Data Engineering

Design and industrialization of On-Premises or Cloud-based data platforms, which allows to collect, organize, and use data.

Features of a Data Plateform

  • Data collection through our customers
  • Cleaning, enrichment, and enhancement of data
  • Data provision to all users
  • Analyze and interpret data

Focus Areas

  • Architecture of the solution
  • Setting up the environment
  • Development and industrialization of ingestion pipelines
  • Implementation of the ETL
  • API development
  • Production and industrialization of Data Science models
All our expertise

Our methods of intervention

CONSULTING

We support Data Labs, Innovation, Marketing or Strategic Departments on their projects, through a very high added value, not to mention, along with the support of our employees.

Delivery

We associate our customer with a LittleBigCode team, iterating in AGILE/DevOps to deliver turnkey applications on our infrastructures but also those concerning our customers.

Solution

We develop our own solutions to offer our customers a catalog: Data/IA as a Service and therefore validate a concept to reduce the Time to Market.

Our methodology

We associate our customers with our teams in an AGILE mode, to quickly pinpoint high-impact areas and deliver effective solution, in a very short span of time. The latter can be easily deployed on a large scale.

LITTLEBIGSTART

  • Audit around the project
  • Workshops to validate the need, define the MVP, planning, and budget

    • MVP TARGETING

    • MVP Squad
    • End-User Focus
    • IS architecture and interaction

    Building

    • AGILE Interaction
    • Continious integration
    • DevSecOps
    • Deployment

    Transfering

    • Feedback
    • User training
    • IT team training
    • Support

    Our solutions

    The development of our solutions allows us to suggest a complementary offer to our customers and to stand out compared to our colleagues such as a Data/IA as a service catalog.

    Sentiments analysis

    Text and image analysis, in order to determine and understand the author's feelings on an issue.

    Pricing & dynamic marketing

    Analysis of consumers to suggest intelligent marketing services which contain customized products/services at adapted prices.

    Detection of fraud

    Analysis of identity documents (ID card, passport, visa, etc.) to check the authenticity of the document and identity its bearer, in order to detect and fight against identity theft.

    Data enrichment through Open Data

    To improve the performance of our Data applications, we have developed solutions for data enrichment by scrapping Open Data (OpenStreetMap, local government Open Data, weather data, etc.)

    Social network trend detection

    Identification of essential emerging themes and information on social networks, to be one step ahead of market trends.

    Automatic email processing

    To simplify and speed-up the processing of professional emails, our solution analyzes, classifies, and suggest a response, to each new email according to the user's profile and the history of responses.