Improving customer value estimation by predicting conversion — Allan Dieguez (Creditas) @PAPIs Connect — São Paulo 2017

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The objective of this presentation is to describe the challenges of modeling a customer conversion predictor using real leads data observed on different levels of the conversion funnel. This predictor is useful for segmenting customers by estimated effort of conversion, which allows intelligence-based decision making for many areas of the company, such as marketing, customer success and credit analysis. The discussion will include the solution sketching process, as well as the data extraction, feature engineering and model evaluation. It’ll also be covered some challenges of using such models as a support system for the operations analysts, as well as collecting their feedback to improve the solution.

© 2017 – Creditas Soluções Financeira Ltda. 1© 2017 – Creditas Consultoria Financeira Ltda.
Allan Dieguez
Data Scientist @ Creditas

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ATIVIDADE 1 - LOGÍSTICA EMPRESARIAL - 52_2024.docx

ATIVIDADE 1 - LOGÍSTICA EMPRESARIAL - 52_2024.docx

Realizarei uma breve introdução sobre o ecossistema do Amazon Elastic Kubernetes Service (EKS) tendo em vista o que o serviço pode entregar. A palestra será dedicada à realização de assessements em clusters EKS e a implementação de práticas essenciais em Kubernetes, desde a implementação, configuração, desempenho e finanças. Explicarei o que é o assessements, em um formato hands-on utilizarei ferramentas open source para dar visibilidade ao ambiente e a partir dos relatórios gerados, como ele pode pavimentar o caminho para adoção de boas práticas no kubernetes de acordo com o nível de maturidade das equipes de DevOps e Cloud. Aqui estão alguns pontos que considerarei durante a avaliação: Introdução ao EKS: Uma visão abrangente do Amazon EKS e suas vantagens para orquestração de contêineres. Assessment em Kubernetes: Como avaliar efetivamente o desempenho e a eficiência de seus clusters EKS, utilizando ferramentas open source que não requerem instalação no cluster. As ferramentas utilizadas serão: popeye, rancher, pluto, kube-capacity e kubectl. Capacidade e Setup EKS: A capacidade e o setup eficientes são fundamentais para otimizar o desempenho do Kubernetes. Ao dimensionar a capacidade, é crucial entender as demandas da aplicação e provisionar recursos adequadamente. O setup adequado inclui a configuração do cluster, nós e redes de maneira coesa. Exemplo: configuração e avaliação de nodegroups, dimensionamento de capacidade, utilização de instâncias spot para economizar recursos financeiros, como proceder diante da necessidade de uma atualização, configuração de backup, visão sobre storage e se há monitoramento voltado para o cluster e etc. Boas práticas voltadas ao EKS Boas práticas voltadas à definição de aplicações para Kubernetes Arquitetura do Cluster: Avaliação da arquitetura do cluster Kubernetes, incluindo o número de nós (nodes), a distribuição de carga e a configuração de alta disponibilidade. Configuração: Revisão das configurações do Kubernetes para garantir que estejam alinhadas com as melhores práticas e requisitos específicos do ambiente. Monitoramento e Logging: Avaliação das soluções de monitoramento e logging para garantir a visibilidade adequada sobre o estado e o desempenho do cluster. Atualizações e Patches: Verificação do processo de atualização e aplicação de patches para garantir que o cluster esteja utilizando versões seguras e estáveis do Kubernetes. Escalabilidade: Avaliação da capacidade do cluster de escalar horizontalmente para lidar com aumentos na carga de trabalho. Gerenciamento de Aplicações: Revisão das práticas e ferramentas utilizadas para implantar e gerenciar aplicações no Kubernetes.

Assessement Boas Praticas em Kubernetes.pdf

Assessement Boas Praticas em Kubernetes.pdf

Assessement Boas Praticas em Kubernetes.pdf

Natalia Granato

A margem de contribuição é uma medida fundamental para entender a lucratividade de um produto, serviço, departamento ou da empresa como um todo. Ela representa o valor que sobra da receita depois de subtrair os custos e despesas variáveis associados à produção ou venda desse produto ou serviço. Essa quantia é chamada de "margem de contribuição" porque é a parte do dinheiro que efetivamente contribui para cobrir os custos fixos e gerar lucro. Fonte: FRAGALLI, Adriana Casavechia; CASTRO, Silvio Cesar de. Custos da Produção. Maringá - PR.: Unicesumar, 2022. Dado o contexto fornecido sobre os Margem de Contribuição dentro de uma empresa, é possível expandir a análise para que seja apurada de diferentes formas dentro de uma organizacional. Essas apurações podem ser (1) Global da Empresa, (2) Global de uma filial, (3) Divisão de Negócios, (4) Departamental, (5) Total por produto e (6) Unitário. Neste sentido, explique como cada uma dessas apurações consiste no contexto prático de margem de contribuição.

ATIVIDADE 1 - CUSTOS DE PRODUÇÃO - 52_2024.docx

ATIVIDADE 1 - CUSTOS DE PRODUÇÃO - 52_2024.docx

ATIVIDADE 1 - CUSTOS DE PRODUÇÃO - 52_2024.docx

No mundo digital atual, a informação é considerada uma das principais matérias-primas para o desenvolvimento econômico e social. Com a evolução tecnológica e a disseminação da internet, a quantidade de dados gerados e disponíveis diariamente cresce de forma exponencial. Nesse contexto, a gestão da informação assume um papel fundamental para as organizações, uma vez que permite a captação, armazenamento, processamento, análise e disseminação dos dados de forma estruturada e eficiente. Saes, Danillo Xavier. Gestão da Informação. Maringá-Pr.: UniCesumar, 2019. [Unidade I, p. 16 a 28] Para que possamos construir uma reflexão significativa sobre a gestão da informação no mundo organizacional, vamos realizar a presente atividade em 2 momentos. 1. Defina e diferencie: DADO, INFORMAÇÃO e CONHECIMENTO. 2. Faça uma reflexão sobre o uso da informação no contexto organizacional que está inserido na sociedade do conhecimento, destacando qual a relevância do uso das tecnologias digitais como apoio para a gestão da informação.

ATIVIDADE 1 - GCOM - GESTÃO DA INFORMAÇÃO - 54_2024.docx

ATIVIDADE 1 - GCOM - GESTÃO DA INFORMAÇÃO - 54_2024.docx

ATIVIDADE 1 - GCOM - GESTÃO DA INFORMAÇÃO - 54_2024.docx

Padrões de Projeto: Proxy e Command com exemplo

Padrões de Projeto: Proxy e Command com exemplo

Padrões de Projeto: Proxy e Command com exemplo

Boas práticas de programação com Object Calisthenics

Boas práticas de programação com Object Calisthenics

Boas práticas de programação com Object Calisthenics

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ATIVIDADE 1 - LOGÍSTICA EMPRESARIAL - 52_2024.docx

ATIVIDADE 1 - LOGÍSTICA EMPRESARIAL - 52_2024.docx

ATIVIDADE 1 - LOGÍSTICA EMPRESARIAL - 52_2024.docx

Assessement Boas Praticas em Kubernetes.pdf

Assessement Boas Praticas em Kubernetes.pdf

Assessement Boas Praticas em Kubernetes.pdf

ATIVIDADE 1 - CUSTOS DE PRODUÇÃO - 52_2024.docx

ATIVIDADE 1 - CUSTOS DE PRODUÇÃO - 52_2024.docx

ATIVIDADE 1 - CUSTOS DE PRODUÇÃO - 52_2024.docx

ATIVIDADE 1 - GCOM - GESTÃO DA INFORMAÇÃO - 54_2024.docx

ATIVIDADE 1 - GCOM - GESTÃO DA INFORMAÇÃO - 54_2024.docx

ATIVIDADE 1 - GCOM - GESTÃO DA INFORMAÇÃO - 54_2024.docx

Padrões de Projeto: Proxy e Command com exemplo

Padrões de Projeto: Proxy e Command com exemplo

Padrões de Projeto: Proxy e Command com exemplo

Boas práticas de programação com Object Calisthenics

Boas práticas de programação com Object Calisthenics

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Improving customer value estimation by predicting conversion — Allan Dieguez (Creditas) @PAPIs Connect — São Paulo 2017

1. © 2017 – Creditas Soluções Financeira Ltda. 1© 2017 – Creditas Consultoria Financeira Ltda. Allan Dieguez Data Scientist @ Creditas

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