The result is that a lot of valuable data is locked up in Excel sheets and other difficult-to-access systems. And it’s not just companies with a long history and a basement full of unwieldy legacy servers that have this problem. For example, there are also e-commerce players. That for years have been so focused on the primary online process that Croatia WhatsApp Number List other systems and processes have lagged behin. Data in different formats You usually cannot simply merge data from different systems, departments and (if you work in an international company) data from different countries.
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Different systems often have different names for the same thing, use different fields to identify customers, or store fields in different date formats, number formats, or currencies. When they told you there was such a tremendous amount of work in data analysis. They probably didn’t mention that part of that work was removing spaces from date fields or converting decimal points to commas. Yet it is often such technical details that make it difficult to link and integrate data sources. Not a good data infrastructure Working with large amounts of data demands a lot from your IT infrastructure.
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It must be scalable and always accessible. Actually, this only works if you do it in the cloud. Not every company has the knowledge for this. But even within the cloud architecture, data infrastructure is still a profession in its own right. Most organizations therefore have to outsource this and are afraid of long, expensive development processes. So often the data project already stalls in this preparatory phase. Not enough data people The well-trained. Experience data people you need to get your data affairs in order are hugely in demand in the job market.