The document summarizes and compares four data visualization tools: Tableau, Google Data Studio, Qlikview, and Datawrapper. It provides details on the features, chart types, advantages, and disadvantages of each tool. It also includes examples of how specific companies have used Qlikview and the typical needs of users for each tool. The document aims to help understand the proper use case for each product and what capabilities help make business decisions.
Radiant IT online training is a best online training institute for all software and networking course, we are expertise in Tableau online training, we are providing job opportunities after completion of course.
The document contains a quiz about big data analytics with 8 multiple choice questions. The questions cover topics such as the importance of analytics over just collecting data, data mining, selecting the right tools and skills for analytics projects, best practices for managing analytics programs, definitions of big data, considerations for linking different data sources, benefits of examining existing data, and the MapReduce programming framework. The document promotes learning big data technologies and being part of the big data revolution by taking the quiz.
This document provides answers to common interview questions about Tableau. It discusses the differences between .twb and .twbx file extensions, how to join and blend data, how to create calculated fields and sets, and how to schedule automated report refreshes. It also covers topics like shelves, groups, hierarchies, extracts, performance testing, and stories. The document aims to equip job candidates with knowledge of Tableau's core functionality and capabilities.
The document compares the leading data visualization tools Tableau, Power BI, and Qlik. It reviews the strengths, weaknesses, and unique features of each tool. Tableau is seen as the gold standard but is very expensive. Power BI is easy to use and affordable but best for Excel users. Qlik Sense has powerful scripting but a confusing licensing model. The document recommends tools based on cost, capabilities, and intended users.
Tableau training doc bnreddy call_09396725649Nagi Reddy B
This document provides a 30-day training schedule to learn advanced Tableau skills. It includes topics like connecting to different data sources, visual analytics, dashboards, calculations, advanced chart types, and Tableau Server. The schedule covers Tableau products, getting started, joining and blending data, parameters, efficiency tips, mapping, R integration, and what's new in Tableau Server 9. Resources like video tutorials are provided for each topic to help guide the training.
process that manages the data extracts and caches them in
memory for fast access.
Tableau
26
Architecture
Gateway / Load balancer: distributes requests from clients to application
servers. It provides high availability and scalability.
Customers: Tableau offers desktop, web and mobile clients to access
Tableau Server.
- Tableau Desktop: allows you to create and edit visualizations and
dashboards.
- Web interface: allows you to view and interact with published views.
- Tableau Mobile: optimized for mobile devices to view and interact with
published views.
Tableau
27
Technical Review
Tableau
28
Technical Review
Data Connectivity
- Connects to a
What are the most common aliments facing workers who need to create reports? How can you use Performance Canvas to cure these ailments and gain a competitive advantage?
Necto offers a fully web-based self-service BI platform with automated insights, notifications, and collaboration features, while Tableau is primarily a desktop tool with more limited web capabilities. Necto provides lower total cost of ownership through its single web interface and competitive pricing, while Tableau uses an expensive "land and expand" model. Gartner positions Necto as a visionary in its Magic Quadrant for delivering a next-generation governed data discovery experience.
Radiant IT online training is a best online training institute for all software and networking course, we are expertise in Tableau online training, we are providing job opportunities after completion of course.
The document contains a quiz about big data analytics with 8 multiple choice questions. The questions cover topics such as the importance of analytics over just collecting data, data mining, selecting the right tools and skills for analytics projects, best practices for managing analytics programs, definitions of big data, considerations for linking different data sources, benefits of examining existing data, and the MapReduce programming framework. The document promotes learning big data technologies and being part of the big data revolution by taking the quiz.
This document provides answers to common interview questions about Tableau. It discusses the differences between .twb and .twbx file extensions, how to join and blend data, how to create calculated fields and sets, and how to schedule automated report refreshes. It also covers topics like shelves, groups, hierarchies, extracts, performance testing, and stories. The document aims to equip job candidates with knowledge of Tableau's core functionality and capabilities.
The document compares the leading data visualization tools Tableau, Power BI, and Qlik. It reviews the strengths, weaknesses, and unique features of each tool. Tableau is seen as the gold standard but is very expensive. Power BI is easy to use and affordable but best for Excel users. Qlik Sense has powerful scripting but a confusing licensing model. The document recommends tools based on cost, capabilities, and intended users.
Tableau training doc bnreddy call_09396725649Nagi Reddy B
This document provides a 30-day training schedule to learn advanced Tableau skills. It includes topics like connecting to different data sources, visual analytics, dashboards, calculations, advanced chart types, and Tableau Server. The schedule covers Tableau products, getting started, joining and blending data, parameters, efficiency tips, mapping, R integration, and what's new in Tableau Server 9. Resources like video tutorials are provided for each topic to help guide the training.
process that manages the data extracts and caches them in
memory for fast access.
Tableau
26
Architecture
Gateway / Load balancer: distributes requests from clients to application
servers. It provides high availability and scalability.
Customers: Tableau offers desktop, web and mobile clients to access
Tableau Server.
- Tableau Desktop: allows you to create and edit visualizations and
dashboards.
- Web interface: allows you to view and interact with published views.
- Tableau Mobile: optimized for mobile devices to view and interact with
published views.
Tableau
27
Technical Review
Tableau
28
Technical Review
Data Connectivity
- Connects to a
What are the most common aliments facing workers who need to create reports? How can you use Performance Canvas to cure these ailments and gain a competitive advantage?
Necto offers a fully web-based self-service BI platform with automated insights, notifications, and collaboration features, while Tableau is primarily a desktop tool with more limited web capabilities. Necto provides lower total cost of ownership through its single web interface and competitive pricing, while Tableau uses an expensive "land and expand" model. Gartner positions Necto as a visionary in its Magic Quadrant for delivering a next-generation governed data discovery experience.
High impact data visualization with power view, power map, and power biHoàng Việt
This document provides an overview of Microsoft's self-service business intelligence solution, which consists of the Excel BI Toolkit and Power BI. The Excel BI Toolkit allows users to import and model data using Power Query, store and calculate data using PowerPivot, and create visualizations using Power View and Power Map. Power BI then enables users to share their analyses and insights on various devices via the cloud. The document outlines the key capabilities of each tool and how they work together to empower users to discover, prepare, analyze and present data without extensive IT support.
Frances Jones: "Tableau vs PowerBI"
THE SHOWDOWN! Two of the leading tools for data visualization come head-to-head in this presentation from Frances Jones. Frances is a leading expert and master in displaying quantitative information and has had many years of expertise using both of these tools to wow her clients. Come to hear her perspective on the strengths and weaknesses of both tools, as well as plenty of handy tips that will help you improve your viz skills.
About the Speaker:
Frances is a vivacious lover of data.
Big data consultant by day, data communicator & human behavioral enthusiast by night! She has had many years of experience across many visualization tools and platforms and is constantly pushing the boundaries on what is possible in this space.
Unifying the big data analytics stack by enabling ETL, OLAP, visualization, and collaboration via a single interface. Get an End To End implementation of The Modern Analytics Architecture.
Tableau Desktop is a data visualization software that allows users to connect to various data sources and create interactive dashboards, charts, and reports with an easy drag-and-drop interface. It provides powerful visualization and analysis capabilities along with the ability to publish results to the web or share via mobile apps. Tableau Desktop supports both individual and team use on desktop or server.
This document summarizes a presentation about SAP BusinessObjects 4.0 given by Andreas Forster. The presentation covers the value propositions of SAP BusinessObjects 4.0 including being easy to use, optimized for performance, and enabling real-time analytics. It describes the new components and features of BusinessObjects 4.0 such as in-memory computing, mobile BI, and data quality tools. It demonstrates the software through a live demo and concludes by emphasizing the unified platform and user experience provided by SAP BusinessObjects 4.0.
Data Visualisation & Analytics with Tableau (Beginner) - by Maria KoumandrakiOutreach Digital
This document outlines a 7 step process for creating data visualizations in Tableau. It includes an agenda, descriptions of each step, and demos. The 7 steps are: 1) Connecting to data, 2) Cleaning and preparing data, 3) Creating initial visualizations using Show Me or drag and drop, 4) Editing visualizations, 5) Analyzing data and creating additional visualizations, 6) Creating interactive dashboards, and 7) Sharing visualizations. The presenter leads attendees through examples on air pollution data and life expectancy data to demonstrate the process.
Enabling Governed Data Access with Tableau Data Server Tableau Software
Data Server is one of the most powerful tools within Tableau Server to promote security, governance, data exploration, and collaboration—all while hiding the complexity of your data architecture from business users. It allows you to centrally manage live connections or extracted data sets as well as database drivers. At the same time, Data Server enables business users to have trust and confidence that they are using the right data so they can explore it the way they want and discover new insights that drive business value. Learn how Data Server helps IT become a stronger business enabler with governed data access.
To provide a self serviced, web based , cloud hosted, easy to use, quick to deploy and cost effective data visualization tool for business users in addition to BI application developers
Power BI is a cloud-based business analytics service that allows users to connect to data from various sources, create interactive reports and dashboards, and share insights. It provides live dashboards, interactive reports, various data visualizations, mobile apps, natural language query capabilities, and tools for sharing content. Power BI can connect to SaaS solutions, on-premises data sources like SQL Server, Azure services, and Excel/Power BI Desktop files. It offers a single view of data regardless of source and brings BI capabilities to various users.
Ahmed Yasir Khan is a qualified trainer with over 16 years of experience in finance, IT, accounting software and business management. He specializes in training professionals on topics such as import/export, supply chain management, tax filing, ERP systems, databases, Microsoft Office, and financial modeling. As a visiting faculty member, he has trained thousands of professionals for various institutions.
The document discusses new features in QuickBooks 2012 including an express start for easy setup, ability to create a new company file from an existing template, archive or condense past data, improved reporting and integration with Excel, enhanced inventory management tools, and a new accountant center for efficient client work. It provides screenshots and explanations of each new
Working with Microsoft Power Business Inteligence Tools - Presented by AtidanDavid J Rosenthal
Power BI provides self-service business intelligence (BI) tools for data analysis and visualization. It includes Power Query for data discovery and transformation, Power Pivot for data modeling, Power View for interactive data visualization, and Power Map for geographical data visualization. These tools can be used with Excel, SharePoint, and mobile devices to enable users to analyze, visualize, and share insights from data. Power BI also offers collaboration features through an online dashboard and app.
This document provides an overview of a lunch presentation about using Microsoft Power BI to modernize reporting capabilities. The agenda includes an overview of Power BI, key concepts and latest connectors, new features, sharing and collaboration capabilities, and a demo. It discusses Power BI's free and paid Pro versions, and how the presenters' company can help clients get started with Power BI through starter kits or more complex accelerators.
Panorama Software provides a complete business intelligence solution that extends the Microsoft BI platform. It has over 1,500 customers worldwide and 15 years of innovation. Panorama's NovaView suite brings self-service BI tools, advanced analytics, and enhanced security to Microsoft SQL Server, Excel, and SharePoint. It also adds functionality to Microsoft PowerPivot, making the in-memory platform more powerful and enterprise ready. Panorama has been a strategic Microsoft partner for over 14 years and its solutions transform how organizations use BI.
https://gcomsolutions.co.uk/microsoft/microsoft-power-bi-training-courses/
Microsoft Power BI is a cloud-hosted, business intelligence
platform which makes business intelligence and advanced
analytics accessible to everyone
Why do Data Warehousing & Business Intelligence go hand in hand? Vineet Chaturvedi
The document provides an overview of data warehousing and business intelligence. It defines data warehousing as a separately maintained database used for analysis rather than transactions. The key properties of data warehouses are that they are subject-oriented, integrated, time-variant, and non-volatile. Business intelligence is defined as the set of techniques and tools used to transform operational data into meaningful and useful information for analysis. Common business intelligence categories are strategic and analytical. The document also provides overviews of data warehouse architecture, ER modeling, the open source ETL tool Talend, and the business intelligence tool Tableau.
This document provides an overview of new features and enhancements in SAP BusinessObjects BI 4.1. Key updates include simplified deployment tools, support for additional data sources and platforms, enhanced self-service capabilities, and improvements to visualization, collaboration, and mobile access. The document also summarizes new features for several SAP analytics products, including Lumira, Design Studio, Analysis for Office, and Mobile BI.
Power BI & Advanced Business Intelligence Tools Excel 2013 / 2016 By Spark Tr...Ahmed Yasir Khan
This document provides information about a two-day workshop on Power Pivot in Karachi and Lahore in September. The workshop investment is 30,000 Pakistani rupees excluding taxes. The facilitator is Ahmed Yasir Khan, who has 20 years of experience in finance and IT and has conducted many training sessions. The workshop will cover topics such as importing and transforming data, creating calculated fields and KPIs, and building dashboards using Power Pivot and Power View in Excel. Upon completion, participants will be able to import and manipulate data, create reports, use DAX functions, and distribute Power Pivot data.
This resume summarizes Rahul's experience working as a MicroStrategy developer for 7+ years. He has extensive experience building projects, reports, dashboards and other business intelligence tools using MicroStrategy software. Rahul also has experience installing, configuring and tuning MicroStrategy to optimize performance. His roles have involved requirements gathering, report design, testing and working with data teams to integrate data.
This document provides an overview of Tableau, a data visualization tool. It discusses what Tableau is, how it allows users to transform raw data into understandable visual formats without coding. It also covers the benefits of data visualization for decision making, customer relationships, and performance. The document outlines Tableau's product suite, advantages like handling large data and mobile support, disadvantages like report scheduling. It provides requirements for Tableau Desktop and Server and considers Tableau alternatives.
Ultimate Guide to Tableau: 5 Mind-boggling Advantages!Kavika Roy
https://www.datatobiz.com/blog/ultimate-guide-to-tableau/
For a modern-day business to flourish, data is proving to be an indispensable factor. It is now considered the new fuel for a company’s growth, making data scientists indispensable.
After a schedule breakdown, it was concluded that the data scientist spent only one day a week on average, participating in the activities that truly improve profitability.
Not anymore though. Firms that have been using business intelligence for data handling and analysis have seen a constant growth of the firm while also observing better productivity for data analysts.
High impact data visualization with power view, power map, and power biHoàng Việt
This document provides an overview of Microsoft's self-service business intelligence solution, which consists of the Excel BI Toolkit and Power BI. The Excel BI Toolkit allows users to import and model data using Power Query, store and calculate data using PowerPivot, and create visualizations using Power View and Power Map. Power BI then enables users to share their analyses and insights on various devices via the cloud. The document outlines the key capabilities of each tool and how they work together to empower users to discover, prepare, analyze and present data without extensive IT support.
Frances Jones: "Tableau vs PowerBI"
THE SHOWDOWN! Two of the leading tools for data visualization come head-to-head in this presentation from Frances Jones. Frances is a leading expert and master in displaying quantitative information and has had many years of expertise using both of these tools to wow her clients. Come to hear her perspective on the strengths and weaknesses of both tools, as well as plenty of handy tips that will help you improve your viz skills.
About the Speaker:
Frances is a vivacious lover of data.
Big data consultant by day, data communicator & human behavioral enthusiast by night! She has had many years of experience across many visualization tools and platforms and is constantly pushing the boundaries on what is possible in this space.
Unifying the big data analytics stack by enabling ETL, OLAP, visualization, and collaboration via a single interface. Get an End To End implementation of The Modern Analytics Architecture.
Tableau Desktop is a data visualization software that allows users to connect to various data sources and create interactive dashboards, charts, and reports with an easy drag-and-drop interface. It provides powerful visualization and analysis capabilities along with the ability to publish results to the web or share via mobile apps. Tableau Desktop supports both individual and team use on desktop or server.
This document summarizes a presentation about SAP BusinessObjects 4.0 given by Andreas Forster. The presentation covers the value propositions of SAP BusinessObjects 4.0 including being easy to use, optimized for performance, and enabling real-time analytics. It describes the new components and features of BusinessObjects 4.0 such as in-memory computing, mobile BI, and data quality tools. It demonstrates the software through a live demo and concludes by emphasizing the unified platform and user experience provided by SAP BusinessObjects 4.0.
Data Visualisation & Analytics with Tableau (Beginner) - by Maria KoumandrakiOutreach Digital
This document outlines a 7 step process for creating data visualizations in Tableau. It includes an agenda, descriptions of each step, and demos. The 7 steps are: 1) Connecting to data, 2) Cleaning and preparing data, 3) Creating initial visualizations using Show Me or drag and drop, 4) Editing visualizations, 5) Analyzing data and creating additional visualizations, 6) Creating interactive dashboards, and 7) Sharing visualizations. The presenter leads attendees through examples on air pollution data and life expectancy data to demonstrate the process.
Enabling Governed Data Access with Tableau Data Server Tableau Software
Data Server is one of the most powerful tools within Tableau Server to promote security, governance, data exploration, and collaboration—all while hiding the complexity of your data architecture from business users. It allows you to centrally manage live connections or extracted data sets as well as database drivers. At the same time, Data Server enables business users to have trust and confidence that they are using the right data so they can explore it the way they want and discover new insights that drive business value. Learn how Data Server helps IT become a stronger business enabler with governed data access.
To provide a self serviced, web based , cloud hosted, easy to use, quick to deploy and cost effective data visualization tool for business users in addition to BI application developers
Power BI is a cloud-based business analytics service that allows users to connect to data from various sources, create interactive reports and dashboards, and share insights. It provides live dashboards, interactive reports, various data visualizations, mobile apps, natural language query capabilities, and tools for sharing content. Power BI can connect to SaaS solutions, on-premises data sources like SQL Server, Azure services, and Excel/Power BI Desktop files. It offers a single view of data regardless of source and brings BI capabilities to various users.
Ahmed Yasir Khan is a qualified trainer with over 16 years of experience in finance, IT, accounting software and business management. He specializes in training professionals on topics such as import/export, supply chain management, tax filing, ERP systems, databases, Microsoft Office, and financial modeling. As a visiting faculty member, he has trained thousands of professionals for various institutions.
The document discusses new features in QuickBooks 2012 including an express start for easy setup, ability to create a new company file from an existing template, archive or condense past data, improved reporting and integration with Excel, enhanced inventory management tools, and a new accountant center for efficient client work. It provides screenshots and explanations of each new
Working with Microsoft Power Business Inteligence Tools - Presented by AtidanDavid J Rosenthal
Power BI provides self-service business intelligence (BI) tools for data analysis and visualization. It includes Power Query for data discovery and transformation, Power Pivot for data modeling, Power View for interactive data visualization, and Power Map for geographical data visualization. These tools can be used with Excel, SharePoint, and mobile devices to enable users to analyze, visualize, and share insights from data. Power BI also offers collaboration features through an online dashboard and app.
This document provides an overview of a lunch presentation about using Microsoft Power BI to modernize reporting capabilities. The agenda includes an overview of Power BI, key concepts and latest connectors, new features, sharing and collaboration capabilities, and a demo. It discusses Power BI's free and paid Pro versions, and how the presenters' company can help clients get started with Power BI through starter kits or more complex accelerators.
Panorama Software provides a complete business intelligence solution that extends the Microsoft BI platform. It has over 1,500 customers worldwide and 15 years of innovation. Panorama's NovaView suite brings self-service BI tools, advanced analytics, and enhanced security to Microsoft SQL Server, Excel, and SharePoint. It also adds functionality to Microsoft PowerPivot, making the in-memory platform more powerful and enterprise ready. Panorama has been a strategic Microsoft partner for over 14 years and its solutions transform how organizations use BI.
https://gcomsolutions.co.uk/microsoft/microsoft-power-bi-training-courses/
Microsoft Power BI is a cloud-hosted, business intelligence
platform which makes business intelligence and advanced
analytics accessible to everyone
Why do Data Warehousing & Business Intelligence go hand in hand? Vineet Chaturvedi
The document provides an overview of data warehousing and business intelligence. It defines data warehousing as a separately maintained database used for analysis rather than transactions. The key properties of data warehouses are that they are subject-oriented, integrated, time-variant, and non-volatile. Business intelligence is defined as the set of techniques and tools used to transform operational data into meaningful and useful information for analysis. Common business intelligence categories are strategic and analytical. The document also provides overviews of data warehouse architecture, ER modeling, the open source ETL tool Talend, and the business intelligence tool Tableau.
This document provides an overview of new features and enhancements in SAP BusinessObjects BI 4.1. Key updates include simplified deployment tools, support for additional data sources and platforms, enhanced self-service capabilities, and improvements to visualization, collaboration, and mobile access. The document also summarizes new features for several SAP analytics products, including Lumira, Design Studio, Analysis for Office, and Mobile BI.
Power BI & Advanced Business Intelligence Tools Excel 2013 / 2016 By Spark Tr...Ahmed Yasir Khan
This document provides information about a two-day workshop on Power Pivot in Karachi and Lahore in September. The workshop investment is 30,000 Pakistani rupees excluding taxes. The facilitator is Ahmed Yasir Khan, who has 20 years of experience in finance and IT and has conducted many training sessions. The workshop will cover topics such as importing and transforming data, creating calculated fields and KPIs, and building dashboards using Power Pivot and Power View in Excel. Upon completion, participants will be able to import and manipulate data, create reports, use DAX functions, and distribute Power Pivot data.
This resume summarizes Rahul's experience working as a MicroStrategy developer for 7+ years. He has extensive experience building projects, reports, dashboards and other business intelligence tools using MicroStrategy software. Rahul also has experience installing, configuring and tuning MicroStrategy to optimize performance. His roles have involved requirements gathering, report design, testing and working with data teams to integrate data.
This document provides an overview of Tableau, a data visualization tool. It discusses what Tableau is, how it allows users to transform raw data into understandable visual formats without coding. It also covers the benefits of data visualization for decision making, customer relationships, and performance. The document outlines Tableau's product suite, advantages like handling large data and mobile support, disadvantages like report scheduling. It provides requirements for Tableau Desktop and Server and considers Tableau alternatives.
Ultimate Guide to Tableau: 5 Mind-boggling Advantages!Kavika Roy
https://www.datatobiz.com/blog/ultimate-guide-to-tableau/
For a modern-day business to flourish, data is proving to be an indispensable factor. It is now considered the new fuel for a company’s growth, making data scientists indispensable.
After a schedule breakdown, it was concluded that the data scientist spent only one day a week on average, participating in the activities that truly improve profitability.
Not anymore though. Firms that have been using business intelligence for data handling and analysis have seen a constant growth of the firm while also observing better productivity for data analysts.
10 Features of Tableau to Smoothen your Data Visualization Tasks.pptxSudhanshiBakre1
Tableau is a popular business intelligence tool that makes data visualization easy through features like drag-and-drop functionality. It allows users to create dashboards and reports from various data sources and share them collaboratively. Key features include advanced visualizations, maps, mobile compatibility, predictive analysis capabilities, and natural language search of data through Ask Data. Tableau's wide range of features make it effective for extracting insights from complex data.
Tableau is a data visualization tool that allows users to interactively visualize data from databases, online analytical processing cubes, spreadsheets, and cloud databases. It was founded in 2003 and acquired by Salesforce in 2019. Tableau uses drag-and-drop functionality to convert raw data into interactive dashboards, graphs, and other visualizations to help users understand and analyze data more easily. It has various products for different use cases and capabilities like data blending, real-time analysis, and collaboration. Tableau connects to data sources using connectors and allows visualization creation, sharing, and viewing.
An overview of the different sets of functionality of Tableau solution suite, and how it can address the many facets of a comprehensive data mining solution.
This document provides an introduction to data visualization and the Tableau tool. It discusses why visualization is important for understanding relationships in data and detecting trends. The key steps in visualization are outlined, such as preparing data, selecting a tool, transforming data, and identifying KPIs. Tableau is highlighted as a popular tool because it has an easy drag-and-drop interface and does not require programming. Tableau offers desktop, online, prep and server products. Examples are given of different chart types like bar graphs, scatter plots, and maps that can be created in Tableau.
Best Tableau course in Chandigarh is provided by Cbitss in Chandigarh which is best institute in Chandigarh for Tableau course
Read more information about Tableau course visit :- https://www.cbitss.net/tableau-training-in-chandigarh/
Top Big data Analytics tools: Emerging trends and Best practicesSpringPeople
This document discusses top big data analytics tools and emerging trends in big data analytics. It defines big data analytics as examining large data sets to find patterns and business insights. The document then covers several open source and commercial big data analytics tools, including Jaspersoft and Talend for reporting, Skytree for machine learning, Tableau for visualization, and Pentaho and Splunk for reporting. It emphasizes that tool selection is just one part of a big data project and that evaluating business value is also important.
A Tableau course is an educational program or training that is designed to teach individuals how to use Tableau, a popular data visualization and business intelligence software.
For more information visit: https://datamites.com/tableau-certification-course-training-chennai/
10 Features of Tableau to Smoothen your Data Visualization TasksSudhanshiBakre1
Tableau is a business intelligence and data visualization tool that allows users to easily organize, manage, visualize and understand data through drag-and-drop functionality without needing a technical background. It enables creation of dashboards and reports with various visualization types. Tableau also offers collaboration and sharing features, connects to various data sources, and provides predictive analysis and mobile compatibility. Overall, Tableau is a full-featured tool for extracting insights from data.
Jan 2017 Investment Recommendation for Tableaupaulchenuva
Tableau, the leading business intelligence and analytics company, is trading significantly lower than its fundamental value according to the document. The author believes Tableau's stock should be worth 80-120% higher than the current price. A downside scenario has the stock decreasing 15% to $38 in two years. The investment recommendation is to purchase Tableau stock as the author believes the company is well positioned in the fast growing big data and business intelligence market and has the potential for significant growth under new leadership.
tableau training in bangalore (inventateq)INVENTATEQ
Learn Tableau by working on Real Time Projects under senior Professionals. The Tableau courses listed equip you with skills for careers in data visualization, business intelligence, and analytics. In Inventateq, You Get In-Depth Practical Knowledge on each Tableau Topic.
The document discusses data visualization tools. It begins with an overview of data visualization, describing how visualizing data can help identify patterns and trends. It then discusses advantages like aiding quick understanding. Five types of data visualization are mentioned but not described. The document primarily focuses on reviewing popular data visualization tools like Tableau, FusionCharts, Datawrapper, Highcharts, Excel, Sisense, Plotly, and others. It provides brief descriptions of each tool's features and capabilities. In closing, it references additional resources on the topic.
Tableau (BI) interview questions version 2.0Visualect
Bespoke Tableau interview questions carefully picked from
real time interviews and curated by professionals with a zillion
hours of training and placement experience. One of the Highest Paying Jobs in the Industry.
This document discusses various interactive data visualization tools for business intelligence including Power BI, Tableau, and QlikView. It provides details on the features of each tool such as Power BI allowing users to analyze data from different sources through content packs and its open source capabilities. Tableau is highlighted as a leader in data visualization software that can produce interactive visualizations beyond typical BI solutions. The pros and cons of both Tableau and QlikView are outlined. New innovations from Tableau including new visualization types and grid views are also mentioned. The document concludes with information on Facets, an open source visualization tool from Google for machine learning.
Data visualization is the process of visually representing information to help understand it more quickly. It is important because visuals allow humans to understand complex information instantly. Data visualization helps businesses make better decisions faster by communicating more information than tables and requiring less memory. Tableau is a popular business intelligence tool that allows users to interactively visualize and analyze data through drag-and-drop functionality. It can connect to various data sources and produce many chart types to provide rapid, real-time analysis of large datasets.
A Tableau course is an educational program or training that is designed to teach individuals how to use Tableau, a popular data visualization and business intelligence software.
For more information visit: https://datamites.com/tableau-course-training-bangalore/
Data Visualization Trends - Next Steps for TableauArunima Gupta
Want answers to:
- What is data visualization?
- Why is it deemed disruptive in the field of analytics?
- What is Tableau?
Come view the slide deck!
Concludes with:
- Digital strategy recommendations for Tableau to become the winner in a winner-take-all-market
Although Tableau’s key advantage of the last word quality visual image of interactive information overshadows all alternative blessings, the list of tableau package edges the tool brings to businesses is sort of long.
4th Modern Marketing Reckoner by MMA Global India & Group M: 60+ experts on W...Social Samosa
The Modern Marketing Reckoner (MMR) is a comprehensive resource packed with POVs from 60+ industry leaders on how AI is transforming the 4 key pillars of marketing – product, place, price and promotions.
STATATHON: Unleashing the Power of Statistics in a 48-Hour Knowledge Extravag...sameer shah
"Join us for STATATHON, a dynamic 2-day event dedicated to exploring statistical knowledge and its real-world applications. From theory to practice, participants engage in intensive learning sessions, workshops, and challenges, fostering a deeper understanding of statistical methodologies and their significance in various fields."
End-to-end pipeline agility - Berlin Buzzwords 2024Lars Albertsson
We describe how we achieve high change agility in data engineering by eliminating the fear of breaking downstream data pipelines through end-to-end pipeline testing, and by using schema metaprogramming to safely eliminate boilerplate involved in changes that affect whole pipelines.
A quick poll on agility in changing pipelines from end to end indicated a huge span in capabilities. For the question "How long time does it take for all downstream pipelines to be adapted to an upstream change," the median response was 6 months, but some respondents could do it in less than a day. When quantitative data engineering differences between the best and worst are measured, the span is often 100x-1000x, sometimes even more.
A long time ago, we suffered at Spotify from fear of changing pipelines due to not knowing what the impact might be downstream. We made plans for a technical solution to test pipelines end-to-end to mitigate that fear, but the effort failed for cultural reasons. We eventually solved this challenge, but in a different context. In this presentation we will describe how we test full pipelines effectively by manipulating workflow orchestration, which enables us to make changes in pipelines without fear of breaking downstream.
Making schema changes that affect many jobs also involves a lot of toil and boilerplate. Using schema-on-read mitigates some of it, but has drawbacks since it makes it more difficult to detect errors early. We will describe how we have rejected this tradeoff by applying schema metaprogramming, eliminating boilerplate but keeping the protection of static typing, thereby further improving agility to quickly modify data pipelines without fear.
06-04-2024 - NYC Tech Week - Discussion on Vector Databases, Unstructured Data and AI
Round table discussion of vector databases, unstructured data, ai, big data, real-time, robots and Milvus.
A lively discussion with NJ Gen AI Meetup Lead, Prasad and Procure.FYI's Co-Found
06-04-2024 - NYC Tech Week - Discussion on Vector Databases, Unstructured Data and AI
Discussion on Vector Databases, Unstructured Data and AI
https://www.meetup.com/unstructured-data-meetup-new-york/
This meetup is for people working in unstructured data. Speakers will come present about related topics such as vector databases, LLMs, and managing data at scale. The intended audience of this group includes roles like machine learning engineers, data scientists, data engineers, software engineers, and PMs.This meetup was formerly Milvus Meetup, and is sponsored by Zilliz maintainers of Milvus.
The Building Blocks of QuestDB, a Time Series Databasejavier ramirez
Talk Delivered at Valencia Codes Meetup 2024-06.
Traditionally, databases have treated timestamps just as another data type. However, when performing real-time analytics, timestamps should be first class citizens and we need rich time semantics to get the most out of our data. We also need to deal with ever growing datasets while keeping performant, which is as fun as it sounds.
It is no wonder time-series databases are now more popular than ever before. Join me in this session to learn about the internal architecture and building blocks of QuestDB, an open source time-series database designed for speed. We will also review a history of some of the changes we have gone over the past two years to deal with late and unordered data, non-blocking writes, read-replicas, or faster batch ingestion.
Challenges of Nation Building-1.pptx with more important
IT7113 research project_group_4
1. IT 7113 Research Project
Report
Joselyn Giron
Ethan Chandler
December 15th 2019
2. • In this report we take a look at four visualization tools: Tableau,
Google Data Studio, Qlikview, and Datawrapper in order to clearly
explain the differences that each platform has.
• Business Intelligence operations in a company with low data
governance will need different capabilities than a business with
multiple DBA’s. Our goal for this report is to:
• Help better understand the proper use case for each product
• What abilities each platform provides that helps make business decisions.
• Better understand what business needs help make determinations for
data visualization tools and platforms
Abstract/executive
overview
4. • Tableau has become one of the most trusted names in data visualization
software. Its design is more user friendly than most and focuses on creating
visualizations and putting them together in Stories or Dashboards. Tableau can
scale to the user's ability because of its ability to make very good visualizations
for users with no experience but with an experienced user the possibilities of
Tableau make it one of the most powerful all-around data visualization tools
today.
• On the initial start Tableau offers a view like many visualization software's with
the option to import data. When this is done in multiple tables the tables can
be joined in any way the user sees fit. With this option larger schemas can be
used. Unlike quicker visualization tools Tableau can handle large data sets. Once
loaded the data source view shows the data in a column and row view where
the user can refine the data types and columns that will be needed for
visualization creation. Once the load is completed Tableau becomes a click and
drag interface with a UI that is easy to operate. By simply dragging data from
the dock on the left onto the canvas Tableau can begin to try and interpret the
type of chart the user is trying to create. If Tableau chooses incorrectly the user
can select from many different options.
Tableau
5. • When considering data visualization tools Tableau both delivers the ease of
design but also the ability to derive data from inside the software. This ease of
use transfers well to the syntax used in Tableau and it is its own version of a
standard development language. Simple syntax helps the user be able to create
and extrapolate on the data that the user has imported. Tableau gives the user
the ability to create these derived columns but also manipulate them with
measures and switch statements. All of these options make Tableau incredibly
flexible, especially for a power user. To be able to write proprietary filters and
create calculations that are not originally in the data inside of the visualization
tool is a very important feature included in Tableau. Most other visualization
software is not as user friendly when developing.
• Tableau is also set apart in its geographical abilities. With Esri mapping software
plugins Tableau now has one of the leaders in GIS software inside of its
analytical visualization tool. This pairing can help create maps easily without any
experience needed. Geographical data can be mapped easily because of
Tableau’s built in catalogue of mapping knowledge. Zip codes and Cities are
already there to be used in filled maps and heat maps.
Tableau
6. • Tableau in case studies on helping with management is considered a
logical next step from standard visualizations like ones available in
MacroSoft's Excel. (3) The ability to create visualizations without the need
for programming is a great strength of Tableau.
• Salesforce is a large CRM software company. Its recent acquisition of
Tableau it has created a greater market for Tableau. Having the link
between Tableau and Salesforce data will make visualizations for
businesses of that are already employing Tableau even easier. Salesforce is
in use in all business sizes and types and this makes Tableau even easier
to begin creating visualizations. A connection between the two will make
Tableau the choice of those already using Salesforce and create a
workflow between the two platforms so that the visualization developer
has to spend less time cleaning and transforming the data for use in
Tableau.
Tableau
7. Tableau- Sheet
Sheet
1. Data Source
2. Dimensions
3. Measures
4. Parameters
5. Filters Card
6. Marks Card
7. Columns &
Row Data
8. Visualization
10. • Google Data Studio is a web-based only data visualization tool that
allows raw data to be presented in interactive dashboards.
• It is a very recent tool- launched in 2016 and was released from
beta mode in 2018.
• Connectors to Google Data Sources- It is not only a single BI tool, it
can work with other tools from the Google Analytics Solutions data
(software suite for analyzing data)
• Allows the transformation of raw data into interactive visualizations
dashboards and has a library of built-in visual types
• It is a great tool for collaboration- can allow others to view and edit
the dashboard you are working with (the same way as other Google
tools such as Google Docs and Google Drive)
Google Data Studio
Features
11. Homepage
1. Button to create new file
2. Search bar
3. File type tabs (reports,
data sources, explorer)
4. Option icons
5. Filter file list
6. Report samples and
templates
7. File list
Google Data Studio
Features
12. Report Editor
1. Logo to return to Reports Home page
2. Menu bar
3. Embed reports, full screen, data
freshness, copy report, view/edit toggle,
google marketing platform product
switcher, google profile icon
4. Page controls
5. Undo/Redo
6. Add a chart button
7. Text, image, and shape tools
8. Data range, filter control, data controls
9. Share report button
10. Where charts will be displayed
11. Properties panel
12. Available fields panel
Google Data Studio
Features
13. Data Source editor
1. Data source name
2. Version history
3. Data source options
4. Copy
5. Create report
6. Add a field
7. Edit connection
8. Fields
9. Field type
10. Aggregation
11. Calculated fields
12.Refresh fields
13.Field count
Google Data Studio
Features
15. Google Data Studio
Chart Types
Treemaps
Other charts types include:
combo
scorecard
pie
pivot table
tables
16. • Fully integration with other
Google products
• Simple to use
• Great collaboration
capabilities
• Not as flexible when it
comes to dashboards
interactivity
• Cannot add custom visuals
only modify the ones available
• No functionality for mixing
and blending data- the data
itself must be ready for
visualization
• There is no desktop version
of this tool
Google Data Studio
Advantages and Disadvantages
17. • Qlikview is one the most frequent used analytics tools due to its
reliability and ease-of-use.
• Combines some of the industry standard tools (artificial intelligence,
internet of things, analytics engine) for efficient data analysis.
• Qlikview’s focus is on the user as receiver of data. Maintains
association between data and retrieval of relative items.
• Is a flexible software that allows customization to the look and feel
of any visualizations and dashboards.
• Enables conduction of data cleansing operations (extract, transform,
load engine)
Qlikview
18. • Manipulation of data associations automatically- can recognized
relationship between various data items in a set without any explicit
pre-configuration work by the user.
• Useful dashboard features that allow creation of advance
dashboards based on data from multiple sources.
• Faster queries and more memory-efficient due to keeping the data
input in memory, for example keeping data input in the RAM of a
server. Quick computation of aggregation instead of querying
precomputed aggregated values.
Qlikview- Features
20. Types of charts include:
bar
line
combo
scatter
pie
pivot table
straight table
Qlikview- Chart Types
To add a chart in QlikView right-click on dashboard, go to new
sheet object, and click on Chart option. The window above will
appear.
22. • Qlikview provides prebuilt
dashboards application and
associative dashboards that are
innovative and intuitive to use.
• Provides advanced search
capabilities by pulling data in-
memory with the use of the
associative dashboards
• Dashboard and reports are
easy to navigate
• Building reports requires high
level of developer skills and
have proficiency in SQL and
Qlikview’s query language
• Pricing can be expensive
and its pricing policy can be
confusing and not
straightforward
Qlikview- Advantages
and Disadvantages
23. • Pacific Life Insurance Company- a company that offers variety of life
insurance products, annuities, mutual funds, and services for both individuals
and businesses, choose to use Qlikview due to its user-driven solution.
• Tim Shaheen, VP of strategy and shared services in Pacific Life’s Life Division, stated that
the quick turnaround is a major benefit of Qlikview:
• “We don’t wait for everything to be fully fleshed out before we start putting information and
contents in front of folk, instead we iterate through designs to get to a solution.”
• Their company wanted a BI tool that would apply agile methodology as users would
build applications, test these, and then rebuild again.
• Before using Qlikview, the company was using Excel for static reports and Microsoft SQL
Server Reporting Services to generate reports.
• One of the challenges with Qlikview was with data governance- tracking data
transformation and lineage within the files has been difficult: to help manage the issue
used software called Informatica for metadata management and have staff member
specialize in data governance
• For the future, would like to expand Qlikview’s usage to other departments such as their
Finance Department.
Qlikview Case Studies
24. • Accounting firm called Armanino also decided to use QlikView in order
to solve it’s issue with spending days pulling data from various sources
for monthly meetings.
• Created an executive dashboard with metrics such as revenue,
realization, staff utilization, effective rate per hour, and accounts
receivable aging. The firm’s users can have different permissions rights.
• The results of using Qlikview was that it enable their users to better
understand their business in a real-time basis (uptick on key metrics that
impacted profitability).
Qlikview Case Studies
25. • DataWrapper is a data visualization tool that is open source and
available on the web or can be locally installed and run.
• Unlike the larger data visualization tools in use
today DataWrapper focuses on the ease of creating a quick and
effective chart, graph, or map. The approach is one that does not
require any coding or design to create a visualization.
• While most visualization software requires knowledge of the platform
or software to create DataWrapper does not require anything from
the user. This makes DataWrapper very simple to create and publish
charts for consumption by embedding online or as a report image.
For the user who rarely needs visualizations DataWrapper would be
the most efficient option.
Datawrapper
26. • While it is possible to use live data with a locally installed version
of DataWrapper this research will focus on the most common
application of DataWrapper which is online access via the browser.
“Datawrapper, was developed for data journalism and powers
the interactive graphs in online news services.”
• Users of DataWrapper may be using data from a flat text file or csv
and need a graph very quickly and that is what DataWrapper offers.
• As cost is prohibitive of most BI platforms specifically Tableau
and PowerBI with their monthly subscription fees for
use, DataWrapper is completely free to use and publish visualizations.
These visualizations are limited but there is no concern of licensing or
publishing.
Datawrapper
27. The cost and steps that take it to create a
visualization set DataWrapper apart from the other
visualization tools because of their ease of use. No
account creation is required which makes this the
best for purposes that are quick and no need to
save the work for future changes. After the data is
uploaded then it can be cleaned and transformed if
needed. Calculated columns can be created
using JavaScript as the syntax to perform any
functions on the data such as average or sum. Then
it takes the user to the visualize phase where the
user simply adds labels, determines groups that the
data might need to be colored in and sorting. If
dates are in the data here in the visualization stage
can the user set up max and min dates. After all
steps have been taken the user proceeds to the
publish phase where an email is used to send the
embed code and an iframe is sent for the final
product to be embedded into a webpage or report.
Once this is finished the chart is hosted
by Datawrapper. This is much easier than most BI
software that requires a server or cloud subscription
to host the queried data and visualization.
Datawrapper
28. • In a use case where business dashboards with multiple visualizations and
data sets are needed DataWrapper will not be useful. It excels in producing
quick easy to understand visualizations. Charting maps is a newer feature
of DataWrapper and it allows for a more immersive ability to use
geographical data and see more than simple charts and graphs that are
available in excel. This option has helped expand DataWrapper from a
quick solution to a more full-service visualization tool while still not being a
reporting tool like Tableau, PowerBI or Google Data Studio. Mapping
however is a very good use of DataWrapper because of its ease of use. A
smaller company looking to investigate CRM data that includes geographic
data could use this to visualize their customer base and more with the
offerings that are in their newly added mapping portfolio.
Datawrapper
29. • There are very little analysis abilities in DataWrapper. The only calculations
that are possible are calculated columns written in JavaScript. This is useful
but cannot be used to help make business decisions and stakeholders can
view the charts, but the underlying information will be required to be put
through the ETL phases before it arrives at DataWrapper. This makes it less
useful for projects or users with data that can change quickly and should
be monitored. Reports should be run in another visualization tool because
each time the data is updated it will require the visualization to be rebuilt
or reloaded to be current.
• The initial abilities of DataWrapper are very similar to Google Data Studio
with its layout and its quick visualization creation. But it lacks the ability to
create multiple visualizations or filters to help users drill down into data on
a more granular level. Unlike Tableau the charts are not initially well
designed and may take some color changes and formatting to ensure that
they are visually appealing and useful for a report or end user.
Datawrapper
30. • Overall DataWrapper does not offer many options that Microsoft Excel
could offer. In a time where most computing has moved from the local
machine and into the browser DataWrapper will have some use cases. Data
wrapper also gives the user the ability to create one visual and not need an
account but also the ability to create an account if they would like to edit
visualizations later. By creating a quick visualization creator DataWrapper is
the solution for users who need visualizations for reports that are not
transactional data that changes regularly or for journalistic reasons where
the story being told is not dynamic and will only be used once.
Datawrapper
35. • The average DataWrapper user is one with the following needs:
• Quick Visualization Creation
• No cost to create and use
• Can be used anywhere without software
• Simple Visualizations with some interactive features like tooltip
• Embedding into website
• Historical data that will not be dynamic
• The average Tableau user is one with the following needs:
• Pre-cleaned data
• Looking for clean UI
• Easy to understand when creating new measures
• The average Qlikview user is one with the following needs:
• Is the right solution for a business if they are prepared to apply and use a software that has a
programmatic interface.
• Users of this tool must have the right question from the beginning and be willing to put extra effort in
maintaining proper reporting of data.
• Speed and efficiency in creating dashboards
• The average Google Data Studio user is one with the following needs:
• Simple to use tool
• Sharing dashboards and reports with other users for collaboration work.
Conclusion
36. Agarwal, A. (2019). Hands-on dashboard development with QlikView : Practical
guide to creating interactive and user-friendly business intelligence dashboards.
Birmingham ; Mumbai : Packt Publishing.
ALEXANDER, A. (2014). Case Studies: Business intelligence. Accounting Today,
28(6), 32. Retrieved from
http://search.ebscohost.com.proxy.kennesaw.edu/login.aspx?direct=true&db=bsu
&AN=96516056&site=ehost-live&scope=site
Bobriakov, I. (2018). A Comparative Analysis of Top 6 BI and Data Visualization
Tools in 2018. Medium. Retrieved from https://medium.com/activewizards-
machine-learning-company/a-comparative-analysis-of-top-6-bi-and-data-
visualization-tools-in-2018-658490665973
Briggs, L. (2015). BI Case Study. Business Intelligence Journal, 20(1), 30–32.
Retrieved from
http://search.ebscohost.com.proxy.kennesaw.edu/login.aspx?direct=true&db=bth
&AN=101605387&site=eds-live&scope=site
References
37. Chart References. Data Studio Help. Google Support. Retrieved from
https://support.google.com/datastudio/topic/7059081
Ertug, G., Gruber, M., Nyberg, A., & Steensma, H. K. (2018). From the Editors-A Brief
Primer on Data Visualization Opportunities in Management Research. Academy of
Management Journal, 61(5), 1613–1625. https://doi-
org.proxy.kennesaw.edu/10.5465/amj.2018.4005
Find your way around. Data Studio Help. Google Support. Retrieved from
https://support.google.com/datastudio/?hl=en#topic=6267740
Lisa Maria Perkhofer, Peter Hofer, Conny Walchshofer, Thomas Plank, & Hans-
Christian Jetter. (2019). Interactive visualization of big data in the field of accounting :
A survey of current practice and potential barriers for adoption. Journal of Applied
Accounting Research, 20(4), 497–525. https://doi-
org.proxy.kennesaw.edu/10.1108/JAAR-10-2017-0114
MACPHERSON, S. (2019). CHOOSING THE RIGHT BUSINESS INSIGHT TOOLS:
Business intelligence and data visualisation tools make translating complex financial
information into something useful for stakeholders a much easier task. Acuity, 6(5),
50–53.
http://search.ebscohost.com.proxy.kennesaw.edu/login.aspx?direct=true&db=bth&A
N=138905569&site=eds-live&scope=site
References
38. Resource/Reading List
• Tableau:
• Learning Tableau 2019: Tools for Business Intelligence, data prep, and visual
analytics, 3rd Edition by Joshua N. Milligan
• Visual Analytics with Tableau by Alexander Loth
• https://playfairdata.com/blog/ Design and Tableau Information
• https://www.tableau.com/community Forum and Walkthroughs
• Google Data Studio:
• Report Gallery: https://datastudio.google.com/gallery
• Google Analytics YouTube channel playlist:
https://www.youtube.com/watch?v=6FTUpceqWnc&list=PLI5YfMzCfRtag7tB
fbVvA4_a6YZxWHEO4
• Blog post: An overview of all Google Data Studio Chart types in 2019 by
Michael Howe-Ely https://michaelhoweely.com/2019/04/14/an-overview-of-
all-google-data-studio-chart-types-in-2019/
39. Resource/Reading List
• Qlikview:
• QlikView Essentials by Chandraish Sinha
• For other books see article: Best books for Qlikview Learning
https://medium.com/@bansalhimani136/best-books-for-qlikview-learning-
451d5a715e1e
• Qlikview help guide: https://help.qlik.com/en-
US/qlikview/April2019/Content/QV_HelpSites/Home.htm
• DataWrapper:
• DataWrapper’s blog: https://blog.datawrapper.de/
• Thoughts & How to do’s category: https://blog.datawrapper.de/category/thoughts-how-
to-s/
40. Appendix
Google Data Studio Qlikview Tableau DataWrapper
Importing File type MySQL, Google
Sheets, CVS,
BigQuery
Excel, SQL CSV, Excel, Copy and Paste,
XLS, CSV, Google
Sheet, Link External
Dataset
Publishing Style Reports,
Dashboards
Reports,
Dashboards
Dashboard Single Visualization
Live Yes Yes Yes No
Data Manipulation
Language
Javascript SQL Proprietary Javascript
41. Appendix
• Offered Natively
— Can be Developed
Legend
Chart Type Google Data
Studio
Qlikview Tableau DataWrapper
Bar Chart • • • •
Split Bars • • • •
Stacked Bars • • • •
Grouped Bars • • • •
Bullet Bars • • •
Dot Plot • •
Range Plot — •
Arrow Plot — •
Column Chart • • • •
Grouped Column Chart • • • •
Stacked Column Chart • • • •
Area Chart • • • •
42. Appendix
Chart Type Google Data
Studio
Qlikview Tableau DataWrapper
Line Chart • • • •
Pie Chart • • — •
Donut Chart • • — •
Multiple Pies • • — •
Multiple Donuts • • — •
Scatter Plot • • — •
Election Donut • — •
Table • • — •
Heat Maps • • •
Highlight tables •
Packed Bubbles •
Gantt Chart — •
Circle View •
Maps • — • •
Symbol Maps — • •
Legend • Offered Natively
— Can be Developed