Business Visualization Solutions with Amazon QuickSight



The AdTech company platform  relied on real-time analysis of user interactions with web content to tailor personalized experiences. However, they lacked visibility into these interactions, blocking their ability to assess user engagement and make informed decisions. To address these challenges, the team embarked on a process of data collection, analysis, and dashboard development. They implemented systems to capture user interactions, leveraging image recognition technology and browser tracking mechanisms.


The challenge was twofold:

1. Data Generation: Capture and analyze user interactions to generate meaningful data for decision-making. This involved recognizing images on the user's screen, tracking their browsing activities, and understanding the context of their actions.

2. Dashboard Development: Once the data was generated, the challenge shifted to presenting it effectively to stakeholders. Two types of dashboards were required:

  • Business Partner Dashboard: This dashboard aimed to help business stakeholders make data-driven decisions by showcasing product performance metrics, user engagement levels, and other key indicators of success. It needed to be visually appealing and provide actionable insights.
  • Engineering Metrics Dashboard: This dashboard focused on technical metrics essential for assessing system performance and stability, such as latency, throughput, and error rates. It catered to internal engineering teams and required a more granular presentation of data.


  • Established a Data Lake infrastructure using Amazon Glue tables on Amazon S3 parquet files, ensuring scalability and efficiency.
  • Data ingestion was managed through Amazon Firehose, while Amazon EMR was employed for data transformation, enabling a smooth transition from raw data to actionable insights.
  • Validated data was utilized to generate comprehensive dashboards using Quicksight, catering to both internal and external users' needs.
  • Advanced systems were implemented to capture user interactions, incorporating image recognition technology and browser tracking mechanisms.
  • The dashboard development process prioritized intuitive interfaces, relevant metric selection, and effective visualization creation to facilitate understanding and decision-making.


The implementation of our solution yielded significant benefits across multiple fronts. First and foremost, we successfully reduced the time required for releasing new product features by an average of 25%, enhancing our agility and responsiveness in meeting market demands. Our approach allowed for tailored insights catering to the unique needs of different stakeholder groups, enabling more informed and strategic decision-making across the organization. We also gained greater control over our dashboard system by implementing customizable data grouping intervals, such as daily, weekly, or monthly, providing flexibility and adaptability to suit varying analytical requirements and preferences. These achievements underscore the effectiveness and versatility of our solution in driving efficiency, enhancing decision-making, and optimizing operational control within the organization.

Key Data Points

  • 25% reduction of in the time required for releasing new product features.
  • Tailored and and crucial information for each stakeholder.
  • Gained control over diverse dashboards by altering data grouping intervals