To prep data for analytics, many analysts must pull data from APIs; transform and merge records; and load data into a cloud data warehouse. By creating this data pipeline, businesses hope to achieve a 360-degree customer view, one that both aligns teams and ultimately improves the customer experience.

Easier said than done. Oftentimes, data values differ. One system may format dates as DD-MM-YYYY, another as YYYY-MM-DD. There are usually thousands of duplicate records, scores of conflicts to resolve. Modeling object relationships takes months of code. And even then, it’s often siloed.

Automating your data pipeline eliminates this manual data preparation, unifying data from your source applications into a single dataset that continually refreshes whenever the data in your source applications changes.

The automated data pipeline is at the heart of Fusion. Via a single interface, you simply connect your data sources and the resulting Fused Database to your BI tool of choice. What this gives you is the peace of mind that your customer data are accurate and always up-to-date.