Research shows that analysts spend 60-80% of their time preparing data for analysis. Data blending empowers analysts to deal with disparate data sources to speed up the data preparation process, allowing them to focus on improving predictive modeling techniques and outcomes.
Read our latest cookbook, “7 Steps to Data Blending for Predictive Analytics,” and learn how data blending in Alteryx can help you:
- Access, cleanse, and join disparate data sources without coding or outside intervention
- Reduce time spent on data preparation, leaving more time for building predictive models
- Build datasets for predictive modeling in Alteryx, R, SAS, or SPSS
See how Alteryx delivers an intuitive workflow for data blending and advanced analytics that delivers deeper business insight in hours, not weeks.
“Previously, to do statistical analysis or predictive modeling, I would have to export the data into another software solution. With Alteryx, I am able to keep all of the analysis as part of the same workflow. In fact, I can do all of my data extraction, cleansing, exploration, and modeling in one module — seamlessly.”
— Greg Bucko, Manager of Customer Insights, Southern States