Elevate Your Enterprise with AI-Driven Innovation
Our Key Technology Platforms
Data Infrastructure
Forge a Solid Foundation for Your Digital Future
Lay the cornerstone of your digital transformation with our robust data infrastructure services. We architect, implement, and manage scalable data pipelines, data warehouses, and data lakes, ensuring your data is organized, accessible, and secure.
Our data infrastructure solutions provide the bedrock for data-driven decision-making, AI and machine learning initiatives, and advanced analytics.
- Data Excellence: Unparalleled data quality and consistency.
- Enhanced Data Accessibility:Seamless access to critical insights.
- Scalable Infrastructure: Future-proof your operations
- Optimized Data Management: Minimize costs and maximize efficiency.
Tools and Technologies
Data Lakes
Data Warehousing
Data Pipelines
Data Infrastructure
Data Infrastructure Enhancement for Sprious: Optimizing Payment Reporting through Paddle Integration
Summary
In 2023, Sprious partnered with Artiverse to strengthen their data infrastructure, enabling more profound insights into customer payment methods utilized via Paddle. By implementing a MySQL database for data storage populated by scheduled Python scripts, and employing Power BI’s sophisticated ETL processes, we enhanced reporting capabilities and provided comprehensive analysis of payment methods. This initiative not only streamlined data access but also supported Sprious’s objective to offer diverse payment options, including Apple Pay and Google Pay, across multiple currencies.
Challenge
- Insufficient Reporting: Paddle’s native reporting tools lacked the depth needed to analyze various payment methods, limiting informed decision-making.
- Data Silos: Payment information was confined within Paddle, complicating access and integration with other customer data.
- Scalability Constraints: As Sprious expanded its payment offerings and transaction volumes, their existing infrastructure struggled to keep pace.
- Currency Complexity: Managing payments in multiple currencies required a more flexible and robust solution for effective tracking and analysis.
Solution
- Scalable Database Design: We established a MySQL database structure optimized for capturing detailed payment data, including:
- Customer Information: Key fields like Paddle Customer ID, Email, Locale, and Status.
- Transaction Details: Comprehensive records including Date, Customer Email, Paddle Transaction ID, Payment Method, Currency, and Grand Total.
- Data Integration: We integrated Paddle’s customer and transaction data into MySQL, creating a centralized repository that improved data quality and accessibility.
- ETL with Power BI: Utilizing Power BI’s ETL capabilities, we developed processes to extract, transform, and load data:
- Data Validation: Implemented cleaning procedures to ensure high data quality.
- Modeling for Reporting: Created optimized data models for intuitive reporting on payment methods and customer insights.
- Dynamic Reporting Framework: Built a Power BI reporting framework that provided real-time insights into payment method usage, enabling Sprious to evaluate the effectiveness of various options.
Impact
- Improved Reporting: Enhanced capabilities allowed for in-depth analysis of payment methods, driving actionable insights for marketing and product strategies.
- Increased Accessibility: Centralized data improved collaboration across teams and facilitated timely transaction analysis.
- Scalability Achieved: The new infrastructure supported increased data volumes without performance issues, aligning with Sprious’s growth objectives.
- Data-Driven Decisions: Real-time insights empowered Sprious to optimize payment methods based on customer behavior and regional trends.
Conclusion
Is Your Data Infrastructure Ready For The Future?
Custom AI Solutions
Harness the Power of AI for Unparalleled Advantage
Our elite team develops and deploys custom AI models tailored to your specific business needs, from predictive analytics to automated decision-making.
Our AI solutions empower you to make data-driven decisions, optimize operations, and deliver exceptional customer experiences. We specialize in S&OP time series analysis and supply chain optimization to drive efficiency and profitability.
- Increased Accuracy and Efficiency
- Improved Decision-Making
- Enhanced Customer Experiences
- Competitive Advantage
Tools and Technologies
Machine Learning Frameworks
Cloud AI Platforms
Custom AI Solutions
Inventory Demand Forecasting for Boosted eCommerce Inc.
Background
Challenge
- Supply Chain Inefficiencies: Frequent overstocking and stockouts resulted in increased costs and diminished customer satisfaction.
- Inaccurate Demand Predictions: Reliance on traditional forecasting methods led to poor anticipation of market fluctuations, impacting readiness for peak demand.
- Data Silos: Disparate data sources made real-time insights difficult to access, hindering informed decision-making.
- Limited Financial Visibility: Inaccurate forecasts complicated budgeting processes, affecting overall financial performance.
Solution
- Advanced Forecasting Models: Implemented various models, including ARIMA, SARIMA, FB Prophet, and XGBoost, to analyze historical sales data from Amazon Sellerboard.
- Data Integration: Created a Master Excel File to centralize data across brands and markets, enhancing accessibility and oversight.
- Python Automation: Utilized Google Colab and Jupyter Notebook for efficient data processing and model scripting.
- Power BI Visualizations: Developed interactive dashboards to present forecasts and trends, enabling quick insights for decision-makers.
Impact
- Improved Inventory Management: Reduced excess stock by 30% and minimized stockouts, leading to enhanced customer satisfaction.
- Enhanced Financial Planning: Achieved a 25% improvement in budgeting accuracy, enabling proactive financial strategies.
- Informed Decision-Making: Empowered brand managers with reliable, data-driven insights tailored to their market segments.
- Increased Profitability: Boosted overall revenue by 15% within the first quarter post-implementation, solidifying market position and driving sustainable growth.
Conclusion
What Could AI Do For Your Business?
Business Intelligence
Unleash the Power of Your Data with Actionable Dashboards
Empower your team with data-driven insights. Our business intelligence solutions provide you with the tools and expertise to visualize and analyze your data, identify trends, and make informed decisions.
With our advanced analytics and reporting capabilities, you can gain a deeper understanding of your business performance and uncover hidden opportunities.
- Improved Decision-Making
- Increased Operational Efficiency
- Enhanced Customer Understanding
- Better Resource Allocation
Tools and Technologies
Data Visualization
Data Integration
Business Intelligence
Power BI Dashboard for Covid-19 Study in Singapore
Summary
Challenge
- Complex Data Landscape: The rapid changes in infection rates and the emergence of new clusters made traditional analysis insufficient.
- Data Fragmentation: Critical information was spread across multiple sources, complicating data integration and analysis.
- Need for Timely Insights: Health officials required real-time insights to respond effectively to emerging risks and inform public health strategies.
Solution
- Data Integration: We sourced and integrated four raw data files from the GitHub repository SafeEntryAnalytics, which provided vital information on infection clusters, safe entry points, and demographic data.
- Geospatial Analysis: Incorporated postal code data to enable geographic plotting and distance calculations, enhancing spatial understanding of the infection spread.
- Cluster Analysis: Historical cluster data from co.vid19.sg was enriched with postal code information, helping to identify high-risk locations and predict potential new clusters.
- Backend Data Processing: Utilized Power Query within Power BI to process and clean raw data, creating a consolidated flat file named “Primary” containing all relevant information for analysis.
- Risk Assessment: Developed algorithms to assess Covid-19 risk at various locations by analyzing overlapping timings between infected and non-infected residents, calculating a “Risk” column to indicate potential exposure.
- Predictive Modeling: Applied predictive models to forecast Covid-19 risk percentages for each location, adjusting for the number of non-infected residents overlapping with infected individuals and considering historical cluster proximity.
- Dashboard Creation: Delivered a user-friendly Power BI dashboard featuring:
- Latest Cases Dashboard: Real-time filtering of visualizations by location, providing insights into current infection rates and cluster formations.
- Previous Cases Dashboard: Time series analysis of Covid-19 cases, facilitating historical trend analysis and detailed examination capabilities.
Impact
- Enhanced Public Health Response: Timely insights allowed health officials to respond proactively to emerging risks and allocate resources effectively.
- Informed Decision-Making: The integrated dashboard provided a comprehensive view of Covid-19 data, aiding in strategic planning and public communication.
- Increased Transparency: Real-time data visualizations fostered transparency and trust among the public regarding infection trends and safety measures.
Conclusion
Are You Getting the Most Out of Your Data?
Process Optimization
Streamline Your Operations with AI-Powered Automation
- Reduced Operational Costs
- Increased Efficiency and Productivity
- Improved Customer Satisfaction
- Enhanced Compliance
Tools and Technologies
Cloud Workflow Orchestration
Process Optimization
Streamlining Customer Segmentation with AI-Driven Automation - for Sprious
Summary
Challenge
- Inefficient Manual Tracking: The process of manually tracking customer segment changes (e.g., High Touch to Low Touch, Active to Inactive) was labor-intensive and error-prone.
- Delayed Interventions: Inefficient tracking hindered timely outreach to customers, affecting retention strategies and customer satisfaction.
- Resource Allocation: The lack of timely data insights made it difficult to allocate resources effectively, limiting the team’s ability to respond to customer needs.
Solution
- Real-time Customer Segmentation: The script analyzed customer data daily, identifying segment changes such as upgrades, downgrades, cancellations, and reactivations.
- Automated Report Generation: It generated detailed reports highlighting key metrics, including the number of customers transitioning between segments, reasons for downgrades or cancellations, and emerging trends.
- Asana Task Integration: Critical segment changes were flagged and automatically added to Asana tasks, enabling the Customer Success team to prioritize their outreach efforts effectively.
- Data Visualization: Visual representations of customer segmentation trends were provided to facilitate better understanding and informed decision-making.
Impact
- Improved Customer Retention: By promptly identifying at-risk customers, the team could proactively reach out, significantly enhancing retention strategies.
- Enhanced Customer Satisfaction: Timely, personalized support led to improved customer satisfaction and loyalty.
- Data-Driven Decision Making: Actionable insights informed customer segmentation strategies and optimized resource allocation.
- Increased Efficiency: Automation minimized manual efforts, allowing the Customer Success team to focus on higher-value activities.
Technical Expertise
- Data analysis and modeling
- Python scripting
- Data integration with platforms (MySQL, Google Sheets, Asana)
- Automation and data pipeline development
Conclusion
Could Automation Streamline Your Operations?
Top leaders trust Artiverse in delivering AI-driven data solutions that cut their expenses and grow sales.
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What happens next?
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