Key Topics

• Introduction to Data Analytics with Power BI in Business
• Overview of Power BI Interface
• Data Importing -connect to various data sources, such as Excel sheets, SQL databases.
• Data Cleaning and Transformation -Using Power Query to clean and shape data for analysis
• Key Features of Power BI for Property Data Analytics
• Data Modeling: Creating relationships between different data tables (e.g., property listings, sales records)
• DAX Functions: Introduction to key DAX functions for calculating property metrics (e.g., average price, total sales)
• Interactive Visualizations: Building bar charts, line graphs, and maps to visualize property data by location, price range, etc.
• Creating Reports and Dashboards in Power BI
• Building Reports: Step-by-step guide to creating a property market analysis report.
• Customizing Dashboards: How to create and customize dashboards that highlight key property trends and performance indicators.
• Using Filters and Slicers: Enhancing user interaction by allowing them to filter data by specific criteria (e.g., region, property type).

Learning Outcomes

These learning outcomes aim to provide non-tech real estate professionals with a general understanding of Power BI and its applications in the real estate industry, equipping them with the knowledge to leverage technologies effectively

• Understand the fundamentals of Power BI and its role in data analytics for the real estate sector.
• Navigate the Power BI interface to effectively connect and import property-related data from various sources (Excel, SQL databases, etc.).
• Clean and transform data using Power Query, ensuring it is properly prepared for analysis.
• Build data modelsby establishing relationships between different data tables (e.g., property listings, sales records) for comprehensive analysis.
• Apply key DAX functions to calculate property metrics like average price, total sales, and other critical indicators.
• Create interactive visualizations such as bar charts, line graphs, and maps to represent property data based on criteria like location, price range, and market trends.
• Design customized reports that reveal insights into market trends, customer preferences, and property performance indicators.
• Develop and customize Power BI dashboards to track and highlight key property metrics and trends in real time.
• Utilize filters and slicers to enhance user interaction, allowing for dynamic data exploration by region, property type, and other parameters.
• Confidently use Power BI tools and techniques to make data-driven decisions that improve business outcomes in the real estate industry.

Who Will Benefit

• Real Estate Agents
• Property Managers
• Real Estate Valuers
• Compliance and Risk Management Professionals
• Marketing and Sales Teams in Real Estate Firms
• Real Estate Consultants

Speaker

Soo Lip Meng

Soo is a seasoned Computer Science graduate from University Malaya with 13 years of experience in the Business Intelligence (BI) domain, specializing in SAP systems. His technical expertise includes SQL, Python, SSIS, Talend, SAP BW, SAP BusinessObjects, MSSQL SSAS, Qlikview & Sense, and Microsoft Power BI. Soo has contributed significantly to various sectors in Malaysia by automating ETL processes, designing and implementing financial and inventory reports, and creating dashboards for public transport, fitness, distribution, and beverage industries. He has also trained users in self-service reporting, enhancing data accessibility and decision-making across organizations.