Dell announced a major new release of its advanced analytics platform Statistica, Statistica version Dell 13.1. This latest version offers a host of features designed to empower citizens data scientists, helping organizations better respond to the growth of IoT requirements analysis, and better use of data environments become more heterogeneous.
New features Dell Statistica 13.1 version of include features to help citizens data scientists easily prepare structured and unstructured data, the ability to deploy analysis appliances and gateways worldwide for scoring edge, and extending the database statistics capabilities to platforms such as Apache Hive, MySQL, Oracle and Teradata.
advanced analytics continue to gain ground as the primary means by which organizations understand and predict customer behavior, optimize and validate business processes and critical manufacturing, and stimulate innovation for competitive advantage. According to Gartner, "by 2018, more than half of large enterprises in the world will compete using advanced proprietary algorithms and analysis, causing the disruption of entire industries." Gartner also predicts that by 2020 "predictive and prescriptive analysis will attract 40 percent of businesses' net new investment in business intelligence and analysis."
with the latest enhancements to Dell Statistica 13.1, companies would be better able to cope with the global shortage of traditional scientific data manage the complexity of modern IoT environments, fight against the proliferation of new data sources and data types.
Citizen science
As the global need for traditional scientific data far exceeds the available supply, data citizen scientists - every day non-technical users , which are incorporated in the sector - are increasingly the driving force analysis initiatives. Dell Statistica 13.1 addresses this emerging need with new data preparation capabilities built specifically for the scientific data of citizens which simplifies the preparation of structured and unstructured data.
In tandem with reusable process models STATISTICA, it is now easier than ever workflows for users share and distribute analytical with non-technical users. With Statistica, traditional scientific data can build analytical models and workflows once, and non-technical business analysts can re-use workflow templates repeatedly within the organization. This would eliminate redundancy and enables business users to effectively use the analysis to solve real business problems without the traditionally required technical expertise.
Bord rating for IoT analysis
When used in combination with Dell Boomi, Statistica now gives users the ability to deploy analytical atoms' on any device or gateway board, including the Dell 5000 series edge gateway, worldwide.
This advanced scoring ability would allow organizations to treat nearly any IoT analysis using the case by running analysis workflows directly on the network where the data is created. This would not only eliminate the effort and expense required to distribute massive amounts of IoT data to a central repository analysis, but it allows immediate action to be taken at the point of impact in response to an overview of data.
In-Database Analytics for complex data
The new version also extends the native Statistica Distributed Analytics architecture (NDAA) ability to provide database analyzes an even wider range of databases. In addition to Microsoft SQL Server, users can now perform Statistica analyzes database Apache Hive (on Spark), MySQL, Oracle and Teradata.
The use of database analysis would improve analytical and network performance by allowing users to perform intensive calculations directly in the source systems. This allows companies to leverage the computing power of Hadoop clusters, database devices and other high performance platforms while reducing network traffic by eliminating time process to move massive quantities of data across the network.
Analytics network fraud detection
Statistica now also has new network analysis features that allow users to combine the power of predictive analytics with human expertise to better detect fraud and to understand the relationships within complex networks . . Network Analytics allows users to look at problems in new ways to visualize the relationship of the entity and visualization graphics card association
Additional features of the Dell 13.1 Statistica that simplify and improve the delivering advanced analytics include:
- improved visualization dashboards, letting users "to easily view" the results of any analytical knot and tie specific visualizations in the process to the next level of MAS dashboards
- an enhanced Web interface that allows users to distribute analytical outputs "with a modern look and feel" in a web browser
- improved input validated data, ensuring that individuals based on manual data entry can build data quality at the point of collection to "it can be approved for robust analysis"
0 Komentar