AI Projects: Solutions for Data-Driven Growth

Unlock Predictive and Prescriptive Insights with Odoo and Advanced Data Science Solutions

Contact us

The Data Value Chain: Structuring AI Projects

Achieving results with Machine Learning requires a multi-phase approach:

  • Data Acquisition – Capture and centralize key data points.
  • Data Manipulation – Organize and refine data for analysis.
  • Data Exchange – Enable smooth data flow across systems.
  • Data Exploitation – Derive insights to inform your strategy.


Odoo as Your Foundation

By implementing Odoo, you gather essential data for business insights. However, to fully harness this data, it’s critical to overcome the platform’s limitations in cross-referencing, KPI tracking, and comprehensive data analysis.



Smart Analytics: your BI Infrastructure

Smart Analytics extracts Odoo data, storing it in a dedicated data warehouse for powerful manipulation, cross-referencing, and deep analysis without straining ERP performance. With top-tier storage and visualization capabilities, Smart Analytics empowers your business to conduct descriptive analysis, setting the stage for AI-driven insights.



Levels of BI Analysis

Our BI solutions progress through 4 levels of analysis:

  • pre-descriptive
  • descriptive
  • predictive
  • prescriptive


Advanced Predictive & Prescriptive Analytics

Smart Analytics extends beyond descriptive analysis, enabling Python-based manipulation within the data warehouse. Our experts can design, build, and train custom AI models to generate predictive and prescriptive insights, accessible through Odoo and Smart Analytics.


Data Quality: The Key to Reliable Insights

High-quality data is essential to all analysis levels. Our Smart Governance tool strengthens data integrity, ensuring valuable insights. It enables data policy tracking, flags inconsistencies, alerts Data Stewards, and monitors data integrity, validity, and retention metrics.


Data Science Applications for SMEs

AI solutions are not exclusive to large corporations. As part of our mission to drive digital transformation, we help SMEs enhance productivity and efficiency with AI. Examples include:


  • Skill Classification – Automated CV sorting and job matching.
  • Image Recognition – Enhanced categorization and tagging.
  • Effort Estimation – Predictive task effort forecasting.
  • Event Theme Generation – Automated content suggestions based on user interests.


Data Science Division: Our Mission

The Mission Statement of the Data Science division at Idealis Solution is to help businesses to extract as much value out of their data as possible. It fits quite well within the department's mission to increase ou clients' productivity as the value extracted from the data can then be used to make better strategic decisions.

Submit