Dell Statistica

2013: Dell Statistica 13.1

In April, 2016 the company Dell announced release of the update of the version of the platform of profound data analysis Dell Statistica 13.1. The platform is focused on data specialists and the organizations which need data processing from a large number of devices of Internet of Things (IoT) and diverse sources. This functionality will help to prepare the structured and unstructured data, to install analytical tools on devices and gateways regardless of their location and to use functions of the internal analysis on platforms Apache Hive MySQL, Oracle and Teradata.

Thanks to innovations in Dell Statistica 13.1 companies will be able to cope with the shortage of traditional analysts and with complexity of the modern IoT environments and also to consider again appearing data sources and to distinguish new data types.

It is made for regular data specialists

This version of Statistica contains the functions focused on regular data specialists. Global demand for traditional analysts considerably exceeds the offer in labor market. Therefore involve permanent members of staff to work with data of the company. Such people, as a rule, have no serious technical training. Nevertheless, they play the main role in the projects of the organization connected with data analysis. Dell Statistica 13.1 considers this trend. This version of the platform is equipped with functions which simplify process of preparation of the structured and unstructured data.

Thanks to the Statistica templates it is simpler to employees to share the configured workflows with technically unprepared users. Statistica allows professional analysts to create once analytical models and to configure workflows. Then data specialists can reuse them within the organization. It saves from need to do the same work twice and allows to solve relevant problems without expert skills which usually are required in such work.

Peripheral analytics in IoT

In combination with Dell Boomi, the Statistica platform gives to users the chance to create "analytical atoms" on any end device or the gateway in the world, including series 5000 gateways Dell Edge Gateway. It will help the organizations to derive the maximum benefit from IoT as data analysis is made directly on those points of network on which there is their collecting. Data analysis not only saves delivery costs of data to servers on the periphery, but also allows to react instantly to different events on site.

Expanded analytics in databases for difficult environments

In this version of Statistica the Native Distributed Analytics Architecture (NDAA) element which allows to use internal analytics on more wide range of products now is improved. In addition to the Microsoft SQL Server users of Statistica from now on can use internal analytics in the solutions Apache Hive (on Spark), MySQL, Oracle and Teradata. Use of internal analytics improves effectiveness and reduces load of network as users execute transactions, exacting to resources, within the initial systems. Given functions of the platform allow the organizations to use Hadoop clusters, hardware platforms for databases and different other systems. At the same time they reduce the volume of the data transferred on network.

The network analysis for fraud detection

In Statistica 13.1 opportunities for detection of fraud in difficult network infrastructures appeared. They integrate the automated means with analytical skills of experts. The network analysis allows users to see problems in new foreshortenings, studying visual representations and graphic cards of interrelations.

Other innovations in Dell Statistica 13.1 which simplify profound analytics:

• the control panels with the improved visualization allowing users it is easy to see analysis results on any node and to attach the visualization connected with specific processes to the top level of the MAS panels;
• the updated web interface allows users to share modern reports which can be opened in any browser;
• the improved control over quality of the data entered by a manual method.