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Advance your marketing performance with a modern analytics platform

Watch your marketing team’s performance soar with Google Cloud marketing analytics solutions and Pythian’s Google Cloud certified Data and Analytics professionals.

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Act on customer insights

We’ll help you gain deep customer
insights across all digital marketing segments so you can personalize and enhance customer experience. Our team has 100+ Google Cloud certifications, including Professional Data Engineer, Machine Learning Engineer, and Google Analytics.

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Why Google Cloud for Marketing Analytics?

For most organizations, customer information exists across many siloed applications – CRM, sales, product, customer service, and social platforms. A marketing analytics platform on Google Cloud means this customer data can be connected with marketing data sources like Google Ads, Google Analytics 360, Campaign Manager, and more, enabling faster time to insights and campaign effectiveness.

Expertise with Google Cloud Marketing Analytics Solutions

Pythian builds solutions that make sense for your industry. We’ve helped multiple customers extract value from their marketing data, incorporating best practices from serving our clients in retail, CPG, manufacturing, financial services, and more.

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Benefit from Experience

With an abundance of several Google Cloud certified experts, multiple Google Cloud expertises, and specializations beyond Marketing Analytics that span Infrastructure, Migration, Data Management, Data Analytics, and Machine Learning, we can help you with almost any project.

Automate & Innovate for More Effective Marketing

Focus on value-added activities like data analysis & optimization rather than toiling with manual data transfers and inter-connected reporting frameworks.

  • Enhance customer experience to boost customer retention
  • Enable faster business decisions with deeper insights across customer segments
  • Improve marketing campaign performance
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One platform for all your marketing data

Reduce the time spent gathering customer data from multiple sources, while trying to integrate and make sense of it all. Free your IT and marketing teams with a single enterprise data platform, allowing marketing to focus on optimizing strategy based on trusted data insights. Our professional services teams will help you connect multiple data sources into BigQuery, where you can access other products to explore, visualize, and even predict customer behaviors.


Pythian Services for all Google Cloud Marketing Analytics Products:

• BigQuery
• BigQuery Data Transfer Service
• Dataflow
• Dataproc
• Pub/Sub
• Cloud Composer
• AutoML
• Vertex AI
• Vertex AI Workbench
• Looker
• Looker Studio

Transat gains 360-degree view of customers for targeted marketing with Google Cloud

Transat, a leading integrated international tourism company specializing in leisure travel, needed a more thorough understanding of its customer data to accurately and efficiently target its marketing campaign efforts.

With limited capacity and an internal IT team with no Google Cloud expertise, they knew they needed a partner to help manage configuration and integrations between existing infrastructure.

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Cascades unlocks SAP data in Google Cloud for advanced analytics

Cascades specializes in sustainable paper solutions and, for the past 60 years, has adopted a responsible approach to business that embraces the circular economy. Cascade’s legacy SAP environment was holding it back from effectively meeting the demands of the business.

Working with Cascades’ BI team, Pythian unlocked SAP data across multiple modules and securely moved it into BigQuery, allowing Cascades to automate their processes and gain advanced reporting and insights through its new platform.

Canadian clothing retailer accelerates data insights with Enterprise Data Platform QuickStart for Google Cloud

Pythian fast-tracked this retailer’s move to the cloud. In a matter of weeks, Pythian deployed a data lake in Google Cloud and Google BigQuery, created ETL pipelines, and built custom reports and dashboards to analyze two years of customer, location, and purchase data. The internal marketing and BI teams can now “self-serve” the insights they need.

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Maximize marketing performance with a modern data analytics platform.

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