Introduction to the Use Case Structure

Aralia Use Case: SDGs Inclusive Growth

Aralia Use Case: Public Works Bid Management and Risk Alert System

Aralia Use Case: Cabbage Supply and Demand Imbalance Analysis

🎯 1. Problem Statement & Background

• Description of the Problem: We want to find out whether Malaysia's economic growth over the period 2015-2019 is 'inclusive', i.e., whether it is accompanied by an improvement in the poverty rate, rather than just a rise in overall GDP.
• Context Statement: The core commitment of the UN SDGs is to 'Leave No One Behind' (LNOB). Even if a country's overall GDP grows, it may mask the plight of some states or vulnerable groups. Therefore, it is important to analyze the situation at the regional level and with multi-dimensional indicators.
• Stakeholder/User Persona:
  • Policy makers (e.g. economic planning units)
  • Researchers in international organizations (e.g., UNDP)
  • Data analysts / sustainability advocates
  • Citizen groups and NGOs
• Possible Questions:
  • Which state in Malaysia will have the fastest GDP growth from 2015-2019? Or the slowest?
  • Has economic growth been accompanied by declining poverty rates?
  • Are there any 'growing but worsening poverty' areas?

📊 2. Data Sources

• Data Source Names and Links

  Name of Data	Source	Description	Remarks
  Malaysia Annual Real GDP	SDG Planet	GDP growth rate by state, at purchaser prices	Includes state level data for 2015-2019
  Malaysia Poverty Dataset	SDG Planet	Relative Poverty Rate by State	Includes data for 2016 and 2019
  Malaysia Population Dataset	SDG Planet	Population by state	For crime rate calculation, please note that population is in thousands.
  Malaysia Property Crime Dataset	SDG Planet	Property Crime by State	Filter for "Property Crime" category.
  Malaysia Household Income by State	SDG Planet	Median and Average Household Income by State	Either median or average can be used

• Data Fields and Format

  • Time (year), region (state), and value fields (GDP growth rate, poverty rate, etc.)

• Update Frequency

  • Synchronized with Malaysia's official data platform

• Is pre-processing performed? How do you handle missing values or merging of fields?

  • No pre-cleaning is required before operation in Aralia.
  • Missing values and merging can be done through "Field Settings", "Filters", "Analytics Panel".

🛠️ 3. Aralia Demo

• User's Operation Workflow:

  Step 1: Browse Data Profile

  • Check the number of data records, field name, and format.
  • Check the field type and description

  

  Step 2: Create Basic Chart (Data Exploration)

  • Dataset: Malaysia Annual Real GDP
  • Setup:
    • X-axis: Administrative Region (State)
    • Y-axis: GDP Growth
    • Filter: Year = 2015-2019 , Economic Sector = Purchases' Price
  • Chart type: bar chart

  

  Step 3: Transplore

  • Add Transplore link: Link to poverty dataset
  • Key: Year, Administrative Region or State
  • Create a graph of relative poverty rates for 2016 and 2019 (use different conditions when crossing planets)

  

  Step 4: Using the Analytics Panel

  • Calculate the change in poverty rates for 2019-2016 in the Analytics Panel.
  • Name: 2016-2019 Relative Poverty Rate Change

  

  Step 5: Create Line Chart

  • Same topic as Step 2 but different presentation.
  • Dataset: Malaysia Annual Real GDP
  • Set:
    • X-axis: Administrative Region (State), Date
    • Y-axis: GDP Growth
    • Filter: Year = 2016-2019 , Economic Sector = Purchasers' Price
  • Chart type: line chart

  

  Step 6: Create and visit a Data Landmark

  • Save the line chart as a Data Landmark.

  

  Step 7: Additional Exercise: Calculating Property Crime

  • Enter from Income Dataset, transplore to Crime Dataset + Population Dataset.

  • Get data across planets:

    • Property Crimes by State (Category: Property)

    • Population by State

      

  • Analytics Panel:

    • Calculate the formula:

      Property Crime Rate = (Number of Property Crimes / Population in Thousands) × 1000

      (Crime itself is a relatively small number of events, so using only "per 1,000" or "per 10,000" would be too small and unintuitive. Using "per 100,000 population" usually yields a number in the tens to hundreds, which is easy to interpret and compare.)

  • Creating a graph of crime rates

    

    

📈 4. Analysis Results and Insights

• Results in Brief
  • All states have positive GDP growth in 2015-2019.
  • However, there are significant regional differences in the rate of economic growth.
  • Some states are growing in GDP but worsening in poverty.
• Insight Highlights
• Recommended Actions

🧠 5. AI Agent Demo

• Sample User Questions
• Sample Agent Response (Screenshot + Explanation)

🔧 6. Agent Setup Tutorial

• Step-by-step instructions for building an AI Agent:
• Flowchart / Screenshot
• Common errors and troubleshooting