Why implementing a Data Discovery approach is essential for improving data mapping?
This content on the Data Discovery approach is part of our dossier on the Data Catalog.
Data mapping is the process of visualising and graphically representing the relationships, structures and attributes of data. It creates a clear and understandable visual representation of data, making it easier to explore, analyse and interpret. It is a key tool in data governance, and meets major digital security challenges.
With a view to combating this phenomenon, the European Union (EU) has legislated to establish a reliable and secure digital environment within its territory. As a result, teams responsible for securing information systems and/or protecting personal data are under increasing pressure to comply with complex regulations (NIS 1-2 ‘Network and Information Security’ Directive, RGPD ‘General Data Protection Regulation’, etc.).
Cyber-attacks are a global phenomenon.
Every year, the number of computer attacks against companies, local authorities and hospitals continues to rise. Victims of hacking generally experience an intrusion into their information system, a malfunction or a theft of data.
According to a study by cybersecurity firm SurfShark for the last quarter of 2022, France ranks first in terms of the density of data leaks. On average, there are 212 leaked accounts per 1,000 people in France.
Similarly, making the most of data has become a new structural challenge for every organisation. Data has become a fundamental element, but managing its lifecycle remains complex. But because of a lack of knowledge, making the most of it can be a bit like searching for the Holy Grail. Indeed, teams dedicated to data enhancement or innovation spend a great deal of their time looking for and finding the right information.
Data discovery simplifies data navigation and makes it more accessible to all users. The knowledge and enhancement of data assets are increasingly important issues for IT Directors and CISOs. They are reinforced by a number of factors, such as the RGPD, cybersecurity, digital sobriety and the desire to make a data portal available.
Save time and increase productivity
Identifying risks
Improved decision-making
Easier access to data
Improving internal collaboration
Until now, data cataloguing methodologies have generally been based on manual processes. And given the human resources required, organisations are finding it extremely difficult to keep their data cataloguing up to date, due to the growing complexity of regulations, technologies and the formats of disparate data sources.
When implementing a data repository, the difficulty encountered is not a technical/IT problem, but rather one of collaboration and the realignment of data between business lines and governance.
Depending on the business, a third party may be called a customer, a user, a supplier, an employee, a shop, etc. So, once the repository solution has been defined and chosen, how do you find and locate the applications and data sources that deal with Third Parties and that need to be connected to the service? There are 2 solutions to this problem:
Understand the processes associated with data (whether personal or not, sensitive or simply business data). Most organisations will start with semi-automatic methods to establish this mapping and will improve it using collaborative services and also automated data discovery.
Data discovery tools such as MyDataCatalogue now enable teams responsible for securing, enhancing or protecting data to gain a better understanding of the data available, by providing context and automatically conceptualising it. The recovery of context, such as the origin of data sources, enables an initial automatic classification to be carried out quickly, by associating a level of sensitivity/criticism with the applications used, the users who created the data and the storage location.
Choose our MyDataCatalogue module to secure your data!
Controls, checks, alerts, traceability of actions and flows...
Input assistance, automation, enrichment, perspective, correlation...
Always up-to-date lists, flexibility, flow modifications...
Two-way connectivity, integration into the extended enterprise
Data output in the desired formats (Excel, PDF, Word, etc.)
Real-time alerts, probes on critical procedures, KPIs, simulation of scenarios when dealing with an alert
Within our Phoenix platform, Data Discovery is natively integrated with our MyDataCatalogue tool to map all your data.
This module ensures the interoperability of data and the ability of business units to access all useful data in real time. As Data Catalog users and the main recipients of data, business departments are freed from technical constraints so that they can concentrate on their own activities.
