The multibrand brand structure, a multi-channel sales organization and the volume of operations spread across different countries were the biggest challenges to the creation and enrichment of product master data. One of the main objectives of the project was to integrate product master data across different countries and ERPs.
By eliminating repetitive work done by users, it was aimed to prevent possible errors. With the data quality models applied, it was aimed to ensure the consistency of the product master data.
In advanced analytics models implemented with AI technologies and machine learning algorithms, an approach was determined to increase sales performance by minimizing deviations arising from product master data.
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Solution process and technologies used
Within the scope of the project, firstly the existing product master data was profiled and the problems were identified. Target ERPs and third-party applications to be integrated were identified, data quality rules related to the product master data were created.
After profiling the product master data with IDQ and identifying the existing problems, the design of the product structure was determined on Product360. Product hierarchy and attributes at different levels were identified and functionalized on the solution.
Import templates were prepared for users to create product data with excel files. An information infrastructure was created for feedback on errors that may occur during import. The product scoring algorithm was created in an architecture that continuously scans the system to score the quality of the product data created on Product360. Product360's APIs were used for integrations with target ERPs. Media Manager solution was enabled to associate digital assets with the product.
Kullanılan Teknolojiler
Beymen, Google Cloud sayesinde sağladığı faydayı en üst düzeye çıkararak toplam sahip olma maliyetini (TCO) sektördeki diğer örneklerine göre minimumda tutmayı başardı.
Eren Perakende, with more than 30 years of experience, nearly 500 stores and over a thousand sales points in 23 countries, continues its investments and determined progress in the sector, and preferred Informatica Product 360 solution to create and enrich content, categorization, all digital assets related to the products of its brands.
Project outcomes
The life of users who define products in the ERP layer started to change on the first day with the launch of the project. The product definition process, which took days, was reduced to minutes.
Data quality rules started to detect potential errors at the very first stage and warn users.
The need for IT for maintenance and update operations that need to be done in the product master data over time has been eliminated.
Processes running on large excel lists have become much more compact.
Hierarchical product structure eliminated the problem of repeatedly defining many product characteristics. The ability to view the product with all its digital assets and connections with other products.
Tüm bunları herhangi bir ön satın alma yapmadan, toplam sahip olma maliyeti minimumda tutarak gerçekleştirdik.
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