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Global Media Data Visualization and
Business Intelligence Journey

Global Media Data Visualization and <br> Business Intelligence Journey

Introduction

Innovatics undertook a transformative project for a global leader in the Media and Entertainment industry. This client, with its diverse business operations and worldwide presence, was grappling with the challenges of managing and analyzing vast amounts of data from multiple sources. The existing Business Intelligence solution, DOMO, was struggling to keep up with the client's growing needs for Global Media Data Visualization and analysis. Recognizing the need for a more robust and scalable solution, Innovatics proposed a comprehensive Media Industry BI Solution that would leverage the power of Tableau and Snowflake to revolutionize the client's data analytics capabilities.

Challenges

Scalability Issues

The existing DOMO solution was hitting its limits in terms of scalability and performance, unable to efficiently handle the increasing data volume and complexity.

Performance Bottlenecks

Data processing in the cloud led to time-consuming data retrieval, impacting the speed of analysis and decision-making.

Migration Complexity

The project involved migrating over 150 dashboards from DOMO to Tableau, each utilizing multiple data sources and complex calculations.

Design Adaptation

DOMO dashboard designs, layouts, and calculations needed to be carefully adapted to Tableau’s environment, which presented significant differences in functionality and approach.

The client was dealing with enormous and rapidly growing datasets from diverse sources, including social media platforms, in-house customer data, subscription information, content usage statistics, promotional campaign data, and streaming data from various platforms (mobile apps, TV, web).

Solutions

  • Tableau Implementation

    Our team chose Tableau for its scalability and ability to handle large datasets efficiently, providing a robust platform for Business Intelligence with Tableau.

  • Snowflake Data Warehouse

    Implemented Snowflake as a centralized data warehouse, consolidating over 550 diverse datasets from various sources.

  • Phased Migration Approach

    Employed a carefully planned, phased approach to migration, with five teams working in sync to ensure a smooth transition and minimize disruption.

  • Dashboard Optimization

    Skilled BI developers reverse-engineered and recreated the DOMO dashboards in Tableau, optimizing designs and calculations to ensure consistency and accuracy.

  • Strategic Deployment

    Developed a deployment strategy that published smaller datasets as extracts with incremental refresh and larger datasets live on the server, optimizing performance and server space utilization.

Process we followed

Data Sources

Results in ROI (Estimated Numbers)

80%

reduction in computing time

60%

decrease in query computing time

200-300%

improvement in visual load time

30%

increase in analyst productivity due to faster data access and analysis capabilities

Technology Stack & Softwares

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