Analysis and prevention of Skype problems

Context et problematic

In order to reduce the number of support tickets generated, the digital workspace team wants to be able to quickly identify the main causes of problems encountered by users, and even prevent them.

The client is particularly interested in incidents on the Skype tool, which is used massively by the company’s employees.

Goals

Demonstrate the value of the data collected.
Identify and fix at least one significant source of problems.
Automate the tool.

Our intervention

1 Data Scientist

Defining the data to be extracted with Skype and telephony experts
Pre-processing of the extracted data
Development of the analysis tool based on an interactive Sunburst chart
Automation and provision of the tool

Results

Several problems (infrastructure, third party attack) already solved thanks to the analysis done for the solution
V2 planned soon !

Technical environment

Python (Jupyter, plotly, pandas, dash)
Git/Github

Together with our customers, we build solutions that change and facilitate their daily lives.

Our clients cases

Aide à la création de médicaments

Plateforme d’analyse de besoins clients

Conception et industrialisation du SI analytics

Prédiction de retards

Analyse de visage pour recommandation produits

Application d’optimisation de la Supply Chain

Scoring et analyse
de la peau

Analyse de Forums

Personnalisation de contenu

Analyse des activités de support IT

Détection de tendances sur les réseaux sociaux

Détection
de beaconing

Outil de classification de documents

Détection de cancer via Deep Learning

Conception de plateforme de veille stratégique

Rendements
des champs agricoles

Conception du Data Hub et implémentation

Analyse et prévention des problèmes Skype

Assistant d’aide à la recherche

Classification de pages Web