JMP Statistical Software
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What is dataloader.io?
Leverage the premier data loader for Salesforce to seamlessly and safely handle unlimited data transactions, including imports, exports, and deletions, for your organization. Our user-friendly, fully cloud-based platform allows for immediate accessibility; simply log into dataloader.io with your existing Salesforce credentials, removing the necessity for software downloads. Thanks to the integration of oAuth 2.0, you can initiate your operations without compromising security. Enhance your efficiency with features such as auto-mapping, keyboard shortcuts, and search filters that simplify the process of mapping data from your source files to Salesforce fields. You can effortlessly export related objects in one go, which saves you from the cumbersome task of collecting and rearranging multiple datasets in Excel. Importing and exporting data from various repositories, including Box, Dropbox, FTP, and SFTP, is a breeze. Moreover, you can schedule your import and export tasks to run automatically on a set hourly, daily, weekly, or monthly basis. Powered by the robust capabilities of MuleSoft's Anypoint Platform, dataloader.io guarantees a smooth experience for all your data management tasks. This impactful tool is crafted to enhance your workflow while ensuring top-notch security and efficiency, making it an invaluable asset for your organization. With its comprehensive features and user-friendly interface, dataloader.io truly transforms the way you manage your data.
What is JMP Statistical Software?
JMP is a versatile data analysis application that works seamlessly on both Mac and Windows platforms, offering a blend of advanced statistical features and captivating interactive visualizations.
Its intuitive drag-and-drop interface streamlines the data importation and analysis process, complemented by interconnected graphs, a vast array of sophisticated analytic tools, a built-in scripting language, and multiple sharing functionalities, all designed to enhance users' ability to examine their datasets both efficiently and effectively.
Originally developed in the 1980s to capitalize on the advantages of graphical user interfaces in personal computing, JMP has continually progressed by integrating cutting-edge statistical methodologies and tailored analysis techniques from various sectors with each new iteration. Additionally, John Sall, the organization's founder, plays an active role as the Chief Architect, ensuring that the software evolves to meet the dynamic needs of analytical technology. This commitment to innovation and user experience underscores JMP's reputation as a leading choice for data analysis across numerous fields.
Integrations Supported
Amazon Redshift
Azure SQL Database
FACS
Firebird
Google Sheets
IBM Db2
Impala
Ledge
MariaDB
Microsoft Access
API Availability
API Availability
Pricing Information
$99/month/user
https://dataloader.io/pricing
Free Version
Pricing Information
$1320/year/user
$1320/year/user. Bulk discounts available.
Free Trial Offered?
Supported Platforms
SaaS
Supported Platforms
Windows
Mac
Customer Service / Support
Standard Support
Customer Service / Support
Standard Support
Web-Based Support
Training Options
Documentation Hub
Training Options
Documentation Hub
Webinars
Online Training
On-Site Training
Company Facts
Organization Name
MuleSoft
Date Founded
2006
Company Location
United States
Company Website
dataloader.io
Company Facts
Organization Name
JMP Statistical Discovery
Date Founded
1989
Company Location
United States
Company Website
www.jmp.com
Categories and Features
Data Cleansing
Data Consolidation / ETL
Data Mapping
Multi Data Format Support
Raw Data Ingestion
Validation / Matching / Reconciliation
Categories and Features
Dashboard
Data Source Integrations
Functions / Calculations
Interactive
KPIs
Private Dashboards
Public Dashboards
Visual Analytics
Widgets
Data Analysis
Data Discovery
Data Visualization
High Volume Processing
Predictive Analytics
Regression Analysis
Sentiment Analysis
Statistical Modeling
Text Analytics
Data Cleansing
Address/ZIP Code Cleaning
Charting
Data Consolidation / ETL
Data Mapping
Multi Data Format Support
Raw Data Ingestion
Sample Testing
Data Discovery
Contextual Search
Data Classification
Data Matching
False Positives Reduction
Self Service Data Preparation
Sensitive Data Identification
Visual Analytics
Data Mining
Data Extraction
Data Visualization
Fraud Detection
Linked Data Management
Machine Learning
Predictive Modeling
Semantic Search
Statistical Analysis
Text Mining
Data Modeling
Not specified
Data Preparation
Collaboration Tools
Data Access
Data Blending
Data Cleansing
Data Governance
Data Mashup
Data Modeling
Data Transformation
Machine Learning
Visual User Interface
Data Visualization
Analytics
Dashboard Creation
Filtered Views
Relational Display
Simulation Models
Visual Discovery
Graphing
Not specified
Predictive Analytics
AI / Machine Learning
Benchmarking
Data Blending
Data Mining
Demand Forecasting
For Education
For Healthcare
Modeling & Simulation
Sentiment Analysis
Qualitative Data Analysis
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
Statistical Analysis
Analytics
Association Discovery
Compliance Tracking
File Management
File Storage
Forecasting
Multivariate Analysis
Regression Analysis
Statistical Process Control
Statistical Simulation
Survival Analysis
Time Series
Visualization