Case Study

ecommerce

Re-engineering data platforms

A leader in the personalized skincare industry encountered challenges in their data infrastructure and reporting systems. To support growth and improve decision-making, the company teamed up with STX Next to create a strategic transformation plan. Our initiative aim was to enhance data management, leading to significant cost savings and efficiency.

Addressing the challenges

Despite many successes, the client's progress was hindered by a few issues. The data team was understaffed, causing delays in crucial analyses. The existing data architecture was overly complex, yet lacked monitoring limiting transparency, scalability, and efficiency.

Additionally, over 1,000 redundant Tableau dashboards contributed to high costs and reporting confusion. The lack of data governance further compromised accuracy and consistency. The client needed a scalable solution to integrate with Shopify, enabling better eCommerce capabilities and marketing insights.

Delivering data platform improvements

To address these challenges, STX Next proposed several targeted solutions:

Number 01

Expand engineering resources

Leveraging our extensive experience, we helped shape a strategic vision for the client’s technological framework, enabling their Data Team to achieve long-term success.

Number 02

Unified data model (UDM)

Simplifying architecture and standardizing metrics ensures a singular, accurate source for analytics.

Number 03

Migration to Hex

We assisted in successfully transitioning from Tableau to Hex, optimizing the process, streamlining their reporting framework, and eliminating duplicate dashboards. This collaboration reduced costs and improved clarity in reporting.

Number 04

Data governance framework

Implementing governance policies and a data catalog helped maintain data quality and consistency, ensuring users familiar with existing data tools avoid duplicating reports or redoing work.

Number 05

Data quality management (DQM)

Integrating quality checks in ETL pipelines uses automation to address data anomalies. A simple monitoring framework helps detect processing issues and stale reports.

Number 06

Shopify integration support

Our approach includes structuring a schema management for seamless Shopify integration.

Delivering data platform improvements

To address these challenges, STX Next proposed several targeted solutions.

Number 01

Expand engineering resources

Leveraging our extensive experience, we helped shape a strategic vision for their technological framework, enabling their Data Team to achieve long-term success.

Number 02

Unified data model (UDM)

Simplifying architecture and standardizing metrics ensures a singular, accurate source for analytics.

Number 03

Migration to Hex

Number 04

Data governance framework

Implementing governance policies and a data catalog helped maintain data quality and consistency, ensuring users familiar with existing data tools avoid duplicating reports or redoing work.

Number 05

Data quality management (DQM)

Integrating quality checks in ETL pipelines uses automationto address data anomalies. A simple monitoring framework helps detect processing issues and stale reports.

Number 06

Shopify integration support

Our approach includes structuring schema management for seamless Shopify integration.

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Achieving operational excellence

The client stands to gain numerous advantages from this transformation strategy, including:

Efficiency gains

Automated, streamlined processes reduced manual reporting workload.

Cost savings

Optimizing dashboards from over 1,000 to less than 40 and migrating to Hex is expected to save over $100,000 annually and give power users more flexibility with their analyses.