise AI assistants, and agentic AI, highlighting their potential applications and the importance of secure organizational adoption.
By the end of the programme, participants will be better equipped to use ChatGPT as a practical assistant for business intelligence, data analysis, and management reporting. They will have developed skills in prompt engineering, analytical interpretation, report generation, data storytelling, and AI-supported productivity improvement. The course provides a foundation for integrating ChatGPT into existing reporting processes, reducing repetitive analytical work, improving access to business insights, and strengthening the quality of management information. Participants will also gain an understanding of how to establish responsible workflows that combine AI capabilities with professional judgment, verified data, and organizational reporting standards.
Duration
5 days
Who Should Attend
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Business intelligence managers and business intelligence analysts.
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Data analysts and business analytics professionals.
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Management information systems managers and reporting officers.
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Business analysts and strategic planning specialists.
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Finance managers, accountants, and financial analysts.
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Monitoring, evaluation, and performance management professionals.
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Management accountants and budgeting specialists.
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Human resource analysts and workforce planning professionals.
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Marketing analysts and customer insights specialists.
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Operations managers and process improvement professionals.
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Executive assistants and senior management reporting coordinators.
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Project managers and programme performance specialists.
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Information technology managers and digital transformation professionals.
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Data scientists and professionals supporting organizational analytics.
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Department heads and senior executives responsible for evidence-based decisions.
Course Objectives
By the end of this course, participants will be able to:
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Explain the capabilities, limitations, and business applications of ChatGPT, large language models, and generative AI in business intelligence and management reporting.
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Develop structured and context-specific prompts to obtain relevant analytical outputs, improve response quality, and support recurring business reporting requirements.
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Use ChatGPT to examine business datasets, identify patterns, interpret performance trends, and generate explanations that support evidence-based organizational decisions.
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Apply ChatGPT to develop and troubleshoot Excel formulas, SQL queries, data transformation instructions, and other analytical resources for business data processing.
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Use AI-assisted techniques to support data cleaning, classification, summarization, comparison, and preparation of information for business intelligence reporting.
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Generate structured management reports, executive summaries, financial commentary, KPI explanations, and operational performance updates using verified business information.
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Apply ChatGPT to support dashboard planning, KPI definition, data visualization descriptions, and communication of analytical findings to different stakeholder groups.
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Evaluate AI-generated analytical outputs by checking source information, validating calculations, identifying potential inaccuracies, and applying appropriate professional judgment.
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Implement responsible ChatGPT usage practices covering data confidentiality, privacy, information security, ethical AI, and accountability in organizational reporting.
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Develop an actionable plan for integrating ChatGPT into business intelligence and management reporting workflows to improve productivity, reporting quality, and decision support.
Comprehensive Course Outline
Module 1: Introduction to ChatGPT and Business Intelligence Applications
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Understanding ChatGPT, generative AI, large language models, and natural language processing in the context of organizational information management.
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Examining the role of ChatGPT in business intelligence, data analysis, management reporting, and evidence-based decision-making.
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Exploring the differences between traditional analytical tools, conversational AI assistants, and AI-supported business intelligence environments.
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Identifying practical ChatGPT applications in financial reporting, operational analysis, customer intelligence, human resources, and strategic planning.
Module 2: ChatGPT Features, Capabilities and Effective Use
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Exploring ChatGPT capabilities for content generation, analytical reasoning, information summarization, data interpretation, and structured business communication.
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Understanding available data analysis capabilities, file-based workflows, spreadsheet interpretation, and the practical use of supported AI tools.
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Examining how ChatGPT can complement Microsoft Excel, Power BI, SQL databases, presentation software, and existing enterprise reporting systems.
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Evaluating the strengths and limitations of different AI models, including accuracy, context handling, reasoning, data access, and output consistency.
Module 3: Prompt Engineering for Business Intelligence and Data Analysis
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Understanding prompt engineering principles and developing clear instructions for business intelligence, analytical investigation, and management reporting tasks.
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Applying role-based, contextual, sequential, and task-oriented prompts to obtain more relevant and structured analytical responses.
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Using prompts to define business problems, specify analytical requirements, request calculations, and generate reports with appropriate output formats.
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Refining prompts through iterative testing, follow-up questions, output evaluation, and reusable templates for recurring organizational reporting activities.
Module 4: ChatGPT for Data Preparation and Analytical Workflows
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Using ChatGPT to develop data cleaning instructions, identify inconsistencies, classify information, and prepare datasets for further analysis.
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Applying AI assistance to Excel formulas, conditional calculations, lookup functions, pivot table planning, and spreadsheet troubleshooting.
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Generating and interpreting SQL queries for data extraction, filtering, aggregation, and preparation of business intelligence reports.
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Exploring AI-supported statistical analysis, descriptive analytics, data categorization, and analytical documentation for business datasets.
Module 5: ChatGPT for Business Performance Analysis and Interpretation
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Using ChatGPT to examine organizational performance indicators, compare historical results, and explain changes in business performance.
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Applying AI-assisted analysis to financial statements, budget variances, expenditure trends, revenue performance, and profitability indicators.
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Exploring customer analytics, sales performance, market trends, workforce information, and operational efficiency using structured business data.
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Developing analytical prompts to investigate performance gaps, identify potential causes, assess emerging risks, and generate evidence-based recommendations.
Module 6: ChatGPT for Management Reporting and Executive Communication
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Generating structured management reports, executive summaries, departmental updates, financial commentary, and organizational performance narratives.
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Using ChatGPT to translate complex analytical findings into clear business language for senior managers and non-technical stakeholders.
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Developing KPI explanations, variance analysis narratives, performance dashboards commentary, and management briefing documents.
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Applying AI-assisted editing and report structuring techniques to improve clarity, consistency, accuracy, and professional presentation of management information.
Module 7: ChatGPT for Dashboard Development and Data Storytelling
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Using ChatGPT to identify relevant business KPIs, define dashboard requirements, and organize information according to management reporting priorities.
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Generating recommendations for charts, tables, dashboard layouts, visual hierarchy, and interactive reporting elements.
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Exploring how ChatGPT can assist with Power BI DAX formulas, Excel dashboard calculations, visualization descriptions, and analytical documentation.
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Applying data storytelling techniques to explain dashboard findings, highlight performance trends, and communicate actionable insights to decision-makers.
Module 8: ChatGPT for Automation, Productivity and Business Decision Support
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Designing reusable ChatGPT prompts and templates for routine reporting, recurring data analysis, and standardized management information requirements.
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Exploring AI-assisted workflows for report drafting, analytical documentation, meeting summaries, business presentations, and decision support materials.
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Examining integration possibilities through supported connectors, APIs, workflow automation platforms, and enterprise AI environments.
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Understanding emerging AI copilots, retrieval-augmented generation, and agentic AI capabilities for more advanced information retrieval and multi-step business workflows.
Module 9: Data Governance, Accuracy and Responsible Use of ChatGPT
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Understanding ChatGPT limitations, including hallucinations, inaccurate calculations, outdated information, bias, and unsupported analytical conclusions.
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Implementing procedures for verifying AI-generated reports, validating formulas, checking source data, and reviewing analytical recommendations.
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Addressing confidentiality, privacy, cybersecurity, intellectual property, and the responsible handling of sensitive organizational information.
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Establishing organizational policies for human oversight, access management, accountability, transparency, and quality assurance in AI-supported reporting.
Module 10: Practical Applications, Emerging Trends and Implementation Strategy
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Developing practical ChatGPT workflows for business data analysis, management reporting, executive summaries, and performance monitoring.
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Evaluating organizational readiness, staff capabilities, technology requirements, implementation priorities, and expected productivity improvements.
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Exploring emerging developments in multimodal AI, advanced data analysis, enterprise AI assistants, autonomous agents, and conversational business intelligence.
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Preparing an implementation roadmap with priority use cases, reporting standards, governance controls, performance indicators, and continuous improvement measures.
Training Approach
This course will be delivered by our skilled trainers who have vast knowledge and experience as expert professionals in the fields. The course is taught in English and through a mix of theory, practical activities, group discussion and case studies. Course manuals and additional training materials will be provided to the participants upon completion of the training.
Tailor-Made Course
This course can also be tailor-made to meet organization requirement. For further inquiries, please contact us on: Email: training@upskilldevelopment.com Tel: +254 721 331 808
Training Venue
The training will be held at our Upskill Training Centre. We also offer training for a group (at a discount of 10% to 50%) at requested location all over the world. The Onsite course fee covers the course tuition, training materials, two break refreshments, buffet lunch, airport transfers, Upskill gift package, and guided tour.
Visa application, travel expenses, dinners, accommodation, insurance, and other personal expenses are catered by the participant
Certification
Participants will be issued with Upskill certificate upon completion of this course.
Airport Pickup and Accommodation
Airport pickup and accommodation is arranged upon request. For booking contact our Training Coordinator through Email: training@upskilldevelopment.com, +254 721 331 808
Terms of Payment:
Unless otherwise agreed between the two parties’ payment of the course fee should be done 3 working days before commencement of the training so as to enable us to prepare better.
