Cookie Settings

By clicking "Agree," you consent to the storage of cookies on your device to enhance site navigation, analyze site usage, and support our marketing efforts. For more information, please refer to our Privacy Policy.

Industries

Industries and sectors in which we focus on

Every industry is currently facing its own challenges, be it AI, cookieless future, automation, and much more. We offer individual solutions for various industries and their challenges.

Let´s explorer the industries and our insights together.

Abstrakte Form eines Pfades des Data Institute

Our industry solutions

Every industry has difficulties that it struggles with. Whether it's technological developments in industry, increasingly personalized needs in e-commerce, digitization in the media sector or blockchain in the financial sector — we know that companies do not need a simple template to solve data challenges, but an individualized solution.

Elderly couple reading newspaper on tablet

Media

Hardly any other industry has changed as much as the media industry in recent years. One reason for this is digitization and globalization, which has had immense influences on long-standing media companies.

At the same time, the industry is faced with the challenge of building new business models in order to remain competitive — and that is exactly what data products can be. However, the basis for this lies in high data quality and strong data protection and security policies (governance), so that the collected data can be stored and reused efficiently and securely.

Logistics hall with robots

Logistics

From the image of large warehouses with lots of people to rooms full of technology — rarely has an industry undergone such strong technological development as logistics.

Automation, for example through robotics, has risen sharply and not only ensures ever faster results, but also lots of data that needs to be stored and analyzed. It is precisely these that are also the basis for artificial intelligence, which is increasingly being used in logistics companies.

Group of people working in a bank

Finances

Blockchain, AI and the ever-increasing independence of customers — these are all things that are shaking up the financial sector and restructuring a lot of things. Plenty of FinTech start-ups are making their way to the top, while long-established companies want to defend their market share.

For both types of companies, it is important that they use data correctly and effectively in order to survive in the long term. Hardly any other sector is as severely affected by regulations on the collection, storage and use of data as the financial sector.

eCommerce Data Institute

eCommerce

Customers are becoming more and more specific in their wishes. This includes not only the desire for personalization and perfectly tailored recommendations, but also for individualization and the fastest possible delivery.

Purchasing behavior that is satisfactory for the company can only arise if buyers are also completely satisfied in their customer journey — this includes the mobile-first approach and thus the use of apps and the focus on mobile devices with the distinction between iOS and Android.

Two happy women shopping

Retail

A few years ago, people's shopping habits changed by 180° - instead of shopping in stores, many people prefer to shop online. What does that mean for the stores? Because it is not only shopping behavior that is changing, but also the demands placed on the shopping experience, the handling of one's own data and thus also on advertising and customer loyalty programs.

At the same time, competitive pressure is increasing due to successful start-ups, pop-up shops and the desire of customers for more sustainable production, fair working conditions and the Supply Chain Act.

Knowledge All about data

Do you want to learn more about data or even find out about us? Then take a look at our large library of knowledge. We not only have blog articles where you can find tool comparisons and explanations about buzzwords, but also webinars in which we train you on the trendiest topics. And of course, there are also our white papers, in which we explain procedures and best practices!

Abstrakte Form eines Pfades des Data Institute

blog

Even more knowledge about data

Machine Learning Data Institute Künstliche Intelligenz

webinars

First-hand knowledge from our experts

Abstrakte Form eines Pfades des Data Institute

glossary

Bundled know-how for data enthusiasts