Unleash the power of your data by making it accessible and understandable to everyone. Use data mapping to transform complex information into clear, actionable insights. Overlay, analyse and visualise your data to reveal hidden trends, optimise your processes and make informed decisions.
This content on anonymised data is part of our dossier on the Data Catalog.
The democratisation of access to data through data mapping is profoundly transforming the way individuals and organisations understand and exploit information. By visualising complex data sets in the form of interactive, accessible maps, this approach makes information intelligible to a wide range of users, whether experts or not.
Modern data mapping platforms make it possible to superimpose layers of varied information, such as demographic, environmental or economic data, to reveal trends and correlations that are invisible in conventional tables or graphs.
This increased accessibility fosters more informed decision-making, encourages collaboration between different stakeholders and opens up new opportunities for innovation, whether in the public, private or academic sectors. By making data more transparent and understandable, mapping plays a key role in the emergence of a more participative, data-driven society.
Data mapping is an essential tool for organisations wishing to exploit the full potential of their data. By providing a clear representation of data flows and their interconnections, it helps to improve data quality, optimise operational processes, enhance security and ensure regulatory compliance.
It also encourages innovation and facilitates informed decision-making, by providing greater visibility and a deeper understanding of the information resources available.
Gain de temps et de productivité
Better performance management
Improved decision-making
Easier access to data
Improving internal collaboration
Identifying risks
Data mapping is the process of identifying, inventorying and visually representing data flows, sources and interactions within an organisation. It aims to create a clear and structured overview of data ecosystems, highlighting where and how information is collected, stored, processed and shared. This process connects raw data to its specific uses, taking into account its context, origin and dependencies between systems and applications.
By mapping data, organisations can better understand their information assets, detect duplicates or gaps, ensure more rigorous regulatory compliance, and optimise the use of data to support strategic and operational decision-making.
Setting up and using data mapping tools requires a structured approach and appropriate tools to ensure efficiency and accuracy:
The automation of data analysis using tools such as probes is revolutionising the management and exploitation of information by offering real-time collection and analysis capabilities. Deployed in physical or digital environments, probes capture continuous streams of data from various sources, such as networks, machines or IoT sensors. This data is then automatically analysed using advanced algorithms, often incorporating artificial intelligence or machine learning, to detect trends, identify anomalies or generate alerts.
This approach reduces the time needed to transform raw data into actionable insights, improves responsiveness to critical events and enables informed decision-making, while lightening the load on human teams. Probe-based automation is particularly valuable in areas such as cybersecurity, predictive maintenance and infrastructure management, where the speed and accuracy of analysis are essential.
Data mapping deliverables are products that provide a clear, structured representation of the flows, sources and relationships between data within an ecosystem. These deliverables often take the form of :
Among the most common formats are relational maps, which show the interactions between databases and systems, and data flow diagrams, which illustrate the paths taken by data from collection to end use.
These representations can be enriched by digital tools, incorporating interactive functionalities for exploring data layers, identifying dependencies and filtering out relevant information. They serve to align stakeholders around a common vision, facilitate data governance, and meet regulatory requirements by providing a comprehensive view of data movements and the data lifecycle.
MyDataCatalogue is the Phoenix platform module dedicated to cleansing and mapping your data assets.
The MyDataCatalogue module natively integrates data mapping functionalities to improve understanding of data, optimise its use and reduce the risks associated with its management. With MyDataCatalogue, you can identify, understand and visualise your data within a data catalogue, efficiently and collaboratively!
With its Data Catalog and Data Cleaning functions, MyDataCatalogue lets you define data access policies to ensure that only authorised people can view or modify sensitive information.
With regular, automated audits, ensure your compliance with data protection regulations, such as the RGPD, by easily identifying and documenting data sources.
Modifications and accesses to data are traced, facilitating internal and external audits and ensuring complete transparency of data operations.
Data Discovery features automate the extraction and analysis of metadata, enrich data using AI, and offer an intuitive search interface for a 360° view of information assets.
You create a common knowledge base, enriched and accessible to all, to ensure uniformity of the data used throughout the organisation. You base your strategic decisions on controlled information, and reduce the risk of misinterpretation.
At Blueway, we are convinced that freeing yourself from technical constraints is a prerequisite for putting your Information System at the service of business processes and corporate strategy, now and in the future.
That’s why our Phoenix Data Platform unifies BPM, MDM, ESB, API Management and data mapping practices. This approach, focused on your business and human challenges, contributes to the flexibility and scalability of your IT architecture and infrastructure.
The functions of MyDataCatalogue can be combined with the other modules of the Phoenix platform to provide a solution for the entire data cycle, from identification to urbanisation, governance and movement through processes.
Data mapping is the process of creating detailed visualisations of data flows, showing how data flows between different systems, applications and databases. This includes identifying data sources, transformations and destinations.
