Introducing Analysis

In today’s dynamic business landscape, organizations need more than just historical data and reactive reporting. They require forward-looking insights, the ability to model future outcomes, and the tools to make proactive, data-driven decisions. Infoveave’s comprehensive analysis module empowers businesses to navigate complexity, mitigate risks, and seize opportunities by unlocking the power of predictive insights.

This suite of interconnected tools, encompassing What-If Analysis, ML Modeller, and SciPyR integration, goes beyond traditional business intelligence, offering a holistic environment for sophisticated data exploration, modelling, and prediction. Infoveave equips you with the agility to adapt to changing conditions and optimize strategies in real-time.

What-If Analysis, is a robust tool designed to empower you to explore various “what if” scenarios and understand the potential impact of key variables on their business outcomes. The module facilitates the definition of “driver” (input) and “dependent” (output) variables, enabling you to instantly evaluate the effects of changes in areas like sales growth, marketing spend, or even granular parameters like dealer margins and taxes on critical metrics such as net profit, market share, and customer acquisition cost. This is particularly valuable for tasks like determining optimal pricing to reach a specific revenue goal. Infoveave’s offering supports integration with Custom File Parser, allowing the module to handle unstructured data.

The ability to expose this analysis as an API allows for large datasets to be evaluated based on criteria and limits as defined in the What If scenarios. Seamless integration with Infoveave’s Automation and workflow framework enhances the ability to deliver results at scale compounding the value-add to your business.

Infoveave’s ML Modeller module democratizes machine learning, making its power accessible to both seasoned data scientists and business users with limited coding experience. The module simplifies the complexities of machine learning by providing a user-friendly interface and a comprehensive suite of pre-built algorithms to build, train, and deploy predictive models. You can connect to various data sources, prepare data using built-in tools for cleaning and transformation, and leverage features like automated data preprocessing, feature selection, and model evaluation metrics to create accurate predictive models. Whether you are forecasting sales, predicting customer churn, or identifying fraudulent transactions, Infoveave’s ML Modeller helps you unlock the predictive power of your data. Its no-code/low-code environment is designed to accelerate decision-making by streamlining model building.

For users requiring custom model development, Infoveave integrates its SciPyR Module. This tool allows you to bring your own Python workbooks or write your own code and algorithms. Additionally, these workbooks can be included into automated Workflows to integrate them into business process flows. These algos could be as simple as data cleansing and manipulation activities or as complex as classifications and predictive outputs.