This module provides an overview of big data and how it can be used to drive business growth and profitability. It defines key terms related to data, discusses the importance of data volume, velocity, variety and value. It explains how businesses can turn big data into smart data by adding intelligence and insights. The module also outlines benefits of data for businesses such as product innovation, process improvements and optimizing operations based on data analytics.
Trabalho Introdutório apresentado ao Modulo de Marketing-> Disciplina Gestão Mercadológica e Administração de Marcas (Branding) - Orientador: Flávio P. de Deus (Instrutor Pleno)
Como Montar uma Livraria Primeira ParteGerson Ramos
1. O documento apresenta um plano de negócios para a abertura de uma livraria, abordando tópicos como visão do negócio, produtos e serviços, e visão da indústria editorial.
2. É destacada a importância de pesquisas de mercado para entender os hábitos de consumo locais e os principais segmentos e players da indústria de livros.
3. O documento fornece orientações sobre precificação, cadeia produtiva, tamanho do mercado e evolução da indústria para embasar
O documento apresenta e descreve diversas ferramentas utilizadas por pedreiros em suas obras, explicando o uso e características de cada uma. Também aborda conceitos sobre aglomerantes, agregados, projetos, normas de segurança e técnicas construtivas.
O documento discute o conceito de merchandising e suas principais características. Três verbos definem merchandising: informar, destacar e vender. O objetivo do merchandising é informar sobre um produto e destacá-lo na loja para acelerar suas vendas. O documento também discute técnicas de merchandising como organização do espaço de venda, tipos de exposição de produtos e importância da embalagem.
O documento fornece dicas sobre como vender mais e melhor. Ele discute a importância das vendas para o sucesso de uma empresa e apresenta características comuns de vendedores de sucesso, como automotivação, empatia com os clientes, boa comunicação e entendimento do processo de venda.
O documento discute as ferramentas básicas do empreendedor de sucesso, incluindo marketing pessoal. Ele enfatiza a importância de se conhecer, projetar uma boa imagem pessoal e profissional, e de se comunicar eficazmente. O marketing pessoal é uma estratégia para conquistar seguidores que ajudem a alcançar objetivos pessoais e profissionais.
O documento descreve as etapas e elementos essenciais de um projeto de arquitetura de acordo com a norma técnica NBR 6492. Ele explica as fases do projeto como estudo preliminar, anteprojeto, projeto legal, projeto de execução e projeto como construído, e os elementos que compõem um projeto de arquitetura como plantas, cortes, fachadas e detalhes. Além disso, fornece detalhes sobre a representação gráfica desses elementos e normas técnicas relacionadas.
Trabalho Introdutório apresentado ao Modulo de Marketing-> Disciplina Gestão Mercadológica e Administração de Marcas (Branding) - Orientador: Flávio P. de Deus (Instrutor Pleno)
Como Montar uma Livraria Primeira ParteGerson Ramos
1. O documento apresenta um plano de negócios para a abertura de uma livraria, abordando tópicos como visão do negócio, produtos e serviços, e visão da indústria editorial.
2. É destacada a importância de pesquisas de mercado para entender os hábitos de consumo locais e os principais segmentos e players da indústria de livros.
3. O documento fornece orientações sobre precificação, cadeia produtiva, tamanho do mercado e evolução da indústria para embasar
O documento apresenta e descreve diversas ferramentas utilizadas por pedreiros em suas obras, explicando o uso e características de cada uma. Também aborda conceitos sobre aglomerantes, agregados, projetos, normas de segurança e técnicas construtivas.
O documento discute o conceito de merchandising e suas principais características. Três verbos definem merchandising: informar, destacar e vender. O objetivo do merchandising é informar sobre um produto e destacá-lo na loja para acelerar suas vendas. O documento também discute técnicas de merchandising como organização do espaço de venda, tipos de exposição de produtos e importância da embalagem.
O documento fornece dicas sobre como vender mais e melhor. Ele discute a importância das vendas para o sucesso de uma empresa e apresenta características comuns de vendedores de sucesso, como automotivação, empatia com os clientes, boa comunicação e entendimento do processo de venda.
O documento discute as ferramentas básicas do empreendedor de sucesso, incluindo marketing pessoal. Ele enfatiza a importância de se conhecer, projetar uma boa imagem pessoal e profissional, e de se comunicar eficazmente. O marketing pessoal é uma estratégia para conquistar seguidores que ajudem a alcançar objetivos pessoais e profissionais.
O documento descreve as etapas e elementos essenciais de um projeto de arquitetura de acordo com a norma técnica NBR 6492. Ele explica as fases do projeto como estudo preliminar, anteprojeto, projeto legal, projeto de execução e projeto como construído, e os elementos que compõem um projeto de arquitetura como plantas, cortes, fachadas e detalhes. Além disso, fornece detalhes sobre a representação gráfica desses elementos e normas técnicas relacionadas.
O documento descreve a história da marca Apple desde sua fundação, passando por momentos de sucesso, declínio e renascimento sob a liderança de Steve Jobs. Detalha também os principais produtos da Apple atualmente, como iPad e iGadgets, e analisa sua estratégia de negócios baseada em integração vertical e excelência.
Architecture of Dynamics CRM with Office 365 and AzurePedro Azevedo
This document provides an overview of Microsoft Dynamics 365 and how it integrates with other Microsoft technologies like Office 365 and Azure. It discusses the CRM market share and Dynamics 365's growth. It describes how Dynamics 365 can be deployed on Azure and leverages various Azure services for capabilities like offline syncing, machine learning, voice of customer, and more. It also mentions related technologies like PowerApps, Logic Apps, and pricing considerations.
This document provides information about Microsoft 365, including its timeline, categories of subscriptions, and features compared to Google Workplace. Microsoft 365 started as Business Productivity Online Suite (BPOS) and Office 365 in 2010-2013, becoming Microsoft 365 in 2020. It offers various subscription plans for individuals, families, students, educators, non-profits, and businesses of all sizes. Key features include security, mobility, collaboration, customization, and advanced device management.
O Programa Riqueza em Vendas é um treinamento consagrado que foi formatado para atender as necessidades das empresas e dos profissionais de vendas no cenário atual, de competição e novos desafios.
O mesmo agrega, recicla e potencializa as inúmeras oportunidades de vendas que surgem no dia a dia. Utilizando-se de metodologias de alto impacto este treinamento amplia as competências dos participantes, trazendo o que há de mais inovador e eficaz em vendas.
Público-alvo
- Gerentes Comerciais
- Executivos de Vendas
- Supervisores de Vendas
- Consultores de Vendas
- Vendedores em Geral
Temas Chaves
- Os 3 pilares para um alto desempenho em vendas
- Os 4 tipos de vendedores
- Como se profissionalizar em vendas
- Razão X Emoção
- 14 Técnicas de Fechamento
- O poder do Foco
- Venda Tradicional X Venda Moderna
- Como construir uma relação de confiança
- Processo de Vendas por meio de Perguntas
- Como superar objeções
- Causas do fracasso em vendas
Resultados Esperados
- Melhoria na taxa de efetividade dos profissionais
- Redução do ciclo de vendas
- Construção de relacionamentos mais sólidos junto aos clientes
- Maior capacidade de diferenciação frente a concorrência
- Desenvolvimento das habilidades necessárias para gerenciar objeções
- Aumento da capacidade de prover valor ao cliente com base nas suas necessidades
- Aumento do volume vendas dos participantes e da empresa
Simulaçao inicial atendimento ao clienteRaquel Bento
Este documento discute a importância da qualidade no atendimento ao cliente. Apresenta as fases do atendimento ao cliente, enfatizando a necessidade de empatia e assertividade. Também destaca a importância de antecipar as necessidades dos clientes, cuidar das relações com eles e promover a melhoria contínua dos serviços oferecidos.
The document describes a framework for conducting customer-centric discovery. It involves 4 stages: KNOW, BE, CONNECT, and CREATE.
In KNOW, salespeople analyze the customer's industry, corporate goals and initiatives, and key contacts. In BE, they learn about the experience of the customer's employees, customers, and value chain.
In CONNECT, salespeople share insights about the customer, visualize their current reality, and co-create a vision. In CREATE, they develop a case for change, storyboard potential solutions, and create a mutual plan.
The goal is to understand customers deeply, connect authentically, and collaboratively develop solutions that meet their needs and priorities.
[1] O documento discute os conceitos de administração de vendas, marketing e o papel do vendedor, incluindo definições, tipos de vendedores, mudanças na área de vendas e o processo de compra. [2] Também apresenta citações sobre a emoção da venda, a importância de manter clientes e o sucesso do cliente ser o sucesso do vendedor. [3] Por fim, aborda a diferença entre métodos de vendas hard e soft.
Este documento fornece orientações sobre técnicas de vendas, incluindo como fazer abordagens, sondagens, demonstrações, contornar objeções e fechar vendas. Ele discute a importância de uma boa primeira impressão, fazer perguntas abertas para obter informações do cliente, focar na solução do cliente e lidar com objeções mostrando que entende as preocupações do cliente.
Salesforce App Cloud provides a trusted, connected platform for building connected apps fast. It allows developers to build apps across multiple layers using a single identity and data model. The platform offers point-and-click configuration for rapid development as well as programming capabilities for advanced functionality. Leading companies use App Cloud to deliver apps for every department, including HR, marketing, operations, and more.
Módulo 1 da disciplina de gestão de marcas. Surgimento da marca; O que é marca; Função da Marca; O que diferencia a marca; Crise do valor agregado; Desafios da marca; Criação de marcas fortes
1. O Starbucks da Rua Amauri possui forças como o ambiente acolhedor e valorização dos funcionários, mas fraquezas como estilo muito americanizado e falta de estacionamento.
2. Oportunidades incluem aumento do consumo de cafés gourmet e público corporativo, mas ameaças como aquecimento global e volatilidade cambial podem afetar o negócio.
3. Análises SWOT são úteis para identificar pontos fortes e fracos e direcionar estratégias de melhoria contínua.
E book WhatsApp Business - Digital para EmpresasAlinne Fernandes
Este documento fornece 8 passos para empresas usarem o WhatsApp Business como ferramenta de vendas. Ele explica como configurar um perfil profissional, usar o aplicativo para melhorar o atendimento e fechar vendas mais rápido, além de dar dicas sobre economia de custos e criação de campanhas em massa.
Este documento apresenta o Anuário 2020 do Prêmio Popai Brasil, que destaca projetos de merchandising no varejo. Em poucas frases:
- O Anuário celebra a 20a edição do Prêmio Popai Brasil, reconhecendo os melhores trabalhos de marketing no ponto de venda.
- Apresenta detalhes sobre a premiação, diretoria, painel de jurados e categorias premiadas no ano de 2020.
- Reúne casos de sucesso em diversas áreas como alimentos, bebidas, cosméticos, eletrônicos
Trabalho para Disciplina Comportamento Organizacional - UFPelGreice Marques
Este documento apresenta um resumo de duas empresas, Natura Cosméticos e Microsoft Corporation, analisando sua cultura organizacional, estrutura e gestão da diversidade. A Natura é uma empresa brasileira de cosméticos fundada em 1969 que valoriza as relações humanas e a sustentabilidade. A Microsoft é uma gigante de tecnologia dos EUA fundada em 1975 que busca capacitar pessoas e empresas por meio da inovação tecnológica. Ambas as empresas promovem a diversidade e inclusão em seus quadros funcionais.
Curso de Whatsapp para Negócios
Empresa: Mercado E-commerce
Link: http://www.mercadoecommerce.com.br/curso-de-whatsapp-para-negocios
Descrição:
Chegou a hora de usar o Whatsapp para fechar negócios e muitas vendas. Aprenda as principais e melhores estratégias de vendas através dessa incrível plataforma. Afinal, quem não usa WhatsApp hoje em dia?
No curso Whatsapp para negócios, o professor Marcos Lenine irá apresentar os principais segredos e técnicas dessa ferramenta, e demonstrar de forma clara e objetiva o passo a passo para ser um campeão de vendas através dessa plataforma.
Professor: Marcos Lenine
Marcos Lenine
Marcos Lenine é publicitário e especialista em Marketing Digital, trabalha com planejamento e gerenciamento de projetos digitais desde 2008, área com a qual teve contato com grandes marcas no Brasil e América Latina como Fiat Automóveis, Ale Combustíveis, Grupo Bonsucesso e Grupo Santa Casa de Belo Horizonte.
Marcos também é professor e palestrante nas áreas de Mídias Sociais e Marketing Digital, tendo representado o Senac tanto em temas abertos ao público, como também em temas para empresas privadas, como a Eudora (Grupo Boticário).
Conteúdo do curso:
01.MARKETING DIGITAL
Vamos adentrar nas bases do ‘Marketing Digital’ – e o porquê escrevi entre aspas. Vamos ver alguns cases de como um marketing bem estruturado transforma pequenos negócios em grandes players.
02.ESTRATÉGIAS PARA WHATSAPP
Neste módulo veremos como construir estratégias de marketing utilizando o comportamento do consumidor e os recursos do WhatsApp a seu favor.
Vamos explorar a criação de processos que permitem que sua empresa utilize o WhatsApp com eficácia no dia a dia, preparando o Setup e definindo precauções que deve tomar.
03.TÁTICAS
Neste módulo veremos como construir estratégias de marketing utilizando o comportamento do consumidor e os recursos do WhatsApp a seu favor.
Vamos explorar a criação de processos que permitem que sua empresa utilize o WhatsApp com eficácia no dia a dia, preparando o Setup e definindo precauções que deve tomar.
04.PRODUZINDO CONTEÚDO EXCLUSIVO PARA O WHATSAPP
Cada tipo de conteúdo citado no e-book será destrinchado, parte por parte, para construirmos o melhor conteúdo possível para nossos clientes, pelo WhatsApp. Textos, imagens, vídeos, áudios, localizações, links, contatos e ligações! Não há limites para a criatividade na hora de criar conteúdo de qualidade.
05.FERRAMENTAS E RECURSOS
O próprio WhatsApp oferece recursos gratuitos e muito poderosos para vendas e marketing, além disso, vamos conhecer ferramentas de automação que vão nos permitir colocar nossas estratégias de WhatsApp rodando no piloto automático!
O documento fornece informações sobre gestão de contas-chave (Key Account Management - KAM). Apresenta objetivos do KAM, perfil do palestrante, dados de pesquisa sobre práticas de KAM em empresas, análise dos resultados e dicas para implementação bem-sucedida de estratégias de KAM.
O documento discute as técnicas de marketing usadas por supermercados para estimular as compras dos clientes, como música, aromas agradáveis e ausência de janelas para que o cliente passe mais tempo na loja. Também aborda a organização estratégica dos produtos nas prateleiras e promoções para atrair mais compras do que o planejado.
O documento discute os principais componentes do Planejamento Estratégico de Marketing (PEM). Estes componentes incluem fatores críticos de sucesso, identificação de oportunidades de mercado, estabelecimento de objetivos e metas, análise de cenários, programa de ação e feedback e controle.
Group 2 Handling and Processing of big data (1).pptxNATASHABANO
This document outlines techniques for handling and processing big data. It begins by defining big data and explaining why it is important to handle large volumes of diverse data generated at high speeds. Some key points covered include:
- The importance of clearly defining goals and strategies before collecting big data to ensure only relevant data is gathered.
- Techniques for handling big data including securing data, keeping backups, linking data between systems, and adapting to new technologies.
- The need to preprocess big data by cleaning, integrating, reducing and discretizing data to improve quality before analysis.
- Examples of big data analysis techniques including market basket analysis and examples using tools like Pandas, Scikit-Learn, R and Apache OpenNLP
Data Analytics has become a powerful tool to drive corporates and businesses. check out this 6 Reasons to Use Data Analytics. Visit: https://www.raybiztech.com/blog/data-analytics/6-reasons-to-use-data-analytics
O documento descreve a história da marca Apple desde sua fundação, passando por momentos de sucesso, declínio e renascimento sob a liderança de Steve Jobs. Detalha também os principais produtos da Apple atualmente, como iPad e iGadgets, e analisa sua estratégia de negócios baseada em integração vertical e excelência.
Architecture of Dynamics CRM with Office 365 and AzurePedro Azevedo
This document provides an overview of Microsoft Dynamics 365 and how it integrates with other Microsoft technologies like Office 365 and Azure. It discusses the CRM market share and Dynamics 365's growth. It describes how Dynamics 365 can be deployed on Azure and leverages various Azure services for capabilities like offline syncing, machine learning, voice of customer, and more. It also mentions related technologies like PowerApps, Logic Apps, and pricing considerations.
This document provides information about Microsoft 365, including its timeline, categories of subscriptions, and features compared to Google Workplace. Microsoft 365 started as Business Productivity Online Suite (BPOS) and Office 365 in 2010-2013, becoming Microsoft 365 in 2020. It offers various subscription plans for individuals, families, students, educators, non-profits, and businesses of all sizes. Key features include security, mobility, collaboration, customization, and advanced device management.
O Programa Riqueza em Vendas é um treinamento consagrado que foi formatado para atender as necessidades das empresas e dos profissionais de vendas no cenário atual, de competição e novos desafios.
O mesmo agrega, recicla e potencializa as inúmeras oportunidades de vendas que surgem no dia a dia. Utilizando-se de metodologias de alto impacto este treinamento amplia as competências dos participantes, trazendo o que há de mais inovador e eficaz em vendas.
Público-alvo
- Gerentes Comerciais
- Executivos de Vendas
- Supervisores de Vendas
- Consultores de Vendas
- Vendedores em Geral
Temas Chaves
- Os 3 pilares para um alto desempenho em vendas
- Os 4 tipos de vendedores
- Como se profissionalizar em vendas
- Razão X Emoção
- 14 Técnicas de Fechamento
- O poder do Foco
- Venda Tradicional X Venda Moderna
- Como construir uma relação de confiança
- Processo de Vendas por meio de Perguntas
- Como superar objeções
- Causas do fracasso em vendas
Resultados Esperados
- Melhoria na taxa de efetividade dos profissionais
- Redução do ciclo de vendas
- Construção de relacionamentos mais sólidos junto aos clientes
- Maior capacidade de diferenciação frente a concorrência
- Desenvolvimento das habilidades necessárias para gerenciar objeções
- Aumento da capacidade de prover valor ao cliente com base nas suas necessidades
- Aumento do volume vendas dos participantes e da empresa
Simulaçao inicial atendimento ao clienteRaquel Bento
Este documento discute a importância da qualidade no atendimento ao cliente. Apresenta as fases do atendimento ao cliente, enfatizando a necessidade de empatia e assertividade. Também destaca a importância de antecipar as necessidades dos clientes, cuidar das relações com eles e promover a melhoria contínua dos serviços oferecidos.
The document describes a framework for conducting customer-centric discovery. It involves 4 stages: KNOW, BE, CONNECT, and CREATE.
In KNOW, salespeople analyze the customer's industry, corporate goals and initiatives, and key contacts. In BE, they learn about the experience of the customer's employees, customers, and value chain.
In CONNECT, salespeople share insights about the customer, visualize their current reality, and co-create a vision. In CREATE, they develop a case for change, storyboard potential solutions, and create a mutual plan.
The goal is to understand customers deeply, connect authentically, and collaboratively develop solutions that meet their needs and priorities.
[1] O documento discute os conceitos de administração de vendas, marketing e o papel do vendedor, incluindo definições, tipos de vendedores, mudanças na área de vendas e o processo de compra. [2] Também apresenta citações sobre a emoção da venda, a importância de manter clientes e o sucesso do cliente ser o sucesso do vendedor. [3] Por fim, aborda a diferença entre métodos de vendas hard e soft.
Este documento fornece orientações sobre técnicas de vendas, incluindo como fazer abordagens, sondagens, demonstrações, contornar objeções e fechar vendas. Ele discute a importância de uma boa primeira impressão, fazer perguntas abertas para obter informações do cliente, focar na solução do cliente e lidar com objeções mostrando que entende as preocupações do cliente.
Salesforce App Cloud provides a trusted, connected platform for building connected apps fast. It allows developers to build apps across multiple layers using a single identity and data model. The platform offers point-and-click configuration for rapid development as well as programming capabilities for advanced functionality. Leading companies use App Cloud to deliver apps for every department, including HR, marketing, operations, and more.
Módulo 1 da disciplina de gestão de marcas. Surgimento da marca; O que é marca; Função da Marca; O que diferencia a marca; Crise do valor agregado; Desafios da marca; Criação de marcas fortes
1. O Starbucks da Rua Amauri possui forças como o ambiente acolhedor e valorização dos funcionários, mas fraquezas como estilo muito americanizado e falta de estacionamento.
2. Oportunidades incluem aumento do consumo de cafés gourmet e público corporativo, mas ameaças como aquecimento global e volatilidade cambial podem afetar o negócio.
3. Análises SWOT são úteis para identificar pontos fortes e fracos e direcionar estratégias de melhoria contínua.
E book WhatsApp Business - Digital para EmpresasAlinne Fernandes
Este documento fornece 8 passos para empresas usarem o WhatsApp Business como ferramenta de vendas. Ele explica como configurar um perfil profissional, usar o aplicativo para melhorar o atendimento e fechar vendas mais rápido, além de dar dicas sobre economia de custos e criação de campanhas em massa.
Este documento apresenta o Anuário 2020 do Prêmio Popai Brasil, que destaca projetos de merchandising no varejo. Em poucas frases:
- O Anuário celebra a 20a edição do Prêmio Popai Brasil, reconhecendo os melhores trabalhos de marketing no ponto de venda.
- Apresenta detalhes sobre a premiação, diretoria, painel de jurados e categorias premiadas no ano de 2020.
- Reúne casos de sucesso em diversas áreas como alimentos, bebidas, cosméticos, eletrônicos
Trabalho para Disciplina Comportamento Organizacional - UFPelGreice Marques
Este documento apresenta um resumo de duas empresas, Natura Cosméticos e Microsoft Corporation, analisando sua cultura organizacional, estrutura e gestão da diversidade. A Natura é uma empresa brasileira de cosméticos fundada em 1969 que valoriza as relações humanas e a sustentabilidade. A Microsoft é uma gigante de tecnologia dos EUA fundada em 1975 que busca capacitar pessoas e empresas por meio da inovação tecnológica. Ambas as empresas promovem a diversidade e inclusão em seus quadros funcionais.
Curso de Whatsapp para Negócios
Empresa: Mercado E-commerce
Link: http://www.mercadoecommerce.com.br/curso-de-whatsapp-para-negocios
Descrição:
Chegou a hora de usar o Whatsapp para fechar negócios e muitas vendas. Aprenda as principais e melhores estratégias de vendas através dessa incrível plataforma. Afinal, quem não usa WhatsApp hoje em dia?
No curso Whatsapp para negócios, o professor Marcos Lenine irá apresentar os principais segredos e técnicas dessa ferramenta, e demonstrar de forma clara e objetiva o passo a passo para ser um campeão de vendas através dessa plataforma.
Professor: Marcos Lenine
Marcos Lenine
Marcos Lenine é publicitário e especialista em Marketing Digital, trabalha com planejamento e gerenciamento de projetos digitais desde 2008, área com a qual teve contato com grandes marcas no Brasil e América Latina como Fiat Automóveis, Ale Combustíveis, Grupo Bonsucesso e Grupo Santa Casa de Belo Horizonte.
Marcos também é professor e palestrante nas áreas de Mídias Sociais e Marketing Digital, tendo representado o Senac tanto em temas abertos ao público, como também em temas para empresas privadas, como a Eudora (Grupo Boticário).
Conteúdo do curso:
01.MARKETING DIGITAL
Vamos adentrar nas bases do ‘Marketing Digital’ – e o porquê escrevi entre aspas. Vamos ver alguns cases de como um marketing bem estruturado transforma pequenos negócios em grandes players.
02.ESTRATÉGIAS PARA WHATSAPP
Neste módulo veremos como construir estratégias de marketing utilizando o comportamento do consumidor e os recursos do WhatsApp a seu favor.
Vamos explorar a criação de processos que permitem que sua empresa utilize o WhatsApp com eficácia no dia a dia, preparando o Setup e definindo precauções que deve tomar.
03.TÁTICAS
Neste módulo veremos como construir estratégias de marketing utilizando o comportamento do consumidor e os recursos do WhatsApp a seu favor.
Vamos explorar a criação de processos que permitem que sua empresa utilize o WhatsApp com eficácia no dia a dia, preparando o Setup e definindo precauções que deve tomar.
04.PRODUZINDO CONTEÚDO EXCLUSIVO PARA O WHATSAPP
Cada tipo de conteúdo citado no e-book será destrinchado, parte por parte, para construirmos o melhor conteúdo possível para nossos clientes, pelo WhatsApp. Textos, imagens, vídeos, áudios, localizações, links, contatos e ligações! Não há limites para a criatividade na hora de criar conteúdo de qualidade.
05.FERRAMENTAS E RECURSOS
O próprio WhatsApp oferece recursos gratuitos e muito poderosos para vendas e marketing, além disso, vamos conhecer ferramentas de automação que vão nos permitir colocar nossas estratégias de WhatsApp rodando no piloto automático!
O documento fornece informações sobre gestão de contas-chave (Key Account Management - KAM). Apresenta objetivos do KAM, perfil do palestrante, dados de pesquisa sobre práticas de KAM em empresas, análise dos resultados e dicas para implementação bem-sucedida de estratégias de KAM.
O documento discute as técnicas de marketing usadas por supermercados para estimular as compras dos clientes, como música, aromas agradáveis e ausência de janelas para que o cliente passe mais tempo na loja. Também aborda a organização estratégica dos produtos nas prateleiras e promoções para atrair mais compras do que o planejado.
O documento discute os principais componentes do Planejamento Estratégico de Marketing (PEM). Estes componentes incluem fatores críticos de sucesso, identificação de oportunidades de mercado, estabelecimento de objetivos e metas, análise de cenários, programa de ação e feedback e controle.
Group 2 Handling and Processing of big data (1).pptxNATASHABANO
This document outlines techniques for handling and processing big data. It begins by defining big data and explaining why it is important to handle large volumes of diverse data generated at high speeds. Some key points covered include:
- The importance of clearly defining goals and strategies before collecting big data to ensure only relevant data is gathered.
- Techniques for handling big data including securing data, keeping backups, linking data between systems, and adapting to new technologies.
- The need to preprocess big data by cleaning, integrating, reducing and discretizing data to improve quality before analysis.
- Examples of big data analysis techniques including market basket analysis and examples using tools like Pandas, Scikit-Learn, R and Apache OpenNLP
Data Analytics has become a powerful tool to drive corporates and businesses. check out this 6 Reasons to Use Data Analytics. Visit: https://www.raybiztech.com/blog/data-analytics/6-reasons-to-use-data-analytics
Nuestar "Big Data Cloud" Major Data Center Technology nuestarmobilemarketing...IT Support Engineer
Nuestar Communications provides big data and cloud technology solutions to help organizations analyze large datasets and extract value from data. Their platform allows for tightly coupled data integration across various data sources and analytics to support the entire big data lifecycle. Nuestar helps clients address challenges around managing large and varied data, determining what data is most important, and using all of their data to make better decisions.
Enterprises are facing exponentially increasing amounts of data that is breaking down traditional storage architectures. NetApp addresses this "big data challenge" through their "Big Data ABCs" approach - focusing on analytics, bandwidth, and content. This enables customers to gain insights from massive datasets, move data quickly for high-speed applications, and securely store unlimited amounts of content for long periods without increasing complexity. NetApp's solutions provide a foundation for enterprises to innovate with data and drive business value.
The white paper discusses how enterprises are facing exponentially growing amounts of data that is breaking down traditional storage architectures. It outlines NetApp's approach to addressing big data challenges through what it calls the "Big Data ABCs" - analytics, bandwidth, and content. This allows customers to gain insights from massive data sets, move data quickly for high-performance applications, and store large amounts of content for long periods without increasing complexity. NetApp provides solutions to help enterprises take advantage of big data and turn it into business value.
IBM's InfoSphere software helps organizations successfully leverage big data by providing an understanding of their data. It addresses the challenges of big data's four V's (volume, variety, velocity, and veracity) by automating data integration and governance. This helps boost confidence in big data by establishing standard terminology, tracing data lineage, and separating useful "good" data from unnecessary "bad" data. As a result, organizations can more accurately analyze big data and act on the insights with confidence.
Here are the answers to the assignment questions:
1. Big data refers to huge volumes of both structured and unstructured data that is so large in size and complex that traditional data processing applications are inadequate to deal with it.
2. The three main types of data are:
- Structured data: Data that is organized and has a predefined data model e.g. numbers in a database. Sources include CRM systems, transactions etc.
- Semi-structured data: Data that has some structure but not fully structured e.g. log files, XML files. Sources include sensors, images, audio/video etc.
- Unstructured data: Data with no predefined structure e.g. text, emails. Sources include
This document discusses big data, defining it as large volumes of structured, semi-structured, and unstructured data that can be mined for information. It outlines four key characteristics of big data: volume, variety, velocity, and variability. It also discusses big data applications across various industries and provides examples of real-time big data applications. Finally, it covers challenges of conventional data systems and risks associated with big data projects.
Introduction to Big Data: Definition, Characteristic Features, Big Data Applications, Big Data vs Traditional Data, Risks of Big Data, Structure of Big Data, Challenges of Conventional Systems, Web Data, Evolution of Analytic Scalability, Evolution of Analytic Processes, Tools and methods, Analysis vs Reporting, Modern Data Analytic Tools
What is big data ? | Big Data ApplicationsShilpaKrishna6
Big data is similar to ‘small data’ but bigger in size. It is a term that describes the large volume of data both structured and unstructured. Big data generates value from the storage and processing of very large quantities of digital information that cannot be analyzed with traditional computing techniques
Big Data is the lastest cashcow. Data Analytics has now a crucial role for industries. This article describes as to what is Big Data and Analytics and how a Chartered Accountant will be able to provide value in this field.
IMPACT OF BIG DATA ON BUSINESS DECISIONS THROUGH THE VIEW OF DATASCIENCE-BASE...IRJET Journal
This document discusses how big data impacts business decisions through the lens of data science-based decision making. It begins by defining big data and its importance for businesses. Big data allows companies to gain valuable insights from vast amounts of diverse data to make more informed strategic decisions. Data science utilizes techniques like machine learning, artificial intelligence, and predictive analytics to analyze big data and extract useful information for businesses. Several examples are provided of large companies that have successfully integrated big data and data science into their decision-making processes. Overall, the document examines how data science can help businesses leverage big data to improve automation, gain deeper customer insights, and make faster, better decisions to achieve strategic goals like increased revenue and reduced costs.
This document provides information about big data analytics. It defines what data and big data are, explaining that big data refers to extremely large data sets that are difficult to process using traditional data management tools. It discusses the volume, variety, velocity, and veracity characteristics of big data. Examples of big data sources and sizes are provided, such as the terabytes of data generated each day by the New York Stock Exchange and Facebook. The document also covers structured, unstructured, and semi-structured data types; advantages of big data processing; and types of digital advertising.
This document provides an analysis of big data, including its characteristics, applications, and analytics techniques used by businesses. It discusses that big data is data that is too large to be processed by traditional databases and software. It has characteristics of volume, velocity, variety, and veracity. The document outlines tools for big data like Hadoop, MongoDB, Apache Spark, and Apache Cassandra. It explains that big data analytics helps businesses gain insights from vast amounts of structured and unstructured data to improve decision making.
Welsh Consultants publishes- Big data has affected the way that organisations do business in every industry across the world, and real estate is no exception. Understanding the term ‘big data’ will help give context to how it helps in real estate analysis. Gartner’s explanation, circa 2001, is still considered the go-to definition: ‘Big data is high-volume, high-velocity and high-variety information assets that demand cost-effective, innovative forms of information processing that enable enhanced insights, superior decision-making, and effective process automation.’ This is often referred to as the ‘three Vs’ of big data. Essentially, big data is processing of large amounts of data, be it historic or real-time, and to which algorithms are applied to discover trends in user behaviour, predict future outcomes, or gain other business insights. The data sets can be structured or unstructured, and can be analysed to make precise and accurate business decisions. This paper reflects upon this in detail.
Unlock the potential of Big Data with Edvicon. Learn the benefits of harnessing vast information, from our expert instructors. Gain valuable insights and make data-driven decisions for future success.
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The document discusses big data, including what it is, its history, current considerations, and importance. It notes that big data refers to large volumes of structured and unstructured data that businesses deal with daily. While the term is relatively new, collecting and storing large amounts of information for analysis has existed for a long time. Big data is now defined by its volume, velocity, and variety. Businesses can gain insights from big data analysis to make better decisions and strategic moves.
big data on science of analytics and innovativeness among udergraduate studen...johnmutiso245
This document outlines the members of a group and then provides definitions and background information about big data. It discusses the history of big data, how big data works, the benefits and disadvantages of big data, current applications of big data, and the future of big data. It concludes that big data analysis provides opportunities but also faces challenges regarding data quality, security, skills shortage, and more. References are provided.
big data on science of analytics and innovativeness among udergraduate studen...johnmutiso245
This document outlines the members of a group and then provides definitions and background information about big data. It discusses the history of big data, how big data works, the benefits and disadvantages of big data, current applications of big data, and the future of big data. It concludes that big data analysis provides opportunities but also faces challenges regarding data quality, security, skills shortage, and more. References are provided.
As we enter the digital economy, it becomes increasingly transparent that the information and data ecosphere will continue to be a complex environment for the foreseeable future, with information being provided from a variety of internal and external sources in the form of files, messages, queries and streams. It would be foolish for any organization to place their bets on any one platform to be their platform of choice because it is incongruent to the thought patterns of the consumers, suppliers, regulators, partners and financiers who will participate in their information ecosphere through data feeds, information requests and a host of other interfaces.
Rather, there is a role of each of these platforms which serve as the conduit for data and the transformation of data into information aligned with the value propositions of the organization. This writing is focused on the big data platform because there are some unique characteristics of the big data environment that require an approach different than many of the legacy environments that exist in organizations. Furthermore, while big data is the one environment that is new and requires these special handling characteristics, there will be future platforms with the same requirements as big data requires today, and hopefully lessons learned will be left to not revisit each of the challenges as the next transformational information ecosphere is made available.
Figure 1 The Fourth Industrial Revolution, World Economic Forum, InfoSight Partners, 2016
This time is different, in that information is the catalyst to achieving value and the platform ideally suited to house information not optimal for storage in the form of rows and columns is the big data environment. Understanding which information is delivered with intended consequences and having the management prowess to tune information shared with customers, prospects, suppliers, partners, regulators and financiers is critical for the digital economy. Additionally, it is specific to understand the challenges each platform housing information bring to the equation. This writing will focus on big data.
How to Manage Your Lost Opportunities in Odoo 17 CRMCeline George
Odoo 17 CRM allows us to track why we lose sales opportunities with "Lost Reasons." This helps analyze our sales process and identify areas for improvement. Here's how to configure lost reasons in Odoo 17 CRM
How to Make a Field Mandatory in Odoo 17Celine George
In Odoo, making a field required can be done through both Python code and XML views. When you set the required attribute to True in Python code, it makes the field required across all views where it's used. Conversely, when you set the required attribute in XML views, it makes the field required only in the context of that particular view.
A review of the growth of the Israel Genealogy Research Association Database Collection for the last 12 months. Our collection is now passed the 3 million mark and still growing. See which archives have contributed the most. See the different types of records we have, and which years have had records added. You can also see what we have for the future.
LAND USE LAND COVER AND NDVI OF MIRZAPUR DISTRICT, UPRAHUL
This Dissertation explores the particular circumstances of Mirzapur, a region located in the
core of India. Mirzapur, with its varied terrains and abundant biodiversity, offers an optimal
environment for investigating the changes in vegetation cover dynamics. Our study utilizes
advanced technologies such as GIS (Geographic Information Systems) and Remote sensing to
analyze the transformations that have taken place over the course of a decade.
The complex relationship between human activities and the environment has been the focus
of extensive research and worry. As the global community grapples with swift urbanization,
population expansion, and economic progress, the effects on natural ecosystems are becoming
more evident. A crucial element of this impact is the alteration of vegetation cover, which plays a
significant role in maintaining the ecological equilibrium of our planet.Land serves as the foundation for all human activities and provides the necessary materials for
these activities. As the most crucial natural resource, its utilization by humans results in different
'Land uses,' which are determined by both human activities and the physical characteristics of the
land.
The utilization of land is impacted by human needs and environmental factors. In countries
like India, rapid population growth and the emphasis on extensive resource exploitation can lead
to significant land degradation, adversely affecting the region's land cover.
Therefore, human intervention has significantly influenced land use patterns over many
centuries, evolving its structure over time and space. In the present era, these changes have
accelerated due to factors such as agriculture and urbanization. Information regarding land use and
cover is essential for various planning and management tasks related to the Earth's surface,
providing crucial environmental data for scientific, resource management, policy purposes, and
diverse human activities.
Accurate understanding of land use and cover is imperative for the development planning
of any area. Consequently, a wide range of professionals, including earth system scientists, land
and water managers, and urban planners, are interested in obtaining data on land use and cover
changes, conversion trends, and other related patterns. The spatial dimensions of land use and
cover support policymakers and scientists in making well-informed decisions, as alterations in
these patterns indicate shifts in economic and social conditions. Monitoring such changes with the
help of Advanced technologies like Remote Sensing and Geographic Information Systems is
crucial for coordinated efforts across different administrative levels. Advanced technologies like
Remote Sensing and Geographic Information Systems
9
Changes in vegetation cover refer to variations in the distribution, composition, and overall
structure of plant communities across different temporal and spatial scales. These changes can
occur natural.
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Leveraging Generative AI to Drive Nonprofit InnovationTechSoup
In this webinar, participants learned how to utilize Generative AI to streamline operations and elevate member engagement. Amazon Web Service experts provided a customer specific use cases and dived into low/no-code tools that are quick and easy to deploy through Amazon Web Service (AWS.)
This document provides an overview of wound healing, its functions, stages, mechanisms, factors affecting it, and complications.
A wound is a break in the integrity of the skin or tissues, which may be associated with disruption of the structure and function.
Healing is the body’s response to injury in an attempt to restore normal structure and functions.
Healing can occur in two ways: Regeneration and Repair
There are 4 phases of wound healing: hemostasis, inflammation, proliferation, and remodeling. This document also describes the mechanism of wound healing. Factors that affect healing include infection, uncontrolled diabetes, poor nutrition, age, anemia, the presence of foreign bodies, etc.
Complications of wound healing like infection, hyperpigmentation of scar, contractures, and keloid formation.
Chapter wise All Notes of First year Basic Civil Engineering.pptxDenish Jangid
Chapter wise All Notes of First year Basic Civil Engineering
Syllabus
Chapter-1
Introduction to objective, scope and outcome the subject
Chapter 2
Introduction: Scope and Specialization of Civil Engineering, Role of civil Engineer in Society, Impact of infrastructural development on economy of country.
Chapter 3
Surveying: Object Principles & Types of Surveying; Site Plans, Plans & Maps; Scales & Unit of different Measurements.
Linear Measurements: Instruments used. Linear Measurement by Tape, Ranging out Survey Lines and overcoming Obstructions; Measurements on sloping ground; Tape corrections, conventional symbols. Angular Measurements: Instruments used; Introduction to Compass Surveying, Bearings and Longitude & Latitude of a Line, Introduction to total station.
Levelling: Instrument used Object of levelling, Methods of levelling in brief, and Contour maps.
Chapter 4
Buildings: Selection of site for Buildings, Layout of Building Plan, Types of buildings, Plinth area, carpet area, floor space index, Introduction to building byelaws, concept of sun light & ventilation. Components of Buildings & their functions, Basic concept of R.C.C., Introduction to types of foundation
Chapter 5
Transportation: Introduction to Transportation Engineering; Traffic and Road Safety: Types and Characteristics of Various Modes of Transportation; Various Road Traffic Signs, Causes of Accidents and Road Safety Measures.
Chapter 6
Environmental Engineering: Environmental Pollution, Environmental Acts and Regulations, Functional Concepts of Ecology, Basics of Species, Biodiversity, Ecosystem, Hydrological Cycle; Chemical Cycles: Carbon, Nitrogen & Phosphorus; Energy Flow in Ecosystems.
Water Pollution: Water Quality standards, Introduction to Treatment & Disposal of Waste Water. Reuse and Saving of Water, Rain Water Harvesting. Solid Waste Management: Classification of Solid Waste, Collection, Transportation and Disposal of Solid. Recycling of Solid Waste: Energy Recovery, Sanitary Landfill, On-Site Sanitation. Air & Noise Pollution: Primary and Secondary air pollutants, Harmful effects of Air Pollution, Control of Air Pollution. . Noise Pollution Harmful Effects of noise pollution, control of noise pollution, Global warming & Climate Change, Ozone depletion, Greenhouse effect
Text Books:
1. Palancharmy, Basic Civil Engineering, McGraw Hill publishers.
2. Satheesh Gopi, Basic Civil Engineering, Pearson Publishers.
3. Ketki Rangwala Dalal, Essentials of Civil Engineering, Charotar Publishing House.
4. BCP, Surveying volume 1
ISO/IEC 27001, ISO/IEC 42001, and GDPR: Best Practices for Implementation and...PECB
Denis is a dynamic and results-driven Chief Information Officer (CIO) with a distinguished career spanning information systems analysis and technical project management. With a proven track record of spearheading the design and delivery of cutting-edge Information Management solutions, he has consistently elevated business operations, streamlined reporting functions, and maximized process efficiency.
Certified as an ISO/IEC 27001: Information Security Management Systems (ISMS) Lead Implementer, Data Protection Officer, and Cyber Risks Analyst, Denis brings a heightened focus on data security, privacy, and cyber resilience to every endeavor.
His expertise extends across a diverse spectrum of reporting, database, and web development applications, underpinned by an exceptional grasp of data storage and virtualization technologies. His proficiency in application testing, database administration, and data cleansing ensures seamless execution of complex projects.
What sets Denis apart is his comprehensive understanding of Business and Systems Analysis technologies, honed through involvement in all phases of the Software Development Lifecycle (SDLC). From meticulous requirements gathering to precise analysis, innovative design, rigorous development, thorough testing, and successful implementation, he has consistently delivered exceptional results.
Throughout his career, he has taken on multifaceted roles, from leading technical project management teams to owning solutions that drive operational excellence. His conscientious and proactive approach is unwavering, whether he is working independently or collaboratively within a team. His ability to connect with colleagues on a personal level underscores his commitment to fostering a harmonious and productive workplace environment.
Date: May 29, 2024
Tags: Information Security, ISO/IEC 27001, ISO/IEC 42001, Artificial Intelligence, GDPR
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This presentation includes basic of PCOS their pathology and treatment and also Ayurveda correlation of PCOS and Ayurvedic line of treatment mentioned in classics.
1. This programme has been funded with
support from the European Commission
Module 1:
The Power of Data
Why data skills matter
Complete this module in conjunction
with Module 1 notes
2. GENERATION DATA | USING DATA FOR PROFIT
Discover the importance of
data as a driver of business
growth and profitability.
a. Comprehend the role of big data
for business.
b. Understand and be able to apply
the key terms relating to data.
c. Know how big data can be turned
into smart data.
d. Be able to articulate a case for
data as a route to competitive
advantage
3. This programme has been funded with support from the European Commission. The author
is solely responsible for this publication (communication) and the Commission accepts no
responsibility for any use that may be made of the information contained therein.
1
3
4
From Big Data to Smart Data
A brief history of data
Benefits of data for business
2 What is Big Data
2.1 The 5 Vs of data
2.2 Understanding data
Overview
4. GENERATION DATA | USING DATA FOR PROFIT
2. WHAT IS BIG DATA?
• Data of a very large size, typically to the extent that its manipulation
and management present significant logistical challenges. Oxford English
Dictionary.
• A new attitude by businesses, non-profits, government agencies, and
individuals that recognises that combining data from multiple sources
could lead to better decisions. Gill Press in Forbes, 2014.
• High-volume, high-velocity and high-variety information assets that
demand cost-effective, innovative forms of information processing for
enhanced insight and decision-making. Gartner, 2014
5. GENERATION DATA | USING DATA FOR PROFIT
Before we start, let’s set
the scene by reading
The Model T Ford
(resource 1)
Limitations of the one size fits
all model in the era of digital
data.
6. GENERATION DATA | USING DATA FOR PROFIT
1. A BRIEF HISTORY OF DATA
1997
The first documented use of the
term “big data” appeared in a
1997 paper by scientists at
NASA. They described the
problem with the visualization of
large data sets which do not fit on
local disk memories as “the
problem of big data”.
https://www.forbes.com/sites/gilpress/2014/09/03/12-big-
data-definitions-whats-yours/#79b0a05813ae
7. GENERATION DATA | USING DATA FOR PROFIT
VOLUME
The magnitude
of data being
generated.
VELOCITY
The speed at
which data is
being
generated and
aggregated.
VARIETY
The types of
data available
to us.
VERACITY
The accuracy or
trustworthiness
of the data.
VALUE
The extent to
which data
generates
economically
valuable insights.
2.1 The 5 Vs of Big Data
9. 2. Velocity
GENERATION DATA | USING DATA FOR PROFIT
Big data technology allows
us to analyze the data
while it is generated,
without ever putting it
into databases.
For many businesses, the
speed of data creation is
even more important than
the volume.
10. GENERATION DATA | USING DATA FOR PROFIT
Real time insights
MIT Media Lab used location data
from phones to infer how many
people were in Macy’s parking lots
on Black Friday.
They could estimate the retailer’s
sales on that critical day even before
Macy’s itself had recorded those
sales.
Rapid insights provide an obvious
competitive advantage to analysts
and managers.
11. 3. Variety
GENERATION DATA | USING DATA FOR PROFIT
Before data was predominantly
structured – it was numerical
and highly organized. Today 80%
of the world’s data is
unstructured, including photos,
social media updates, readings
from sensors etc.
Today’s big data technology
allows structured and
unstructured data to be
harvested, stored, and used
simultaneously.
12. 4. Veracity
GENERATION DATA | USING DATA FOR PROFIT
Big data can be a crucial part of
business strategy and growth, but
high volumes of data are of no use
if the data is not accurate.
The most common problems are
data incompleteness and
inconsistencies. When these are
known and accounted for, data can
be cleaned or issues can be taken
into account.
13. 5. Value
GENERATION DATA | USING DATA FOR PROFIT
With so much data around, it is easy
to fall into the buzz trap and embark
on big data initiatives without a clear
understanding of the business value
it will bring.
Adapting data to suit your business
needs will enable you to unlock the
hidden potential within the
information you’ve collected, which
means you will get the most value
out of your data.
14. GENERATION DATA | USING DATA FOR PROFIT
MACHINE GENERATED DATA
Includes financial systems transactions, cloud applications, call detail records, medical
devices, GPS data and sensor data. It is valuable because it contains a definitive, real
time record of the behaviour of users and their transactions.
SOCIAL DATA
Information that social media users publicly share, including metadata such as the user's
location, language spoken, biographical data and/or shared links. It is valuable to
marketers looking for customer insights that may increase sales.
HUMAN GENERATED DATA
Exists as nonnumeric, unstructured data sets from online surveys, social media posts,
even phone calls. It is valuable because it describes a person’s interests the social
aspects of human interaction, but it can be very difficult to analyse.
META DATA
Data that provides information about other data. For example, information about the
title, subject, author and size of a document constitute metadata about that document.
2.2 UNDERSTANDING DATA
15. GENERATION DATA | USING DATA FOR PROFIT
STRUCTURED
High degree of
organization, such as
relational database.
Examples: Dates, phone
numbers, customer
names, transaction
information...
UNSTRUCTURED
Information that is
difficult to organize using
traditional mechanisms.
Examples: Images, social
media...
SEMI STRUCTURED
Information not in a
database but that does
have some organizational
properties that make it
easier to analyze
Examples: Websites, XML,
e-mails...
2.2 UNDERSTANDING DATA
17. GENERATION DATA | USING DATA FOR PROFIT
3. FROM BIG DATA TO SMART DATA
Smart data describes data that has valid, well-defined, meaningful
information with an added layer of intelligence or interpretation. This
enables decisions to be made more quickly, and even in some
cases, without human intervention or processing from a centralized
system.
DATA
Monthly
sales report
Sales report synthesisng peaks and
troughs according to day/time, creating
recommendations on how to adjust
staffing.
SMART DATA
18. GENERATION DATA | USING DATA FOR PROFIT
3. FROM BIG DATA TO SMART DATA
1 3 42
Can we
sense
this
data?
Can we
generate a
sensible
result
from it?
Can we
use it for a
better
service?
Can we
convert it
into a
profit?
Source: Sen, Ozturk, Vayvay 2016.
19. GENERATION DATA | USING DATA FOR PROFIT
Is your
business smart?
Datavores Data Builders Data Mixers
16% 22% 31%
Make strong
use of data
and analysis
for decision–
making.
Use big datasets
requiring
dedicated servers
for parallel
processing.
Combine data from a
variety of sources.
Dataphobes
30%
Work with small
datasets and few
data sources, and do
not use data or analysis
to make decisions.
In 2015 NESTA investigated
the data practices of 404
medium and large UK
businesses in six sectors.
They found four main types of
companies.
Econometric analysis reveals
that Datavores and Data
Builders are over 10% more
productive than the
Dataphobes after controlling
for other factors.
20. GENERATION DATA | USING DATA FOR PROFIT
Don’t rely on HiPPOs
Many companies still rely on
HiPPOs, the Highest-Paid
Person’s Opinion.
Throughout the business world
today, people rely too much on
experience and intuition and
not enough on data.
Source: Harvard Business Review, October 2012
21. GENERATION DATA | USING DATA FOR PROFIT
4. BENEFITS OF DATA FOR BUSINESS
The importance of big data does not revolve around how
much data a company has but how a company utilizes the
collected data.
Being able to analyze and predict market and customer
behavior with Big Data is a new paradigm shift for SMEs.
When it is implemented correctly, it can yield increased
flexibility, productivity, responsiveness, anticipation and
ability to meet customer need through capturing blind spots
and making better decisions.
22. GENERATION DATA | USING DATA FOR PROFIT
4. BENEFITS OF DATA FOR BUSINESS
Product Innovation
• Market insights
• New products
• Real time feedback
• Maximise profit
Process improvements
• Time reductions
• Cost savings
• Improved Quality
• Manage online reputation
• Customer satifaction
23. GENERATION DATA | USING DATA FOR PROFIT
FOURS WAYS
BUSINESSES USE
DATA TO GROW
Reduce Time To Market
Introducing new products or services involves many life cycle stages. A
large pharmaceutical company reduced the time it takes to run clinical trial
simulations by 98% by moving its work into a dedicated data services
environment in the cloud.
Before moving, scientists were using a shared internal environment where
it took 60 hours to run hundreds of jobs. Now that each scientist has a
dedicated environment, 2,000 jobs can be processed in 1.2 hours without
causing an impact to other members of the team.
Improve Financial Performance
Corporate finance departments are moving beyond periodic reporting
using big data to reduce risks and costs, identify opportunities, and
improve the accuracy of forecasts. As it’s easier to retain an existing client
than acquire a new one, a common application is to analyse clients’
payment history to identify those most at risk of ceasing to use a service,
before they do so.
By predicting the risk, the company can boost the customer service to this
client, replacing emails with calls, for example, to retain their custom.
24. GENERATION DATA | USING DATA FOR PROFIT
FOUR WAYS
BUSINESSES USE
DATA TO GROW
Minimize Equipment And Asset Failures
Sensors can be embedded into just about everything, enabling
companies to use the data to determine when maintenance is
required. Ideally, when an issue has arisen, companies want to
understand the issue, what caused it, and how it can be resolved,
preferably before a maintenance professional or crew is dispatched.
Companies that collect more information can enable more proactive
maintenance, save valuable staff hours and improve customer
satisfaction.
Optimize staffing and supply chain for weather
The weather has a huge economic impact at macro level but also affects
businesses of all sizes because of its unpredictable impact on the
demand of certain products and services.
Companies that relate data points on weather conditions to sales and
customer service data are better placed to adjust staffing and supply
chain strategies ahead of time.
25. GENERATION DATA | USING DATA FOR PROFIT
GLOSSARY
UNITS OF DATA
Byte 100 1
Kilobye KB 103 1,000
Megabyte MB 106 1,000,000
Gigabyte GB 109 1,000,000,000
Terabyte TB 1012 1,000,000,000,000
Petrabyte TB 1015 1,000,000,000,000,000
Exabyte EB 1018 1,000,000,000,000,000,000
DATA
Information, especially facts or numbers, collected,
examined and used to help decision-making.
DATASET
A collection of data, typically in tabular form.
DATABASE
A digital collection of data and the structure around
which the data is organized.
DISTRIBUTED FILE SYSTEM
Data storage system that stores large volumes of data
across multiple storage devices to decrease the cost
and complexity of storing large amounts of data.
26. GENERATION DATA | USING DATA FOR PROFIT
ACTIVITY 1
How much
data do you
generate?
Imagine your typical day from when you wake up from when you
go to bed. You might check your smart phone, log on to your
computer and several app, make phone calls, respond to emails,
purchase items on line, post content on social media……
Write a list of all the types of data that you generate, what type of
data is it, who can see it and what value it might be to them.
Activity Data
generated
Type of data Who sees it Business value
Added item to
cloud-based
personal
calendar
Location of my
appointment
Semi-
structured
Google Can target ads
to my location
27. GENERATION DATA | USING DATA FOR PROFIT
ACTIVITY 2
True or false?
“The evidence is clear:
Data-driven decisions tend to be better
decisions. Leaders will either embrace this
fact or be replaced by others who do.”
Do you believe this statement is true or false? Are there times
when a HiPPO is better placed to make a decision?
28. GENERATION DATA | USING DATA FOR PROFIT
ACTIVITY 3
What does it
mean to be
data driven?
Select an industry from above and carry out investigation to find
two ways that businesses in that sector have used data to drive
their business growth.
1. What did they do?
2. How did using data modify their internal processes or product
innovation?
3. What were the tangible benefits to profitability?
Add icons to illustrate each industry:
Financial Services
Retail
Food and beverages
Manufacturing
Healthcare
Tourism
Transportation