SlideShare une entreprise Scribd logo
1  sur  60
Veja a história completa
por trás de seus dados
Consultoria empresarial especializada em inteligência de
mercado.
Possuímos soluções em business intelligence,
gerenciamento de projetos e marketing digital.
Ajudamos empresas a alavancar seus negócios.
Identificamos áreas sensíveis onde seja possível propor
melhorias que visam competitividade, aumento da
produtividade e redução de custos.
Fale conosco
São Paulo: +55 (11) 3090-5557
Website: www.paralelocs.com.br
Semelhanças entre QlikView
e Qlik Sense
Modelo de dados
BI Tradicional
vs.
Modelo associativo Qlik
• Ligações pré-definidas
• Hierarquias pré-definidas
• Noções preconcebidas de como os dados
estão relacionados
• Apenas uma parte da história
• Associações dinâmicas
• Exploração livre em todas direções
• Entender como os dados estão realmente
relacionados
• História completa
Modelo de dados
Booksmarks (Marcadores)
Com o recurso Booksmarks é possível criar marcadores, ou seja, filtros
personalizados para consultas rápidas.
Booksmarks
Engine (Qix Motor) e
Arquitetura Técnica
Apresentação
Proxy
Aplicação
Agendador
Criação de
análises visuais
Camadadedados
(QIX) Motor
Qlik
Management
Console
Repositório
Desenvolvedores
Administradores
Users HTML5 Web Client
Dados
Governados,
Métricas, e
Visualização
Custom API Apps
and Extensions
Base de dados
Arquitetura Qlik
Portfólio de serviços agregados
Portifólio de Serviços Agregados
Foundation QIX Associative Engine
EnterpriseCloudDesktop
Value Added Services
Applications
Services Ecosystem
Publisher
Test Server
& Premium Connectors
Características do
QlikView
Altamente Customizado
QlikView
Aplicação feita 100% em QlikView
Todos os recursos disponíveis (filtros, Drill up e drill down e outros)
Multi-Linguas
QlikView
Possibilidade de tradução de todas as informações
SPARKLINE (Gráficos em Tabelas)
QlikView
Tabelas com gráficos na linha. Melhora a visualização da informação
Dashboards com mais
informações
QlikView
Altamente Customizado
Dashboard com muitos indicadores
Alta Customização em
Tabelas
QlikView
Possibilidade de tradução de todas as informações
Tabela dinâmica com sparkline
Share Session
QlikView
• O convidado não precisa ter licenças QlikView
• Toda ação do hoster é aplicada também na
visão do convidado.
• Toda ação do convidado é aplicada também
na visão do hoster
Com o recurso Share Session é possível compartilhar sua visão com quantas
pessoas forem necessário.
Share Session
Comunicação (Notas)
QlikView
Possibilidade de criar notas, observações e análises sobre os resultados de cada gráfico
Características do
Qlik Sense
Dashboards com menos
informações e mais “clean”
Qlik Sense
Possibilidade de apresentar como PowerPoint e ainda função ”Ir para recurso” que abre a aplicação Qlik Sense em questão
Qlik Sense utiliza conceitos de clean, “Menos é mais”.
Self-Service
Qlik Sense
Facilidade na criação de dashboards. Possibilita até usuário de negócios criar o seu próprio
Modelagem por bolhas e
Load Smart
Qlik Sense
Qlik Sense facilita o usuário de negócio a criar suas próprias aplicações. Encontra, automaticamente, associações entre planilhas
e campos.
StoryTelling
Qlik Sense
Possibilidade de tradução de todas as informações
Apresentação/Comunicação
Qlik Sense
Possibilidade de apresentar como PowerPoint e ainda função ”Ir para recurso” que abre a aplicação Qlik Sense em questão
Dificuldade em trabalhar com
tabelas complexasQlik Sense
Qlik Sense tem uma certa dificuldade em explorar tabelas
Em alguns casos fica difícil a leitura
Até o momento, não permite o sparkline (gráficos em linhas da tabela) e também ainda não permite o ajuste do tamanho da
coluna para uma melhor visualização
Mobilidade
Qlik Sense
• Visualização em diversos
dispositivos móveis
– Qlik Sense permite que a mesma
aplicação seja acessada pelo mesmo
usuário e em até 5 dispositivos
diferentes
– Toda ação feita em um dispositivo,
reflete na visão de todos os outros.
O Qlik Sense é altamente recomendado para dispositivos móveis, tablets e
smartphones.
Mobilidade
Cloud
Qlik Sense
• Compartilhamento com até 5 usuários
• Permite edição da aplicação direto na nuvem
O Qlik Sense é integrado com o Qlik Cloud.
Cloud
Reconhecimentos da
Qlik
Gartner Reconhece Qlik® Como Líder do Quadrante Mágico de B.I.. e
Também no Segmento de Plataforma Analítica
Source: Gartner,Magic Quadrant for BusinessIntelligenceand Analytics
Platforms,Josh Parenteau et al, February 4, 2016. The Gartner documentis
availableupon request fromQlik.
Plataforma Business Intelligence, Q3 2015
Qlik® é Líder Também no The Forrester Wave™:
Source: The ForresterWave™: Agile BusinessIntelligencePlatforms,Q3 2015, ForresterResearch,Inc., September28, 2015. The ForresterWave™ is copyrightedby ForresterResearch, Inc. Forresterand ForresterWave™are trademarksof
ForresterResearch,Inc. The ForresterWave™ is a graphicalrepresentation of Forrester'scall on a market and is plotted using a detailed spreadsheetwith exposed scores,weightings,and comments.Forresterdoes not endorseany vendor,
product,or servicedepicted in the ForresterWave. Informationis based on best availableresources.Opinionsreflectjudgment at the time and are subject to change.
Premiações da
Qlik
Validação consistente de respeitados analistas da indústria
5 Years
in a Row
Gartner Magic
Quadrant Leader
2011, 2012, 2013, 2014,
2015
Qlik® Earns Top Ranking for Business Benefits
Source: BARC, BARC BI Survey 15, October 19, 2015
Qlik® Earns Top Ranking for Product Satisfaction
Source: BARC, BARC BI Survey 15, October 19, 2015
Qlik® Earns Top Ranking for Performance
Source: BARC, BARC BI Survey 15, October 19, 2015
Read Gartner’s take on Qlik Sense®
The Gartner document is available upon request from Qlik.
Qlik Releases Qlik Sense 2.0, Expands BI Portfolio
http://gtnr.it/1W2UMzB
36,000 clientes satisfeitos
Comunicações,
energia e serviços
públicos
Manufatura e Alta
Tecnologia
Serviços financeiros Saúde Varejo e serviços Setor público
Obrigado
contato@paralelocs.com.br

Contenu connexe

Tendances

Orchestration and provisioning architecture for effective service management
Orchestration and provisioning architecture for effective service managementOrchestration and provisioning architecture for effective service management
Orchestration and provisioning architecture for effective service managementAlan McSweeney
 
Tableau free tutorial
Tableau free tutorialTableau free tutorial
Tableau free tutorialtekslate1
 
How to govern and secure a Data Mesh?
How to govern and secure a Data Mesh?How to govern and secure a Data Mesh?
How to govern and secure a Data Mesh?confluent
 
Evolution from EDA to Data Mesh: Data in Motion
Evolution from EDA to Data Mesh: Data in MotionEvolution from EDA to Data Mesh: Data in Motion
Evolution from EDA to Data Mesh: Data in Motionconfluent
 
Intuit's Data Mesh - Data Mesh Leaning Community meetup 5.13.2021
Intuit's Data Mesh - Data Mesh Leaning Community meetup 5.13.2021Intuit's Data Mesh - Data Mesh Leaning Community meetup 5.13.2021
Intuit's Data Mesh - Data Mesh Leaning Community meetup 5.13.2021Tristan Baker
 
Differentiate Big Data vs Data Warehouse use cases for a cloud solution
Differentiate Big Data vs Data Warehouse use cases for a cloud solutionDifferentiate Big Data vs Data Warehouse use cases for a cloud solution
Differentiate Big Data vs Data Warehouse use cases for a cloud solutionJames Serra
 
Google Vertex AI
Google Vertex AIGoogle Vertex AI
Google Vertex AIVikasBisoi
 
Qlik Sense for Beginners - www.techstuffy.com - QlikView Next Generation
Qlik Sense for Beginners - www.techstuffy.com - QlikView Next GenerationQlik Sense for Beginners - www.techstuffy.com - QlikView Next Generation
Qlik Sense for Beginners - www.techstuffy.com - QlikView Next GenerationPractical QlikView
 
Enterprise Architecture for Dummies - TOGAF 9 enterprise architecture overview
Enterprise Architecture for Dummies - TOGAF 9 enterprise architecture overviewEnterprise Architecture for Dummies - TOGAF 9 enterprise architecture overview
Enterprise Architecture for Dummies - TOGAF 9 enterprise architecture overviewWinton Winton
 
SERVICENOW PPT BY PAVANKUMAR
SERVICENOW PPT BY PAVANKUMARSERVICENOW PPT BY PAVANKUMAR
SERVICENOW PPT BY PAVANKUMARPavan Kumar
 
MoP - Management of Portfolios
MoP - Management of PortfoliosMoP - Management of Portfolios
MoP - Management of Portfoliosnetmind
 
Value analysis with Value Stream and Capability modeling
Value analysis with Value Stream and Capability modelingValue analysis with Value Stream and Capability modeling
Value analysis with Value Stream and Capability modelingCOMPETENSIS
 
Deep Dive into Azure Data Factory v2
Deep Dive into Azure Data Factory v2Deep Dive into Azure Data Factory v2
Deep Dive into Azure Data Factory v2Eric Bragas
 
Vertex AI - Unified ML Platform for the entire AI workflow on Google Cloud
Vertex AI - Unified ML Platform for the entire AI workflow on Google CloudVertex AI - Unified ML Platform for the entire AI workflow on Google Cloud
Vertex AI - Unified ML Platform for the entire AI workflow on Google CloudMárton Kodok
 

Tendances (20)

Orchestration and provisioning architecture for effective service management
Orchestration and provisioning architecture for effective service managementOrchestration and provisioning architecture for effective service management
Orchestration and provisioning architecture for effective service management
 
Tableau free tutorial
Tableau free tutorialTableau free tutorial
Tableau free tutorial
 
How to govern and secure a Data Mesh?
How to govern and secure a Data Mesh?How to govern and secure a Data Mesh?
How to govern and secure a Data Mesh?
 
TOGAF Complete Slide Deck
TOGAF Complete Slide DeckTOGAF Complete Slide Deck
TOGAF Complete Slide Deck
 
Evolution from EDA to Data Mesh: Data in Motion
Evolution from EDA to Data Mesh: Data in MotionEvolution from EDA to Data Mesh: Data in Motion
Evolution from EDA to Data Mesh: Data in Motion
 
Archimate Viewpoints
Archimate ViewpointsArchimate Viewpoints
Archimate Viewpoints
 
Intuit's Data Mesh - Data Mesh Leaning Community meetup 5.13.2021
Intuit's Data Mesh - Data Mesh Leaning Community meetup 5.13.2021Intuit's Data Mesh - Data Mesh Leaning Community meetup 5.13.2021
Intuit's Data Mesh - Data Mesh Leaning Community meetup 5.13.2021
 
Differentiate Big Data vs Data Warehouse use cases for a cloud solution
Differentiate Big Data vs Data Warehouse use cases for a cloud solutionDifferentiate Big Data vs Data Warehouse use cases for a cloud solution
Differentiate Big Data vs Data Warehouse use cases for a cloud solution
 
Togaf 9 template Preliminary Phase architecture principles
Togaf 9 template  Preliminary Phase architecture principlesTogaf 9 template  Preliminary Phase architecture principles
Togaf 9 template Preliminary Phase architecture principles
 
Mdm: why, when, how
Mdm: why, when, howMdm: why, when, how
Mdm: why, when, how
 
Google Vertex AI
Google Vertex AIGoogle Vertex AI
Google Vertex AI
 
Qlik Sense for Beginners - www.techstuffy.com - QlikView Next Generation
Qlik Sense for Beginners - www.techstuffy.com - QlikView Next GenerationQlik Sense for Beginners - www.techstuffy.com - QlikView Next Generation
Qlik Sense for Beginners - www.techstuffy.com - QlikView Next Generation
 
Enterprise Architecture for Dummies - TOGAF 9 enterprise architecture overview
Enterprise Architecture for Dummies - TOGAF 9 enterprise architecture overviewEnterprise Architecture for Dummies - TOGAF 9 enterprise architecture overview
Enterprise Architecture for Dummies - TOGAF 9 enterprise architecture overview
 
SERVICENOW PPT BY PAVANKUMAR
SERVICENOW PPT BY PAVANKUMARSERVICENOW PPT BY PAVANKUMAR
SERVICENOW PPT BY PAVANKUMAR
 
MoP - Management of Portfolios
MoP - Management of PortfoliosMoP - Management of Portfolios
MoP - Management of Portfolios
 
Value analysis with Value Stream and Capability modeling
Value analysis with Value Stream and Capability modelingValue analysis with Value Stream and Capability modeling
Value analysis with Value Stream and Capability modeling
 
Deep Dive into Azure Data Factory v2
Deep Dive into Azure Data Factory v2Deep Dive into Azure Data Factory v2
Deep Dive into Azure Data Factory v2
 
Vertex AI - Unified ML Platform for the entire AI workflow on Google Cloud
Vertex AI - Unified ML Platform for the entire AI workflow on Google CloudVertex AI - Unified ML Platform for the entire AI workflow on Google Cloud
Vertex AI - Unified ML Platform for the entire AI workflow on Google Cloud
 
Salesforce Einstein Analytics
Salesforce Einstein AnalyticsSalesforce Einstein Analytics
Salesforce Einstein Analytics
 
Oracle Analytics Cloud
Oracle Analytics CloudOracle Analytics Cloud
Oracle Analytics Cloud
 

Similaire à História completa por trás de seus dados

Qmeeting Conceitos_qlik_sense_Pablo
Qmeeting Conceitos_qlik_sense_PabloQmeeting Conceitos_qlik_sense_Pablo
Qmeeting Conceitos_qlik_sense_PabloRoberto Oliveira
 
Apresentação Executiva Paralelo CS - Qlik - Business Intelligence
Apresentação Executiva Paralelo CS - Qlik - Business IntelligenceApresentação Executiva Paralelo CS - Qlik - Business Intelligence
Apresentação Executiva Paralelo CS - Qlik - Business IntelligenceLucas Magalhães
 
Apresentação Institucional - Qlik Sense 3.0
Apresentação Institucional - Qlik Sense 3.0Apresentação Institucional - Qlik Sense 3.0
Apresentação Institucional - Qlik Sense 3.0Lucas Magalhães
 
Trabalho BI Qlikview
Trabalho BI QlikviewTrabalho BI Qlikview
Trabalho BI QlikviewJose Silva
 
Introdução ao Qlik Sense® Cloud
Introdução ao Qlik Sense® CloudIntrodução ao Qlik Sense® Cloud
Introdução ao Qlik Sense® CloudQlik
 
Business Discovery e suas ferramentas
Business Discovery e suas ferramentasBusiness Discovery e suas ferramentas
Business Discovery e suas ferramentasRoberto Oliveira
 
Trabalho BI Qlikview
Trabalho BI QlikviewTrabalho BI Qlikview
Trabalho BI QlikviewJose Silva
 
Apresentação Paralelo CS - Business Intelligence com Qlik
Apresentação Paralelo CS - Business Intelligence com QlikApresentação Paralelo CS - Business Intelligence com Qlik
Apresentação Paralelo CS - Business Intelligence com QlikLucas Magalhães
 
Boas Prática de ETL QLik
Boas Prática de ETL QLikBoas Prática de ETL QLik
Boas Prática de ETL QLikVictor Bertoldo
 
MIT - Estudo de Caso utilizando Cloud & DevOps
MIT - Estudo de Caso utilizando Cloud & DevOps  MIT - Estudo de Caso utilizando Cloud & DevOps
MIT - Estudo de Caso utilizando Cloud & DevOps Caio Candido
 
Arquitetura de Informação
Arquitetura de InformaçãoArquitetura de Informação
Arquitetura de InformaçãoMelqui Jr
 
SaaS - Software como Serviço
SaaS - Software como ServiçoSaaS - Software como Serviço
SaaS - Software como ServiçoRicardo Saldanha
 
Microsoft Azure: Fundação para Transformação Digital
Microsoft Azure: Fundação para Transformação DigitalMicrosoft Azure: Fundação para Transformação Digital
Microsoft Azure: Fundação para Transformação DigitalRichard Chaves
 
Estratégia Integrada na Nuvem para Varejo
Estratégia Integrada na Nuvem para VarejoEstratégia Integrada na Nuvem para Varejo
Estratégia Integrada na Nuvem para VarejoOracle Retail
 
WSO2 - Visão Geral de Negócios
WSO2 - Visão Geral de NegóciosWSO2 - Visão Geral de Negócios
WSO2 - Visão Geral de NegóciosEdgar Silva
 
Eduardo Rocha - Criando produtos invisíveis
Eduardo Rocha - Criando produtos invisíveis   Eduardo Rocha - Criando produtos invisíveis
Eduardo Rocha - Criando produtos invisíveis Agile Trends
 

Similaire à História completa por trás de seus dados (20)

Qmeeting Conceitos_qlik_sense_Pablo
Qmeeting Conceitos_qlik_sense_PabloQmeeting Conceitos_qlik_sense_Pablo
Qmeeting Conceitos_qlik_sense_Pablo
 
Qmeeting Experts Hands on
Qmeeting Experts Hands onQmeeting Experts Hands on
Qmeeting Experts Hands on
 
Apresentação Executiva Paralelo CS - Qlik - Business Intelligence
Apresentação Executiva Paralelo CS - Qlik - Business IntelligenceApresentação Executiva Paralelo CS - Qlik - Business Intelligence
Apresentação Executiva Paralelo CS - Qlik - Business Intelligence
 
Apresentação Institucional - Qlik Sense 3.0
Apresentação Institucional - Qlik Sense 3.0Apresentação Institucional - Qlik Sense 3.0
Apresentação Institucional - Qlik Sense 3.0
 
Trabalho BI Qlikview
Trabalho BI QlikviewTrabalho BI Qlikview
Trabalho BI Qlikview
 
Introdução ao Qlik Sense® Cloud
Introdução ao Qlik Sense® CloudIntrodução ao Qlik Sense® Cloud
Introdução ao Qlik Sense® Cloud
 
Business Discovery e suas ferramentas
Business Discovery e suas ferramentasBusiness Discovery e suas ferramentas
Business Discovery e suas ferramentas
 
Trabalho BI Qlikview
Trabalho BI QlikviewTrabalho BI Qlikview
Trabalho BI Qlikview
 
QlikView In Action - Do BI ao Business Discovery!…
QlikView In Action - Do BI ao Business Discovery!…QlikView In Action - Do BI ao Business Discovery!…
QlikView In Action - Do BI ao Business Discovery!…
 
Whitepapper oportunidades-cloud-computing-para-empresas
Whitepapper oportunidades-cloud-computing-para-empresasWhitepapper oportunidades-cloud-computing-para-empresas
Whitepapper oportunidades-cloud-computing-para-empresas
 
Apresentação Paralelo CS - Business Intelligence com Qlik
Apresentação Paralelo CS - Business Intelligence com QlikApresentação Paralelo CS - Business Intelligence com Qlik
Apresentação Paralelo CS - Business Intelligence com Qlik
 
Boas Prática de ETL QLik
Boas Prática de ETL QLikBoas Prática de ETL QLik
Boas Prática de ETL QLik
 
MIT - Estudo de Caso utilizando Cloud & DevOps
MIT - Estudo de Caso utilizando Cloud & DevOps  MIT - Estudo de Caso utilizando Cloud & DevOps
MIT - Estudo de Caso utilizando Cloud & DevOps
 
QlikView fornece respostas para sua empresa
QlikView fornece respostas para sua empresa QlikView fornece respostas para sua empresa
QlikView fornece respostas para sua empresa
 
Arquitetura de Informação
Arquitetura de InformaçãoArquitetura de Informação
Arquitetura de Informação
 
SaaS - Software como Serviço
SaaS - Software como ServiçoSaaS - Software como Serviço
SaaS - Software como Serviço
 
Microsoft Azure: Fundação para Transformação Digital
Microsoft Azure: Fundação para Transformação DigitalMicrosoft Azure: Fundação para Transformação Digital
Microsoft Azure: Fundação para Transformação Digital
 
Estratégia Integrada na Nuvem para Varejo
Estratégia Integrada na Nuvem para VarejoEstratégia Integrada na Nuvem para Varejo
Estratégia Integrada na Nuvem para Varejo
 
WSO2 - Visão Geral de Negócios
WSO2 - Visão Geral de NegóciosWSO2 - Visão Geral de Negócios
WSO2 - Visão Geral de Negócios
 
Eduardo Rocha - Criando produtos invisíveis
Eduardo Rocha - Criando produtos invisíveis   Eduardo Rocha - Criando produtos invisíveis
Eduardo Rocha - Criando produtos invisíveis
 

Plus de Lucas Magalhães

Business Intelligence - Visualização de dados para tomada de decisão
Business Intelligence - Visualização de dados para tomada de decisãoBusiness Intelligence - Visualização de dados para tomada de decisão
Business Intelligence - Visualização de dados para tomada de decisãoLucas Magalhães
 
Apresentação do bpm'online | Inteligência em Negócios | Paralelo CS
Apresentação do bpm'online | Inteligência em Negócios | Paralelo CSApresentação do bpm'online | Inteligência em Negócios | Paralelo CS
Apresentação do bpm'online | Inteligência em Negócios | Paralelo CSLucas Magalhães
 
Apresentação bpm'online serviços
Apresentação bpm'online serviçosApresentação bpm'online serviços
Apresentação bpm'online serviçosLucas Magalhães
 
Case inframerica - Qlik Day
Case inframerica - Qlik DayCase inframerica - Qlik Day
Case inframerica - Qlik DayLucas Magalhães
 
Como o PMBOK pode trabalhar em conjunto com o método dinâmico da Startup Enxuta.
Como o PMBOK pode trabalhar em conjunto com o método dinâmico da Startup Enxuta.Como o PMBOK pode trabalhar em conjunto com o método dinâmico da Startup Enxuta.
Como o PMBOK pode trabalhar em conjunto com o método dinâmico da Startup Enxuta.Lucas Magalhães
 

Plus de Lucas Magalhães (6)

Business Intelligence - Visualização de dados para tomada de decisão
Business Intelligence - Visualização de dados para tomada de decisãoBusiness Intelligence - Visualização de dados para tomada de decisão
Business Intelligence - Visualização de dados para tomada de decisão
 
Apresentação do bpm'online | Inteligência em Negócios | Paralelo CS
Apresentação do bpm'online | Inteligência em Negócios | Paralelo CSApresentação do bpm'online | Inteligência em Negócios | Paralelo CS
Apresentação do bpm'online | Inteligência em Negócios | Paralelo CS
 
Apresentação bpm'online serviços
Apresentação bpm'online serviçosApresentação bpm'online serviços
Apresentação bpm'online serviços
 
Case inframerica - Qlik Day
Case inframerica - Qlik DayCase inframerica - Qlik Day
Case inframerica - Qlik Day
 
Case centauro - QlikDay
Case centauro - QlikDayCase centauro - QlikDay
Case centauro - QlikDay
 
Como o PMBOK pode trabalhar em conjunto com o método dinâmico da Startup Enxuta.
Como o PMBOK pode trabalhar em conjunto com o método dinâmico da Startup Enxuta.Como o PMBOK pode trabalhar em conjunto com o método dinâmico da Startup Enxuta.
Como o PMBOK pode trabalhar em conjunto com o método dinâmico da Startup Enxuta.
 

História completa por trás de seus dados

Notes de l'éditeur

  1. However, visualization alone is not the answer.   Turning data into pretty pictures is not enough. To solve real business problems you need to poke and prod and dig deeper into the data to see how the parts are related to the whole. Simple visualization tools can’t do that.   Yes, visualizations are important, just not sufficient. But they are just one step in the journey of data exploration and discovery. Customers need more.
  2. However, visualization alone is not the answer.   Turning data into pretty pictures is not enough. To solve real business problems you need to poke and prod and dig deeper into the data to see how the parts are related to the whole. Simple visualization tools can’t do that.   Yes, visualizations are important, just not sufficient. But they are just one step in the journey of data exploration and discovery. Customers need more.
  3. However, visualization alone is not the answer.   Turning data into pretty pictures is not enough. To solve real business problems you need to poke and prod and dig deeper into the data to see how the parts are related to the whole. Simple visualization tools can’t do that.   Yes, visualizations are important, just not sufficient. But they are just one step in the journey of data exploration and discovery. Customers need more.
  4. However, visualization alone is not the answer.   Turning data into pretty pictures is not enough. To solve real business problems you need to poke and prod and dig deeper into the data to see how the parts are related to the whole. Simple visualization tools can’t do that.   Yes, visualizations are important, just not sufficient. But they are just one step in the journey of data exploration and discovery. Customers need more.
  5. However, visualization alone is not the answer.   Turning data into pretty pictures is not enough. To solve real business problems you need to poke and prod and dig deeper into the data to see how the parts are related to the whole. Simple visualization tools can’t do that.   Yes, visualizations are important, just not sufficient. But they are just one step in the journey of data exploration and discovery. Customers need more.
  6. However, visualization alone is not the answer.   Turning data into pretty pictures is not enough. To solve real business problems you need to poke and prod and dig deeper into the data to see how the parts are related to the whole. Simple visualization tools can’t do that.   Yes, visualizations are important, just not sufficient. But they are just one step in the journey of data exploration and discovery. Customers need more.
  7. However, visualization alone is not the answer.   Turning data into pretty pictures is not enough. To solve real business problems you need to poke and prod and dig deeper into the data to see how the parts are related to the whole. Simple visualization tools can’t do that.   Yes, visualizations are important, just not sufficient. But they are just one step in the journey of data exploration and discovery. Customers need more.
  8. However, visualization alone is not the answer.   Turning data into pretty pictures is not enough. To solve real business problems you need to poke and prod and dig deeper into the data to see how the parts are related to the whole. Simple visualization tools can’t do that.   Yes, visualizations are important, just not sufficient. But they are just one step in the journey of data exploration and discovery. Customers need more.
  9. However, visualization alone is not the answer.   Turning data into pretty pictures is not enough. To solve real business problems you need to poke and prod and dig deeper into the data to see how the parts are related to the whole. Simple visualization tools can’t do that.   Yes, visualizations are important, just not sufficient. But they are just one step in the journey of data exploration and discovery. Customers need more.
  10. However, visualization alone is not the answer.   Turning data into pretty pictures is not enough. To solve real business problems you need to poke and prod and dig deeper into the data to see how the parts are related to the whole. Simple visualization tools can’t do that.   Yes, visualizations are important, just not sufficient. But they are just one step in the journey of data exploration and discovery. Customers need more.
  11. However, visualization alone is not the answer.   Turning data into pretty pictures is not enough. To solve real business problems you need to poke and prod and dig deeper into the data to see how the parts are related to the whole. Simple visualization tools can’t do that.   Yes, visualizations are important, just not sufficient. But they are just one step in the journey of data exploration and discovery. Customers need more.
  12. However, visualization alone is not the answer.   Turning data into pretty pictures is not enough. To solve real business problems you need to poke and prod and dig deeper into the data to see how the parts are related to the whole. Simple visualization tools can’t do that.   Yes, visualizations are important, just not sufficient. But they are just one step in the journey of data exploration and discovery. Customers need more.
  13. However, visualization alone is not the answer.   Turning data into pretty pictures is not enough. To solve real business problems you need to poke and prod and dig deeper into the data to see how the parts are related to the whole. Simple visualization tools can’t do that.   Yes, visualizations are important, just not sufficient. But they are just one step in the journey of data exploration and discovery. Customers need more.
  14. However, visualization alone is not the answer.   Turning data into pretty pictures is not enough. To solve real business problems you need to poke and prod and dig deeper into the data to see how the parts are related to the whole. Simple visualization tools can’t do that.   Yes, visualizations are important, just not sufficient. But they are just one step in the journey of data exploration and discovery. Customers need more.
  15. However, visualization alone is not the answer.   Turning data into pretty pictures is not enough. To solve real business problems you need to poke and prod and dig deeper into the data to see how the parts are related to the whole. Simple visualization tools can’t do that.   Yes, visualizations are important, just not sufficient. But they are just one step in the journey of data exploration and discovery. Customers need more.
  16. However, visualization alone is not the answer.   Turning data into pretty pictures is not enough. To solve real business problems you need to poke and prod and dig deeper into the data to see how the parts are related to the whole. Simple visualization tools can’t do that.   Yes, visualizations are important, just not sufficient. But they are just one step in the journey of data exploration and discovery. Customers need more.
  17. However, visualization alone is not the answer.   Turning data into pretty pictures is not enough. To solve real business problems you need to poke and prod and dig deeper into the data to see how the parts are related to the whole. Simple visualization tools can’t do that.   Yes, visualizations are important, just not sufficient. But they are just one step in the journey of data exploration and discovery. Customers need more.
  18. However, visualization alone is not the answer.   Turning data into pretty pictures is not enough. To solve real business problems you need to poke and prod and dig deeper into the data to see how the parts are related to the whole. Simple visualization tools can’t do that.   Yes, visualizations are important, just not sufficient. But they are just one step in the journey of data exploration and discovery. Customers need more.
  19. However, visualization alone is not the answer.   Turning data into pretty pictures is not enough. To solve real business problems you need to poke and prod and dig deeper into the data to see how the parts are related to the whole. Simple visualization tools can’t do that.   Yes, visualizations are important, just not sufficient. But they are just one step in the journey of data exploration and discovery. Customers need more.
  20. However, visualization alone is not the answer.   Turning data into pretty pictures is not enough. To solve real business problems you need to poke and prod and dig deeper into the data to see how the parts are related to the whole. Simple visualization tools can’t do that.   Yes, visualizations are important, just not sufficient. But they are just one step in the journey of data exploration and discovery. Customers need more.
  21. However, visualization alone is not the answer.   Turning data into pretty pictures is not enough. To solve real business problems you need to poke and prod and dig deeper into the data to see how the parts are related to the whole. Simple visualization tools can’t do that.   Yes, visualizations are important, just not sufficient. But they are just one step in the journey of data exploration and discovery. Customers need more.
  22. However, visualization alone is not the answer.   Turning data into pretty pictures is not enough. To solve real business problems you need to poke and prod and dig deeper into the data to see how the parts are related to the whole. Simple visualization tools can’t do that.   Yes, visualizations are important, just not sufficient. But they are just one step in the journey of data exploration and discovery. Customers need more.
  23. However, visualization alone is not the answer.   Turning data into pretty pictures is not enough. To solve real business problems you need to poke and prod and dig deeper into the data to see how the parts are related to the whole. Simple visualization tools can’t do that.   Yes, visualizations are important, just not sufficient. But they are just one step in the journey of data exploration and discovery. Customers need more.
  24. However, visualization alone is not the answer.   Turning data into pretty pictures is not enough. To solve real business problems you need to poke and prod and dig deeper into the data to see how the parts are related to the whole. Simple visualization tools can’t do that.   Yes, visualizations are important, just not sufficient. But they are just one step in the journey of data exploration and discovery. Customers need more.
  25. However, visualization alone is not the answer.   Turning data into pretty pictures is not enough. To solve real business problems you need to poke and prod and dig deeper into the data to see how the parts are related to the whole. Simple visualization tools can’t do that.   Yes, visualizations are important, just not sufficient. But they are just one step in the journey of data exploration and discovery. Customers need more.
  26. However, visualization alone is not the answer.   Turning data into pretty pictures is not enough. To solve real business problems you need to poke and prod and dig deeper into the data to see how the parts are related to the whole. Simple visualization tools can’t do that.   Yes, visualizations are important, just not sufficient. But they are just one step in the journey of data exploration and discovery. Customers need more.
  27. However, visualization alone is not the answer.   Turning data into pretty pictures is not enough. To solve real business problems you need to poke and prod and dig deeper into the data to see how the parts are related to the whole. Simple visualization tools can’t do that.   Yes, visualizations are important, just not sufficient. But they are just one step in the journey of data exploration and discovery. Customers need more.
  28. However, visualization alone is not the answer.   Turning data into pretty pictures is not enough. To solve real business problems you need to poke and prod and dig deeper into the data to see how the parts are related to the whole. Simple visualization tools can’t do that.   Yes, visualizations are important, just not sufficient. But they are just one step in the journey of data exploration and discovery. Customers need more.
  29. However, visualization alone is not the answer.   Turning data into pretty pictures is not enough. To solve real business problems you need to poke and prod and dig deeper into the data to see how the parts are related to the whole. Simple visualization tools can’t do that.   Yes, visualizations are important, just not sufficient. But they are just one step in the journey of data exploration and discovery. Customers need more.
  30. However, visualization alone is not the answer.   Turning data into pretty pictures is not enough. To solve real business problems you need to poke and prod and dig deeper into the data to see how the parts are related to the whole. Simple visualization tools can’t do that.   Yes, visualizations are important, just not sufficient. But they are just one step in the journey of data exploration and discovery. Customers need more.
  31. However, visualization alone is not the answer.   Turning data into pretty pictures is not enough. To solve real business problems you need to poke and prod and dig deeper into the data to see how the parts are related to the whole. Simple visualization tools can’t do that.   Yes, visualizations are important, just not sufficient. But they are just one step in the journey of data exploration and discovery. Customers need more.
  32. However, visualization alone is not the answer.   Turning data into pretty pictures is not enough. To solve real business problems you need to poke and prod and dig deeper into the data to see how the parts are related to the whole. Simple visualization tools can’t do that.   Yes, visualizations are important, just not sufficient. But they are just one step in the journey of data exploration and discovery. Customers need more.
  33. However, visualization alone is not the answer.   Turning data into pretty pictures is not enough. To solve real business problems you need to poke and prod and dig deeper into the data to see how the parts are related to the whole. Simple visualization tools can’t do that.   Yes, visualizations are important, just not sufficient. But they are just one step in the journey of data exploration and discovery. Customers need more.
  34. However, visualization alone is not the answer.   Turning data into pretty pictures is not enough. To solve real business problems you need to poke and prod and dig deeper into the data to see how the parts are related to the whole. Simple visualization tools can’t do that.   Yes, visualizations are important, just not sufficient. But they are just one step in the journey of data exploration and discovery. Customers need more.
  35. However, visualization alone is not the answer.   Turning data into pretty pictures is not enough. To solve real business problems you need to poke and prod and dig deeper into the data to see how the parts are related to the whole. Simple visualization tools can’t do that.   Yes, visualizations are important, just not sufficient. But they are just one step in the journey of data exploration and discovery. Customers need more.
  36. However, visualization alone is not the answer.   Turning data into pretty pictures is not enough. To solve real business problems you need to poke and prod and dig deeper into the data to see how the parts are related to the whole. Simple visualization tools can’t do that.   Yes, visualizations are important, just not sufficient. But they are just one step in the journey of data exploration and discovery. Customers need more.
  37. However, visualization alone is not the answer.   Turning data into pretty pictures is not enough. To solve real business problems you need to poke and prod and dig deeper into the data to see how the parts are related to the whole. Simple visualization tools can’t do that.   Yes, visualizations are important, just not sufficient. But they are just one step in the journey of data exploration and discovery. Customers need more.
  38. However, visualization alone is not the answer.   Turning data into pretty pictures is not enough. To solve real business problems you need to poke and prod and dig deeper into the data to see how the parts are related to the whole. Simple visualization tools can’t do that.   Yes, visualizations are important, just not sufficient. But they are just one step in the journey of data exploration and discovery. Customers need more.
  39. Over the rest of this event you will hear many stories of what Qlik has done for customers, and how to get the most out of your data. We pioneered this modern era with our QlikView product, and now we’re setting the new standard for modern BI. We will continue to invest and innovate to help our customers be successful, because that’s the real mission.