Dell is evolving its Statistica analytics package to make it more accessible to business people, increasing the effectiveness of analytics in driving business improvement.
As outlined by the tech giant, the latest version of its advanced analytics platform, delivers a host of capabilities designed to empower citizen data scientists, helping organisations better address growing Internet of Things analytics requirements, and better leverage increasingly heterogeneous data environments.
New features include functionality to help citizen data scientists better prepare structured and unstructured data, the ability to deploy analytics on devices and gateways anywhere in the world for edge scoring, and the extension of in-database analytics capabilities to platforms such as Apache Hive, MySQL, Oracle, and Teradata.
“Dell is following a trend in which software companies are competing to bring more power to nontechnical business people by giving them more direct control in interacting with their data,” Technology Business Research Principal Analyst Ezra Gottheil said.
“By reducing the need for technical middlemen, business users can conduct many more analyses and leverage their business understanding for increasing insight into data.”
Gottheil said Microsoft’s CEO Satya Nadella outlined a similar goal in announcing the Cortana Analytics Suite last year.
“Dell uses the term “citizen data scientist” to describe empowered business people working more directly with their data,” Gottheil added.
“The citizen data scientists are important because they integrate business knowledge with powerful analysis, and because data scientists are in short supply.”
For Gottheil, Statistica has two main tools to broaden the use of analytics: templates and analytic models.
Firstly, templates graphically embody entire analyses, giving less-technical users a collection of analyses that can be run as needed as new data becomes available.
Secondly, analytic models can be exported from Statistica and run on any PC and most other devices, also operating on new data as it becomes available.
“These exported models do more than make analysis available to business people,” Gottheil added. “They are especially useful in IoT embedded systems, and other applications in process control and monitoring.
“Dell calls this “edge analytics,” and the Statistica team works closely with the team behind the Edge Gateway, Dell’s flagship IoT product.”
Going forward, Gottheil said Statistica helps Dell position itself in the rapidly growing IoT and big data analytics markets.
“The team’s emphasis on making analytics available to business people is an astute direction," he added. "Dell’s challenge will be in communicating Statistica’s benefits to this population."