itvx logo

Enhancing Error Transparency for ITV Streaming Services

  • What we did

    Integrated Conviva’s monitoring and alerting system into ITV’s streaming platform, enhancing error transparency and streamlining operational workflows for improved viewer experience.

  • Work result

    • x 0

      Increased Error Detection Speed

Summary of Services

  • Integrated Conviva’s advanced monitoring and alerting system into ITV’s streaming services platform
  • Replaced the existing custom tracking system
  • Provided enhanced error transparency
  • Streamlined operational workflows

Background

ITV, a leading provider of over-the-top (OTT) video streaming and video-on-demand solutions, sought to improve the quality of their streaming services. Maintaining high stream quality is crucial for video content providers to ensure a seamless viewing experience for their audience. ITV’s existing system, built on BigQuery, Splunk, and Looker Studio, lacked the robust monitoring and alerting capabilities needed for efficient error detection and resolution.


Challenges

ITV faced several challenges:

  • 1

    Error visibility and transparency within their streaming platform.

  • 2

    The custom tracking system could not promptly identify and address issues such as video problems, server issues, and internet or ISP problems.

  • 3

    This inefficiency led to a suboptimal viewing experience for users.

  • 4

    Hampered ITV’s ability to maintain high-quality streams.


Our Solution

To address these challenges, we integrated Conviva’s monitoring and alerting system into ITV’s data ecosystem. The integration process took approximately three months and involved comprehensive QA testing to ensure full implementation across all system components.

  • System Integration: We seamlessly integrated Conviva into ITV’s infrastructure, replacing the old system.
  • Real-Time Insights: Conviva provided real-time insights into streaming performance and viewer experience metrics.
  • Alert System: We set up an alert system that sent notifications to Slack and Email, informing the team about performance drops in specific streams and content types.
  • Data Analysis and Visualization: Leveraged BigQuery and Excel for data analysis and visualization, allowing ITV to gain actionable insights from the streaming data.
  • Log Management: Integrated Splunk for log management and analysis to monitor system health and proactively identify potential issues.

The integration of Conviva’s monitoring and alerting system significantly improved ITV’s streaming services platform. The enhanced visibility into error origins and streaming performance metrics allowed ITV to promptly identify and address issues, leading to:

Results

  • 1

    Increased Transparency

    Improved ITV’s ability to understand and resolve errors quickly.

  • 2

    Streamlined Operations

    Real-time alert notifications and customizable dashboards optimized error management processes.

  • 3

    Enhanced Viewer Experience

    Ensured a seamless viewing experience for ITV’s audience, particularly during high-profile shows like Love Island.


Ready to gain your business’s potential with data-driven insights? Contact Dot Analytics Agency today to learn how we can help you achieve your goals.

Conclusion

Our collaboration with ITV exemplifies our commitment to delivering innovative, tailored solutions that drive business success. By leveraging advanced technologies and industry expertise, we successfully enhanced error transparency and operational efficiency, ultimately improving the quality of the viewer experience in the competitive OTT industry.

  • x 0

    Increased

    Error Detection Speed


We don’t just deliver data management

We provide the foundation for transformative decisions and strategies

Let our expertise in analytics & insight services guide your journey to success.

Get started

Related Cases

page card background

Gaming

Drope.me

Work Result

Set up GTM and Google Analytics 4, created various data visualizations, evaluated marketing effectiveness, and provided product improvement recommendations, resulting in a significant increase in Customer Retention and Loyalty.

Increased User Retention Rate

+ 0 % URR

Used Technology

  • BigQuery

  • Looker

  • Google Analytics

  • GTM

  • Google Spreadsheet

page card background

iGaming

GRP.co

Work Result

Optimized GRP.co’s marketing efforts, leading to a 25% reduction in CAC (customer acquisition costs) and enhanced data management through advanced tracking and AI-driven solutions.

Reduction in Customer Acquisition Costs

+ 0 % CAC

Used Technology

  • Voluum

  • Looker

  • Google Analytics

  • dbt

  • GTM

  • Python

  • Cloud Run

  • Vertex AI

page card background

CBD

uWeed

Work Result

We helped uWeed enhance their data tracking, analytics, and online performance, resulting in a 32% increase in CR (Conversion Rates) and a 17% boost in Repeat Purchases.

Increase in CR (Conversion Rates)

+ 0 % CR

Used Technology

  • BigQuery

  • Looker

  • Google Analytics

  • GTM

  • Python

  • Cloud Run

  • Virtual Machine

page card background

EdTech

ClassTag

Work Result

Implemented and optimized event tracking for Class Tag’s web and mobile applications, enhancing data visibility and user engagement through Google Analytics 4 and Looker Studio.

Increased RR (Retention Rate)

+ 0 % RR

Used Technology

  • BigQuery

  • Looker

  • Google Analytics

  • GTM

  • Google Spreadsheets

page card background

E-Commerce

IWDM

Work Result

Optimized marketing efforts, leading to a $70-$100 reduction in CAC (Customer Acquisition Costs) per customer and over $10 million in revenue through Clickfunnel.

Reduction in CAC per Customer

- 0 % CAC

Used Technology

  • Shopify

  • Google Analytics

  • Looker

  • GTM

  • Python

  • Fivetran

  • Clickfunnel