ΠΕΡΙΓΡΑΦΗ

In today's business world, making smart decisions quickly is crucial for success. Artificial Intelligence and tools like Microsoft Power BI help analyse data, uncover insights, and improve strategic decision making. This will be explored during our interactive workshop.

Organisations must evolve in today's data-driven environment to remain competitive. The importance of this seminar is highlighted by the urgent need of data usage. Implementation of a proper Data Management and Data Governance framework is essential to achieve efficient data handling, ensure data accuracy, maintain data privacy, foster a culture of data responsibility, comply with regulatory requirements, and drive organisational excellence and innovation. Descriptive analytics and visualisation are important steps towards Business Intelligence and enhanced management decision making.

Finally, utilising Artificial Intelligence is essential to transform organisations, both internally and externally, by providing automations, improved customer experiences and interactions.

CPD

This seminar may contribute to Continuing Professional Development requirements. At the end of the seminar participants will be given a certificate of attendance confirming the total number of training hours (6 CPD).

ΣΚΟΠΟΣ ΣΕΜΙΝΑΡΙΟΥ

By the end of the training, participants will be able to:

• Define the concept of data-driven decision-making
• Describe the importance of Data Quality in analytics
• Identify key data sources relevant to their organisation
• Describe the underlying details of AI technologies and prioritise different AI opportunities within their organisations
• Identify and select specific AI technologies
• Formulate a data strategy aligned with organisational goals
• Develop a comprehensive business intelligence tool
• Evaluate and select appropriate data collection methods
• Create data visualisations to convey insights effectively
• Measure the success of data-driven initiatives using KPIs
• Apply these concepts in Power BI projects for solving business problems
• Import, clean, model, and present data effectively using Power BI
• Perform DAX calculations to extract more insights from data
• Explain why AI technology might be a good fit in various use cases
• Promote a culture of data-driven thinking within the organisation
• Promote a culture of collaboration and knowledge sharing
• Demonstrate adaptability and openness to emerging technologies
• Overcome challenges with resilience and a problem-solving attitude
• Appreciate the value of Power BI
• Adopt and apply the appropriate AI Technologies to support their everyday activities and complete their tasks
• Collaborate in solving specific problems relevant to the subject.

ΣΕ ΠΟΙΟΥΣ ΑΠΕΥΘΥΝΕΤΑΙ

This training is addressed to Company Owners and Managers, Chief Executive Officers, Chief Financial Officers, Chief Operating Officers, Chief Information Officers, Chief Technology Officers, Chief Commercial Officers, Operations and/or Customer Service Managers, Product Managers, Strategy Managers, IT Managers, Head of Data & Analytics, Head of Innovation, Retail Managers, and other related professionals who aim to utilise the power of data for informed decision-making and organisational growth.

ΠΕΡΙΣΣΟΤΕΡΕΣ ΠΛΗΡΟΦΟΡΙΕΣ

Agenda

1.1. Introduction to Data-Driven Organisations - Data-Driven Culture and Strategy (15 minutes)

• Introduction to Data-Driven Decision-Making
• Building a Data-Driven Culture
• Formulating Data Strategy and Objectives
• Aligning Data Strategy with Business Goals
• Data Governance and Compliance

1.2. Data Collection and Management (15 minutes)

• Introduction to Data Collection and Management
• Data Sources and Collection Methods
• Data Quality and Data Cleaning
• Data Storage and Management Solutions
• Data Management Best Practices

1.3. Data Analysis and Visualisation (15 minutes)

• Introduction to Data Analysis and Visualisation
• Data Analysis Tools and Techniques
• Data Visualisation Tools and Platforms
• Data Visualisation for Effective Communication
• Case Studies in Data-Driven Insights

1.4. Measuring Data-Driven Success and Future Trends (15 minutes)

• Key Performance Indicators (KPIs) for Data-Driven Organisations
• Tracking Progress and Evaluating Return on Investment (ROI)
• Overcoming Challenges and Pitfalls
• Future Trends in Data-Driven Organisations

2.1. Introduction to Artificial Intelligence (20 minutes)

• What is Artificial Intelligence (AI)?
• Types of AI: Narrow AI vs. General AI
• The Importance of AI in Business
• Introduction to Explainable AI (XAI)
• Overview of Generative Models and ChatGPT

2.2. A data-driven methodology (20 minutes)

• Data Preparation and Preprocessing: Understanding your data and enhancing their value (Data Collection, Data Exploration, Data Cleansing and Transformation, Feature Engineering)
• Machine Learning Fundamentals (Basics of Machine Learning, supervised vs. unsupervised Learning, Training and Testing Data Split, Evaluating ML Model Performance)

2.3. Real-world Use Cases (30 minutes)

• How AI technologies are used for intelligent forecasting
• How AI technologies are used for assessing and evaluating customers and how they can support acquisition and retention processes
• How AI technologies can contribute to cost and profit optimisation

2.4. Trustworthiness of AI (15 minutes)

• Importance of Trust in AI Systems
• Factors Affecting Trustworthiness: Accuracy, Transparency, Fairness, Robustness
• Strategies for Ensuring Trust in AI Applications

2.5. Ethical AI (15 minutes)

• Understanding Ethical Concerns in AI
• Privacy and Data Protection in AI Applications
• Responsible AI Development: Ethical Guidelines and Best Practices

2.6. Key Takeaways (5 minutes)

• Recap of key takeaways
• The value of AI in solving Business problems

3.1. Connecting and Transforming Raw Data for Data Analysis (30 minutes)

• Basic data sources
• Loading data into Power BI Desktop from an Excel file
• Introduction - What is Power BI Query Editor
• Data transformation and cleansing
• Creating a Date table
• Importing tables into Power BI Desktop

3.2. Creating a data model - Adding calculated fields with DAX (30 minutes)

• Available views in Power BI: Report view - Data view - Model view
• What are the advantages of a good model?
• Creating relationships between tables
• Brief introduction to DAX (Data Analysis Expressions) language
• Creating a table with all measurements
• Power BI functions

3.3. Creating and designing interactive Power BI reports (2 hours)

• Explore Power BI Report View
• Adding basic visuals to Power BI reports
• Date hierarchy creation
• Formatting and filtering options
• AI Visualisations in Power BI

4. Q&A and Discussion (15 minutes)

Trainers

Kyriaki Pilia
Senior Manager, Technology Consulting, KPMG in Cyprus

Kyriaki is a Senior Manager in the Technology Consulting Department of KPMG in Cyprus. With over 20 years of professional experience, she has successfully managed and set up strong teams in the areas of Risk, MIS, Compliance and Strategy for companies in the financial sector. Her accomplishments include achieving departmental efficiency and effectiveness through the proper design of procedures and processes. She is highly solution-oriented, utilising data-driven approaches to ensure compliance and corporate governance. In addition to her expertise in Risk, MIS, Compliance, and Strategy, she also possesses exceptional skills in data modeling. With a deep understanding of data structures and relationships, she leverages her data modeling knowledge to design databases and data warehouses. Her proficiency in data modeling enables her to create robust and efficient data models, supporting accurate data analysis and reporting for her clients. Her data-driven approach and data modeling expertise make her a valuable asset in helping companies make informed decisions based on reliable and well-structured data.

Pouis Loukas
Assistant Manager, Technology Consulting, KPMG in Cyprus

Loukas is an Assistant Manager in the Technology Consulting Department of KPMG in Cyprus. He is also a member of the Digital Lighthouse, currently leading the Data Engineering and Architecture stream. He holds a BSc in Computer Science from the University of Cyprus and an MSc in Artificial Intelligence from the University of Edinburgh.

He has more than six years of professional experience and specialises in designing, developing and deploying data-driven solutions across multiple sectors, including Aviation, Real Estate, Retail and Telecommunications. He has extensive hands-on experience in designing end-to-end digital solutions, database management, data processing pipelines and machine learning model development.

Daphne Papaioannou
Senior Advisor, Technology Consulting, KPMG in Cyprus

Daphne is a Senior Advisor within the Technology Consulting department of KPMG in Cyprus. She is a member of the Digital Lighthouse in the Business Analytics stream.

She holds a BSc in Management from Lancaster University and a Master’s degree in Management from the London School of Economics and Political Science, where she specialised in Marketing and Business Analytics.

She has over five years of professional experience with a strong background in business analysis, data analysis and digital marketing analytics. She has provided business intelligence solutions for various clients across several industries, including Banking, Insurance, Oil & Gas and the Public sector. Her expertise lies in data visualisation, utilising Microsoft Power BI to create interactive dashboards that facilitate business monitoring and inform data-driven decision-making. She focuses on defining appropriate KPIs by identifying business objectives and conducting thorough data analyses to develop tailored solutions that effectively meet her clients’ specific business requirements.