Kredfeed

Kredfeed data was stored in multiple sources, including its AWS RDS Postgres database, but there was a lack of centralization and scalability for analysis. The main challenges faced by Kredfeed included:

• Difficulty handling large volumes of data for efficient reporting and analysis.
• Lack of visibility into key metrics and information for critical business decisions.
• The manual and time-consuming process of preparing, cleaning and reporting data, making it difficult to make decisions in real time.

Kredfeed needed a solution for:

• Centralize data storage and analysis on a scalable platform.
• Optimize data integration and processing to obtain information in real time.
• Empower teams with powerful business intelligence tools to make better decisions.

Semantiks kicked off the project with a comprehensive discovery phase to align with Kredfeed's objectives and understand its unique data requirements. After identifying their critical points, we proposed a solution using Google Cloud Platform, which included:

• Use BigQuery as the central data warehouse to house all of Kredfeed's key business data.
• Implement Looker for data visualization and business intelligence, creating customized dashboards to track key metrics.
• Set up a robust pipeline ETL to extract data from Kredfeed's AWS RDS Postgres database, clean and transform it, and load it into BigQuery for further analysis.

This solution was designed to provide Kredfeed with a highly scalable, secure and efficient system to handle its growing data needs.

The implemented solution addressed Kredfeed's data challenges by:

• Data Integration: Establish an automated ETL pipeline using Fivetran to extract data from AWS RDS Postgres and load it into BigQuery. This guaranteed smooth data transfer and minimized the need for manual intervention.
• Data Transformation: Create views in BigQuery to clean and structure the data, ensuring that it was ready for reporting. For example, data in JSON format was analyzed and transformed into native BigQuery types to facilitate querying and analysis.
• Looker integration: Implement Looker to create customized business intelligence dashboards. Key panels included:some text
  • Profile Completeness Panel to track the percentage of completed user profiles.
  • Retention Analysis Panel to analyze user retention rates over different periods.
  • Credit Request Metrics to track credit application data, approvals and trends.

This integration provided a continuous flow of clean, structured data to Looker to facilitate visualization and decision-making in real time.

The PoC project delivered significant results for Kredfeed:

• Improved Data Accessibility: The centralized data warehouse in BigQuery allowed the Kredfeed team easy access to clean, structured data, reducing the time spent manually preparing data.
• Improved Business Intelligence: Looker's panels provided real-time visibility of key metrics, allowing Kredfeed to make decisions based on data quickly.
• Increased Operational Efficiency: The automated ETL process reduced the manual effort required for data integration and reporting, freeing up resources for more strategic tasks.

Scalability for Growth: By taking advantage of GCP's scalable infrastructure, Kredfeed is well positioned to handle increasing volumes of data as its business continues to grow.

As Kredfeed continues to scale, it plans to further improve its analytical capabilities:

• Advanced Reports: Kredfeed will incorporate more advanced Looker features, such as predictive analytics and personalized metrics, to gain a deeper view of user behavior and business performance.
• Real-Time Data Transmission: Future plans include the implementation of real-time data transmission solutions, such as Google Datastream, for even faster information and improved operational agility.
• AI-Driven Insights: Kredfeed is also exploring the integration of machine learning models into its data pipelines to obtain more advanced predictive insights and optimize credit risk assessments.

Semantiks will continue to support Kredfeed in expanding and refining its analytics infrastructure to ensure that they remain at the forefront of making decisions based on data.

The collaboration between Semantiks and Kredfeed highlights the power of Google Cloud Platform tools, such as BigQuery and Looker, to provide a scalable, efficient, and easy-to-use solution for business intelligence. By optimizing data integration, enabling real-time analysis, and empowering Kredfeed with useful information, this project underscores Semantiks' commitment to helping organizations harness data for growth and success.