With the volume of data that businesses today are generating, there is no longer a need to rely on sheer instinct or even standard practices when making business decisions. Data-driven companies are continuing to stand out from their competition and any business that is not leveraging their data — from customers, ecommerce, digital marketing, etc. — is leaving an opportunity on the table.
The role of a data warehouse in business intelligence may not be immediately obvious, but data warehousing and business intelligence go hand-in-hand.
There are a number of things to keep in mind when developing a business intelligence strategy, including but not limited to:
Part of this decision should include how you’re going to get your data into your warehouse. You are likely collecting data from many different sources like marketing tools, ecommerce, production databases, and advertising platforms that come in many different formats. A data warehouse can not only store this data, but with the right complementary data integration tools can make sure the data is clean, deduplicated, and usable. In addition, a data warehouse, such as a Snowflake data warehouse, can be a boon to data security, making sure that it’s easy to delete sensitive customer data as needed and control access to data easily.
This process sounds complicated, but it doesn’t have to be. Providers like Mozart Data offer all-in-one solutions and data analyst support, so you don’t have to worry about your data getting to its destination and being cleaned properly.
Of course, you will also want to verify that your BI tool works seamlessly with your data warehouse solution. Mozart Data has chosen to partner with Snowflake for data warehousing because we know it is secure, flexible, and easy to use, no matter what BI tool you choose.