Target users | Business users, scientists and engineers | Data scientists and data engineers |
Applications | Exploration, research and data discovery, business decision support | Programmatic automation and industrialization |
Deployment | ||
Cloud – public and private | ||
Local/user laptop | ||
Server or HPC | ||
Data Input | ||
Data Input Format | Excel, CSV, TXT | |
Minimum Data Requirements | 30 rows | |
Maximum File Size For Uploads | 40 MB | |
Data diagnostics | ||
Input Data Visualization | Histogram and Box Plots | |
Missing Data Resolution | Automatic | |
Scaling | Automatic | |
Balancing | Automatic | |
Modeling Settings and Processing | ||
KPI data type supported | Regression, Classification | |
Modeling Problems | Self-adjusting algorithm applied automatically | |
Algorithm Selection | ||
Outlier detection and elimination | ||
Set modeling iterations | ||
Extrapolation | ||
Auto Data Compression | ||
Output | ||
Linear Correlations | ||
Non-linear relationships | ||
Set correlation strength threshold for visualization of relationships | ||
What-if scenarios | ||
Individual Run Inspection | ||
Model validation | ||
Model export | C/C++, Excel, Matlab, Python or R | |
DataStory export | PowerPoint or Matlab Toolbox | |
Generate reports | ||
Story Sharing | ||
Integration | ||
Deployment | ||
Operationalization |
Target users | Business users, scientists and engineers | Data scientists and data engineers |
Applications | Exploration, research and data discovery, business decision support | Programmatic automation and industrialization |
Deployment | ||
Cloud – public and private | ||
Local/user laptop | ||
Server or HPC | ||
Data Input | ||
Data Input Format | Excel, CSV, TXT | |
Minimum Data Requirements | 30 rows | |
Maximum File Size For Uploads | 40 MB | |
Data diagnostics | ||
Input Data Visualization | Histogram and Box Plots | |
Missing Data Resolution | Automatic | |
Scaling | Automatic | |
Balancing | Automatic | |
Modeling Settings and Processing | ||
KPI data type supported | Regression, Classification | |
Modeling Problems | Self-adjusting algorithm applied automatically | |
Algorithm Selection | ||
Outlier detection and elimination | ||
Set modeling iterations | ||
Extrapolation | ||
Auto Data Compression | ||
Output | ||
Linear Correlations | ||
Non-linear relationships | ||
Set correlation strength threshold for visualization of relationships | ||
What-if scenarios | ||
Individual Run Inspection | ||
Model validation | ||
Model export | C/C++, Excel, Matlab, Python or R | |
DataStory export | PowerPoint or Matlab Toolbox | |
Generate reports | ||
Story Sharing | ||
Integration | ||
Deployment | ||
Operationalization |