Let's look at 3 real examples where an IT partner helped a company _remove risks, simplify processes, and increase revenue._ 1. A custom DAM system for the Lenta retail chain Task:after 2022 "Lenta" risked losing access to a foreign cloud system for storing and managing media files. This threatened the stability of the website and mobile app.
It was necessary to replace dependence on an external vendor with an in-house solution. Solution:our experts implemented a _DAM system based on Pimcore_, installed it on the client's servers, and connected it to internal systems through___REST API_.
They also automated data migration, added key features such as automatic linking of photos to product cards, and set up the required reporting. Results: - Fully eliminated dependence on the foreign vendor and the risk of sudden service shutdown. - Ensured a seamless transition: the website and app continued to automatically receive product cards with images. - Preserved the media analysis and management tools content managers were used to by implementing the required reports in the new system.
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2. A new IT architecture for Ascona Task:Asconawas growing fast, but IT systems and business processes were not keeping up with the scale. There were problems processing custom orders, duplicate data, and slow rollout of new solutions. Solution:our experts analyzed the current processes and implemented _product information management system (PIM)_ on Pimcore.
The entire architecture was built using Apache Kafka.
We unified item master and digital asset management, automated data validation, and synchronized data between systems. Results: - Approval of non-standard orders dropped from 2 weeks to just a few minutes. - Online store sales grew by 62% in a year. - Data accuracy and completeness improved across all sales channels. - An architecture was built that is easy to scale and adapt to new tasks. 3.
How Magnit brought order to its data and sped up analytics Task: Magnit has tens of thousands of stores and more than 200 information systems. Analysts used more than 5,000 data marts. In such an ecosystem, it was difficult to find the needed information, verify its quality, and track sources.
Duplicated development increased costs, and the business lacked transparency. Solution: the partner team implemented a unified _data management platform_The project was delivered across several tracks at once: quality control, terminology management, and search automation tools were launched.
Key platform components: Data catalog: easy search across all reports, reference data, and data marts. - Business glossary: common terms and definitions agreed across departments. - Quality control: automated checks that detect data errors. - Data Assistant: a chatbot that helps find the needed data and answers employees' questions. Results: - The catalog covers more than 5,700 information objects, and 7 million elements were scanned to track changes. - Employees find the data they need in minutes, not hours.
The portal handles 5,000+ requests per month from 1,000 users. - 74 automated checks were configured, and responsibility for data quality was assigned across departments. - The platform became the foundation for moving from foreign solutions to domestic ones as part of the import substitution policy.