Analyze, Understand, and Predict
Dive into advanced analytics capabilities for deeper insights
- Collaborate and analyze your data in real-time
- Rapidly Build & Train ML Models
- Analyze scenarios and make informed decisions
Analyze your way to success
Explore patterns, predict outcomes, & perform impactful analyses for your business. Achieve efficiency & drive data-driven decisions.
What-if Analysis
What-if analysis, is a powerful decision-making technique that helps businesses understand the financial implications of changing one or more related factors.
AutoML
Use AutoML to gain deeper insights from your data. Make predictions using regression, classifications, & time series analysis without the need for complex coding.
SciPyR
Elevate your analytics capabilities with our SciPyR Workbench, empowering you to leverage the flexibility of Python & R. Access advanced analytics tools and libraries,
Forsee your business
Infoveave® offers “What-If Analysis”, the powerful tool for data-driven decision making. Combined with Infoveave’s powerful data analytics and visualization capabilities, you can easily understand different scenarios and make informed choices that drive your business forward. Don’t miss out on the benefits of Infoveave® – try it today and see the difference it can make for your organization.
Define Scenario
Understand & define the scenario. Identify, collect & prepare relevant data sources & other contributing factors.
01Devise Scenario
Formulate different scenario cases that will be considered in the analysis using the Infoveave® what-if analysis tool.
02Evaluate Impacts
Assess the impact of changing variables or assumptions through analytical or statistical techniques.
03Forecast Trends
Forecast trends by determining the most desirable scenario outcome and make decisions based on the findings.
04ML & data science
With Infoveave® design, deploy and manage high-quality models rapidly with a 100 % confidence. Reduce time-to-value by utilizing the leading machine learning operations (MLOps ) with open-source compatibility and integrated tools.
Build & train models
Enhance capabilities of modern analytics & digital transformation with continuous data.
Data Science Libraries
Access libraries such as NumPy, Pandas, SciPy, Scikit-learn, TensorFlow, and PyTorch with SciPyR
Analytics with SciPyR
Advanced data analysis and modeling with Jupyter notebook integrated in the platform.
Operationalize at Scale
Deploy ML models with a single click, effectively manage and control them with MLOps.