Big Data · Analytics · Machine Learning
Data Platform & Analytics
We design and build cloud-native data platforms to collect, integrate, analyze and get value from company data. From the data lake to business intelligence, from real-time analytics to predictive models with Machine Learning — we turn data into decisions and competitive advantage.
The value is in the data
The data is there. What’s missing is the platform to use it
Most companies generate huge amounts of data — from ERP, CRM, IoT, e-commerce and production systems — but struggle to turn it into useful information. Siloed data, incompatible formats, fragile pipelines, manual Excel reports. Omnys builds modern data platforms that centralize, clean and make company data accessible at every level of the organization: from management, which needs strategic dashboards, to operational teams, which have to make decisions in real time.
- Centralized data lakes that aggregate data from heterogeneous sources (ERP, CRM, IoT, web)
- Automated ETL/ELT pipelines for ingestion, transformation and data quality
- Data warehouses for high-performance SQL analytics on large volumes
- Self-service dashboards and Business Intelligence for every level of the company
- Real-time analytics on IoT, transactional and operational data streams
- Predictive models and Machine Learning built into the data platform
Our Solutions
What we build in the data space
From raw data collection to business-facing visualization, by way of transformation, quality and predictive analysis.
Data Lake
Cloud data lake platforms that centralize all company data — structured and unstructured — in a single governed repository. Ingestion from databases, APIs, files, IoT and real-time streams.
Data warehouse & analytics
Cloud-native data warehouses for high-performance SQL analytics on large data volumes. Dimensional data modeling, complex aggregations and interactive queries for the business.
Business Intelligence
Interactive dashboards and self-service reports for every business stakeholder. From real-time operational metrics to strategic KPIs for management, with drill-down and configurable alerting.
Predictive Analytics & ML
Machine Learning models built into the data platform: demand forecasting, anomaly detection, classification, scoring. From training to production rollout with continuous monitoring.
Real-time & Streaming Analytics
Processing and analysis of real-time data streams: IoT events, transactions, application logs, click-streams. Event-driven architectures for immediate, data-driven decisions.
Data Integration & ETL
Data ingestion and transformation pipelines from heterogeneous sources: ERP, CRM, relational databases, REST APIs, files, IoT streams. Automated orchestration, data quality and monitoring.
Advanced expertise
Big Data analytics and applied research
Our data and Machine Learning expertise does not stop at projects: Omnys invests in applied research and has published scientific papers at international conferences on topics such as fault detection, NLP analysis and deep learning. This allows us to bring state-of-the-art approaches and techniques, validated by the scientific community, into corporate projects.
- AWS ML Specialty — certification of Machine Learning skills on AWS
- Scientific publications — papers presented at IEEE WCCI 2022, IntelliSys 2020, ESANN 2020
- Demand forecasting — predictive models for demand planning and supply chain planning
- Anomaly detection — detecting anomalies in IoT, transactional and process data
- NLP and text analytics — analysis of texts, documents and feedback using Natural Language Processing techniques
WHY CHOOSE OMNYS
Data at the service of the business, not of technology
- AWS Advanced Tier Services Partner with ML Specialty — certified expertise in data lakes, analytics and Machine Learning
- Business-first approach — we start from business objectives, not from technology. Every platform is designed to generate measurable value
- IoT + Data + ML — cross-cutting expertise to build complete platforms, from the sensor to the predictive model
- Applied research — scientific publications and academic expertise applied to corporate projects
- ISO 9001 and 27001 — certified processes for quality and security, essential when working with sensitive data
How We Work
Our approach to the data platform
Every data platform is different. We start from the business context to define the most suitable architecture, not the other way around.
DATA ASSESSMENT
We map existing data sources, flows, quality and gaps. We identify the use cases with the greatest business impact and define the target architecture.
DATA PLATFORM DESIGN
We design the platform architecture: data lake, ETL pipelines, data warehouse, access layer. Cloud services are selected according to volumes, latency and costs.
BUILD & INTEGRATE
We implement the pipelines, the integrations with source systems and the analytics layers. Iterative development with continuous validation of data quality.
DELIVER & EVOLVE
Release of dashboards, reports and predictive models. User training, platform monitoring and continuous evolution with new use cases.
real results
Featured success stories
Developed a software to configure and maintain electric motors
IoT and Smart Home: Developing an IoT solution to manage smart thermostats
Your data is worth more than you think
We analyze your data sources and design the analytics platform best suited to your business objectives.
