Supporting organisations and companies in the operational rollout and implementation of their marketing, digital and data transformation strategy.
Improving the user experience, customer knowledge, and coordination of omnichannel marketing.
By using innovative mathematical methods and by carrying out modeling through Machine Learning, our Data Scientists know how to make the most of your data in order to respond to your problems (potential, predictive analyses, etc.).
As an historical player in Data Science, we master a wide variety of advanced tools and techniques in AI : Machine Learning, Deep Learning, NLP, Computer Vision,…
Our team of Data Scientist, Data Scientist PhD, Data Engineer, expert for a majority coming from large firms or start up and who experienced different field, will support you in your projects and work to identify trends, patterns, connections and correlations in the large sets of your data :
All of our Data Science projects are made directly with the implication of the end-users of the “product”.
Data Science techniques are used in Data Marketing in order to go further into the constitution, the improvement and the exploitation of customer’s data.
Segmentation, profiling, augmented personae by AI
Your customers are looking for a unique experience in each interaction with your brand. You must better understand their needs and learn how to meet them. That induces a regular adaptation and most importantly differentiation from your competitors.
Predictive & descriptive analytics
Whether you have descriptive, behavioural or emotional data, it became possible to identify and to model the variables allowing performance optimization.
Advanced recommendation, substitution, optimization systems
There is a need to bring out new querying approaches in search engines
and equip recommender systems with learning techniques and advanced AI.
Textual and vocal analytics
Text analysis (NLP) has become much more than a simple method of automatic text processing. By identifying whether a positive or negative attitude is associated with a product, brand or service, it is possible to target the subject matter and improve it accordingly.
Optimization of sales and marketing performance
With AI, it is possible to combine speed and quality to optimize decision-making by adapting the valuation and monitoring of the performance of its sales and marketing strategy.
A team of Data Analysts able to support you in identifying use cases, developing indicators, producing analyses, recommendations and reports.
We carry out end-to-end projects with our BI solution experts and our specific development skills to offer a valued experience to the different dashboard users, depending on the use of each. We support you from the selection of profitable Data Analytics projects to their industrialization.
Starting with use cases designed with the different profiles of users and data consumers, we are able to intervene from the design of the database to the development of reports.
Our approach unfolds around 4 main steps:
Combining the most advanced approaches of Data Science, our solution automatically detects and analyzes the rules in real time, regardless of the data, and offers a fix and therefore an optimized user experience.
Equipped with an automated data quality solution, users benefit from a reliable diagnosis of the level of data quality and reports on demand. Thus, the data can be quality controlled before the analyzes are biased.
An adaptable, intelligent, and user friendly solution:
Ready for use or tailor-made training systems adapted to your context, delivered face-to-face or remotely around market-leading solutions: Python, R, Power BI, Dataiku, Knime
Support in the framing, definition and deployment of the systems necessary to regulate the practices of collection, storage and use of data within your organization.
Keep control over your data !
Data governance has become a prerequisite in today’s ever-changing and highly competitive environment. Now that organizations have the ability to capture massive amounts of diverse internal and external data, they need a framework to maximize their value, manage risk, and reduce costs.
We support you in all your projects in order to meet the challenges of data governance:
Make your projects thrive by capitalizing on your data !
Becoming a Data Driven organization means putting data at the heart of its strategy, systems and processes. This paradigm shift requires the deployment of a 5-step plan, sponsored by top management and with a strong commitment from each employee within the company.
We have developed a pragmatic approach to support you in the launch or relaunch of your “Data Driven” transformation plan around 5 key steps:
However, this major program does not prevent you from implementing a pragmatic plan and moving forward at your own pace and according to your means and needs.
Deploy a flexible and agile data architecture !
Our approach is based on business use cases that allow Data projects to be aligned with what is just necessary, while being in line with the real needs of users. That is to say the provision of the functionalities required for the valorisation of the data while gradually deploying a flexible and agile Data architecture.
A project methodology based on business use cases to identify and align data projects:
Through this offer, we support our customers who wish to provide their employees with the means necessary for the optimal use of data.
Our mission is to support you in developing the skills of Data experts and empowering end users, in order to sustain and enhance the use of your data and increase your performance.
The main issues sought:
All this with the aim of:
We provide you with a hybrid project team made up of transformation coaches and experienced data experts who have already supported many Data companies in increasing the skills of their resources.
Design and support in the deployment of transformation plans, definition of new organizational approaches, identification of skills to be developed or integrated.
We work hand in hand with all stakeholders so that business teams make informed decisions by making full use of the data available.
Our team of experts supports you throughout your project to set up a data culture within your organization:
In addition to support in the design and implementation phases of your projects, our consultants can intervene in the run phases (test & learn, PoC, scaling).
Our team supports you in all of your data management projects. From framing to the deployment of devices: from the implementation of platforms to the industrialization of Data Science projects.
New methods inspired by Agility make it possible to establish or renew dialogue between Departments that most often work separately. Effective in the short term, these methods, however involve organizational and cultural upheavals: the Business and IT profiles will have to collaborate and iterate together within groups of employees chosen for their motivation and their support for the various issues. Take inspiration from or apply DataOps or MLOps methods:
An integrated skills center to support you in your Data projects (Product Owner, Data Engineer, Data Scientist, UX Designer) from framing to production.
Each of the teams that we make available to our clients are adapted to their contexts and their needs, in their size and profile. Quickly autonomous, our teams become an extension of yours. The increase in load is adapted to the different phases of the projects. Novencia favors exchange and anticipation with its customers to best respond to the specificities and reality of the projects.
It is possible to integrate and improve the skills of internal resources, whether in the initiation, prototyping, industrialization or run phases, until a complete possible resumption of activity.
A methodology at the service of your development ! We strive to obtain tangible results for each data and AI project, by deploying an agile method in a spirit of continuous improvement. We adapt to the project methodology of our clients, but we recommend an approach based on 9 steps:
Definition – Ideation – Testing – MVP – Adaptation – Live product – Operational product – Scalability – Optimization
To carry out our Data projects, we promote communication and collaboration between different teams in order to accelerate the deployment of projects.
Novencia places R&D at the heart of its Data strategy. Through our Data Lab, our Data Scientists reflect on and design the most advanced AI solutions in line with market issues.
We define and manage a multi-annual roadmap in order to carry a long-term vision. Led by our doctors and in collaboration with our best experts in data science, we launch several innovative AI projects each year such as :
Beyond the AI innovation projects, we are also leading initiatives with the Technology team of Novencia. We test and explore together the latest Data technologies, as well as the latest project methodologies in order to provide additional added value and optimize the progress of projects for our clients: