{"id":8755,"date":"2025-06-26T19:48:29","date_gmt":"2025-06-26T17:48:29","guid":{"rendered":"https:\/\/www.datahouse.ch\/?p=8755"},"modified":"2025-07-22T13:27:17","modified_gmt":"2025-07-22T11:27:17","slug":"why-modern-data-platforms-are-a-smart-choice-for-swiss-companies","status":"publish","type":"post","link":"https:\/\/www.datahouse.ch\/en\/blog\/why-modern-data-platforms-are-a-smart-choice-for-swiss-companies\/","title":{"rendered":"Why Modern Data Platforms are a Smart Choice for Swiss Companies"},"content":{"rendered":"\n
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Company data often resembles an untapped treasure that can be transformed into a strategic advantage with the help of modern data platforms. Unlike traditional data architectures, data platforms offer not only speed, flexibility, and scalability but, most importantly, deeper insights into customers and internal processes.<\/em><\/p>\n\n\n\n

We\u2019ve all heard that data is the new oil. But it\u2019s much less common to hear that even the largest oil fields are useless if you don\u2019t have the right drilling rigs\u2014or more precisely, the right kind of rigs. In fact, the analogy between oil and data isn\u2019t quite accurate. An oil field lies statically beneath the earth for ages. Rigs remain in the same place for years, and the amount of oil steadily declines.<\/p>\n\n\n\n

The Volume of Data Is Continuously Growing<\/strong><\/h2>\n\n\n\n

Data, on the other hand, behaves very differently: its volume increases daily, sometimes exponentially. And it is spread across many different locations.<\/p>\n\n\n\n

So far, data has been collected either centrally or across several key storage locations. In a mid-sized company, each department\u2014like HR, Marketing, or Logistics\u2014typically manages its own data silo. Often, these are applications like CRMs, ERPs, or SharePoint servers, which are usually not interconnected.<\/p>\n\n\n\n

For a company to truly leverage its data, every team should be able to access the data they need\u2014including data owned by other departments.<\/p>\n\n\n\n

The drilling rigs need to be mobile and usable across departments.<\/p>\n\n\n\n

Legacy Data Architectures Lead to Silos and Fragmented Analyses<\/strong><\/h2>\n\n\n\n

Historically, the most common data architectures are either fully centralized across the organization or isolated within individual departments. This isn\u2019t necessarily bad in itself.<\/p>\n\n\n\n

However, it does carry the risk of data traffic jams\u2014or even data silos. For instance, CRM or ERP systems in Sales or Logistics may accumulate data that is accessible only to the teams that collected it, even though the data could be relevant for the entire organization. <\/p>\n\n\n\n

This can be resolved and prevented with the right measures. Still, the risk remains that these bottlenecks or silos go completely unnoticed.<\/p>\n\n\n\n

The Data Paradox: Knowing What You Don\u2019t Know?<\/strong><\/h2>\n\n\n\n

Another major risk lies in analysis and reporting: these might unknowingly be based on a fragmented data foundation.<\/p>\n\n\n\n

After all, how can you verify whether data from different sources has been properly consolidated? Or determine how much of it has actually been used? That\u2019s difficult to assess, especially as data volumes constantly grow and their structure changes within the organization.<\/p>\n\n\n\n

Traditional data architectures quickly reach their limits here, and the full potential of available data often goes untapped.<\/p>\n\n\n\n

Data Platforms: A New Approach to Data Management<\/strong><\/h2>\n\n\n\n

These challenges have led to a new way of thinking: offering data through platforms instead of centralizing it. There are many related concepts, including Data Mesh, Data Fabric, and Data Lakehouse. All of them share the same core principles. Data platforms are:
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