Data Analysis & Data Visualisation

Data Analysis Consulting

As a data consulting and expertise firm, we help business departments define, collect, clean and analyze data through dashboards to help them guide the management of their activity.

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Data analysis to guide decision-making

Data analysis has become an essential pillar for managing business activities, as it enables the extraction of accurate and reliable information from raw data generated daily.

By analyzing this data through relevant dashboards, business managers can better analyze business performance, anticipate future trends, and make more informed decisions.

As a data consulting and expertise firm, we help companies extract, store, leverage, and analyze data throughout the data lifecycle.

How do we successfully ensure your data analysis project?

Our experience in data analysis and data visualization allows us to successfully carry out your data enhancement process using a proven methodology.

Data Audit and Consulting

We support you in your projects to define data needs, audit and benchmark data tools, create management indicators and identify data sources.

Data Management

We support you in the integration of your data project through data management: collection, storage, data quality, transformation and enrichment.

Data Visualisation

We help you design, develop and optimize dashboards aligned with your business objectives, thanks to our mastery of data visualization tools on the market (Power BI, etc.).

Steering and Data Analysis

Our Data Analysts support you in statistical and predictive data analysis to help you generate insights relevant to your business.

Your IT service needs have evolved, and we know it.

We have a pool of expert profiles capable of meeting your specific needs on your data projects: Data Analyst, Data Consultant, Data Engineer, Data Scientist, Data Architect.

We are a data consulting and expertise firm specializing in infrastructure projects for 12 years and working with major IT departments on structuring projects.

We have experts dedicated to data projects who integrate the latest innovations in data analysis and data architecture to offer you tailor-made solutions to your problems.

We offer end-to-end support including consulting, auditing, deployment, data management, data analysis and team training.

Our team is comprised of specialized data consultants. We are a Microsoft partner and hold certifications for major solutions on the market.

Deploy your Copilot AI project with peace of mind

If you’re interested in expanding Copilot AI with Modern Workplace expert profiles, or if you have any questions, please contact us. We look forward to working with you.

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Frequently Asked Questions

Why invest in data analytics?

Data analytics enables businesses to transform raw information into actionable insights, improving decision-making and operational efficiency. It supports innovation, optimizes business processes, and provides a competitive advantage by identifying hidden trends and opportunities.

What are the key tools for data analysis?

Popular tools include BI platforms like Power BI and Tableau for visualization, big data solutions like Hadoop and Spark for processing massive volumes, and predictive analytics tools like Python (with Pandas, Scikit-learn) or R. Modern databases (Snowflake, BigQuery) are also essential.

How to guarantee the quality of the analyzed data?

Data quality depends on rigorous data collection, cleaning, and validation processes. Use data governance tools (Collibra, Alation) to ensure data reliability. Implement automated quality checks and train teams on good data management practices.

What are the challenges of data analysis for CIOs?

Challenges include integrating disparate data sources, managing growing volumes of data (big data), and securing sensitive information. CIOs must also ensure that insights are accessible to business lines while complying with regulations (GDPR, CCPA).

How to measure the ROI of a data analysis project?

ROI is measured by the impact on strategic decisions, improved operational efficiency, and cost reductions through accurate insights. Use metrics like time saved in processes, increased revenue, or reduced risk to assess the value generated.