WE USE THE SPEED OF IMPLEMENTATION OF SEARCH ENGINES, THE FLEXIBILITY OF THEIR MODEL AND PERFORMANCE TO DEVELOP INNOVATIVE SOLUTIONS FOR STRUCTURED AND NON-STRUCTURED DATA ANALYSIS.

THIS APPROACH IS MORE AGILE THAN CONVENTIONAL ONES USED IN DATAWAREHOUSES. IT REDUCES IMPLEMENTATION TIMES FOR PROJECT AND DATA INTEGRATION AND MAKES IT EASIER TO UPGRADE (SPEED ADDITION OF NEW SOURCES).

Factors at stake

Companies currently store large and growing data volumes. Data are often very compartmentalised and under-used.  We develop systems to handle and analyse massive volumes of different data to meet the following challenges:

  • Enhance analyses of structured data with non-structured data
  • Combine data sources and analyse them globally instead of retaining a silo unit vision of each data source
  • Take account of semantic and data usage diversity to standardise and align terminology associated with data
  • Be able to handle, analyse and instantly response to new system data while retaining the ability to analyse them later
  • Put in place flexible and future-proof systems to handle and analyse data masses while minimising the static aspects of models requiring specific developments for each new requirement
  • Be able to predict and recommend based on current data.

Our know-how

Implementation of this type of solution is based on a tailored processing sequence combining capture up to restitution of data. The processing sequence takes accounts of case usage specifics to adapt to the diversity of data to be processed: real-time data (from connected objects, for example), non-structured data (text or images, databases, etc.).

Each step in the processing sequence is supported by specific solutions addressing a specific issue. We can accordingly use multi-specialist know-how to develop a high-performance, optimised processing sequence based on several years of experience in various fields to enhance the processing sequence.

  • Automatic language processing
  • Implementation of solutions based on NoSQL storage
  • Management of terminologies and semantic alignment/enhancement
  • Real-time processing of data and high-performance calculation
  • Implementation of search-engine type solutions
  • Implementation of analysis and reasoning engines based on conventional and machine learning approaches
  • Implementation of reporting and data visualisation tools.

We propose and implement solutions intended to:

  • Minimise project completion and data integration times using solutions where the data model is not static to easily supplement with new data sources or new analysis dimensions
  • Facilitate system upgrades.

Our Partners