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# Data migration to Snowflake for 5x faster web analytics and insights visualization on DOMO

**URL:** https://www.sigmoid.com/case-studies/migrating-data-to-snowflake/
Date: 2022-06-21
Author: Sigmoid
Post Type: page
Summary: Data migration to Snowflake for 5x faster web analytics and insights visualization on DOMO Migrated the customer’s digital media data to Snowflake...Read More...
Featured Image: https://www.sigmoid.com/wp-content/uploads/2023/02/migrating-data-to-snowflake-cs-thumbnail-opt.jpg
---

# Data migration to Snowflake for 5x faster web analytics and insights visualization on DOMO

				Migrated the customer’s digital media data to Snowflake and automated data pipelines, to accelerate the digital marketing efforts and visualize real-time insights on DOMO.

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					![](/wp-content/uploads/2023/02/migrating-data-to-snowflake-cs-thumbnail-opt.jpg)

						Migrated the customer’s digital media data to Snowflake and automated data pipelines, to accelerate the digital marketing efforts and visualize real-time insights on DOMO

### Business Challenge

						The customer wanted to automate the entire process of data collection and visualize the data to analyze market trends, product search ratio, capture customer visits, page hits on sites, and more across regions.They collated and analyzed diverse datasets from multiple countries on a data storage system to track the performance of the website and search engines. However, they followed manual processes to load the datasets, which became difficult to manage with the constant increase in data. The customer wanted to migrate their datasets to Snowflake for a consistent data warehouse, optimize resources, and carry out cost-efficient queries based on data size.

### Sigmoid Solution

						Sigmoid designed automated data pipelines that ingested data to Snowflake from various external data sources through their existing system, APIs, and spreadsheets. We preprocessed data to create a single dataset to be fetched into Snowflake. Technologies like Airflow were used for pipeline scheduling and automation to eliminate manual efforts. In addition, Sigmoid built a dashboard in DOMO to compute different metrics and generate reports for the regional heads, marketing teams, sales teams, and media planners to see the sales and digital marketing data.

							[Download case study](#ip-cs-Form)

### Business outcome

									Sigmoid’s automated data pipelines enabled the customer to upload clean and relevant datasets in Snowflake without manual processing.

														![time spent in creating reports icon](/wp-content/uploads/2022/11/time-spent-in-creating-reports.png)

															45% reduction in

															time spent in creating reports

														![Time spent on analysis & optimization icon](/wp-content/uploads/2022/11/time-spent-on-analysis-and-optimization.png)

															80% reduction in

															time spent on analysis and optimization

														![Campaign Reporting Optimization icon](/wp-content/uploads/2022/11/campaign-reporting-optimization-and-analysis.png)

															Real-time

															campaign reporting, optimization, and analysis

## Relevant Case Studies

									![](/wp-content/uploads/2023/02/building-robust-data-pipelines-thumbnail-opt.jpg)

#### [Building robust data pipelines for a leading investment bank to make quality datasets ready for ML use cases](/case-studies/building-robust-data-pipelines/)

									[Read case study](/case-studies/building-robust-data-pipelines/)

									![](/wp-content/uploads/2023/02/data-pipelines-performance-improvement-cs-thumbnail-opt.jpg)

#### [80% performance improvements in data pipelines](/case-studies/data-pipelines-performance-improvement/)

									[Read case study](/case-studies/data-pipelines-performance-improvement/)

									![](/wp-content/uploads/2023/02/improved-data-pipeline-availability-cs-thumbnail-opt.jpg)

#### [24×7 monitoring and support using highly available, robust systems](/case-studies/improved-data-pipeline-availability/)

									[Read case study](/case-studies/improved-data-pipeline-availability/)

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