Help Desk

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Encryption Key Management

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IT Alert Management

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OpenStack Cloud

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Survey & Forms Building

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Customer Relationship Management (CRM)

Sales Consulting

Sales Incentive Compensation Management

Sales Training

Sales

Agriculture

Inventory Management

Last Mile Delivery

Military and Defense

Online Ordering

Shipping

Vertical-Specific

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Tableau Cloud

Wolfram's flagship product Mathematica is a modern technical computing application featuring a flexible symbolic coding language and a wide array of graphing and data visualization capabilities.

Mathematica Enterprise Edition

Standard Desktop

Standard Desktop & Cloud

Standard Cloud

Tableau Server allows Tableau Desktop users to publish dashboards to a central server to be shared across their organizations. The product is designed to facilitate collaboration across the organization. It can be deployed on a server in the data center, or it can be deployed on a public cloud.

Creator

Explorer

Viewer

Tableau Server

Point Sigma

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Data Discovery and Visualization

How Point Sigma's automated analyst helps M-Zone

Point Sigma finds the data-driven insights your business needs

Unlock valuable insights from your business data in seconds, without the need for data experts. Point Sigma discovers insights and answers in your data, so that you can easily understand your customers, business operations, the market or any other data you have.

See: https://www.point-sigma.com for more details.

Data Discovery and Visualization is the analysis of multiple data sources in a search for patterns and outliers and the ability to represent the data visually.

Pre-built visualization formats (heatmaps, scatter plots etc.)

Pre-built visualization formats are canned visualization types that can be selected to visualize different kinds of data.

Location Analytics / Geographic Visualization

Location analytics is the visualization of geographical or spatial data.

Predictive Analytics

Predictive Analytics is the ability to build forecasting models based on existing data sets.

Support for Machine Learning models

Machine learning refers to computer programs that can learn when exposed to new data.

Pattern Recognition and Data Mining

Pattern recognition and data mining mean the ability to recognize hidden patterns in large quantities of data.

Integration with R or other statistical packages

BI Standard Reporting

Standard reporting means pre-built or canned reports available to users without having to create them.

Customizable dashboards

Customizable dashboards are dashboards providing the builder some degree of control over the look and feel and display options.

Report Formatting Templates

Pixel Perfect reports

Pixel Perfect reports are highly-formatted reports with graphics and ability to preview the report before printing.

Ad-hoc Reporting

Ad-Hoc Reports are reports built by the user to meet highly specific requirements.

Drill-down analysis

Drill down analysis is the ability to get to a further level of detail by going deeper into the hierarchy.

Formatting capabilities

Ability to format output e.g. conditional formatting, lines, headers, footers.

Predictive modeling

Predictive modeling is the ability to build future forecasting models.

Integration with the open-source R predictive modeling environment.

Report sharing and collaboration

Report sharing and collaboration is the ability to easily share reports with others.

Report Output and Scheduling

Ability to schedule and manager report output.

Publish to Web

Publish to PDF

Output Raw Supporting Data

Report Versioning

Report versioning is the assignment of version numbers to each version of a report to help in tracking.

Report Delivery Scheduling

Report Delivery Schedule is the ability to have reports delivered to a destination at a specific data and time.

Delivery to Remote Servers

Ability to deliver reports to remote servers

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Point Sigma

Overview

What is Point Sigma?