Google

With over a thousand stores and hundreds of thousands of employees, Woolworths Australia requires careful planning and optimization of our facilities to maximize returns. Every step to produce useful data insights, from data collection to advanced analytics, influence significantly the company’s strategy. With Cloud Dataprep new capabilities, such as orchestration, the addition of new connectors, and enterprise operationalization, we’ll be able to deploy Cloud Dataprep more broadly and guarantee repeatable and trustworthy data outcomes to inform our business.

The biggest bottleneck we see in organizations transitioning to the cloud for their analytics is data ingestion, preparation, and cleaning. Initially, organizations need to move data to a common cloud data lake or warehouse leveraging an ETL platform such as Cloud Data Fusion and once it’s there it needs to be exposed to end-users in a self-service manner for the specific use case they’re trying to execute. This is exactly why we partnered with Trifacta on Google Cloud Dataprep to provide our customers with the best cloud solution for data integration and data wrangling.

Cloud Dataprep by Trifacta has enabled several of our analysts and data stewards to automate complex data preparation routines, build large analytical data models, and work with files too large for Excel or Access. This allowed us to avoid piling more work on top of our heavily backlogged data engineering teams and more than doubled our development velocity. By empowering data analysts, stewards, and scientists to perform tasks that would otherwise require a full development team, Cloud Dataprep has the potential to help us substantially improve the speed with which we deliver value.

Cloud Dataprep allows us to quickly explore new datasets and its flexibility supports all our data transformation needs. Data preparation work at Merkle is now completed in minutes, not hours or days, accelerating our data preparation time by 90%.