Dell Targets 'Citizen Data Scientist' With Statistica 13.1
For Shire, having tools that enable nontechnical employees to run analytics initiatives in repeatable and validated ways is crucial, according to Rob Dimitri, head of process analytics at the global specialty biopharmaceutical company, which develops medicines for people with rare diseases. Traditionally, Shire employees would collect data and manually plug it into spreadsheets or Excel programs, which raised a number of issues, from scalability to validation to compliance, Dimitri told eWEEK. These challenges not only posed efficiency and cost problems, but also could lead to Shire having to discard a batch of medicine being developed. For a company that produces about 30 batches a year, any lost batches means that medicine doesn't reach the patients. With Statistica, employees have templates and models they can use to run a broad array of analytics initiatives and can then share the results. For Shire executives, this means faster, more relevant business information, processes that can be validated for compliance reasons and better product in the end. In addition, employees are empowered to more easily get the results and information they need. "They're coming to us" with their initiatives, Dimitri said. "We're not going to them." In addition to supporting citizen data scientists, Dell officials also are looking to enable companies to do more IoT analytics at the edge of the network. A number of tech vendors are pushing analytics closer to devices that are generating or storing the data. Having analytics at the network edge enables faster results and response times, and also reduces the amount of data being sent to a central location. Sending all the IoT-generated data over the network to a central place for analysis—and then sending the results back to the edge—not only costs a lot in bandwidth, but also opens up the data to security problems.Other capabilities in Statistica 13.1 include an extension of the company's Native Distributed Analytics Architecture (NDAA) technology to provide in-database analytics to a wider range of databases. Along with Microsoft SQL Server, users can now run in-database analytics on Apache Hive (on Spark), MySQL, Teradata and Oracle databases. The new version also combines predictive analytics with human expertise for improved network analytics, officials said. There also are improved visualization dashboards, an upgraded Web UI and enhanced validated data entry, they said.
In conjunction with Dell's Boomi business, Statistica can put what officials are calling "analytic atoms" into any edge device or gateway, including Dell's Edge Gateway 5000 Series, announced in October 2015. The technology enables the decision about what data needs to be sent back to a central repository to be made near the network edge.