Dr. O. Aly
Computer Science

Abstract

This project discusses and analyzes ten big data visualization tools.  These ten tools include Sisense, Microsoft Power BI, Tableau, Domo, Looker, InsightSquared, QlikView, WebFOCUS, Phocas, and Easy Insight. Each tool has advantages and disadvantages that are discussed in this project as well.  The analysis shows that the Sisense, Looker, InsightSquared, and EasyInsight have the highest rate in Quality of Support.  Phocas and InsightSquared have the highest rate of ease of use. InsightSquared has the highest rates of meets requirements.  Easy Insight has the highest rate for ease of admin.  Easy Insight, Phocas, WebFOCUS, InsightSquared, Looker, and Sisense have the highest ease of doing business with.  EasyInsight and Sisense have the highest rate for ease of setup. Organizations must analyze each tool that can best meet their business requirements.

Keywords: Big Data Analytics Data Visualization Tools.

Overview of Data Visualization Tools

Data visualization is a visual depiction or context to help better understand the significance of the data (P.  Baker, 2018; Meyer, 2018).   Visualization is one of the most powerful representations and presentation of the data (Jayasingh, Patra, & Mahesh, 2016).  It does help in viewing the data in the form of graphs, images, pie charts (EMC, 2015; Jayasingh et al., 2016).  Data visualization is not a new concept, as it has been utilized in business intelligence (P.  Baker, 2018).  The kind and size of the data which data visualization nowadays represents are sophisticated (Meyer, 2018).  The visualization process includes the synthesis of large volumes of data sets to obtain the essence of the data and convey the critical insights for decision making (Meyer, 2018).  Data visualization play a significant role in depicting patterns and relationships in large volumes of data that may not be easily seen in raw data reports (Meyer, 2018).  It helps to identify emerging trends to provide actionable insights that can drive change (Meyer, 2018). 

Ten tools are recognized as the best data visualization tools of 2018 (P.  Baker, 2018).  These ten data visualization tools include Zoho Reports, Sisense, Domo, Microsoft Power BI, Tableau Desktop, Google Analytics, Chartio, SAP Analytics Cloud, IB Watson Analytics, and Salesforce Einstein Analytics Platform.  The same report has rated these tools from fair, good to excellent.  The top excellent tools include Sisense, Power BI, Tableau, and IBM Watson. The top good tools include Zoho, Domo, Google Analytics, SAP Analytics Cloud, and Salesforce Einstein Analytics Platform.  The only fair rated data visualization tool is Chartio.  IBM Watson is not available in the market since July 2018 (P.  Baker, 2018).

Other reports have included additional data visualization tools such as QlikView, Matlab, Kibana, Plotly and other (financeonline.com, 2018a). The seven best data visualization tools include Tableau, QlikView, FusionCharts, Highcharts, Datawrapper, Plotly, and Sisense (Marr, 2017).  There are various data visualization tools in the market. Organizations must analyze each tool to ensure that the tools will serve the business needs.  

This project has selected top ten visualization tools in the market.  These ten visualization tools include Sisense Data, Microsoft Power BI, Tableau, Domo, Looker, InsightSquared, QlikView, WebFOCUS, Phocas, and EasyInsight.  The project discusses and analyzes these top ten visualization tools.  The discussion describes each tool, its benefits, and limitation. The discussion is followed by the analysis of these selected top ten data visualization tools, and a conclusion.

1. Sisense Data

Sisense won the best business intelligence software aware for 2017 with 99% user satisfaction (financesonline.com, 2018b). It was rated with among the excellent data visualization tools (P. Baker, 2018c).  It can be used to collect information from all sources and unify them into a single repository (P. Baker, 2018c; financesonline.com, 2018b).  It generates intelligent analysis and enables sharing insights across the organization (P. Baker, 2018c; financesonline.com, 2018b).  It is a fast system as it uses 64-bit computer, parallelization capabilities, and multi-core CPUs (financesonline.com, 2018b).   It has been named a Leader based on receiving a high customer satisfaction score and having a large Market Presence (looker.com, 2018).  It has 91% of the users rating it 4-5 stars (looker.com, 2018).  Figure 1 illustrates the satisfaction rating of Sisense.

Figure 1.  Sisense Satisfaction Rating (looker.com, 2018).

Sisense has various advantages.  It has an intuitive user interface (P. Baker, 2018c). It is described to be all-in-one BI solution enabling multiple tasks including data modeling and complex calculations (P. Baker, 2018c; financesonline.com, 2018b). Sisense provides accurate data analysis in real-time (financesonline.com, 2018b).  It uses crowd accelerated BI technology which can simultaneously handle hundreds of queries (financesonline.com, 2018b).  Other advantages include excellent technical support.  It connects to all data storage platform allowing users to quickly view the data assets in different systems (financesonline.com, 2018b).  It creates robust dashboards accessible from any device (financesonline.com, 2018b).  The system can be easily customized for multiple user levels (financesonline.com, 2018b).  The highest-rated features include dashboards with 90%, followed by data visualization of 90%, and scorecards of 90%.

The drawbacks of Sisense include sharing the dashboards created by multiple users not as easy as it should be.  The navigation and filtering on the mobile platform could be improved (financesonline.com, 2018b).  It is a bit complex for a self-service business intelligence tool (BI) (P. Baker, 2018c).  The analytics process needs work (P. Baker, 2018c).  The natural language features have limitations (P. Baker, 2018c).  The lowest-rated features include the mobile user support with 77%, followed by auto-modeling of 78% and breadth of partner applications of 79%. Figure 2 shows the highest-rated features and lowest-rated features of Sisense.

Figure 2.  Sisense Highest-Rated and Lowest-Rated Features (looker.com, 2018).

2. Microsoft Power BI

Power BI does a very good job in combining power analytics with a user-friendly user interface (UI) and remarkable data visualization capabilities (P. Baker, 2018b).  There is a limited free version as well as the Professional version which begins at $9.99 per user per month (P. Baker, 2018b).  It provides a single view for the dashboard to view the critical business data (P. Baker, 2018b).  Power BI has been named a leader based on receiving a high customer satisfaction score and having a significant market presence (looker.com, 2018).  It has 89% of users rating it 4-5 stars.  Figure 3 illustrates the Power BI satisfaction ratings.  

Figure 3.  Power BI Satisfaction Ratings (looker.com, 2018).

Power BI has several advantages.  It is affordable because it has a free version as well as the Professional version for $9.99 per user per month (P. Baker, 2018b; techaffinity.com, 2017).  It is tightly coupled with Microsoft product suite and integration with Excel, Azure and SQL server is simple and straightforward (techaffinity.com, 2017). It consistently gets upgraded to improve its features (techaffinity.com, 2017). It provides good visualization reports offering detailed reporting (techaffinity.com, 2017).  It can connect and extract data from a variety of data sources like Excel, Access, Github, Google Analytics, Salesforce, etc.  It works on all platforms like Windows, Android, and iOS (techaffinity.com, 2017).  The highest-rated features of Power BI include the data visualization with 90%, followed by graphs and charts of 89%, and breadth of partner applications of 86% (looker.com, 2018). 

The drawbacks of Power BI include the limitation for handling a large volume of data (techaffinity.com, 2017).  It will hand many times while handling vast sets of data and the best solution is to use a live connection which will make it much faster (techaffinity.com, 2017).  It is complicated to master as there are many complex components like Power BI desktop, Gateway, and Power BI services and it is difficult to understand which option is best suited for the business (techaffinity.com, 2017).  Power BI has 90% highest rated features for data visualization, followed by graphs and charts, and breadth of partner applications.  The lowest-rated features have 73% for predictive analytics, followed by big data services of 77%, and auto-modeling of 80% (looker.com, 2018).  Figure 4 shows the highest-rated features and the lowest rated features of Power BI.

    
Figure 4.  Power BI Highest-Rated and Lowest-Rated Features (looker.com, 2018).

3. Tableau

            Tableau Desktop was one of the early players in the business intelligence domain (P. Baker, 2018d).   It is one of the most mature offerings on the market (P. Baker, 2018d). It has a steep learning curve than other platforms, and it is easily one of the best tools in the data visualization tools (P. Baker, 2018d).  It has been named as a leader based on receiving a high customer satisfaction score and having a significant market presence (looker.com, 2018).  The number of the user is 85% who rated Tableau 4-5 stars (looker.com, 2018).  Figure 5 shows the satisfaction ratings of Tableau. 

Figure 5. Tableau Satisfaction Rating (looker.com, 2018).

            Tableau has several advantages.  Some of these advantages include the data visualization tool supporting complex computations (absentdata.com, 2018).   It quickly creates interactive visualizations using drag-n-drop functionalities (absentdata.com, 2018). It offers many types of visualization options enhancing user experience (absentdata.com, 2018). Tableau can handle large amounts of data and millions of rows of data with ease (absentdata.com, 2018).  Users can integrate other scripting languages such as Python or R-programming in Tableau (absentdata.com, 2018). It provides mobile support and responsive dashboard (absentdata.com, 2018).  Data visualization is the highest-rated features with 90% rating, followed by graphs and charts of 90%, and dashboard of 89% ratings (looker.com, 2018). 

            The drawbacks of Tableau include the requirement for substantial training to fully master the Tableau platform (P. Baker, 2018d). It does not provide the feature of automatic refreshing of the reports with the help of scheduling (absentdata.com, 2018).  It is not a complete open tool; unlike other tools like Power BI, developers can create custom visuals that can be imported into Tableau. Hence, any new visuals need to be recreated instead of imported to Tableau (absentdata.com, 2018).  It has a limitation of conditional formatting and limited 16 column table, and a manual update to the parameters (absentdata.com, 2018).  The screen resolution can disturb a Tableau dashboard (absentdata.com, 2018).  Tableau Desktop provides necessary pre-processing including joining and blending data, and data cleansing is a required step, which required another tool such as Power BI to clean the data. Tableau introduced Tableau Prep tool in 2018 to prepare the data, which has its advantages and disadvantages as well (absentdata.com, 2018).  The biggest issue in Tableau is scaling and pricing for enterprise (absentdata.com, 2018).  The lowest-rated features in Tableau include the sandbox and test environment with 71% ratings, followed by the predictive analytics of 73% and auto-modeling of 78% (looker.com, 2018).  Figure 6 shows the highest-rated features and lowest-rated features of Tableau.

Figure 6.  Tableau Highest-Rated and Lowest-Rated Features (looker.com, 2018).

4. Domo

            Domo was founded in 2010 and has received $689 million in funding as of April 2017 (yurbi.com, 2018).  This funding includes investments from Fidelity Investments and Salesforce.  Domo has big customers like eBay and National Geographic (yurbi.com, 2018).  The initial public offering (IPO) was on June 29, 2018, and is now publicly traded on NASDAQ (yurbi.com, 2018).  It is for companies that already have business intelligence experience in their organizations (P. Baker, 2018a).  It is a powerful BI tool with many data connectors and robust data visualization capabilities (P. Baker, 2018a).  It has been named a leader based on receiving a high customer satisfaction score and having a significant market presence.  The number of users is 92% rating it 4-5 stars and 87% of users believe it is headed into the right direction (looker.com, 2018).  Figure 7 shows the satisfaction ratings.

Figure 7.  Domo Satisfaction Ratings (looker.com, 2018).

            Domo has advantages and disadvantages.  The advantages include the ability to view real-time data in a single dashboard (yurbi.com, 2018).  Domo can integrate on-premise data and external data sources in the cloud (yurbi.com, 2018).  It is built on reliable technology, its network is dependable, and it has both the leadership and financial resources to continue to evolve.  The highest-rated features include graphs and charts with 91%, followed by the dashboards of 90% and data visualization of 90% (looker.com, 2018). 

            The drawbacks of Domo include the cloud-based nature of Domo for those organizations whose most data is on-premise (yurbi.com, 2018).  The cost of Domo is a prohibitive for most business as it is not interested in deals that are less than $50,000 (yurbi.com, 2018).  The lack of improvement is another drawback of Domo (yurbi.com, 2018).  It is difficult to extract data, and high-pressure sales (yurbi.com, 2018).  The lowest-rated features of Domo include predictive analytics with 73%, followed by the auto-modeling of 77% and search of 80% (looker.com, 2018).  Figure 8 shows the highest-rated features and the lowest-rated features. 

Figure 8.  Domo Highest-Rated and Lowest-Rated Features (looker.com, 2018).

5. Looker

Looker is self-service data exploration solution hosted in the cloud (comparecamp.com, 2018).  It can be used to discover critical data and generate reports in seconds (comparecamp.com, 2018).  All collaboration and exploration models can be created with a little bit of SQL coding knowledge (comparecamp.com, 2018).  It supports more than 20 variations including BigQuery, Vertica, Hive, and Spark (comparecamp.com, 2018).   It can be used in complex installations and process the required terabytes of data (comparecamp.com, 2018).  It has been named a leader based on receiving a high customer satisfaction score and having a significant market presence (comparecamp.com, 2018).  The number of the user of 97% rated it 4-5 stars, and 90% of them believe it is headed in the right direction (looker.com, 2018).  The satisfaction ratings show 94% for quality of support, ease of use of 82%, and meets requirements of 86%.  Ease of admin has 88%, and ease of doing business with has 94%, and ease of setup has 84%.  Figure 9 shows the satisfaction ratings for Looker as a data visualization tool.

Figure 9.  Looker Satisfaction Ratings (looker.com, 2018).

Looker has advantages and disadvantages.  The main advantage of Looker is that the user does not have to be SQL expert or professional data analyst to use Looker (looker.com, 2018).  It has its understandable and flexible language known as LookML with a specific syntax, which can be used to explore data, extend the platform’s SQL efficiency (looker.com, 2018).  Packages can be tailored within the budget of the organization (looker.com, 2018).  The highest-rated features include the data column filtering of 90%, followed by data modeling of 89% and reports interface of 88% (looker.com, 2018). 

            The drawbacks of the Looker include the mobile user support limitation which has 66% of lowest-rated features (looker.com, 2018).  The predictive analytics is another limitation in Looker with 70% lowest-rated features (looker.com, 2018).  The auto-modeling has 74% lowest-rated feature (looker.com, 2018).  Figure 10 shows the highest-rated features and lowest-rated features of Looker. 

Figure 10. Looker Highest-Rated and Lowest-Rated Features (looker.com, 2018).

6. InsightSquared

            InsightSquared is a suite offering an array of business reporting and analytics features to measure all aspects of businesses including marketing, sales, customer service, financials and staffing (financesonline.com, 2018a).  It provides an in-depth analysis of the sales pipeline, covering sales forecasting and retrospective trend identification (financesonline.com, 2018a).  The sales analytics reports can be utilized to measure employee achievements and successes (financesonline.com, 2018a).  These sales analytics reports can be combined with marketing analytics information to identify lead sources, track lead generation, and measure campaign results (financesonline.com, 2018a).  It has been named a leader based on receiving a high customer satisfaction score and having a significant market presence (looker.com, 2018).  It received the highest satisfaction score among products in the BI platform (looker.com, 2018).  Figure 11 shows the satisfaction rating for the InsightSquared tool.

Figure 11.  InsightSquared Satisfaction Ratings (looker.com, 2018).

InsightSquared has several advantages.  It offers six customizable dashboards that give a near real-time view of essential metrics and latest trends, such as new pipeline opportunities, sales cycle warnings, employee activities, and flagged data errors (financesonline.com, 2018a).  It offers sales analytics and reports as well as marketing analytics.  It also offers other analytic reports such as financial reporting, staffing analytics and support team analytics (financesonline.com, 2018a).  (financesonline.com, 2018a) reported 100% user satisfaction. (looker.com, 2018) has reported 98% of the users rated it 4-5 stars with 97% of users believe it is headed in the right direction. 

            The disadvantages of InsightSquared include the limited customization, the loading time which needs improvement, and tricky configuration to ensure data is perfect (getapp.com, 2018b). The lowest-rated features of the InsightSquared tool include mobile user support with 83%, customization of 83% and Big Data services of 85% (looker.com, 2018). Figure 12 shows the highest-rated features and lowest-rated features of the InsightSquared tool.

Figure 12. InsightSquared Highest-Rated and Lowest-Rated Features (looker.com, 2018).

7.  QlikView

            QlikView is a data discovery tool allowing users to simulate the application of analytical data (financeonline.com, 2018a).  It can be used to create and utilize the default and custom data connectors and templates based on the requirement of the business (financeonline.com, 2018a).  It has been named a leader based on receiving a high customer satisfaction score and having a significant market presence (looker.com, 2018).  The number of users of 90% rated it with 4-5 stars, and 80% of the users believe it is headed in the right direction (looker.com, 2018).  Figure 13 shows the satisfaction ratings.

Figure 13.  QlikView Satisfaction Ratings (looker.com, 2018).

The advantages of QlikView include the personalized data search (financeonline.com, 2018a).  Users can build applications from the software script to fit the business needs.  It offers role-based access to specific security and data access (financeonline.com, 2018a). The highest-rated features include the dashboards with 89%, followed by performance and reliability and data transformation of 87% each (looker.com, 2018).

            The disadvantages of QlikView include the predictive analytics which received the lowest-rated features of 67%, followed by the auto-modeling of 69%, and integration APIs of 75% (looker.com, 2018).  Figure 14 shows the highest-rated features and the lowest-rated features of QlikView tool.

Figure 14.  QlikView Highest-Rated and Lowest-Rated Features (looker.com, 2018).

8.  WebFOCUS

            WebFOCUS is a cloud-based business intelligence and analytics platform offering analytical tools, applications, reports and documents for business stakeholders such as management team, analysts, line-of-business workers, partners and customers (softwareadvice.com, 2018).  It provides data discovery, location intelligence, predictive and prescriptive analytics, BI smart search, and natural language search (looker.com, 2018; softwareadvice.com, 2018).  It has been named a leader on receiving a high customer satisfaction score and having a significant market presence. The number of the user of 93% rated it with 4-5 stars, and 95% of the users believe it is headed in the right direction (looker.com, 2018).  Figure 15 shows the satisfaction ratings for WebFOCUS.

Figure 15.  WebFOCUS Satisfaction Ratings (looker.com, 2018).

The advantages of WebFOCUS include the ability to create anything the customer’s request; the platform is very flexible (looker.com, 2018).  Server time is minimal and easy to host multiple, separate applications with separate user groups and roles (looker.com, 2018).  The product is user-friendly and can be used by multiple levels of knowledge (looker.com, 2018).  The highest-rated features include data column filtering with 90% ratings, followed by reports interface with 90% ratings, and user, role and access management with 89% ratings (looker.com, 2018). 

            The disadvantages of WebFOCUS include the learning curve for developers to create content, and the reporting server has a static font which is proportional (looker.com, 2018).  Some things that seem to be easy becomes difficult, and not all features work with all data sources (softwareadvice.com, 2018). The lowest-rated features of WebFOCUS include the auto-modeling with 80% rating, mobile user support with 80% rating, and predictive analytics with 81% ratings (looker.com, 2018). Figure 16 shows the highest-rated features and lowest-rated features of WebFOCUS tool.

Figure 16.  WebFOCUS Highest-Rated and Lowest-Rated Features (looker.com, 2018).

9.  Phocas

            Phocas is a leading business intelligence solution built on exceeding customer expectations (financeonline.com, 2018c; looker.com, 2018).  It helps make data-driven business decisions, see new sales opportunities, and enhance the efficiency of the business (financeonline.com, 2018c).  It is an integrated data solution, providing an innovative data discovery platform (financeonline.com, 2018c).  It is designed for non-technical users and delivers a simple and powerful analytical capability that easily turns data into a graph, chart, or map at a few clicks or touches of a screen (financeonline.com, 2018c).  It has been named a leader based on receiving a high customer satisfaction score and having a significant market presence (looker.com, 2018).  The number of users of 100% rated it with 4-5 stars, and 95% of the users believe it is headed in the right direction (looker.com, 2018).  Figure 17 shows the satisfaction rating for Phocas.

Figure 17.  Phocas Satisfaction Ratings (looker.com, 2018).

            The advantages of Phocas include gaining a quick insight into sales data, the ease of use of the product and responsiveness of the vendor (getapp.com, 2018c).  It is described to be quick and easy to get the reports the business needs, with dashboards providing summaries that can drill down into (getapp.com, 2018c).  It is accessible from anywhere and can design to suit the business needs (getapp.com, 2018c).  The highest-rated features of Phocas include the performance and reliability of 96%, followed by the data column filtering of 95% and Big Data services of 94% (looker.com, 2018).

            The disadvantages of Phocas include the cost to make it available to more employees (getapp.com, 2018c).  The lowest-rated features include the predictive analytics of 81%, followed by the breadth of partner applications of 81%, and auto-modeling of 82% (looker.com, 2018). Figure 18 shows the highest-rated features and lowest-rated features of Phocas.

Figure 18. Phocas Highest-Rated and Lowes-Rated Features (looker.com, 2018).

10.  Easy Insight

            Easy Insight is a feature-packed business intelligence platform enabling users to get an insightful overview of business operations.  The overview helps business in defining and analyzing the business data to help find better ways to improve the existing business processes or devise and deploy new strategies (financeonline.com, 2018b).  Business gets access to vital information that will help them come up with better decisions and initiate sound business actions (financeonline.com, 2018b).  It has been named a niche vendor based on receiving a relatively low customer satisfaction score and having a small market presence (financeonline.com, 2018b).  The number of the user of 100% rated it with 4-5 stars, and 100% of the users believe it is headed in the right direction (looker.com, 2018).  Figure 19 shows the satisfaction rating for Easy Insight tool.

Figure 19.  Easy Insight Satisfaction Ratings (looker.com, 2018).

The advantages of Easy Insight include data import and export, data visualization, drag and drop interface, and graphical data presentation (getapp.com, 2018a).  It also offers real-time analytics, real-time reporting, reporting and statistics, and visual analytics (getapp.com, 2018a).  It has data filtering, and customizable reporting (getapp.com, 2018a).  The highest-rated features include the performance and reliability of 96%, followed by data column filtering of 95%, and Big Data services of 94% (looker.com, 2018). 

            The limitations of Easy Insight include the activity dashboard, ad-hoc reporting, automatic notification, monitoring, and dashboard creation (getapp.com, 2018a).  The limitations also include the third-party integration.  The lowest-rated features of Easy Insight include collaboration and workflow of 71%, followed by auto-modeling of 71% and mobile user support of 76% (looker.com, 2018).  Figure 20 shows the highest-rated features and lowest-rated features of Easy Insight tool.

Figure 20.  Easy Insight Highest-Rated and Lowest-Rated Features (looker.com, 2018).

Analysis of the Selected Ten Data Visualization Tools

            Table 1 summarizes the satisfaction ratings for these ten big data visualization tools. The comparative analysis in Figure 21 illustrates visually the Sisense, Looker, InsightSquared, and EasyInsight have the highest rate in Quality of Support.  Phocas and InsightSquared have the highest rate of ease of use. InsightSquared has the highest rates of meets requirements.  Easy Insight has the highest rate for ease of admin.  Easy Insight, Phocas, WebFOCUS, InsightSquared, Looker, and Sisense have the highest ease of doing business with.  EasyInsight and Sisense have the highest rate for ease of setup.

Table 1.  The Ten Tools Satisfaction Rating Summary.

Figure 21. Illustration of the Satisfaction Ratings of the Ten Data Visualization Tools.

Conclusion

This project has discussed and analyzed ten big data visualization tools.  These ten include Sisense, Microsoft Power BI, Tableau, Domo, Looker, InsightSquared, QlikView, WebFOCUS, Phocas, and Easy Insight. Each tool has advantages and disadvantages that are discussed in this project as well.  The analysis showed that the Sisense, Looker, InsightSquared, and EasyInsight have the highest rate in Quality of Support.  Phocas and InsightSquared have the highest rate of ease of use. InsightSquared has the highest rates of meets requirements.  Easy Insight has the highest rate for ease of admin.  Easy Insight, Phocas, WebFOCUS, InsightSquared, Looker, and Sisense have the highest ease of doing business with.  EasyInsight and Sisense have the highest rate for ease of setup. Organizations must analyze each tool that can best meet their business requirements.

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