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Data Warehousing
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A data warehouse is a system used for reporting and data analysis, and is a core component of business intelligence. Data warehouses store a large amount of data that has been collected from a wide range of sources within a company. They store current and historical data into a single place, which is then used for creating analytical reports for workers throughout the enterprise. There are two ways to implement a data warehouse: you can build an on-premises DW tailored to the specific needs of your organisation or you can use an external cloud-based data warehousing provider to manage and maintain it.



The traditional method of data warehousing is achieved by operating an on-premises data warehouse. Utilising this method requires utilising internal IT resources, infrastructure and software to deliver data warehousing functions. This can become too complex and too expensive for a lot of businesses. It can be difficult to maintain and upscale with an exploding demand for data-driven insight.

However, some businesses prefer internal warehousing to ensure internal security control of data. For a company that requires specific and tailored security measures, a custom-made on-prem data warehouse may be the best solution.

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Increasingly, there has been a trend towards using cloud-based data warehousing architecture. This methods involves leveraging an external cloud provider to provide DW functionality. By using a provider, the initial setup costs are avoided, and the enterprise warehouses are fully managed by the service provider. This includes system updates and patches.

At Billigence, we work with our software partners Snowflake to implement a fully relational ANSI SQL data warehouse, allowing your organisation to utilise the tools and skills it has already. This method eliminates the need for arduous management and administration on the business’ end, allowing the business to focus on using your data for insight rather than wasting time and resources managing it.



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