Through their flexibility, graph databases open up the field of possibilities for new operational applications. The analysis of connected data but also of the multitudes of relationships between all the elements of the same database provides users with additional keys to understanding and offers them a clear view of the issues and forces involved.
2022 is therefore shaping up to be a pivotal year in terms of the reliability of data processing, both in terms of analytical performance and predictive capabilities, to be able to act quickly, with agility and relevance. Whatever the field, graph databases have a role to play. To better understand their growing importance, here are some of the big issues to watch this year:
Fairer choices in sustainable development approaches
The adequacy and effectiveness of corporate social responsibility policies are increasingly questioned. The recommendations generated by the graphs facilitate the identification of the most effective levers, for example on the carbon footprint, in order to ensure the strategic relevance of the actions carried out over time. They guide decision-making in the short, medium and long term, thus helping companies to organize themselves better on a daily basis and to stay on course with their sustainable development objectives.
Better anticipation for well-being at work
Coming out of the pandemic, well-being at work requires an assertive HR policy, but also a range of technological tools for precise management of the data now usable with HRIS. Graph databases, for example, help to better anticipate burnout by highlighting clusters of warning signs, which makes it possible to prevent a possible aggravation at an earlier stage. They finally bring this additional degree of analysis linking the human even more to his environment.
A change in talent management
The shortage of talent and the growing difficulties in recruiting that companies are facing require a change in the relationship to work. Employees must feel supported in their missions, their working methods must be optimized, in particular through the provision of simple tools allowing them to devote themselves to tasks with greater added value. The graph databases offer a precise representation of the areas for improvement following this approach and bring out all the issues to be dealt with in order to improve the working environment in the long term.
A stronger response to cybercrime
Whether we like it or not, cybercrime is now an integral part of our daily lives, both individually and collectively. A scourge that is increasingly difficult to curb in the face of more numerous attacks (+13% in 2021), of all levels of intensity and increasing sophistication. Graph databases are able to uncover the most complex attacks by processing a very high number of data interconnections, which helps identify patterns associated with fraudulent behavior. They thus bring to the structures of fight against cybercrime an essential sharpness of analysis to better anticipate and act as quickly as possible.
Greater confidence in artificial intelligence
AI has gradually moved into our lives to make many actions or tasks considerably easier and faster. However, it still suffers from a lack of confidence linked, among other things, to the lack of explicability on the choices of AI, doubts about the reliability of the data used or the slow adaptation of actors in the face of the growing demand for more responsible uses. . Graph databases and “graph data science” represent a real trust accelerator for artificial intelligence. They make it possible to highlight the path that allowed the AI to make a choice rather than another and thus to give confidence to the user by choosing the right algorithms. Graph databases provide context that improves the efficiency of AI, as it is easier for a machine, for example, to recognize a cup of coffee in an image if it is placed next to a machine in a coffee maker rather than on a computer scientist’s desk.
Increased efficiency of technologies and working methods
Business activities of all sizes and sectors are closely linked to digital technologies. Here again, graph databases are a major operational asset. With the advent of the cloud, they enable detailed analyzes that reinforce operational agility, flexibility, effective cost management and decision-making. For the supply chain as in risk management, they provide visibility serving both transparency, efficiency, anticipation and the right balance between supply and demand. Applied to working methods, they make it possible, for example, to move from a collaborative “DevOps” logic to a “NoOps” logic, for more efficient and faster decisions. Finally, in the world of crypto-currencies, they make it possible to manage risk more effectively.
Brands closer to their community
The brands have become aware of the importance of ensuring the development of their community and its daily animation. The position of “Chief Community Officer” is increasingly part of the organization charts of companies wishing to ensure the sustainability of their brand and maintain a competitive advantage. Graph databases allow these new executives to have an overview of their communities and to analyze the links that drive them from every angle.
They improve targeted marketing actions but also the development of new products or services, and radically optimize strategic and operational decision-making through better knowledge of the multi-channel data network generated by its communities.
For all these reasons, we can say that graph databases are destined to gain momentum in all sectors where reliability and efficiency are of particular importance. Decision-making will be simpler and safer in a world where agility and speed of action are essential conditions for success!