by Angela Guess
According to a new article out of the company, “ClearStory Data, the company bringing business-oriented Data Intelligence to everyone through fast-cycle, disparate data analysis, today announced another advancement to its industry-first Spark-based Data Inference and Intelligent Data Harmonization™ capabilities through further machine-based discovery and scoring of data sources and their contents to drive fine-tuned recommendations to users who otherwise struggle in wrestling data and combining disparate sources to answer new questions.”
The article goes on, “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.”
It continues, “Global 2000 enterprises today are looking to combine complex, multi-structured data from multiple sources — including existing data repositories, on-premise and SaaS applications, and third-party data — in order to answer pressing business questions. When combining three, four, six or more sources at one time, all it takes is for one of the sources in the mix to be complex to make the entire data prep and blending process a very complex, labor-intensive headache that leaves many business stakeholders dissatisfied with the process and results. 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.”
Photo credit: ClearStory