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Data Science and Data Analytics Glossary

Data Prep and Analytics

Business Analytics

Business analytics é o processo que analisa dados utilizando métodos estatísticos e quantitativos para a tomada de decisões, gerando melhores resultados de negócios.

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Business Intelligence

Business intelligence é o resultado cumulativo dos dados, software, infraestrutura, processos de negócios e intuição humana de uma organização que fornece insights acionáveis.

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Combinação de dados

Data blending ou combinação de dados, é o ato de reunir informações de uma ampla variedade de fontes em um conjunto de dados útil para análises mais detalhadas e complexas.

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Data Analytics

Analytics é o processo de explorar, transformar e analisar dados para identificar insights e eficiências significativas que dão suporte à tomada de decisões.

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Data Catalog

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

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Data Cleansing

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

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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.

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Data Lineage

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

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Data Preparation

O preparo de dados é o ato de limpar e consolidar dados brutos antes de usá-los para análise de negócios. Saiba por que é essencial e como funciona.

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Data Profiling

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

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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.

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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.

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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.

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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.

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Data Science and Machine Learning

Advanced Analytics

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

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Análise preditiva

A análise preditiva é um tipo de análise que utiliza machine learning, algoritmos estatísticos e outras técnicas para prever o que acontecerá no futuro.

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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.

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Data Science

A data science é uma forma de estatística aplicada que incorpora elementos de ciências da computação e matemática para extrair insights de dados quantitativos e qualitativos.

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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?

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Feature Engineering

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

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Machine Learning

Machine Learning (também conhecido como ML ou aprendizado de máquina) é o processo iterativo que um computador utiliza para identificar padrões em um conjunto de dados com restrições específicas.

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Operações de machine learning (MLOps)

As MLOps são um processo interfuncional, colaborativo e iterativo que operacionaliza a ciência de dados, gerenciando o machine learning (ML) e outros tipos de modelos para serem artefatos de software reutilizáveis que podem ser implantados e monitorados continuamente por meio de um processo repetível.

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Prescriptive Analytics

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

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Supervised vs Unsupervised Learning

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

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