Extract, Transform, and Load (ETL) is a data warehousing process that uses batch processing to help business users analyze and report on data relevant to their business focus and goals. ETL process basically pulls data out of the source, makes…
Analytics has become a strategic component, almost a necessety in same cases, of how value is created in most businesses. This last decade has been the one where people realised the real value of data and it has been the…
Data architecture is a big decision, especially if there is a digital transformation. Among the possible options, two of the most popular ones are the usage of “data warehouses” and “data lakes”. What is Data Warehouse? A data warehouse is…
A data strategy is a common reference of methods, services, architectures, usage patterns and procedures for acquiring, integrating, storing, securing, managing, monitoring, analyzing, consuming and operationalizing data. Although it may seem like something that only big corporations need to be…
Understanding what types of charts to use, and especially why is one of the struggles that slows down also my own reporting and analysis. Choosing the wrong visual could cause confusion with the viewer or lead to mistaken data interpretation.…
Nowadays more then ever, it is very difficult to grow and make trustworthy improvements without minimal data collection and interpretation. Without appropriate research and analysis, an idea is likely to remain in a lifeless state forever: this is why a…
Nowadays we live in an ultra-competitive world, where finding ways to emerge from the competition is vital. Business intelligence is the key to gain this advantage and is a set of theories, methodologies, processes, architectures and technologies that can transform raw data…
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