Data Management & AI
Get the most out
of your data
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Data management is the foundation of techniques and processes that aim to collect, process and make use of organisations’ data. Efficient data management helps to anticipate risks, reduce delays and improve operational efficiency. Mastering and leveraging your data management environment offers a major competitive advantage, improving business performance and customer experience.
ALTEN, with its cross-disciplinary expertise in data ingestion, transformation, analysis and retrieval, designs customised solutions to meet its customers’ needs. By combining its engineering culture with its understanding of business issues, ALTEN focuses its support on leveraging data to fulfil operational use cases.
Data optimisation: driving transformation
In the last ten years, the volume of data generated or replicated globally has increased thirty-fold. Technological and digital developments have allowed us to process these large volumes reliably and quickly. Artificial intelligence offers many advances to improve data quality, accessibility and security. These contributions are especially salient for the manufacturing and service sectors, where artificial intelligence can apply to many areas such as offer personalisation, fraud detection, chatbots, and automating and optimising production processes.
Migrating to cloud computing environments is also key to much more responsive “real-time” data management.
Data is the common denominator of any digital transformation. The ALTEN Group has the technical expertise and flexibility required to create the best data management solutions and offer end-to-end support, from consulting to project deployment.
Our expertise
Data Integration & Base
Objective: Design, deploy and modernise your data architectures
ALTEN supports its customers in designing and modernising their data environments: ingestion, storage, transformation and migration.
We support you in building the technological foundation to make the most of your data and meet your business needs.
We work to make the data accessible, structuring it so that it can be used more effectively. Our architects and data engineers will help you set up your data pipelines in any cloud computing, big data or on-premise environment.
Reference:
ALTEN helped one of its customers modernise its data platform by migrating its historical application assets to a cloud computing environment. The teams developed pipelines and use cases on Google Cloud Platform.
Data Science & Artificial Intelligence
Objective: Develop advanced algorithms in deep and machine learning and industrialise them to meet your organisation’s business and operational challenges
Our engineers can intervene throughout the data lifecycle, from acquisition to processing and operations.
- Define use cases that incorporate structured and unstructured data and set up the pipeline
- Develop and implement algorithms using machine learning, NLP, and computer vision techniques
- Deploy and maintain models in production with a MLops approach
Reference:
A customer entrusted ALTEN with implementing and industrialising algorithms to improve the prediction of passenger flows in real time. The aim was to improve passengers’ experience of their daily commute.
Data Visualisation & Business Intelligence (BI)
Objective: Monitor your operational indicators
Providing indicators to aid decision-making requires its own set of expertise that allows us to measure the value added from our use of data.
Our expertise in business intelligence & data visualisation aims to provide tools to represent data in a dynamic, clear and concise way. Raw data is transformed into static or dynamic views to help you understand and steer your activities.
The benefits:
- Improve understanding of results to make quick and informed decisions based on reliable feedback
- Democratise the use of data: make it easier to communicate and share data analysis results with non-technical audiences. Expand self-BI within your teams
Our experts work with you to develop dashboards in your chosen technology. Our Data Studio is here to work on the design and ergonomics of your applications (UX/UI).
Reference:
ALTEN helped one of its customers, a large international group, to develop activity management applications. The ALTEN teams created a data factory around Power BI within the Analysis and Performance Management Department.
Data Analysis
Objective: Leverage your data to improve performance and decision support
Data analysis and statistical processing for modelling and forecasting purposes allows us to respond to business and industrial issues. Our data analysts and data managers make sense of your data to improve customer experience, stock forecasting, risk monitoring and regulatory compliance and to measure the impact of your marketing campaigns and offers. We have a full understanding of the business problems companies can face and tackle them with digital technology.
- Analysis and modelling
- Data enrichment to tackle business problems
- Digital transformation: leverage data interpretation and tackle business issues so companies can implement their transformation strategy faster
Reference:
ALTEN assisted one of its customers in anticipating and monitoring future non-quality costs by analysing existing data from domains such as purchasing, quality, and the supply chain. This allowed us to anticipate and reduce non-quality by 20%.
Data Governance
Objective: Control and share your data knowledge
Data governance is an essential part of corporate data management. It ensures the quality, security and relevance of the data used while promoting collaboration and reducing the risks associated with data management.
Our experts can help you implement data governance strategies that encourage data quality and foster a true data culture.
Reference:
ALTEN teams assisted one customer in identifying and validating a single data source for its manufacturing activities. This source is considered official by all stakeholders in the company, which facilitates the exchange and interpretation of results.
