Manual data analysis is a time-consuming process that ties down analysts in low-level and low value-added tasks. This hurts the speed and quality of insight discovery and decision-making, ultimately burning out experts and holding back innovation.
Augmented analytics solutions automate data analytics processes to help organizations get the most value from human input — by saving it for where it makes the greatest impact. Analysts and data consumers can focus on work that benefits more from human intelligence, while machine learning algorithms support their work by handling data preparation and insight generation tasks. This in turn enables and boosts advanced capabilities such as predictive maintenance, customer segmentation, fraud detection and more.
Starschema offers end-to-end conceptualization and implementation of customized augmented analytics solutions built around your use cases, from data preparation and pipeline construction to visualization, with pre-built components for performance at scale and fast time to value.