Data Analytics Process

  1. Google Tag Manager (GTM) Implementation: With the KPIs identified, we utilize Google Tag Manager to deploy the necessary tags and triggers on your website. This setup is crucial for collecting specific data aligned with your KPIs, such as user interactions, e-commerce conversions, or lead generation metrics, without the need for complex code modifications.
  2. Data Collection via Google Analytics: The data captured through GTM is then processed in Google Analytics. Here, we analyze the KPI-related data, offering insights into user behaviour, traffic patterns, and conversion rates. This step is pivotal in monitoring your KPIs, understanding the effectiveness of your strategies, and identifying areas for improvement.
  3. Advanced Analysis with Google BigQuery: For in-depth analysis, especially when dealing with large datasets, we leverage Google BigQuery. It allows us to perform comprehensive analysis, including trend identification, predictive analytics, and customer segmentation, which are essential for strategic decision-making and for a deeper understanding of how to meet and exceed your KPIs.
  4. Reporting and Visualization in Looker Studio: The insights and findings are then visualized using Looker Studio. We create custom dashboards and reports that focus on your KPIs, providing a clear, interactive view of your data. These visualizations aid in making the data accessible and understandable to all stakeholders, ensuring that insights can be easily shared and acted upon.
  5. Ongoing Meetings for KPI Review and Strategy Adjustment: Our process is iterative and collaborative. Regular meetings are scheduled to review KPI performance, discuss insights, and refine strategies as needed. This ensures that our approach stays aligned with your evolving business goals and the dynamic digital landscape.