UNISTAT Description
Conducting effective statistical data analysis in Microsoft Excel can be challenging with the current add-ins and software tools available. However, UNISTAT stands out by integrating the capabilities and precision of a comprehensive statistical package into your existing data analysis and visualization routine. The process of utilizing UNISTAT as an Excel add-in is straightforward; simply highlight a data range and choose a procedure from the UNISTAT menus. Its user-friendly dialogue boxes make it easy to navigate, ensuring that you won't feel like you're using a separate application. This seamless integration enhances your analytical capabilities while maintaining a familiar Excel interface, making it a valuable tool for users looking to elevate their data analysis experience.
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-Manage process information with cascading folders that are grouped by customer, department and product.
-Password-protected concurrent use licensing controls access to features
-Process Monitor charts give a dashboard view of KPI
-Quickly analyze keyboard and data imported from Excel or other ODBC sources like ERP, SAP, LIMS, or LIMS.
-Data entry via electronic gaging is supported in the optional Work Set view
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-Show stratification patterns by using symbol shape/color or filter data using traceability field.
Optional Web SPC interface to report, data entry and process monitoring throughout your supply chain without the need for a local installation
-Optional Calibration Management or separately as QA–Calibrate
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Pricing
Pricing Starts At:
$995 one-time payment
Integrations
No Integrations at this time
Company Details
Company:
UNISTAT
Year Founded:
1984
Headquarters:
United Kingdom
Website:
www.unistat.com
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Product Details
Platforms
Windows
Customer Support
Business Hours
Online Support
UNISTAT Features and Options
Statistical Analysis Software
Analytics
Association Discovery
Compliance Tracking
File Management
File Storage
Forecasting
Multivariate Analysis
Regression Analysis
Statistical Process Control
Statistical Simulation
Survival Analysis
Time Series
Visualization
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