Data Analytics
Customer success story
Global battery manufacturer improved demand forecasting with Google Cloud
Integrating ERP and external data transformed demand forecasting accuracy.
Pythian implemented the Google Cloud Cortex Framework to combine SAP ERP and third-party data for enhanced prediction intelligence.
A global consumer and automotive battery manufacturer struggled to optimize resource planning and product delivery due to isolated data within its SAP environment. Incorporating outcome-influencing third-party datasets, such as population demographics and long-term weather patterns, was both technically difficult and costly. The company partnered with Pythian to deploy the Google Cloud Cortex Framework and modernize its data layer. By integrating ERP data with external market factors into Google Cloud, the manufacturer established accurate demand forecasting, improved store-level inventory placement, and streamlined fulfillment operations.
Pythian managed the entire implementation of the Google Cloud Cortex Framework and its integrations, including building dashboards to provide visuals of the data and providing training for the in-house IT team. ”
Senior Director, Data and Analytics
Global Battery Manufacturer
Modernize your data analytics environment to gain actionable BI insights.
The existing SAP HANA setup was too costly and complex to use for predicting product demand and planning resources.
Pythian validated data integrity and implemented the Google Cloud Cortex Framework to integrate SAP and third-party data into an affordable, high-performance analytics environment.
Pythian helped us turn our complex SAP data into clear, actionable demand forecasts using Google Cloud Cortex, giving us the insights we needed without the high costs.”
Senior Director, Data and Analytics
Global Battery Manufacturer
SAP ECC environments restricted cost-effective data extraction
Extracting near real-time transactional data from the existing SAP HANA and SAP ECC setups to the Modern Data Layer was economically unviable.
Third-party datasets remained isolated from core ERP platforms
Sourcing external variables like weather patterns and demographics into the legacy analytics environment proved too complex and expensive.
Seasonal automotive product lines suffered from inaccurate forecasts
Single-run annual manufacturing schedules required precise demand intelligence to avoid costly changed or canceled orders.
Internal technical teams lacked specialized Google Cloud accelerators
The client required external expertise to manage reference architectures, build Data Studio (Looker) dashboards, and train internal IT staff.
Pythian unified ERP transactional data with third-party datasets in BigQuery.
Engineers validated raw SAP data integrity before deploying AecorSoft for high-speed replication into BigQuery. This enabled seamless merging of SAP ECC data with population demographics and weather forecasts.
The client accelerated time-to-value using the Google Cloud Cortex Framework.
Leveraging pre-packaged reference architectures, Pythian built consolidated data marts to speed up deployment. The architecture enabled multi-category demand forecasting for both consumer and automotive lines.
Pythian automated schedule orchestration using Google Cloud Composer.
The team implemented Google Cloud Composer to schedule complex analytical tasks and data pipelines seamlessly. This automated data flows and ensured up-to-date transactional visibility across operations.
Pythian delivered actionable visual insights using Data Studio dashboarding.
Pythian designed custom Data Studio (formerly Looker) dashboards to render complex forecast analytics easily digestible for marketing and supply chain teams. The team also provided technical enablement and training for the internal IT staff.
Transform your SAP Data with Google Cloud to drive analytics excellence.
Pythian is a proud Google Cloud Premier Partner
Lean on our deep expertise and 25+ years of data heritage.
Our expertise spans the full Google ecosystem, helping customers harness the power of scalable cloud infrastructure, data analytics, and modern AI modelling to drive innovation. We combine world-class technical skills with a customer-centric approach to accelerate digital transformation and maximize the value of your Google investment.
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