Success Story

Data Analytics

Transforming Data Analytics for a Content-Level Contextual Analysis Provider​

Ad Tech company executes Real-Time contextual classification of webpages using multifold classification and interpretation models by leveraging Zimetrics tech-enabled services

Challenges

The client faced significant challenges with their existing data analytics system:​

  • Inability to handle the growing data size, which reached TBs.​
  • Limited extensibility due to a flat structure, hindering future growth.​
  • Insights only generated for limited time, leading to system timeouts when extending the period.​
  • Complex and time-consuming process for generating new insights.​

Solutions

Zimetrics enabled a seamless transition with minimal disruption to ongoing operations.​

  • Leveraging Snowflake as a warehousing solution to enable scalable and analytical insights.​
  • Adopting an incremental transitioning approach from Athena to Snowflake, starting with MVPs and progressively migrating more data.​
  • Utilizing curated data tables to optimize data readiness and time-to-market.​
  • Minimizing the learning curve by reusing Apache Airflow for data synchronization between S3 and Snowflake.​

Impact generated

86%

Boost in overall system performance​

< 8 seconds 

New explore times with Snowflake, compared to over 60 seconds with old Athena queries​

Extensible

Curated tables enabling versatile usage across dimensions, supporting internal and customer-facing insights​

3x

Enabled insights for date ranges larger than 3 times from earlier system.​

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Company

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Lorem Ipsum is simply dummy text of the printing and typesetting industry. Lorem Ipsum has been the industry's standard dummy text ever since the 1500s, when an unknown printer took a galley of type and scrambled it to make a type specimen book. It has survived not only five centuries, but also the leap into electronic typesetting, remaining essentially unchanged. It was popularised in the 1960s with the release of Letraset sheets containing Lorem Ipsum passages, and more recently with desktop publishing software like Aldus PageMaker including versions of Lorem Ipsum.

Challenges

Solutions

Deep Learning

Models to categorize industry and subindustries relevant sections and denoise

Language Models

Interpret the key concepts from tables, graphs images and running texts

Vision Models

For layout interpretation and correlation of objects in the frame of moment captured

Impact / Metrics

90%+

F1 Score Harmonic Mean of Precision and Recall

50%+

Improved Relevancy Relative to Cookies

99.9%+

Realtime Data Exchange

Tech Stack

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