Data integration: stepping stone to centralizing data. This is where data is already inputted and exists - a key starting point since data needs to be collected and centralized before it can be transformed and turned into anything useful. Source systems: gather data from the various scattered data sources, such as databases, CRM and ERP systems, files, APIs, marketing stack, and more.For clarity, we’ll split this up into 2 sections: 1) the technical components of the stack itself, and the 2) functional components around methodology and organization - essentially, how to make better use of the technical components to analyze data more successfully. When the stack in place, that’s when business users can actually derive value from data.Īs always, it’s easier said than done, so let’s take a look at the different components that make up a BI data stack. It’s a full flow of the IT systems and software tools that are responsible for one or some component(s) of the overall stack – for example, collecting, storing, or analyzing the BI data. This architecture is a unified framework that encompasses the various technologies that are implemented in order for data to be visualized and analyzed. If it isn’t organized, how can they make sense of it and effectively make use of the data so that it adds value? How can business teams make data-driven decisions? It’s only going to get worse over time as it continues to sit in this mess, so if you haven’t already, it’s time to do something about it!įortunately, the answer isn’t rocket science: create a data stack that serves as your Business Intelligence architecture. This fragmented set-up makes it difficult for business leaders to get a clear picture of what’s happening in the organization, and how to steer their business in the right direction.ĭata is a treasure trove of gold that business teams can do wonders with – if they are able to consume it properly. If you’re a fast-growing business, chances are that you have data scattered in multiple tools, across different departments.
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