One of the biggest challenges companies faces today — is an increasingly diverse and complex data and tools ecosystem. As companies attempt to create a unified view of their consumers, it is not uncommon to find them manually undertaking data processing. As a result, they undertake expensive, inefficient, and manual data wrangling.
As data sources expand, manual wrangling processes become increasingly fragile. For example, manual data wrangling work is dull, tedious, and uninspiring for those required to undertake it. A day of manual processing missed, a file improperly handled, a folder of CSV exports deleted, a laptop lost...can toss painful, manual processes into chaos.
An automated, code-free data pipelines are helpful for teams that:
Manually managing and downloading reporting data
Generate, rely on, or store large amounts of data at third-parties
Maintain internal siloed data sources, like an ERP or CRM
As you scan the list above, most of the data sources you interface with on a daily basis — and probably your own — would benefit from a data pipeline.
For on our approach to data pipeline automation, see Data Pipeline Automation: Say Goodbye To Data That Is Messy, Complicated, Scary, And A Pain To Deal With