Google Cloud
Telco Brings Advanced Analytics to Retail Marketing Campaigns with Google Cloud
Pythian helps the company update its Trade Promotion Management platform in the cloud, providing scalability, flexibility, data strategy, data protection, and multi-language support for global sales and expansion.
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Overview
This telecommunications provider sells software platforms, communications, and consulting to both consumer and business sectors. The company offers a Trade Promotion Management (TPM) system to retailers and grocery stores to help them plan, manage, and report on their marketing campaigns.
The TPM system helps campaign management teams plan promotions, identify return on investment, and then report on profitability over time. But the company’s existing analytics platform lacked scalability and real-time data integration with the TPM system, resulting in delayed reporting for customers.
What we did
Pythian began a phased approach to digital transformation and functionality enhancement, from discovery and strategy, to design and build. This included:
Discovery & Strategy
- Identified and documented the customer journey for request, consumption, and usage of analytical dashboards by engaging with multiple stakeholders
- Conducted exploratory data analysis of in-scope datasets
- Developed UX/XD for dashboard creation and consumption
- Defined governance for data, dashboards, and pipelines
Design
- Developed the infrastructure, architecture, and process for data catalog implementation, addressing the immediate, highest-priority customer needs
- Identified and defined data governance program structure and technical needs
- Defined data products and consumers
- Defined data models
- Broke work down into two-week sprints, including epics and acceptance
Key Outcomes
Pythian was able to simplify a technically complicated environment and formulate a perspective to prioritize, design, and execute within a broader strategy. This enabled the customer’s product teams and global sales teams to move faster, sell more, and increase revenue. The customer’s in-house product engineering team is now able to execute on the implementation of the solution, with the scalability, flexibility, data protection, and multi-language support required to sell globally and increase sales.
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