Fashion
ClearStory Data has updated its Spark-based Data Inference and Intelligent Data Harmonization capabilities through further machine-based discovery and scoring of data sources and their contents.
This is meant to drive fine-tuned recommendations to users who otherwise struggle in wrestling data and combining disparate sources to answer new questions.
This innovation computes and keeps track of alternate and even richer data blending and harmonization strategies so users can quickly identify and pick the data sources and elements that serve to accurately and quickly answer business questions.
The benefit to organizations is up to 20 times faster data discovery when determining the optimal overlap between large, disparate data sets and the ability to scale data discovery and preparation across more data complex sources and more users.
ClearStory provides the speed and flexibility that businesses need to ask and answer questions quickly based on data that is constantly evolving and in flux.
ClearStory’s business-optimized usability, coupled with an intelligent, machine-based approach to discovering and combining data even on large, complex sources, ensures a fast, consistent and simple experience so anyone can be self-sufficient in combining data and answering questions.
ClearStory Data’s new capabilities are offered as a core part of the ClearStory solution and customers can experience it starting in two weeks as part of their standard offering.
