

Number Analytics
Number Analytics is an web based statistical software for academics and market research supporting various types of data (SPSS, Excel, CSV, STATA, Minitab, SAS) and platforms (iOS, Android, and Web).
Cost / License
- Subscription
- Proprietary
Application type
Platforms
- Mac
- Windows
- Linux
- Online
- Android
- iPhone
- Android Tablet
- Windows Phone
- iPad



Features
Properties
- Lightweight
Features
- Conjoint analysis
- ANOVA test
- Linear Regression
- Cloud based
- Zero percent transaction fee
- Statistics and Reports
- Portable
- No Coding Required
- Ad-free
- SPSS comparable results
- Attribute Rating Method
- Data science
- Predictive Modeling
- Data visualization
- Survey analysis
- Data analytics
- Perceptual mapping
- Customer Analytics
- Pivot tables
- Data Mining
- Clustering analysis
- Regression testing
- Statistical Testing
Tags
- statistics
- spss-alternative
- cloud-service
- survey-data
- multi-dimensional-scaling
- conjoint
- marketing-mix-model
- statisticaltool
- clv
- statistical
- contingency-analysis
- customer-anlaytics
- logistic-regression
- correlation
- bass-model
- frequency-table
- anova
- ltv
- statistical-graphs
- k-means
- business-analytics
- statistical-visualization
- customers-analytics
- analytics
- statistical-graphics
- spss
- log-linear
- choice-based-conjoint-survey
- choice-based-conjoint
- Data Analysis
- descriptive-analysis
- demand-forecasting
- demand-model
- demand-analysis
- import-spss-file
Number Analytics News & Activities
Recent activities
azrial added Number Analytics as alternative to Curasynth- POX added Number Analytics as alternative to Positron
berkaygediz added Number Analytics as alternative to SolidSheets- TheLeach liked Number Analytics
Featured in Lists
Graph, Stats , research
What is Number Analytics?
Number Analytics is for beginners and business users visually explaining statistical results with colorful graphs and automatic interpretation in plain english. It simplifies user interface and menus business friendly without complex statistical jargons. It supports mobile apps (iOS and Android) and web browsers for PC, Mac, and Linux.
-Statistical Analysis Summary statistics, T-test, ANOVA, Chi-square test, Linear regression, Logistic regression, Hierarchical Bayes model
-Business Analytics Pricing & Promotion micro level analysis (store or customer specific), Conjoint analysis for New Product Development, Customer segmentation, Customer Analytics (CLV and Customer churn analysis) Perceptual Mapping, Bass Diffusion Model, RFM analysis
Pricing Plan -Basic plan 2M file size, up to 5 second CPU computing time per job, Statistical Analytics
-Advanced plan 20M file size, up to 1 Min CPU computing time per job, Marketing Analytics
-Premium plan 200M file size, up to 20 Min CPU computing time per job, Customer Analytics




Comments and Reviews
it does not take too much efforts to use and users do not need a lot of knowledge about the statistics. Also, the result is easy for understanding with simple graphs and instructions.
It is a great tool for analyzing collected data, very easy to ues and doesn't require extensive statistical knowledge.
Numbers Analytics makes more easy to explore and analyse data. I recommanded it.
I like Number Analytics because it supports SPSS data file. Often I use survey data with labels and it is quite cumbersome in R. Number Analytics automatically use labels for ANOVA, Chi-square analysis. It reduced my time and efforts to analyze survey data.
I like Number Analytics because it is super easy to use. You don't need to think what statistical models should be applied. It is automatic. I can save about 80% of my time to analyze data.
I like Number Analytics because it is really comfy for the entry-level users in the Statistics field. Number Analyzer is the best tool that I've ever had to grasp the overall insight before getting into the data analysis part.
I like Number Analytics because it is easy to use! I don't have to code or debug. All I need to do is just click the variable and see the results! Especially, by using Number Analyzer it is much easier to get the overall insight into the data before actually getting into the data analysis part.