Agile Analytics

Organise data so it creates better value

Make informed strategic decisions based on data lake and analytics solutions.

Data Management or how to build and maintain your data assets

Data Management is the foundation of any information system. We guide you through every stage of the process from:

  • data ingestion from various systems,
  • its transformation using simple or complex business rules,
  • its storage in different forms (SQL or NoSQL),
  • its eventual enrichment using Artificial Intelligence,
  • and finally its visualisation within dashboards and reports.

Business Intelligence

Business Intelligence aims to improve your understanding of your organisation’s performance through your data. A Data Lake is often needed as the base for your BI to gather data from various source systems and mesh them together to get a 360° view. Easily scalable, this modern data warehouse gives you an insight into your data through analytical dashboards, operational reports and advanced analytics that can be utilised by all your users.

Advanced Analytics

Advanced analytics is the autonomous or semi-autonomous examination of data or content using sophisticated techniques and tools (typically beyond those of traditional business intelligence (BI)) to gain deeper insights, make predictions and generate recommendations.

Techniques associated with Advanced Analytics often include data/text mining, machine learning, model comparison, forecasting, visualisation, semantic analysis, sentiment analysis, network and cluster analysis, multivariate statistics, graph analysis, simulation, complex event processing and neural networks.

Our partners

Microsoft’s data platform services are accurate and powerful tools that gives you the possibility to work with a flexible data platform and accelerates application creation and roll out.

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Boomi has been the market leader in iPaaS for the past few years and is a native, unified and intelligent cloud platform allowing companies the power to leverage their data.

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Cloudera allows businesses and organisations to manage and leverage any type data, whatever the need, from real-time streaming data analysis to artificial intelligence application roll out.

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Tableau helps users visualise and understand their data. With their visual analytics platform, Tableau makes it possible to use data to solve problems.

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FAQ: Driving Performance with Agile Analytics

  • / How does Agile Analytics reduce the delivery time for BI reports?

    The main pain point in traditional BI is the “tunnel effect”. The Agile Analytics approach is based on short cycles (sprints) and close collaboration between IT and business teams. By delivering functional, iterative dashboards every 2 to 3 weeks, you can adjust KPIs in real-time and achieve immediate business value, rather than waiting months for a project to finish.

  • / How can we break down data silos for cross-functional analysis?

    Data fragmentation across CRM, ERP, and spreadsheets is a major obstacle. An Agile Analytics strategy uses modern architectures (Data Lakehouse, Cloud Data Warehouse) and seamless integration tools. The goal is to create a “single source of truth” that allows data from all departments to be cross-referenced for a comprehensive view of business performance.

  • / Why should I prioritise "Self-Service BI" for my employees?

    Depending on the IT department for every new report creates bottlenecks. Self-Service BI (using tools like Power BI or Tableau) gives autonomy back to business users. By implementing clear data governance, your teams can explore data and create their own analyses securely, fostering a truly “Data-Driven” culture.

  • / Is my current infrastructure compatible with modern analytics?

    One of the key advantages of Agile Analytics is its ability to adapt to hybrid environments (Cloud and On-premise). A technology stack audit identifies optimisation levers (Cloud Migration, Data foundation modernisation) to transform your existing infrastructure into a high-performance, scalable, and secure analytical platform.

  • / How can I access Agile Analytics expertise in Paris, Lyon, Rennes, Lille, or Brest?

    The success of a Data project depends on deep immersion in your business processes. Coexya deploys expert consultants from our offices in Paris, Lyon, Rennes, Lille, and Brest. This local presence allows us to hold co-design workshops and training sessions directly at your premises, ensuring rapid tool adoption and optimal responsiveness for the evolution of your analytical solutions.