JMP Statistical Software

JMP Statistical Software

JMP Statistical Discovery
Looker

Looker

Google
+
+

Related Products

  • TIMi
    68 Ratings
    Visit Website
  • Google Cloud BigQuery
    2,023 Ratings
    Visit Website
  • Teradata VantageCloud
    1,124 Ratings
    Visit Website
  • dbt
    263 Ratings
    Visit Website
  • SCIKIQ
    14 Ratings
    Visit Website
  • Harmoni
    16 Ratings
    Visit Website
  • DbVisualizer
    584 Ratings
    Visit Website
  • Fraud.net
    56 Ratings
    Visit Website
  • Grafana Cloud
    859 Ratings
    Visit Website
  • D&B Connect
    188 Ratings
    Visit Website

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.

About

Looker, Google Cloud’s business intelligence platform, enables you to chat with your data. Organizations turn to Looker for self-service and governed BI, to build custom applications with trusted metrics, or to bring Looker modeling to their existing environment. The result is improved data engineering efficiency and true business transformation. Looker is reinventing business intelligence for the modern company. Looker works the way the web does: browser-based, its unique modeling language lets any employee leverage the work of your best data analysts. Operating 100% in-database, Looker capitalizes on the newest, fastest analytic databases—to get real results, in real time.

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

Scientists, Engineers, Researchers, and Analysts

Audience

Data and business teams interested in a powerful data analytics, business intelligence, and data visualization solution

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

Screenshots and Videos

Pricing

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

Pricing

Looker (Google Cloud core) offer three platform editions:

Standard: A Looker (Google Cloud core) product for small organizations or teams with fewer than 50 users that includes one production instance, 10 Standard Users, 2 Developer Users, upgrades, up to 1,000 query-based API calls per month, and up to 1,000 administrative API calls per month.

Enterprise: A Looker (Google Cloud core) product with enhanced security features for a wide variety of internal BI and analytics use cases that includes one production instance, 10 Standard Users, 2 Developer Users, upgrades, up to 100,000 query-based API calls per month, and up to 10,000 administrative API calls per month.

Embed: A Looker (Google Cloud core) product for deploying and maintaining external analytics and custom applications at scale that includes one production instance, 10 Standard Users, 2 Developer Users, upgrades, up to 500,000 query-based API calls per month, and up to 100,000 administrative API calls per month.
Free Version
Free Trial

Reviews/Ratings

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

Reviews/Ratings

Overall 4.8 / 5
ease 4.3 / 5
features 4.7 / 5
design 4.5 / 5
support 4.7 / 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.

Pros & Cons from Real Users

Pros

  • My favorite aspect of Looker is its customizable in dashboard design compared to the similar products.
  • Looker offers an intuitive interface that facilitates the creation of customized reports. The ability to integrate with multiple data sources is impressive, enabling deeper and more comprehensive analysis. In addition, the real-time data exploration feature is crucial for making informed decisions quickly, which is vital in our dynamic work environment.
  • Looker is great for data analytics needs and can transform complex data into insights. Modern interface makes it incredibly easy to build and customize reports.
  • Its ability to visualize data in a clear and understandable way makes it easy to identify unusual patterns or potential threats through interactive and customizable dashboards. Looker's ability to create detailed and automated reports is another great advantage. This not only saves time, but also ensures that reports are always up-to-date, which is crucial for informed decision making and regulatory compliance.
  • Looker has the ability to integrate with multiple data sources, making it easy to create custom reports and dashboards. I value the collaboration features, such as the ability to easily share reports and dashboards with colleagues. This improves team communication and helps make informed data-driven decisions. In addition, the ability to customize visualizations to the client's needs adds significant value to our service.

Cons

  • It's a bit costlier than other options available.
  • While Looker is powerful, the initial setup can be complex and requires a significant investment of time and resources.
  • UI can be complex for new users and Third party integration should be added.
  • One concern is the initial setup complexity. Integrating and organizing data from various sources can be challenging, requiring significant time and resources up front.
  • The lack of some export features may frustrate users who need to work with data in other formats.

Training

Documentation
Webinars
Live Online
In Person

Training

Documentation
Webinars
Live Online
In Person

Company Information

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

Company Information

Google
Founded: 1998
United States
cloud.google.com/looker/

Alternatives

Alternatives

dbt

dbt

dbt Labs
Alchemite

Alchemite

Intellegens
ndCurveMaster

ndCurveMaster

SigmaLab Tomas Cepowski

Categories

Categories

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 Visualization Features

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

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

Predictive Analytics Features

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

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

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

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 Visualization Features

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

Big Data Features

Collaboration
Data Blends
Data Cleansing
Data Mining
Data Visualization
Data Warehousing
High Volume Processing
No-Code Sandbox
Predictive Analytics
Templates

Business Intelligence Features

Ad Hoc Reports
Benchmarking
Budgeting & Forecasting
Dashboard
Data Analysis
Key Performance Indicators
Natural Language Generation (NLG)
Performance Metrics
Predictive Analytics
Profitability Analysis
Strategic Planning
Trend / Problem Indicators
Visual Analytics

Business Performance Management Features

Ad hoc Analysis
Ad Hoc Reports
Budgeting & Forecasting
Consolidation / Roll-Up
Dashboard
Key Performance Indicators
Predictive Analytics
Qualitative Analysis
Quantitative Analysis
Scorecarding
Strategic Planning

Embedded Analytics Features

Ad hoc Query
Application Development
Benchmarking
Dashboard
Interactive Reports
Mobile Reporting
Multi-User Collaboration
Self Service Analytics
Streaming Analytics
Visual Workflow Management

Marketing Analytics Features

A/B Testing
Campaign Management
Channel Attribution
Customer Journey Mapping
Dashboard
Performance Metrics
Predictive Analytics
ROI Tracking
Social Media Metrics
Website Analytics

Reporting Features

Customizable Dashboard
Data Source Connectors
Drag & Drop
Drill Down
Email Reports
Financial Reports
Forecasting
Marketing Reports
OLAP
Report Export
Sales Reports
Scheduled / Automated Reports

Sales Analytics Features

Collaboration Tools
Dashboards
Forecasting Analytics
Ideal Customer Profile (ICP)
Lead Analytics
Pipeline Management
Predictive Forecasting
Predictive Lead Scoring
Sales Intelligence Reporting

Web Analytics Features

Campaign Management
Conversion Tracking
Form Analytics
Goal Tracking
Keyword Tracking
Multiple Site Management
Pageview Tracking
Referral Source Tracking
Site Search Tracking
Time on Site Tracking
User Interaction Tracking

Integrations

Microsoft Excel
Airbyte
Attribuly
Blotout
Catenda Hub
Firebolt
GeoSpock
HubSpot Marketing Hub
Kleene
Latitude
Legion
Orchestra
Panoply
SAP Adaptive Server Enterprise (ASE)
SAS Analytics Pro
SPP.co
Singer
SpendView
UniverseBridge
Vistaly

Integrations

Microsoft Excel
Airbyte
Attribuly
Blotout
Catenda Hub
Firebolt
GeoSpock
HubSpot Marketing Hub
Kleene
Latitude
Legion
Orchestra
Panoply
SAP Adaptive Server Enterprise (ASE)
SAS Analytics Pro
SPP.co
Singer
SpendView
UniverseBridge
Vistaly
Claim JMP Statistical Software and update features and information
Claim JMP Statistical Software and update features and information
Claim Looker and update features and information
Claim Looker and update features and information