In the past, building a data warehouse was an expensive undertaking that may take months or years before value is able to be proven. On top of this, an IT manager in charge of your data warehouse may leave the company, or servers may go down occasionally.

Data Warehousing Process

Now through the proliferation of cloud computing technology, a powerful data warehouse can be built in just hours or days with the help of an expert. We follow a simple process that is outlined below:

1. Connect and Ingest data from all sources
2. Store Data
3. Data Cleansing, Transforming, and Preparation
4. Data Visualization and Analysis
5. Data Activation

Data Warehousing Tools

Each of these steps is fleshed out in more detail in this infographic. We use a number of tools to get the job done, but the end result is that you have a data warehouse in the cloud. Some of the tools we use for building data warehouses include but aren't limited to:

• XPlenty
• Domo
• Google Cloud
• Google Big Query
• Amazon Web Services
• Amazon Redshift

Whether you need to automate a performance report or a budget tracker, or you need to push first party data into another platform, having a data warehouse is where to start. It is literally where the magic happens, and our magicians can help you get started! Don't hesitate to reach out via chat or the form below.