by Angela Guess
According to a recent press release, “Arcadia Data, provider of the first native visual analytics software for big data, today announced updates to its platform to streamline big data analytics with machine-assisted insights that allow greater accessibility and self-service to business analysts. Meant to reduce the complexity of handling modern data types and the associated workflows, Arcadia Enterprise version 4.2 is the next significant step in an ongoing path of innovation using machine learning and other methods to accelerate the value and usability of big data for business professionals.”
The release goes on, “Today’s business intelligence (BI) and analytics landscape requires IT teams and technical analysts to oversee the process of normalizing complex data types, to perform intensive extract/transform/load (ETL) processes, and to maintain a variety of data streams simultaneously. Those demanding tasks often result in inefficiency for business analysts to perform advanced analysis quickly when their tools force them to depend on IT for reporting and insights. Arcadia Data customers have overcome those obstacles to successfully deploy data lakes and modern analytical environments.”
Matt Aslett, research director of data platforms and analytics at 451 Research, commented, “Self-service analytics promises to democratize access to data and reduce time to insight. However, it currently also depends on having users with the requisite skills to visualize and interpret the data… One of the early opportunities for widespread enterprise adoption of machine learning lies in providing recommendations for visualization of complex data sources, lowering the barriers to insight.”
Read more at Globe Newswire.
Photo credit: Arcadia Data