solution-department

Data Science and Data Analytics Glossary

Data Prep and Analytics

Business Analytics

La Business Analytics (BA), parfois appelée « analytique métier », consiste à analyser des données à l'aide de méthodes statistiques et quantitatives afin de prendre des décisions aptes à améliorer les résultats de l'entreprise

Read More

Business Intelligence

La Business Intelligence (BI), c'est là où mènent collectivement les données, les logiciels, l'infrastructure, les processus métier et l'intuition humaine. Elle permet d'obtenir des informations exploitables, ou insights.

Read More

Data Analytics

La data analytics, ou l'analytique de la donnée, consiste à explorer, transformer et analyser les données afin d'identifier les tendances et les schémas qui révèlent des informations exploitables pertinentes et améliorent l'efficacité, ce qui contribue à optimiser la prise de décision.

Read More

Data Blending

La fusion de données consiste à rassembler des données d'une multitude de sources dans un seul ensemble de données pour effectuer des analyses plus approfondies et plus complexes.

Read More

Data Catalog

How a Data Catalog Helps an Organization Make the Best Use of Data Assets

Read More

Data Cleansing

Data cleansing, also known as data cleaning or scrubbing, identifies and fixes errors, duplicates, and irrelevant data from a raw dataset.

Read More

Data Exploration

Data exploration is a way to get to know data before working with it. Through survey and investigation, large datasets are readied for deeper, more structured analysis.

Read More

Data Lineage

Track where an organization’s data comes from, the journey it takes through the system, and keep business data compliant and accurate.

Read More

Data Preparation

La data preparation consiste à nettoyer et à consolider les données brutes avant de les utiliser pour une analyse de l'activité. Découvrez pourquoi cette étape est cruciale et comment ça fonctionne.

Read More

Data Profiling

Data profiling helps discover, understand, and organize data by identifying its characteristics and assessing its quality.

Read More

Data Wrangling

Data wrangling is the act of transforming, cleansing, and enriching data to make it more applicable, consumable, and useful to make smarter business decisions.

Read More

Descriptive Analytics

Descriptive analytics answers the question “What happened?” by drawing conclusions from large, raw datasets. The findings are then visualized into accessible line graphs, tables, pie and bar charts, and generated narratives.

Read More

ETL

ETL is the process used to copy, combine, and convert data from different sources and formats and load it into a new destination such as a data warehouse or data lake.

Read More

Spatial Analytics

Spatial analysis models problems geographically, allowing a company to analyze the locations, relationships, attributes, and proximities in geospatial data to answer questions and develop insights.

Read More

Data Science and Machine Learning

Advanced Analytics

Advanced analytics uses sophisticated techniques to uncover insights, identify patterns, predict outcomes, and generate recommendations.

Read More

AutoML

Automated machine learning, or AutoML, makes ML accessible to non-experts by enabling them to build, validate, iterate, and explore ML models through an automated experience.

Read More

Data Science

La Data Science est une forme de statistique appliquée qui intègre des éléments de sciences informatiques et de mathématiques pour tirer des enseignements utiles, aussi appelés insights, aussi bien à partir de données quantitatives que de données qualitatives.

Read More

Data Science vs Machine Learning

Data science and machine learning are buzzwords in the technology world. Both enhance AI operations across the business and industry spectrum. But which is best?

Read More

Feature Engineering

With feature engineering, organizations can make sense of their data and turn it into something beneficial.

Read More

Machine Learning

Le machine learning est le processus itératif qu'un ordinateur utilise pour identifier des tendances (patterns) dans un ensemble de données en fonction de contraintes spécifiques.

Read More

MLOps (Machine learning Operations)

Le MLOps est un processus transversal, collaboratif et itératif qui opérationnalise la Data Science en traitant le Machine Learning (ML) et d'autres types de modèles comme des artefacts logiciels réutilisables qui peuvent être déployés et surveillés continuellement via un processus reproductible.

Read More

Predictive Analytics

L'analyse prédictive est un type d'analyse de données qui utilise le machine learning, les algorithmes statistiques et d'autres techniques pour prédire ce qui va se passer dans le futur.

Read More

Prescriptive Analytics

Prescriptive analytics answers the question “What should/can be done?” by using machine learning, graph analysis, simulation, heuristics, and other methods.

Read More

Supervised vs Unsupervised Learning

Supervised and unsupervised learning models work in unique ways to help businesses better engage with their consumers.

Read More

Ready to Empower Impressive Outcomes?

Whatever your skillset, Alteryx brings simple and powerful analytics and data science to everyone and enables results beyond what was imagined.

image