Real-world examples showing how to use CSC Export Tool for e-commerce, mobile apps, analytics, and more with exact cost breakdowns.
Discover how developers across different industries use the CSC Export Tool to solve real-world challenges. Each use case includes exact field selections, format recommendations, and cost breakdowns.
Challenge: Create a travel app with city-based recommendations and weather integration.
Scenario
Export Strategy
Mobile Integration
App Type: Travel recommendations app
Need: Cities with coordinates for weather API integration and location services
Target: All available cities with coordinate data
Dataset: CitiesEssential Fields:
name - City display name
country_code - Country context
state_code - State/province context
latitude, longitude - Weather API integration
Format: JSON
View Pricing
See current credit costs for Cities exports
iOS Implementation
struct City: Codable { let name: String let countryCode: String let stateCode: String let latitude: Double let longitude: Double}// Filter cities by country or region if neededlet filteredCities = cities.filter { $0.countryCode == "US" }// Integrate with weather servicefunc getWeatherForCity(_ city: City) { let weatherAPI = "https://api.weather.com/v1/current" let url = "\(weatherAPI)?lat=\(city.latitude)&lng=\(city.longitude)" // Use coordinates for weather API integration // ... weather integration}
Challenge: Pre-load geographical boundaries for offline map functionality.
Data Volume Consideration: Cities dataset contains 150,000+ records. Consider filtering by country or region to optimize app size and performance.
1
Country Filtering Strategy
Use the built-in country filter to export only relevant regions:
Export Configuration
{ "datasets": ["states"], "country_filter": ["US", "CA", "MX"], // North America only "fields": ["name", "state_code", "country_code", "latitude", "longitude"], "format": "json"}
2
Data Optimization
Data Processing
// Group by country for efficient storageconst statesByCountry = exportData.states.reduce((acc, state) => { acc[state.country_code] = acc[state.country_code] || []; acc[state.country_code].push({ name: state.name, code: state.state_code, coords: [state.latitude, state.longitude] }); return acc;}, {});// Store in mobile app's local databaseawait storeOfflineData('geographical_boundaries', statesByCountry);
Challenge: Optimize sales territories based on geographic and regional data.
Territory Mapping Strategy
Datasets Needed:
Countries: Base territory definition
States: Sub-territory planning
Cities: Account distribution analysis
Export Configuration:
Countries + States + Cities
CSV format for spreadsheet analysis
View Pricing
See current credit costs for territory mapping exports
ROI Justification: Saves 20+ hours of data collection and cleaning
Sales Analytics Implementation
Territory Analysis Queries
-- Create territory performance viewsCREATE VIEW territory_performance ASSELECT co.region as territory, COUNT(DISTINCT co.iso2) as countries_covered, COUNT(DISTINCT co.currency) as currencies_supported, COUNT(DISTINCT s.id) as states_count, COUNT(DISTINCT ci.id) as cities_count, GROUP_CONCAT(DISTINCT co.currency) as currency_listFROM countries coLEFT JOIN states s ON co.iso2 = s.country_codeLEFT JOIN cities ci ON s.id = ci.state_idGROUP BY co.region;-- Identify expansion opportunitiesSELECT territory, countries_covered, currencies_supported, currency_listFROM territory_performance WHERE countries_covered < 5 -- Underrepresented territoriesORDER BY countries_covered DESC;
Challenge: Populate database tables with geographical reference data.
Production Tip: Always use SQL format for database imports to ensure proper data types, constraints, and relationships.
PostgreSQL Setup
Migration Integration
Docker Integration
Export Configuration:
Dataset: Countries + States
Format: SQL
View Pricing
See current credit costs for database exports
Generated Output Example
-- Table creation (automatically included)CREATE TABLE IF NOT EXISTS countries ( id SERIAL PRIMARY KEY, name VARCHAR(255) NOT NULL, iso2 CHAR(2) UNIQUE NOT NULL, iso3 CHAR(3) UNIQUE NOT NULL, phonecode VARCHAR(255), currency CHAR(3), region VARCHAR(100), subregion VARCHAR(100));-- Data insertionINSERT INTO countries (name, iso2, iso3, phonecode, currency, region, subregion) VALUES('United States', 'US', 'USA', '1', 'USD', 'Americas', 'Northern America'),('Canada', 'CA', 'CAN', '1', 'CAD', 'Americas', 'Northern America');-- Foreign key relationships automatically handledCREATE TABLE IF NOT EXISTS states ( id SERIAL PRIMARY KEY, name VARCHAR(255) NOT NULL, state_code VARCHAR(10) NOT NULL, country_id INTEGER REFERENCES countries(id), latitude DECIMAL(10, 8), longitude DECIMAL(11, 8));
