Building a Content Analytics Reporting System

Explore how we modernized the client's application by developing a dedicated content analytics system.

Building a Content Analytics Reporting System

Executive summary

Enhancing Content Analytics for Ad-Tech Solution

Our customer

Trinity Audio is a company that specializes in developing an AI-driven ecosystem of solutions that help manage audio experiences for publishers and content creators. These solutions encompass a wide range of features, including voice editing, content discovery, virtual assistant skills, and data analytics among many others.

The obstacles they faced

The customer wanted to effortlessly generate dynamic real-time reports for their solution by conducting a comprehensive analysis of the large volumes of data about content performance, such as loads and clicks.

How we helped

Romexsoft helped to develop a scalable yet cost-effective reporting system with flexible architecture for data pipelines. This system was designed to process and analyze the required content data of the client’s solution.

The challenge

Generating Analytical Insights from Large Data Volumes

The main challenge was to arrange the analysis of real-time data inflow occurring concurrently at extremely high speed, with data arriving every second. Along with the need to receive huge amounts of data at a given moment, Trinity Audio faced another poignant need to accommodate, store and manage historical data.

For instance, the client wanted to get valuable insights into the top-performing articles published by a specific domain within the last 24 hours while simultaneously accessing in-depth reports to meticulously examine historical data spanning several years.

THE SOLUTION

Data Management and Processing Optimized for Content Analysis

Data streaming

  • Integration of Apache Kafka was the opening move to handle real-time data effectively. This approach delivers horizontal scaling, ensuring that as data volume grows, Kafka can handle the load without major architectural changes.
  • Apache Spark Streaming implementation was employed to consume and process real-time data streaming through Kafka. The inherent ability of Spark to process large data volumes with low latency was instrumental in handling live stream data for this type of solution.

Data storage

  • We used Apache Hive infrastructure as a data warehouse for the gathered historical data. It ensures information managing and processing into a readable and structured format for query and analysis.
  • The processed and aggregated data were then stored in PostgreSQL as a source for the reports generated by the system.
  • Raw data are stored in Amazon S3 object storage service to ensure the cost-effectiveness of the reporting solution.

Data processing

  • Trino (PrestoSQL) provides the ability to join historical datasets about content performance (from Hive, PostgreSQL bases, and S3 raw data) with the advertising data from relational databases.
  • Amazon QuickSight reports, which showcase required content metrics for ensuring data-driven decision-making from the side of the client.
  • Custom dashboards, which get the data from PostgreSQL and Hive databases, represent the usage of the solution and specific content consumed by its users.

Technology stack

  • Apache Kafka
  • Apache Spark
  • Apache Hive
  • Trino

Content Analytics Reporting System – Architecture Diagram

Content Analytics

Amazon Web Services utilized

AWS Lambda icon
Lambda
Amazon Simple Storage Service icon
Simple Storage Service (S3)
Amazon Aurora icon
Aurora
Amazon EMR icon
EMR
Amazon QuickSight icon
QuickSight
Amazon Managed Streaming for Apache Kafka icon
Managed Streaming for Apache Kafka (MSK)

The Results

What We Achieved Together

  • Data-driven decision making
    Our solution presents required data in an intuitive visual format, enabling faster and more insightful analysis, which in turn provides data-driven decision-making.
  • Streamlined business operations
    Centralized data unification has eliminated data silos and provides a comprehensive, coherent view of business operations, simplifying data management and analysis.
  • Effective business strategizing
    Our approach accelerates the development of more effective business strategies by achieving comprehensive reports of content performance.
  • Enhanced insights from the data
    These insights enable a deeper understanding of trends, patterns, and correlations by visualizing real-time and historical data.
  • Performance and cost optimization
    The implemented solution ensures performance optimization while minimizing the costs of its cloud infrastructure at the same time.

Why Romexsoft

Partner With Us to Build Modern Application

Romexsoft is an AWS-certified Consulting Partner, trusted Software Development Company and Managed Service Provider, founded in 2004. We help customer-centric companies build, run, and optimize their cloud systems on AWS with creative, stable, and cost-efficient solutions.

Our key values

  • Delivery of quality solutions
  • Customer satisfaction
  • Long-term partnership

We have successfully delivered 100+ projects and have a proven track record in FinTech, HealthCare, AdTech, and Media industries.

Romexsoft possesses a 5-star rating on Clutch due to its strong expertise, responsiveness, and commitment. 60% of our clients have been working with us for over 4 years.

Related Success Stories

Unveil how we delivered a comprehensive solution that empowers publishers to convert text to speech, generate revenue from their content, and enhance the UX for audience.

Craft Your Vision – Make the First Step.
Book a Consultation With Our Experts.