AWAI

AWAI

OFFICE KAMIYA Inc.
JMP Statistical Software

JMP Statistical Software

JMP Statistical Discovery
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About

AWAI has two ways of working, built on the same analysis engine. Group analysis replaces a fixed questionnaire. You write what you want to ask in plain prose and share an invite link; respondents need no account. Each person talks with the AI on their own, and the AI follows up to draw out their thinking. Afterward, every conversation is regrouped by opinion, by the reason underneath it, and by how many people arrived there. A view only one person raised stays visible as an outlier instead of being averaged away. Up to 100 respondents on self-serve. Meetings work in real time. Each participant picks the language they speak and read in, and what people say collects under topics while the conversation is still going. Afterward the meeting stays sorted by topic rather than as a transcript. Both end in a document: put a plain-language question to the material and it becomes a report, exportable to PDF and hand-editable at no extra cost. A public demo needs no signup.

About

JMP, data analysis software for Mac and Windows, combines the strength of interactive visualization with powerful statistics. Importing and processing data is easy. The drag-and-drop interface, dynamically linked graphs, libraries of advanced analytic functionality, scripting language and ways of sharing findings with others, allows users to dig deeply into their data, with greater ease and speed. Originally developed in the 1980’s to capture the new value in GUI for personal computers, JMP remains dedicated to adding cutting-edge statistical methods and special analysis techniques from a variety of industries to the software’s functionality with each release. The organization's founder, John Sall, still serves as Chief Architect.

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Audience

HR and organization-development teams collecting employee opinions; executives and team leads who need decisions backed by the reasoning behind them; multilingual or distributed teams that meet across languages; consultants and researchers gathering qualitative feedback at scale.

Audience

Scientists, Engineers, Researchers, and Analysts

Support

Phone Support
24/7 Live Support
Online

Support

Phone Support
24/7 Live Support
Online

API

Offers API

API

Offers API

Screenshots and Videos

No images available

Screenshots and Videos

Pricing

$11.99/month
Free Version
Free Trial

Pricing

$1320/year/user
$1320/year/user. Bulk discounts available.
Free Version
Free Trial

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

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Reviews/Ratings

Overall 5.0 / 5
ease 5.0 / 5
features 4.0 / 5
design 5.0 / 5
support 5.0 / 5

Pros & Cons from Real Users

Pros

  • JMP combines the intuitive programing of Excel with the power of the SAS platform. An awesome environment in which to acquaint people with stats outside of the 'basics'.

Cons

  • Few. The graphs are not necessarily as pretty as I would like, but the ability to quickly construct and modify a graph or analysis definitely make my complaint more of a gripe.

Training

Documentation
Webinars
Live Online
In Person

Training

Documentation
Webinars
Live Online
In Person

Company Information

OFFICE KAMIYA Inc.
Founded: 2016
Japan
www.officekamiya.co.jp/

Company Information

JMP Statistical Discovery
Founded: 1989
United States
www.jmp.com

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Categories

Categories

Qualitative Data Analysis Features

Annotations
Collaboration
Data Visualization
Media Analytics
Mixed Methods Research
Multi-Language
Qualitative Comparative Analysis
Quantitative Content Analysis
Sentiment Analysis
Statistical Analysis
Text Analytics
User Research Analysis

Dashboard Features

Annotations
Data Source Integrations
Functions / Calculations
Interactive
KPIs
OLAP
Private Dashboards
Public Dashboards
Scorecards
Themes
Visual Analytics
Widgets

Data Analysis Features

Data Discovery
Data Visualization
High Volume Processing
Predictive Analytics
Regression Analysis
Sentiment Analysis
Statistical Modeling
Text Analytics

Data Cleansing Features

Address/ZIP Code Cleaning
Charting
Data Consolidation / ETL
Data Mapping
Multi Data Format Support
Phone/Email Validation
Raw Data Ingestion
Sample Testing
Validation / Matching / Reconciliation

Data Discovery Features

Contextual Search
Data Classification
Data Matching
False Positives Reduction
Self Service Data Preparation
Sensitive Data Identification
Visual Analytics

Data Mining Features

Data Extraction
Data Visualization
Fraud Detection
Linked Data Management
Machine Learning
Predictive Modeling
Semantic Search
Statistical Analysis
Text Mining

Data Preparation Features

Collaboration Tools
Data Access
Data Blending
Data Cleansing
Data Governance
Data Mashup
Data Modeling
Data Transformation
Machine Learning
Visual User Interface

Data Visualization Features

Analytics
Content Management
Dashboard Creation
Filtered Views
OLAP
Relational Display
Simulation Models
Visual Discovery

Predictive Analytics Features

AI / Machine Learning
Benchmarking
Data Blending
Data Mining
Demand Forecasting
For Education
For Healthcare
Modeling & Simulation
Sentiment Analysis

Statistical Analysis Features

Analytics
Association Discovery
Compliance Tracking
File Management
File Storage
Forecasting
Multivariate Analysis
Regression Analysis
Statistical Process Control
Statistical Simulation
Survival Analysis
Time Series
Visualization

Integrations

Amazon Aurora
Amazon Redshift
Azure SQL Database
FACS
Firebird
IBM Db2
IBM SPSS Statistics
Impala
MATLAB
Microsoft Access
Microsoft Excel
OAuth
Oracle API Management
R
SAP Adaptive Server Enterprise (ASE)
SAP HANA
SAS Visual Data Science
SAS Viya
SQL Server
SciCord

Integrations

Amazon Aurora
Amazon Redshift
Azure SQL Database
FACS
Firebird
IBM Db2
IBM SPSS Statistics
Impala
MATLAB
Microsoft Access
Microsoft Excel
OAuth
Oracle API Management
R
SAP Adaptive Server Enterprise (ASE)
SAP HANA
SAS Visual Data Science
SAS Viya
SQL Server
SciCord
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