Transforming Adidas' Data Ingestion and Real-Time Analytics

Transforming Adidas' Data Ingestion and Real-Time Analytics

Centen Data revamped Adidas' ETL data ingestion flow from various sources, seamlessly integrating it with Microsoft Fabric. This transformation enabled real-time insights through Power BI dashboards.

Centen Data revamped Adidas' ETL data ingestion flow from various sources, seamlessly integrating it with Microsoft Fabric. This transformation enabled real-time insights through Power BI dashboards.

Year

2020

Client

Adidas

Industry

Aparrel & Footwear

Adidas faced challenges with their ETL data ingestion process, struggling to integrate data from multiple ERP systems, websites, and social media channels into Microsoft Fabric. Centen Data stepped in to streamline the entire data flow, utilizing advanced ETL tools and cloud technologies. The implementation of real-time analytics via Power BI dashboards allowed Adidas to gain valuable insights quickly and efficiently, enhancing their overall decision-making capabilities.

Adidas
Adidas
Adidas

Centen Data transformed our approach to data analytics. They have significantly boosted our business performance. We highly recommend them for any data-driven initiatives.

Stephen Larkin

Chief Executive Officer, Africa New Energies

Technology

  • ETL Tools: Apache NiFi, Talend

  • ERP Systems: SAP ERP, Oracle ERP

  • Cloud Platforms: Microsoft Azure, Microsoft Fabric

  • Data Warehousing: Azure Synapse Analytics

  • Analytics and Visualization: Power BI

  • Social Media Integration: APIs for Meta Platform & X

  • Web Data Extraction: Selenium, Beautiful Soup

Our Approach

Centen Data began by conducting a thorough assessment of Adidas' existing data infrastructure. This included mapping out all data sources, analyzing current ETL processes, and identifying key bottlenecks and inefficiencies. The team engaged in detailed discussions with Adidas' IT and analytics departments to understand specific requirements and challenges. Once the assessment was complete, Centen Data proposed a multi-phase approach.


Adidias

Planning and Strategy

Developing a comprehensive strategy that outlined the necessary steps to streamline data ingestion and integration. This included selecting the appropriate tools and technologies and defining data flow architectures.

Planning and Strategy

Developing a comprehensive strategy that outlined the necessary steps to streamline data ingestion and integration. This included selecting the appropriate tools and technologies and defining data flow architectures.

Planning and Strategy

Developing a comprehensive strategy that outlined the necessary steps to streamline data ingestion and integration. This included selecting the appropriate tools and technologies and defining data flow architectures.

Pilot Implementation

Running a pilot project to test the proposed solution on a smaller scale. This allowed for identifying any potential issues early and making necessary adjustments.

Pilot Implementation

Running a pilot project to test the proposed solution on a smaller scale. This allowed for identifying any potential issues early and making necessary adjustments.

Pilot Implementation

Running a pilot project to test the proposed solution on a smaller scale. This allowed for identifying any potential issues early and making necessary adjustments.

Full-Scale Implementation

Deploying the solution across all relevant data sources and systems. This phase involved setting up automated ETL pipelines using Apache NiFi and Talend, ensuring seamless data extraction, transformation, and loading from various ERP systems, websites, and social media platforms into Microsoft Fabric.

Full-Scale Implementation

Deploying the solution across all relevant data sources and systems. This phase involved setting up automated ETL pipelines using Apache NiFi and Talend, ensuring seamless data extraction, transformation, and loading from various ERP systems, websites, and social media platforms into Microsoft Fabric.

Full-Scale Implementation

Deploying the solution across all relevant data sources and systems. This phase involved setting up automated ETL pipelines using Apache NiFi and Talend, ensuring seamless data extraction, transformation, and loading from various ERP systems, websites, and social media platforms into Microsoft Fabric.

Integration and Testing

Integrating the ETL pipelines with Azure Synapse Analytics and ensuring compatibility with existing data warehousing solutions. Extensive testing was carried out to ensure data accuracy, consistency, and reliability.

Integration and Testing

Integrating the ETL pipelines with Azure Synapse Analytics and ensuring compatibility with existing data warehousing solutions. Extensive testing was carried out to ensure data accuracy, consistency, and reliability.

Integration and Testing

Integrating the ETL pipelines with Azure Synapse Analytics and ensuring compatibility with existing data warehousing solutions. Extensive testing was carried out to ensure data accuracy, consistency, and reliability.

Training and Support

Providing comprehensive training sessions for Adidas' IT and analytics teams to ensure they could effectively use and maintain the new system. Ongoing support was also established to address any issues and optimize performance continuously.

Training and Support

Providing comprehensive training sessions for Adidas' IT and analytics teams to ensure they could effectively use and maintain the new system. Ongoing support was also established to address any issues and optimize performance continuously.

Training and Support

Providing comprehensive training sessions for Adidas' IT and analytics teams to ensure they could effectively use and maintain the new system. Ongoing support was also established to address any issues and optimize performance continuously.

Our Solution

Centen Data's solution involved several key components and steps:


Dashboard

Automated Data Extraction

Using Apache NiFi, Centen Data set up automated data extraction from Adidas' ERP systems (SAP ERP and Oracle ERP). They also established connections with social media platforms (Facebook, Twitter, Instagram) through APIs and developed web scraping tools using Selenium and Beautiful Soup for extracting data from various websites.

Automated Data Extraction

Using Apache NiFi, Centen Data set up automated data extraction from Adidas' ERP systems (SAP ERP and Oracle ERP). They also established connections with social media platforms (Facebook, Twitter, Instagram) through APIs and developed web scraping tools using Selenium and Beautiful Soup for extracting data from various websites.

Automated Data Extraction

Using Apache NiFi, Centen Data set up automated data extraction from Adidas' ERP systems (SAP ERP and Oracle ERP). They also established connections with social media platforms (Facebook, Twitter, Instagram) through APIs and developed web scraping tools using Selenium and Beautiful Soup for extracting data from various websites.

Data Transformation

Talend was used to design and implement complex data transformation workflows. This ensured that data from different sources was standardized, cleaned, and enriched before loading into the data warehouse. The transformation process addressed inconsistencies and ensured data quality.

Data Transformation

Talend was used to design and implement complex data transformation workflows. This ensured that data from different sources was standardized, cleaned, and enriched before loading into the data warehouse. The transformation process addressed inconsistencies and ensured data quality.

Data Transformation

Talend was used to design and implement complex data transformation workflows. This ensured that data from different sources was standardized, cleaned, and enriched before loading into the data warehouse. The transformation process addressed inconsistencies and ensured data quality.

Data Loading into Microsoft Fabric

Data was seamlessly loaded into Microsoft Fabric using Azure Data Factory. This integration facilitated efficient data storage and processing, enabling Adidas to leverage the scalability and performance of the cloud platform.

Data Loading into Microsoft Fabric

Data was seamlessly loaded into Microsoft Fabric using Azure Data Factory. This integration facilitated efficient data storage and processing, enabling Adidas to leverage the scalability and performance of the cloud platform.

Data Loading into Microsoft Fabric

Data was seamlessly loaded into Microsoft Fabric using Azure Data Factory. This integration facilitated efficient data storage and processing, enabling Adidas to leverage the scalability and performance of the cloud platform.

Real-Time Data Warehousing

Azure Synapse Analytics was employed to create a robust data warehousing solution. This provided Adidas with the ability to store and manage large volumes of data, while also supporting real-time data processing and analytics.

Real-Time Data Warehousing

Azure Synapse Analytics was employed to create a robust data warehousing solution. This provided Adidas with the ability to store and manage large volumes of data, while also supporting real-time data processing and analytics.

Real-Time Data Warehousing

Azure Synapse Analytics was employed to create a robust data warehousing solution. This provided Adidas with the ability to store and manage large volumes of data, while also supporting real-time data processing and analytics.

Visualization and Analytics

Power BI dashboards were developed to provide Adidas with real-time insights. These dashboards were designed to be user-friendly and customizable, allowing Adidas' teams to monitor key performance indicators, track trends, and make data-driven decisions quickly.

Visualization and Analytics

Power BI dashboards were developed to provide Adidas with real-time insights. These dashboards were designed to be user-friendly and customizable, allowing Adidas' teams to monitor key performance indicators, track trends, and make data-driven decisions quickly.

Visualization and Analytics

Power BI dashboards were developed to provide Adidas with real-time insights. These dashboards were designed to be user-friendly and customizable, allowing Adidas' teams to monitor key performance indicators, track trends, and make data-driven decisions quickly.

Monitoring and Maintenance

Centen Data set up monitoring tools to continuously track the performance of the ETL pipelines and data integration processes. Regular maintenance schedules were established to ensure the system remained efficient and reliable over time.

Monitoring and Maintenance

Centen Data set up monitoring tools to continuously track the performance of the ETL pipelines and data integration processes. Regular maintenance schedules were established to ensure the system remained efficient and reliable over time.

Monitoring and Maintenance

Centen Data set up monitoring tools to continuously track the performance of the ETL pipelines and data integration processes. Regular maintenance schedules were established to ensure the system remained efficient and reliable over time.

Impact

The implemented solution brought about several significant benefits for Adidas:

Increased Efficiency

The automated ETL processes significantly reduced the time required for data ingestion and processing, leading to faster access to critical insights.

Improved Data Quality

Standardization and cleaning of data ensured higher accuracy and consistency, which improved the reliability of the analytics.

Real-Time Insights

The integration with Microsoft Fabric and Power BI enabled Adidas to gain real-time insights, enhancing their ability to respond swiftly to market changes and internal performance metrics.

Cost Savings

By streamlining data processes and reducing manual interventions, Adidas achieved cost savings in terms of both time and resources.

Enhanced Decision-Making

The comprehensive and timely insights provided by the Power BI dashboards empowered Adidas' leadership to make informed, strategic decisions, driving overall business growth and performance.

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Ready to upgrade
your business?

Access our detailed presentation to see how CENTEN DATA can revolutionize your business with intelligent data insights and bespoke solutions.

Ready to upgrade your business?

Access our detailed presentation to see how CENTEN DATA can revolutionize your business with intelligent data insights and bespoke solutions.