Case Studies

Real cases of AI applied to business

ia-rag-industry  ia-rag-industry

Technical information in seconds

Reduced time to understand products and search for technical documentation.

Results:
↑ +65% acceleration in engineering
↓ -70% time reduction.

predictive maintenance in production

Predictive maintenance

Fault detection in industrial equipment to reduce unplanned downtime and maintenance costs.

Results:
90% success rate in predicting
device failures.

demand forecasting

Demand forecasting

Demand, revenue and resource forecasting to optimize inventory, production and business planning.

Results:
↑ +30% forecast accuracy.
↑ +35% inventory optimization

computer vision (2)

Computer vision

Automation of quality control, defect detection and process traceability through computer vision.

Results:
↑ +40% product quality.
↓ -50% errors and reprocesses

Document management and data analysis system for multinational insurance company

Data control and traceability

Centralized governance model in Databricks with Unity Catalog to control access, permissions and data usage at scale.

Results:
↓ -45% incidences of access and permissions
↑ Traceability and data quality
.

Healthcare professional using a hospital dashboard for real-time clinical data analysis and operational management

Centralization of clinical data

Integration of hospital information to accelerate access to clinical data and improve care analysis.

Results:
↑ +60% faster access to information
↑ Unified view of patients and operations.

success-case-government-databricks

Confidence in data

A modern data architecture automates information ingestion, transformation and validation.

Results:
↑ more reliable data.
↓ -95% errors in the data.

Power BI Analytics Dashboard on an office screen to visualize activity, reports, users and datasets in a governed BI environment.

Power BI Governance

Scaling of a corporate Power BI environment with a common, centralized governance model.

Results:
↑ +60% management acceleration.
↑ confidence in the data

Lakehouse Architecture with Medallion Model

Lakehouse Architecture with Medallion

Implementation of Lakehouse architecture on Azure and Databricks.

Results:
↓ -65% processing time
↑ +40% information quality.

reduction of production stoppages

ETL Automation

Data centralization, ETL automation and real-time analytics using Azure Data Factory, Synapse and Power BI.

Results:
↓ -90% data error reduction
↑ analytical agility.

Analytical infrastructure and real-time data monitoring for nuclear power plant with operational dashboards and enterprise data integration environment.

Unified analytical infrastructure

Integration and consolidation of operational, technical and regulatory data in a scalable analytical environment.

Results:
↑ +58% speed operational information.
↑ Incident visibility

case-study-success-migration-databricks

Databricks Premium Migration

Modernization of the analytical platform using Databricks Premium and Unity Catalog.

Results:
↑ +65% capacity for new analytical developments.
↓ -40% incidences

Railway control center with analytical dashboards and real-time operational data visualization for transportation management and railway operations.

Analytical self-service for railway operation

Centralization of operational data in a self-service BI environment to accelerate analysis.

Results:
↑ +52% analysis speed
↓ -45% data collection time

Tablet with hotel dashboard for occupancy, revenue and operational performance analysis at an international hotel chain

360º Vision Hotel Data Intelligence

Centralization of operational, commercial and financial KPIs in self-service dashboards.

Results:
> 100 hours freed up
↓ -85% manual reporting time.

Analysis of KPIs and commercial dashboards in a multinational retail environment to optimize sales, inventory, and store performance.

Operational reporting migration

Modernization of critical maintenance reports and costs, maintaining operational continuity.

Results:
↑ +55% agility in operational analysis.
↓ -45% effort in information reconciliation.

case-study-success-migration-databricks

Unified corporate reporting

Definition of common KPIs and centralization of reporting so that all areas work with the same version of the business.

Results:
↓ -70% reporting time
↑ 100% alignment between KPIs

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