Alpine Data is making advancements to its Chorus platform, combining an integrated analytics platform with improvements that will accelerate the delivery of data.
Chorus 6 now delivers capabilities that will help business leaders take the reins in assisting organizations in managing processes that connect machine learning to business behavior.
The update adds Python integration with Jupyter Notebooks to provide a fast and flexible exploratory data analysis environment for data scientists.
For business leaders, Chorus 6.0 adds new collaboration and project management capabilities to organize teams of people to take a data science project from inception to completion.
“The innovations in Chorus 6.0 reflect that fact that successful machine learning strategies start with a well-posed business problem, and more than ninety percent of the value in machine learning is created outside the algorithm,” said Steven Hillion, chief product officer, Alpine Data. “The beauty of Chorus 6.0 is enabling enterprise teams to organize and apply rigor to the data science process all the way from defining the business problem, through to an operational solution.”
Additionally, Chorus 6.0 also provides new integration with Trifacta, allowing analysts and data scientists to discover, structure, clean, enrich, validate, and publish data for analysis.
Along with that integration, Chorus 6.0 leverages Alpine Touchpoints to operationalize analytic assets.
Touchpoints is an application services layer that enables business users to interact with complex analytic assets and incorporate them into their existing activities and workflows.
For more information about this update, visit http://alpinedata.com.