The document discusses topics related to business intelligence (BI) and data analysis software QlikView. It provides an overview of the agenda which includes introductions to BI basics, AQL technology compared to OLAP, QlikView deployment examples, the implementation process, and advanced visual design techniques. The document also includes sections on dimensional data models, QlikView features for dynamic data analysis, and best practices for visualization design.
This document provides an overview of key concepts in database systems, including: the components of a database management system (DBMS); data models like the entity-relationship and relational models; data definition and manipulation languages; database users and administrators; transaction management; storage management; and overall system architectures. It discusses the purpose of DBMSs in providing data independence, integrity, security and concurrent access.
BI & Analytics in Action Using QlikViewUday Kothari
The QlikView Business Discovery platform delivers true self-service BI that empowers business users by driving innovative decision-making. It is one of the fastest growing BI products and has been recognized in the industry for its ease of use for business users, visualizing data with engaging, state-of-the-art graphics and ability to consolidate relevant data from multiple sources into a single application. Companies in India like Flipkart, Godrej, Canon, HDFC Life, Reliance life and shoppers stop are leveraging QlikView to empower their business users through QlikView.
This webinar will gives an overview of QlikView architecture, talks about why it is different and then, it will also take you through how to get started with using QlikView. For data analytics enthusiasts, this webinar presents simplest ways to learn QlikView. At the end of this webinar, participants will be equipped to install QlikView and create simple dashboards. In short this is a 'Fast track indtroduction to creating your first QlikView dashboard'.
QlikView is a business intelligence software company with over 15,000 customers in 100 countries. It provides an easy to use, consumer-like experience for analyzing large amounts of business data using associative search. Customers appreciate its simplicity, speed, and self-service capabilities. QlikView has experienced strong revenue and customer growth in recent years.
The document provides an overview of the QlikView platform, which delivers an associative experience for business discovery. It discusses how QlikView differs from traditional BI tools by maintaining associations between all data elements. The key components of the QlikView platform are the QlikView Server, QlikView Publisher, and QlikView Desktop. QlikView Server handles the in-memory data and client communication, QlikView Publisher manages document distribution, and QlikView Desktop is used by analysts to build applications and by users for analysis.
Visual Guidance to build an optimized report for PowerBI
What are the components to be considered in your governance policy, how to make the report comprehensive in 1 glance and what should the report consumers get (a pretty report is not your spec...)
Building Bi Dashboards With SAS Gauges and SAS BI Portalsimienc
The document discusses building business intelligence (BI) dashboards using SAS gauges and the SAS BI portal. It provides an overview of dashboard benefits and components, describes various types of SAS gauges that can be used as indicators, and outlines the process for gathering requirements and building dashboards to visualize and monitor key performance metrics.
Dave Hawkins proposes developing a general purpose interactive visual calculator application. Such an app could allow users to visually model and calculate different types of graphs, like cost maps, without needing separate apps for each type. It would have features like those of early spreadsheet apps, being visually based, general purpose, easy to use, and augmenting users' abilities. Hawkins seeks input on whether such an app already exists, whether it would be worth creating, what it would take to create, and how best to develop, market, and license it.
This document provides an overview of key concepts in database systems, including: the components of a database management system (DBMS); data models like the entity-relationship and relational models; data definition and manipulation languages; database users and administrators; transaction management; storage management; and overall system architectures. It discusses the purpose of DBMSs in providing data independence, integrity, security and concurrent access.
BI & Analytics in Action Using QlikViewUday Kothari
The QlikView Business Discovery platform delivers true self-service BI that empowers business users by driving innovative decision-making. It is one of the fastest growing BI products and has been recognized in the industry for its ease of use for business users, visualizing data with engaging, state-of-the-art graphics and ability to consolidate relevant data from multiple sources into a single application. Companies in India like Flipkart, Godrej, Canon, HDFC Life, Reliance life and shoppers stop are leveraging QlikView to empower their business users through QlikView.
This webinar will gives an overview of QlikView architecture, talks about why it is different and then, it will also take you through how to get started with using QlikView. For data analytics enthusiasts, this webinar presents simplest ways to learn QlikView. At the end of this webinar, participants will be equipped to install QlikView and create simple dashboards. In short this is a 'Fast track indtroduction to creating your first QlikView dashboard'.
QlikView is a business intelligence software company with over 15,000 customers in 100 countries. It provides an easy to use, consumer-like experience for analyzing large amounts of business data using associative search. Customers appreciate its simplicity, speed, and self-service capabilities. QlikView has experienced strong revenue and customer growth in recent years.
The document provides an overview of the QlikView platform, which delivers an associative experience for business discovery. It discusses how QlikView differs from traditional BI tools by maintaining associations between all data elements. The key components of the QlikView platform are the QlikView Server, QlikView Publisher, and QlikView Desktop. QlikView Server handles the in-memory data and client communication, QlikView Publisher manages document distribution, and QlikView Desktop is used by analysts to build applications and by users for analysis.
Visual Guidance to build an optimized report for PowerBI
What are the components to be considered in your governance policy, how to make the report comprehensive in 1 glance and what should the report consumers get (a pretty report is not your spec...)
Building Bi Dashboards With SAS Gauges and SAS BI Portalsimienc
The document discusses building business intelligence (BI) dashboards using SAS gauges and the SAS BI portal. It provides an overview of dashboard benefits and components, describes various types of SAS gauges that can be used as indicators, and outlines the process for gathering requirements and building dashboards to visualize and monitor key performance metrics.
Dave Hawkins proposes developing a general purpose interactive visual calculator application. Such an app could allow users to visually model and calculate different types of graphs, like cost maps, without needing separate apps for each type. It would have features like those of early spreadsheet apps, being visually based, general purpose, easy to use, and augmenting users' abilities. Hawkins seeks input on whether such an app already exists, whether it would be worth creating, what it would take to create, and how best to develop, market, and license it.
The art technique of data visualizationUday Kothari
Decision making based on information has been the single most important objective of a data warehousing or big data pursuit. No matter how big, fast and varied data are generated and processed; decision makers are only concerned with the consumption of its end result – data visualization.
Data visualization simply means representing data in a visually appealing manner to enable understanding of the context in which we operate. Data visualization is a “moment of truth” that stems from a data management initiative. It is a very linear process of decision making; and hence, critical to its success. However, data visualizations also possess the potential to put an end to such initiatives; especially, when they are either heavily biased on just the design or contain information overload.
This webinar on the art and technique of data visualization focuses sharply on the one thing that matters most to qualify for effective data visualization: the truth that comes out from data. We have facilitated the discussion with the help of our 3D framework: Design, Discovery & Data.
After registering, you will receive a confirmation email containing information about joining the webinar.
The document discusses dashboard design and best practices. It outlines three key elements of effective dashboards: visual display on a single page or screen with the most important information. Dashboards should present carefully selected metrics in a clear visual format like bar graphs, line graphs or bullet graphs to show comparisons over time. Creation of dashboards should have a clear goal, focus on key metrics and continuously improve based on feedback.
This document provides information about Bound Tech's Tableau online training course. It discusses the course content, features of Tableau, Tableau course content including data sources, fields operations, calculations, charts, dashboards, and Tableau navigations. The course is taught with real-time examples and scenarios to provide job-oriented Tableau training. It aims to teach students fundamental to advanced Tableau concepts to help them pursue careers in roles like Business Analyst, Data Scientist, and Tableau Expert.
Bound Tech is a top institute that provides hands-on Tableau training taught by experienced trainers using real-world scenarios and examples. The training covers fundamental concepts, advanced concepts, features of Tableau like data analysis and visualization capabilities, common job roles, course content including data sources, calculations, charts, dashboards and more. It aims to help students learn Tableau and be job ready for roles like business analyst, data scientist and Tableau developer.
Bound Tech is a top institute that provides hands-on Tableau training taught by experienced trainers using real-world scenarios and examples. The training covers fundamental concepts, advanced concepts, and job-oriented skills over 50-60 hours. Students learn how to rapidly analyze data, create dashboards and reports, and share analytics using features of Tableau. The course also provides skills needed for roles like business analyst, data scientist, and Tableau developer.
Data Visualization with Microsoft Reporting ServicesChris Price
This document discusses data visualization techniques using Microsoft Reporting Services. It begins with an introduction to data visualization as both an art and science. The document then covers principles of visual design, different types of charts like line charts and bar charts, and how to encode data visually. It provides examples of effective and ineffective data visualization. Finally, it demonstrates capabilities of Reporting Services for creating visualizations and data charts.
Fashion Technologies * Fashion Product Design, Development and Merchandising. How technology is used in the fashion industry. The importance of learning off the shelf applications for careers in the fashion industry.
PowerBI importance of power bi in data analytics fieldshubham299785
This document provides an overview and introduction to Power BI. It discusses the three core areas of Power BI - data preparation and analysis using Power BI Desktop, visualization of data, and collaboration and sharing of results. It outlines the different components of the Power BI toolset including Power BI Desktop, Power BI Service, and the Power BI mobile app. The document then provides guidance on how to get the most out of the accompanying course, including watching videos, working through exercises, using available resources, and participating in the question and answer section.
IBM Business Analytics Dashboarding Tips > Cresco International Cresco International
Learn the best dashboarding tips and tricks for your business analytics reports. This 50 minute webcast features how to successfully build and design your dashboards.
ReactJS for Dashboards and Data Visualization: An Exceptional ChoiceKaty Slemon
The document discusses how ReactJS is well-suited for building dashboards and data visualizations due to its reusable component architecture, virtual DOM, isomorphic JavaScript capabilities, and large ecosystem of charts and tools. Some key benefits highlighted include fast rendering, continuous library development, and the ability to create interactive and customizable visualizations. Examples of different types of dashboards built with ReactJS are provided, such as marketing, sales, executive, and mobile dashboards. Key performance indicators and metrics that can be tracked using ReactJS dashboards are also mentioned.
DFMEA is a method used to identify potential risks in new designs. It involves identifying failure modes, their causes and effects, and assigning severity, occurrence, and detection rankings. High risk issues are addressed. 3D modeling and technical drawings are used to visualize designs. Bills of materials list components. Benchmarking evaluates competitors. Geometric dimensioning specifies tolerances. Simulations and calculations analyze performance. Design reviews check for issues. Value analysis reduces costs. Waste elimination aims to remove non-value-adding activities.
The document outlines the agenda for a Salesforce event taking place in Gothenburg, Sweden. The agenda includes:
1. An introduction to Salesforce by Kjell Ahlzén, the Regional Vice President of Salesforce in Sweden.
2. A presentation on digitalization and innovation by My Lindström from Volvo Car Group.
3. A presentation on innovative cloud solutions by Allan Lorentzen and Elena Klepikova from Accenture.
4. A Salesforce demonstration by Lars Göransson from Salesforce.
5. A concluding question and answer session and networking opportunities.
OLAP cubes organize and represent large volumes of data in a multidimensional structure to facilitate efficient analysis across dimensions like time, product, and location. Key features include multidimensional structure, measures, aggregation, slicing and dicing, and drill-down. OLAP cubes are used in business intelligence, financial analysis, retail, healthcare, manufacturing, and e-commerce. They involve collecting, transforming, and aggregating data before users query and analyze the cube using OLAP tools or BI platforms.
Human in the Loop AI for Building Knowledge Bases Yunyao Li
The ability to build large-scale domain-specific knowledge bases that capture and extend the implicit knowledge of human experts is the foundation for many AI systems. We use an ontology-driven approach for the creation, representation and consumption of such domain-specific knowledge bases. This approach relies on several well-known building blocks: natural language processing, entity resolution, data transformation and fusion. I will present several human-in-the-loop work that target domain experts (rather than programmers) to extract the domain knowledge from the human expert and map it into the "right" models or algorithms. I will also share successful use cases in several domains, including Compliance, Finance, and Healthcare: by using these tools we can match the level of accuracy achieved by manual efforts, but at a significantly lower cost and much higher scale and automation.
Using Microsoft Excel in Your Next Internal and External Audit - Learning The...Jim Kaplan CIA CFE
The document provides information about a webinar on using Microsoft Excel in audits. It discusses how Excel can be used as audit software to perform data analysis and identify potential issues. The webinar will demonstrate how to use pivot tables and visualizations in Excel to analyze spending trends, detect outliers, and identify anomalies. It will also discuss using text analysis and key word searches to identify red flags and using sampling techniques in Excel. The overall goal is to help auditors leverage technology to improve the efficiency and effectiveness of their work.
The art technique of data visualizationUday Kothari
Decision making based on information has been the single most important objective of a data warehousing or big data pursuit. No matter how big, fast and varied data are generated and processed; decision makers are only concerned with the consumption of its end result – data visualization.
Data visualization simply means representing data in a visually appealing manner to enable understanding of the context in which we operate. Data visualization is a “moment of truth” that stems from a data management initiative. It is a very linear process of decision making; and hence, critical to its success. However, data visualizations also possess the potential to put an end to such initiatives; especially, when they are either heavily biased on just the design or contain information overload.
This webinar on the art and technique of data visualization focuses sharply on the one thing that matters most to qualify for effective data visualization: the truth that comes out from data. We have facilitated the discussion with the help of our 3D framework: Design, Discovery & Data.
After registering, you will receive a confirmation email containing information about joining the webinar.
The document discusses dashboard design and best practices. It outlines three key elements of effective dashboards: visual display on a single page or screen with the most important information. Dashboards should present carefully selected metrics in a clear visual format like bar graphs, line graphs or bullet graphs to show comparisons over time. Creation of dashboards should have a clear goal, focus on key metrics and continuously improve based on feedback.
This document provides information about Bound Tech's Tableau online training course. It discusses the course content, features of Tableau, Tableau course content including data sources, fields operations, calculations, charts, dashboards, and Tableau navigations. The course is taught with real-time examples and scenarios to provide job-oriented Tableau training. It aims to teach students fundamental to advanced Tableau concepts to help them pursue careers in roles like Business Analyst, Data Scientist, and Tableau Expert.
Bound Tech is a top institute that provides hands-on Tableau training taught by experienced trainers using real-world scenarios and examples. The training covers fundamental concepts, advanced concepts, features of Tableau like data analysis and visualization capabilities, common job roles, course content including data sources, calculations, charts, dashboards and more. It aims to help students learn Tableau and be job ready for roles like business analyst, data scientist and Tableau developer.
Bound Tech is a top institute that provides hands-on Tableau training taught by experienced trainers using real-world scenarios and examples. The training covers fundamental concepts, advanced concepts, and job-oriented skills over 50-60 hours. Students learn how to rapidly analyze data, create dashboards and reports, and share analytics using features of Tableau. The course also provides skills needed for roles like business analyst, data scientist, and Tableau developer.
Data Visualization with Microsoft Reporting ServicesChris Price
This document discusses data visualization techniques using Microsoft Reporting Services. It begins with an introduction to data visualization as both an art and science. The document then covers principles of visual design, different types of charts like line charts and bar charts, and how to encode data visually. It provides examples of effective and ineffective data visualization. Finally, it demonstrates capabilities of Reporting Services for creating visualizations and data charts.
Fashion Technologies * Fashion Product Design, Development and Merchandising. How technology is used in the fashion industry. The importance of learning off the shelf applications for careers in the fashion industry.
PowerBI importance of power bi in data analytics fieldshubham299785
This document provides an overview and introduction to Power BI. It discusses the three core areas of Power BI - data preparation and analysis using Power BI Desktop, visualization of data, and collaboration and sharing of results. It outlines the different components of the Power BI toolset including Power BI Desktop, Power BI Service, and the Power BI mobile app. The document then provides guidance on how to get the most out of the accompanying course, including watching videos, working through exercises, using available resources, and participating in the question and answer section.
IBM Business Analytics Dashboarding Tips > Cresco International Cresco International
Learn the best dashboarding tips and tricks for your business analytics reports. This 50 minute webcast features how to successfully build and design your dashboards.
ReactJS for Dashboards and Data Visualization: An Exceptional ChoiceKaty Slemon
The document discusses how ReactJS is well-suited for building dashboards and data visualizations due to its reusable component architecture, virtual DOM, isomorphic JavaScript capabilities, and large ecosystem of charts and tools. Some key benefits highlighted include fast rendering, continuous library development, and the ability to create interactive and customizable visualizations. Examples of different types of dashboards built with ReactJS are provided, such as marketing, sales, executive, and mobile dashboards. Key performance indicators and metrics that can be tracked using ReactJS dashboards are also mentioned.
DFMEA is a method used to identify potential risks in new designs. It involves identifying failure modes, their causes and effects, and assigning severity, occurrence, and detection rankings. High risk issues are addressed. 3D modeling and technical drawings are used to visualize designs. Bills of materials list components. Benchmarking evaluates competitors. Geometric dimensioning specifies tolerances. Simulations and calculations analyze performance. Design reviews check for issues. Value analysis reduces costs. Waste elimination aims to remove non-value-adding activities.
The document outlines the agenda for a Salesforce event taking place in Gothenburg, Sweden. The agenda includes:
1. An introduction to Salesforce by Kjell Ahlzén, the Regional Vice President of Salesforce in Sweden.
2. A presentation on digitalization and innovation by My Lindström from Volvo Car Group.
3. A presentation on innovative cloud solutions by Allan Lorentzen and Elena Klepikova from Accenture.
4. A Salesforce demonstration by Lars Göransson from Salesforce.
5. A concluding question and answer session and networking opportunities.
OLAP cubes organize and represent large volumes of data in a multidimensional structure to facilitate efficient analysis across dimensions like time, product, and location. Key features include multidimensional structure, measures, aggregation, slicing and dicing, and drill-down. OLAP cubes are used in business intelligence, financial analysis, retail, healthcare, manufacturing, and e-commerce. They involve collecting, transforming, and aggregating data before users query and analyze the cube using OLAP tools or BI platforms.
Human in the Loop AI for Building Knowledge Bases Yunyao Li
The ability to build large-scale domain-specific knowledge bases that capture and extend the implicit knowledge of human experts is the foundation for many AI systems. We use an ontology-driven approach for the creation, representation and consumption of such domain-specific knowledge bases. This approach relies on several well-known building blocks: natural language processing, entity resolution, data transformation and fusion. I will present several human-in-the-loop work that target domain experts (rather than programmers) to extract the domain knowledge from the human expert and map it into the "right" models or algorithms. I will also share successful use cases in several domains, including Compliance, Finance, and Healthcare: by using these tools we can match the level of accuracy achieved by manual efforts, but at a significantly lower cost and much higher scale and automation.
Using Microsoft Excel in Your Next Internal and External Audit - Learning The...Jim Kaplan CIA CFE
The document provides information about a webinar on using Microsoft Excel in audits. It discusses how Excel can be used as audit software to perform data analysis and identify potential issues. The webinar will demonstrate how to use pivot tables and visualizations in Excel to analyze spending trends, detect outliers, and identify anomalies. It will also discuss using text analysis and key word searches to identify red flags and using sampling techniques in Excel. The overall goal is to help auditors leverage technology to improve the efficiency and effectiveness of their work.
2. AGENDA Admin stuff BI - BASICS AQL Technology (vs OLAP) QlikView – deployment examples Implementation process Advanced Visual Design Academia de studii economice
3. Admin stuff Alex Barbulescu Asistant lecturer Phd.c. 3 intalniri - de la ora 18.00, sala 2001 17 – noi - Intro ppt - Instalare locala QV - demo QV – utilizare - hands on - examples 19 – noi – QlikTech Romania, QQinfo, Cotiso Hanganu - hands on - examples 20 – noi – hands on Academia de studii economice
4. BI - BASICS Dimensiuni Ierarhii Măsuri Hipercuburi Intersecţii de date Măsurile ca dimensiuni Academia de studii economice
6. AQL Technology (vs OLAP) Ce este AQL ? AQL - Advanced Query Logic este o tehnologie revoluţionară, care accesează informaţiile structurate din surse variate într-un mod dinamicşi interactiv, propagând selecţiile de analiză prin întreaga bază de date relaţională înglobată. Academia de studii economice
7. Click ! AQL Technology (vs OLAP) AQL Interfaţa utilizator Fiecare click este o interogare. Extrem de rapid, şi foarte flexibil. Selecţia se propagăprin baza de date relaţională. Academia de studii economice
8. AQL Technology (vs OLAP) Ce oferă AQL ? Simplificarea procesului de conectare şi administrare a structurilor de înmagazinare ale soluţiilor de business intelligence (NO DATA WAREHOUSE REQUIRED !) Viteză remarcabilă de implementare Viteză incredibilă de returnare a rapoartelor (secunde!) Portabilitate (“Off-LAP”) Uşurinţă în utilizare (analize la un “Qlik” distanţă) Academia de studii economice
9. AQL Technology (vs OLAP) Cui foloseşte AQL ? Tuturor celor care vor răspunsuri instantanee la întrebările lor. Tuturor celor care nu vor să devină experţi IT pentru a afla informaţii relevante de la un sistem informatic Tuturor celor pentru care timpul e critic Tuturor celor care vor să verifice rapid corectitudinea informaţiilor pe care le deţin Tuturor celor care vor să ofere plusvaloare informaţională şi transparenţă clienţilor sau partenerilor săi Academia de studii economice
10. AQL Technology (vs OLAP) Cine ofera? QlikTech este o coporaţie suedeză care a dezvoltat această tehnologie. Produsul care înglobează această tehnologie se numeşte QlikView In Romania prin parteneri. Academia de studii economice
11. Data Warehouse AQL Technology (vs OLAP) OLAP Relaţional Interfaţă utilizator Interogările SQL sunt generate grafic. Flexibil, dar neprietenos şi lent. Academia de studii economice
12. Hyper Cube Data Warehouse AQL Technology (vs OLAP) OLAP Multidimensional Interfaţă utilizator Fiecare click este o interogare. Rapid, dar inflexibil. Număr limitat de dimensiuni. Construirea cubului. Multe date. Lent. Totul trebuie predefinit. 12 Academia de studii economice
13. Fiecare click este o interogare. Rapid, dar inflexibil. Număr limitatde dimensiuni. Hyper Cube Căutare “Drill-through”la nevoie. Încet şi neprietenos. Data Warehouse AQL Technology (vs OLAP) OLAP Hibrid Interfaţă utilizator Academia de studii economice
14. Data Warehouse Fişier QlikView AQL Technology (vs OLAP) AQL Interfaţă utilizator Baza de date relaţională este în fişier Data Warehouse nu mai este neapărat necesar Academia de studii economice
15. Fişier QlikView AQL Technology (vs OLAP) AQL Interfaţă utilizator Încarcă ... şi apoi poţi lucra off-line Sursa de date primare Academia de studii economice
16. AQL Technology (vs OLAP) Fişiere QlikView (Scade de10x – 100x – 300 x) Surse de date primare Data Warehouse (Creşte dex3 – x10– x100) Academia de studii economice
17. Qlik View – deployment examples Academia de studii economice
18. Qlik View – deployment examples Academia de studii economice
19. Qlik View – deployment examples Academia de studii economice
20. Qlik View – deployment examples Academia de studii economice
21. Qlik View – deployment examples Academia de studii economice
23. Implementation process Put in place infrastructure Identify most valuable/reasonable places to start Identifiy existing data structures Identify & develop new data structures required Develop scripting Develop analyzing Develop reporting Develop macros Continuous learn (iterative process !) Academia de studii economice
25. Advanced Visual Design What is bad design? What is good design? What is user-friendly? Overview Chart type choices Academia de studii economice
26. Advanced Visual Design What is bad design in QlikView? Cluttered Too many colors in one Dark colors Inconsistent object placement Wrong choice in object type Objects placed on top of each other Objects placed off the screen … etc Academia de studii economice
33. Advanced Visual Design What is good design in QlikView? Uncluttered Crisp Aligned Light color choices Consistency with object placement in a sheet … etc Academia de studii economice
38. Advanced Visual Design What is user friendly in QlikView? Easy to find what you are looking for Repeated objects (clear buttons) at the same position in every sheet Clean layout in charts Hierarchy dimensions placed in order Color choices for color-blind … etc Academia de studii economice
39. Advanced Visual Design Easy to find Create sheets to categorize the data/report Always place Current Selection Box to keep track on what information you are looking at Name charts wisely Place proper selection objects in each sheet KPI Sheet Transaction Sheet Academia de studii economice
43. Advanced Visual Design Overview Uncluttered Crisp Light color choices Consistency in object placement Easy to find what you are looking for Repeated objects (clear buttons) at the same position in every sheet Clean layout in charts Hierarchy dimensions placed in order Color choices for color-blind … etc Cluttered Too many colors in one Dark colors Inconsistent object placement Wrong choice in object type Objects placed on top of each other Objects placed off the screen … etc Academia de studii economice
45. Bar Chart Line Chart Combo Chart Radar Chart Gauge Chart Scatter Chart Grid Chart Pie Chart Block Chart Straight Table Pivot Table Advanced Visual Design Choices for chart types Graphic Chart Types Table Chart Types The question is… When to use what? Academia de studii economice
86. Advanced Visual Design Which graphical chart would you choose? when you have dollar amount and quantity… when you have actual amount and budget amount… when you display top performers… when you display the ratio (%) of dollar amounts by top performers… when you display the trend line over time… Straight table or Pivot table? when you have a dimension and multiple expressions… when you have multiple dimensions… Combo chart Bar chart Bar chart Pie chart Line chart Straight table Pivot table Academia de studii economice