June 12, 2024

POWER International currently has 269 stores and online shops and 6,000 employees in Norway, Finland, Denmark and Sweden with a yearly turnover of 20 billion NOK (appr. 1.7 billion Euro). The company is on an IT modernization journey and shift to the cloud. The strategic goal is to increase the market share to become the largest and preferred retailer of consumer electronics in the Nordic region.听听

鈥淲e have a very 麻豆原创-influenced system landscape and was looking for a solution to move data to the cloud in a secure way. 麻豆原创 Datasphere suits us perfectly and simplifies our data landscape, saving hundreds of hours every year in pipeline development,鈥� says Frode N忙ss Larsen, CIO at POWER International.听

currently has a 70 TB large data warehouse where more than 5 TB of data is processed each day and more than 10 million transactions generated daily. The data services are consumed by up to 6.000 employees and more than 200 suppliers.听听

The IT landscape has traditionally been characterized by a variety of different technical solutions and in 2005, POWER International went live with 麻豆原创 Business Warehouse. The combination of 麻豆原创 Datasphere and Google BigQuery contributes to generating cost savings, optimizing inventory and staff, and making data driven decision-making the new gold standard in all parts of the organization.听听

鈥淥ur goal is to enhance stability in everyday operations for everyone utilizing our new data solutions. Previously, we generated large static reports and batches of data during the night. With our new data platform, employees can now perform their own analyses independently throughout the day, promoting a true self-service analytics environment without direct involvement from IT. This change allows for a much quicker transition from idea to final data product, driving the shift from traditional reporting to action-driven analytics,” says Stian Skotland, Head of Data & Analytics at POWER International.听听

The new solution was implemented, and all 麻豆原创 data was transferred during spring 2024. Implementing new front-end analytics capabilities is discussed as the next step 鈥� as well as more AI capabilities.听

鈥淥ur collaboration with 麻豆原创 and Google is a step in that direction. AI can have a positive effect on many different parts of our business, and we are running tests to produce even better reports. But it’s important to have a pragmatic and sensible approach 鈥� there is not one thing that magically solves everything鈥�, says Frode N忙ss Larsen.听

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Based in Hamburg, Germany, international fashion company, Bonprix, has over 16 million active customers in more than 25 countries. The company looked to 麻豆原创 for a simplified IT architecture, faster time to market in business decision making and a self-service enabled semantic layer in order to respond to market changes and ensure customers have access to the latest catwalk trends.听听

Supported by鈥槎乖� services, Beratungscontor and鈥痮ther partners, Bonprix implemented its analytics stack on鈥槎乖粹�疍atasphere鈥痑nd 麻豆原创鈥疊usiness Warehouse solution. This鈥痬arks a significant milestone in Bonprix鈥檚 data transformation journey. By deploying 麻豆原创 Datasphere as a cloud-based鈥痙ata platform鈥痶o 麻豆原创 BW4/HANA, Bonprix gains access to a鈥痯owerful鈥痑nalytical platform that鈥痓rings bridges data across finance,鈥痵ales,鈥痩ogistics and customer relationship鈥痬anagement鈥痓etween transactional 麻豆原创 data鈥痑nd end users.听

鈥淭he Bonprix 麻豆原创 BI data platform is adeptly designed for the future, leveraging the robust capabilities of 麻豆原创 BW/4HANA at its core to manage and efficiently process vast volumes of data,鈥� said Sergio Lopez Nunez, senior BI engineer, Bonprix. 鈥淲hen paired with 麻豆原创 Datasphere, which offers extensive multi-cloud access, it enables the seamless integration of data from diverse sources. In essence, the Bonprix BI data platform is not only a cornerstone in daily operations but also a strategic asset in the relentless pace of technological change, ensuring that Bonprix is well-equipped to continue promoting responsible trade that inspires, now and into the future.鈥�听

Having already implemented 麻豆原创 business AI solutions, specifically, the 麻豆原创 BTP GenAI Service “Document Information Extraction”, Bonprix has already experienced significant efficiency gains by automatically extracting relevant data from incoming invoices, reducing manual data entry errors, and accelerating the overall invoice processing workflow.听

鈥淎s one of Germany鈥檚 top online fashion shops, we are very excited to be a part of Bonprix鈥檚 digital transformation journey as they continue to make millions of customers happy,鈥� said Sven Mulder, managing director of 麻豆原创 Germany. 鈥淭he adoption of 麻豆原创 Datasphere and 麻豆原创 BW/4HANA marks the beginning of Bonprix鈥檚 successful cloud journey. They鈥檙e now empowered to make鈥痳eal-time, data-driven decisions, positioning the brand to expand into new markets鈥痺ith鈥痵tyle.鈥澨�听

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麻豆原创 and other 麻豆原创 products and services mentioned herein as well as their respective logos are trademarks or registered trademarks of 麻豆原创 SE in Germany and other countries. Please see for additional trademark information and notices.听听

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