One of the biggest challenges in making data-driven decisions is the lack of easy access to data. In many organisations, so-called data silos are a common source of inefficiency. A data silo is a repository of data that's controlled by one department or business unit and isolated from the rest of an organisation, much like grass and grain in a farm silo are closed off from outside elements.
The best insights are created by collecting data from multiple sources and relating them to each other. Apart from the fact that these different sources first need to be made accessible, the data in those sources is often stored in different formats. This makes it difficult to use them for analytical purposes.
Raw data is just that – raw and unprocessed. The data management process includes a combination of different functions that collectively aim to make sure that the data in corporate systems is accurate, available and accessible.
These functions include automating the acquisition and transformation of data from the various disparate data sources, and storing it one environment, often in the form of a data warehouse. This way organisations have 24/7 access to verified, unambiguous, timely and relevant data. In addition, a data warehouse helps organisations meet the various data governance requirements.
The more complex organisations become, the greater the amount of technologies that need to be used to obtain unambiguous information from different data silos.
We use our expertise to ensure that our customers' data is complete, reliable, timely and available for their applications that use that data.
Are you interested in learning how Full Orbit's Data Specialists can help you? Ask Eric!