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At present, we are at the beginning of an era in which data will be crucial. Many companies have already taken steps in recent years, including the implementation of AI and the required algorithms. Does this mean they can already reap the fruits of their data-centric policy? Not quite yet.
The way in which companies process data plays an important role in the optimisation of business processes and activities. The objectives vary and can include anything from making well-considered strategic decisions to discovering new opportunities or working more efficiently. Our data consultants approach data based on their technical expertise, to respond to business needs. They develop analyses and models that can improve business processes and activities tremendously. Together, we create a roadmap in line with the goals that have been set.
1/ Data engineering
These technical profiles are responsible for the collection, structuring and combination of all the data generated within an organisation, to gain access to meaningful information in a comprehensible way.
- Gain insights
- Achieve objectives
2/ Data science and analysis
Our data scientists and analysts use technologies such as R and Python pull the right information from large amounts of data. They build statistic or machine learning models to describe, predict and explain phenomena and draw conclusions that offer added value for your company.
1. Not from scratch
As is the case in so many other areas of expertise, you don’t need to start from scratch with data. We use various architecture models that will put you on the path towards your intended goals. We also have frameworks such as scikit-learn, spark, Databricks, AWS SageMaker, Azure ML Studio, etc, for data analysis and machine learning.
Start with a data project with a comprehensible scope, which responds to a specific business need. It will give you a better idea of how the business works and earn trust which, in turn, facilitates scaling.
Working with the right technical tools will help you successfully launch your project and gain the necessary insights. Depending on the objectives and the available data, this can include low-level technology such as Python or a high-level service such as Azure ML Studio, using an extended data warehouse or a data lake, enabling you to choose whether you want to work locally or in the cloud.
Make sure that you process your data securely.
More and more companies are using cloud technologies to respond to the rapidly changing needs of their customers, the market or their company. This is an important step in the digital transformation of companies. Our cloud engineers stand with you at the helm, offering reliable support within your organisation on your cloud platform, to develop and implement optimisations or cost savings or to develop a new cloud architecture that is aligned with your needs.
From a modern workplace, virtualisation, network and security to open-source engineering. Whether the expertise you need is wide-ranging or in-depth, we always provide highly-skilled consultants who focus on you, the client.
Your IT infrastructure is the backbone of your organisation. Our highly-skilled consultants guarantee the continuity of these systems, whether you hire them to manage your digital workplaces, set up a hybrid cloud environment, deploy a Kubernetes cluster or automate your infrastructure. They are always on hand to help you, with advice that is tailored to your situation.