Almost everyone has a lot of data and needs to make operational management decisions. Such systems provide nearly limitless possibilities for reporting, complex analytics, forecasting, and planning.
For example, in taxi aggregators – the situation between customers and drivers is changing quickly; you need to understand what is happening. Even a delay of 15 minutes in this market is critical.
Or big online stores and retailers. It is essential to know the availability of stocks in the warehouse and revenue indicators here and now – after all, even in 10 minutes of a trading day, these values change very quickly.
Using these examples, you mentally tried on OLAP for your business. And we already understood how much you need such a system.
The most interesting of all these technologies are multidimensional OLAP and multidimensional systems, which are used to collect information from all company departments. The software for such systems is damn complex and exciting; it can work with various sources quickly and efficiently, simultaneously querying dozens of multi-terabyte tables.
However, the impressive ability to interrogate different suppliers is not the most crucial thing; such systems also have the coolest tools for working with the data itself.
Let’s take a look at a few representatives of the multidimensional database market for OLAP:
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