Due to the COVID-19 pandemic, medium-sized companies have encountered quite a lot of problems. Using a mix of different software solutions to digitise marketing, sales, services and internal business processes is almost standard these days. However, when data exchange becomes inefficient and data gaps occur, system integration is the only solution. Various systems must interact efficiently and flexibly in a matter of seconds to provide data. To ensure this, you have to weigh up whether integrating system components is enough or whether a new comprehensive solution is required. Today, we take a closer look at one particular solution.
In the fashion world, one collection follows the next – at a rapid pace. Especially because of the impact this has on the environment, more and more people are rethinking their consumer behaviour. The alternative that everyone has already heard of is called second-hand fashion. Its popularity has increased so significantly that even fashion giants like Zalando have decided to launch their own second-hand platforms. In today’s reading tips of the week, we show you which other companies are successfully operating in this segment, why it is worth investing in second-hand fashion and how you can integrate the trend into your own business strategy in the best possible way.
Companies have more and more systems at their disposal to optimise processes, manage data in a more structured way and better meet customer needs. One software that is often taken into consideration in this context is master data management software. In today’s reading tips of the week, we tell you what MDM is all about and explain why implementing such a system is a good idea.
Flexibility is essential in this day and age. Those who rely on traditional, inflexible systems simply cannot keep up with challenges increasing day by day. This also applies to content management systems, which are only competitive in their flexible, headless form these days.
These are reading tips, not investment tips – and no maths class for fifth graders either. We will get to both later though. Since these are reading tips, we refer to other texts worth reading – to this one from the deepest SPIEGEL ONLINE archives, for example, which was published in 2003. Such a long time ago!
The article portrays the CEO of the »hottest start-up« from Silicon Valley at the time, a company that was worth investing in: Salesforce’s Marc Benioff. One of the central passages of the SPIEGEL article goes as follows: »›Wir sind gute Verkäufer‹, sagt Benioff mit dem ihm eigenen Mangel an Bescheidenheit und versucht dabei, nicht zu grinsen.« (»›We are good salespeople,‹ Benioff says with his characteristic lack of modesty, trying not to grin.«) The quintessence of the article: Salesforce offers unusual marketing strategies for what is basically fairly standard customer relationship management software. The only new feature: it does not have to be installed but is a web-based solution. Only?
Zoom meetings. Conferences on Slack. Calls via the Teams app. Homeschooling. Doctor’s appointment via a surgery portal. Video chats come into play wherever conversations of a formal nature take place. They often work according to the same principle.
Are they efficient? Yes. Can they digitally reproduce real conversations 1:1? Not always. What a shame, really. Where are the holograms inspired by sci-fi movies when you need them? They could soon become reality.
Data is the new oil. It means progress and holds huge potential. You just have to recognise it and derive appropriate measures. Understanding data and identifying opportunities guarantees long-term success.
Accordingly, it is up to every company not only to manage the enormous amount of data collected and generated on a daily basis, but above all to create an understanding of data – throughout the entire company and also among external stakeholders. Data-driven culture makes it possible.
»Alexa, order detergent!«, »Siri, what’s the weather going to be like today?«, »OK Google, show me sports shops nearby!« – this is pretty much how many dialogues in German households go. Voice assistants are en vogue right now and will play an even greater role in the future.
People are getting older, lazier and want their information more quickly. These alone are three reasons why voice assistants will be used even more in everyday life in the future. Today’s reading tips provide you with an overview of voice assistant features, perspectives and possibilities of using them for your own business.
In many areas of life, we encounter artificial intelligence (AI) almost every day. Over the last few years, its presence and impact on our daily lives has steadily increased – and there is no end in sight to this development. One branch of AI is called machine learning. It describes the artificial generation of knowledge from experience. This enables systems to build algorithms and recognise new connections. It is therefore logical that companies can benefit from this, especially in the digital age. In today’s reading tips of the week, we explain which disciplines exist within this branch of AI, what concrete advantages machine learning offers and how it differs from deep learning, another term in the buzzword jungle.
It was bound to happen. We all knew that the day was not too far away, but now the time has come. The Chinese short video app, the super social media portal, the digital teen dance video among social networks has made it: TikTok overtakes Instagram, the number one social media platform. But in which category? Usability? Number of users? Range of features? Almost. TikTok has become the opinion leader. Somehow.