Monthly Archives: February 2014
STATISTICA Enterprise combines all the products from the STATISTICA family with the latest technologies for enterprise computing. STATISTICA Enterprise is an integrated multi-user software system that merges industry-standard database technologies with all the statistical and data mining analyses in STATISTICA. Reports can be configured in standard formats (HTML, PDF, Word). Access is controlled with user passwords and permissions.
This makes STATISTICA Enterprise a powerful tool for general purpose data analysis and business intelligence applications, as well as applications in manufacturing, research, marketing, and finance.
In business environments, STATISTICA Enterprise can be easily integrated into existing systems. And it can complement other software systems, such as ERP (Enterprise Resource Planning) software.
STATISTICA Enterprise Offers:
- Knowledge-sharing functionality that encourages collaboration among users
- State-of-the-art database connectivity options to access existing database management systems
- Analytic Report Generation
- Optionally process data from remote data servers “in place” (that is, without having to import data to a local storage device)
- Data filtering, automatic data monitoring and analysis, error detection and alarming
- Easy-to-use administration tools
Upgrade to STATISTICA Enterprise/QCif statistical process control/quality control are needed. It is designed for local and global enterprise quality control/improvement and Six Sigma applications. It includes a high performance database (or optimized interface to existing databases), real-time and remote monitoring and alarm notification for the production floor, a comprehensive set of analytical tools for engineers (all the functionality of STATISTICA QC Charts, Process Analysis, Design of Experiments, and much more), sophisticated, Web-enabled user interface and reporting features for management, Six Sigma reporting options, and much more.
Knowledge-sharing functionality that encourages collaboration among users
Standard network versions of application programs typically have no (or very limited) support for the collaborative work of groups of users, and (with the exception of designated multi-user database management applications) usually have no support for central, multi-user repositories of data. The main advantages of standard network versions of application programs are:
- lower cost “per seat” compared to stand alone programs
- saving disk space (since only one copy of the application files resides on the network)
- ease of patching or upgrading to new versions (only one copy needs to be reinstalled or patched)
However, no file sharing or any other groupware/multi-user features are supported in such applications, and, for example, two users cannot work on the same file.
STATISTICA Enterprise users can share queries of any degree of complexity, allowing them to retrieve specific subsets of data from central repositories and share scripts of analyses that can be centrally updated. For example, predefined reports that can be centrally modified by supervisors analysts. The results of their work can be shared either in the local environments (by making them available to other users who enjoy the respective access privileges), or the global network (by publishing HTML reports on the Internet/Intranet).
Moreover, with the addition of the optional WebSTATISTICAfunctionality, users can benefit from the power of STATISTICA using virtually any computer in the world that is connected to the Internet.
State-of-the-art database connectivity options to access existing database management systems
Fully integrated with a suite of system administration tools, STATISTICA Enterprise provides an efficient general interface to enterprise-wide repositories of data. Data can be accessed via industry-standard database protocols such as OLE DB and ODBC. Or data historian repositories such as the PI Data Historian from OSI Soft, Inc, can be used.
STATISTICA Enterprise is organized around a central STATISTICA Enterprise configuration database that can be installed on any industry standard database management system. This includes all major scalable systems such as Oracle, Microsoft SQL Server, IBM DB2, etc. The installation of the STATISTICA Enterprise warehouse can be set up using a pre-defined database template (schema), so the deployment of the system is relatively simple.
This enterprise data interface function makes data easily accessible, and provides one of the important advantages of STATISTICA Enterprise. In addition, the comprehensive STATISTICA Enterprise security management system allows the administrators to assign specific access privileges to particular categories of users.
Analytic Report Generation
Report generation is an important component of the STATISTICA Enterprise architecture. You can use report configurations and report generation in STATISTICA Enterprise to create formatted documents (PDF, HTML, MS Word) and analysis summaries of any of the tabular and graphical results produced by STATISTICA.
STATISTICA Enterprise provides a graphical user interface for defining the layout of formatted documents, including the placement of graphs and tables, the contents and formatting of headers/footer, static and dynamic text elements, and any additional formatting elements specific to the document type. The results of the report template definition are saved as a STATISTICA Report template document. Importantly, these Report Templates are stored centrally, wrapped with user access control and security, in the STATISTICA Configurations Database, deployed on an industry-standard relational database management system (RDBMS). Reports may either be run on-demand or as batch, scheduled tasks.
Optionally process data from remote data servers “in place” (without having to import data to a local storage device)
STATISTICA Enterprise offers options to process data from remote databases “in place” without the need to import the data to the local storage device. This technology produces significant performance gains (compared to importing the data subsets before they can be processed). It also allows you to process datasets that are larger than the local storage device’s capacity (e.g., terabytes of data).
Automatic data monitoring/analysis; analytic auto-responding; enterprise data broadcasting
In today’s rapidly changing business world, success depends more than ever on a business’ ability to quickly respond to the changing conditions. The reliance on comprehensive insight into the available data and the ability to quickly respond either directly or by performing appropriate, predefined analyses are no longer a luxury but a real necessity. The proactive data broadcasting and automated analysis functions available in STATISTICA Enterprise are the ideal complement to procedures found in ERP software.
STATISTICA Enterprise features powerful facilities to automatically react to user-defined conditions in data. These custom-defined conditions can be of practically any complexity and they can even represent results of on-line analyses performed by STATISTICA Enterprise in real-time on the incoming data stream or on sampled data.
These flexible facilities are built using StatSoft’s real-time data monitoring technologies and they can be used in countless business or research applications. Facilities are provided to setup any STATISTICA Enterprise workstation as an automatic data monitor and/or processor, that will fetch or sample the appropriate data subsets from the STATISTICA Enterprise or other enterprise data warehouse, perform the predefined analyses and then respond appropriately. For example, when certain conditions are met (e.g., the price of a particular commodity reaches a certain threshold, certain inventory falls below a particular level, the number of complaints or registered defects compared to the moving average exceeds a preset tolerance level), then STATISTICA Enterprise will automatically execute a predefined action (e.g., send e-mail, send a fax, call a pager, or simply broadcast the relevant information or the result of analyses to selected members of the organization or nodes of the STATISTICA Enterprise installation).
Easy-to-use administration tools
Easy-to-use administration tools in STATISTICA Enterprise provide the power to define the specific permissions of users, the queries to external data sources, and the reports to be generated. Flexible tools allow you to customize the view that a user sees, organized by department, report type, etc. STATISTICA Enterprise is also centrally managed so that changes made to the system through the administration tools are immediately available on all workstations. The administration tools in STATISTICA Enterprise are similar to those available in STATISTICA Enterprise/QC.
STATISTICA Enterprise is compatible with Windows XP, Windows Server 2003, Windows Vista, Windows 7, and Windows Server 2008.
This product requires the installation of a database. StatSoft supports the use of ODBC compliant databases such as Access, SQL Server, Oracle, and others.
System Requirements are based on an average size implementation. Server requirements are based on the number of concurrent users simultaneously accessing the system.
Minimum System Requirements
Operating System: Windows XP or above
RAM: 1 GB
Processor Speed: 1 GHz
Recommended System Requirements
Operating System: Windows Server 2003 or later
RAM: 2 GB
Processor Speed: 2.0 GHz, 64-bit, dual core
- System Requirements are based on an average sized implementation.
- For the 32-bit version of STATISTICA, a 64-bit processor and operating system is recommended due to the better memory management of the 64-bit operating systems.
Butler Analytics Highlights STATISTICA’s Strengths
Martin Butler of Butler Analytics, a London-based business intelligence consultancy, has earned a reputation as a well-informed, vendor-neutral resource for his clients. Butler regularly speaks and writes publicly about industry trends and analytics solutions, so he recently made time to learn about STATISTICA. His review makes note of STATISTICA‘s integration, graphical interface, and flexibility.
“One of the most powerful aspects of the product set is the level of integration, with seamless connections between disparate modes,” observes Butler. “Statistics, machine learning, data mining and text mining are all at the disposal of the user without having to migrate from one environment to another.”
He also appreciates STATISTICA‘s updated GUI, “a graphical interface where workflows can be constructed to process data…and used by anyone who has permissions.”
After listing a small sample of our software’s data mining and text mining functionality, Butler notes that larger organizations can scale up with STATISTICA Enterprise™ platform that “provides an enterprise working environment for business users as well as analysts.” Butler notes this broad enterprise appeal is achieved through a myriad of business tools (e.g., “analysis, reports and dashboards they can use, and various forms of monitoring and alerts,” he says) as well as flexibility of model deployment, which he confirms “includes PMML, C, C++, C#, Java, SAS, SQL stored procedures, and Teradata.”
See Butler’s full write-up here.
The STATISTICA Data Warehouse system is a complete, powerful, scalable, and customizable intelligent data warehouse solution, which optionally offers the most complete analytic functionality available on the market, fully integrated into the system.
- Features and Benefits
- Architecture and Connectivity
- Advanced Security and Authentication
- Document Control
- Advanced Analytics
- Programmability and Customizability
STATISTICA Data Warehouse consists of a suite of powerful, flexible component applications that include the following:
- STATISTICA Data Warehouse Server Database
- STATISTICA Data Warehouse Query
- STATISTICA Data Warehouse Analyzer
- STATISTICA Data Warehouse Reporter
- STATISTICA Data Warehouse Document Repository
- STATISTICA Data Warehouse Scheduler
- STATISTICA Data Warehouse Real Time Monitor and Reporter
If you are new to data warehousing, StatSoft consultants will guide you step by step through the entire process of designing the optimal data warehouse architecture, from a comprehensive review of your information storage and extraction/analysis needs, to the final training of your employees and support of your daily operations.