Data

Build a reliable, governed and usable data base for management and anticipation

In a context of agility and digitalization, the competitiveness of companies is governed by rapid decision-making, based on reliable information, to meet market expectations (Time To Market).

The challenge is no longer simply to store or collect information, but to structure it, understand it and transform it into value thanks to Data technologies and Artificial Intelligence.

ACENSI supports its customers throughout the entire data management chain, from data ingestion to advanced AI exploitation, in order to support performance, anticipation and decision-making.

Our consultants cover the entire data lifecycle:

04.

01.

Collection, integration and ingestion

04.

02.

Quality, governance and safety

04.

03.

Modeling and storage

04.

Analysis, visualization and exploration

04.

05.

AI, machine learning and intelligent automation

04.

Analysis, visualization and exploration

04.

05.

AI, machine learning and intelligent automation

This global vision gives meaning to data, improves its reliability and generates high value-added insights.

Help in choosing Data and AI solutions.
Definition of Data architectures (DataLake, DataWarehouse, Lakehouse).
Functional and technical scoping.
Data / AI maturity assessment and roadmap.
Administration of Data platforms (ETL, Reporting, Big Data).

Building and upgrading Data platforms
Ingesting and processing large volumes of data
Migration, modernization and optimization of Data environments
Data quality, consistency and reliability ( MDM , DATA GOUVERNANCE )
Automation and continuous integration chains (DataOps)
Technical expertise :Hadoop, Cloudera Data Platform, Python ,Spark , PySpark, ELK , MapR, HBase, MongoDB, Cassandra, ELK...

Data structuring and reliability
Analytical modeling
Dashboards, reporting, interactive dashboards
Descriptive, exploratory and advanced analysis
Technical expertise Power BI, Tableau, Qlik, SAP BI, MicroStrategy, SAS, ETL (Informatica, Datastage, Talend...)

Development of predictive and prescriptive models
Machine Learning / Deep Learning ( ML , DP )
Natural language processing (NLP, NLU)
Chatbots, intelligent automation
Content generator (GenAI)
Anomaly detection, segmentation, scoring
Technical expertise Python, R, Scala, Data Science notebooks, ML/DL frameworks, AI pipelines...