It7113 research project - group 7

Hiren Patel
Sukanya Pant
Murtuza Mohammed

 Objective: To maximize the sales for an automobile dealership.
 Agenda:
 To provide and recommend sales and marketing departments an easy to use visualization
tool to perform the sales analysis.
 Research the various Data Visualization tools (Power BI, QlikView and Tableau) to analyze
market trend of sale for an automobile dealership.
 Overview
 Basis of our comparison is the ease of understanding and usage by dealership management.
Actual users will evaluate our solutions.
 We will be asking the sales managers to see which software tool is easy to interpret the data
and is easy in deriving to a conclusion.
 Also, we will be giving our (researchers) conclusion too on the basis of ease of use, user-
friendliness, range of visualization available and time to learn the software.

 Problem Statement:
 Sales and Marketing department of an automobile dealership is doing great but are
wondering on how can they improve and analyze the sales trend and patterns to focus and
maximize the sales and purchase of cars in the right amount and direction.
 Research Question:
 Is it possible to analyze and maximize the sales using Data Visualization tool?

 We were provided primary sales data of an automobile dealership for analysis.
 Using this data, we performed a research on the top 3 Data Visualization tool that can
be used to analyze these sales data for an automobile dealership.
 Here are the top 3 Data Visualization tools:
 Tableau 10.5
 Power BI
 Qlik Sense Desktop

 Tableau leads the industry in data visualization software, the company is investing
heavily in advanced data federated, clustering, segmentation and more powerful
analytics functions. The user-friendly interface allows non-technical users to quickly
and easily create customized dashboards to provide insight to a broad spectrum of
business information. Tableau can connect to nearly any data repository, ranging from
MS Excel to Hadoop clusters.
 The drag-and-drop capabilities of the solution, paired with its extensive data source
connections, make Tableau a front-runner in the realm of data visualizations. And in
the latest release, the company’s commitment to providing a roadmap to enterprises
that reflect their urgent analytics requirements is evident in the enhancements to data
federation, streamlined interfaces to advanced analytics routines, and improvements
to mobile exploration and authoring.

 Tableau Version 10 first introduced in August 2016 with the latest release (10.5)
reflects the requirements of large-scale enterprises who have requested advanced
features found on Microsoft Power BI and other enterprise-grade analytics platforms.
Tableau has added in data federation that scales across their platform, enhanced
mobility support including enhancements for responsive mobile app design and
development, and streamlined workflows for advanced analytics.
 Tableau’s roadmap now reflects the needs of organizations that want to move beyond
the data visualization aspects of their applications and get more advanced analytics
work done. Support for more complex data federation workflows, making data
mashups more reusable and making improvements to mobile app development to
support all mobile screen sizes is now available in Version 10.5.

 Tableau has also provided a streamlined user interface that makes advanced analytics for
segmentation and data clustering possible. Tableau’s roadmap reflects the company’s
efforts to move beyond data visualization to more advanced analytics. Included as part of
this focus on broader analytics support are improvements to self-service data preparation,
more control over data governance and metadata management, additions to embedded
advanced analytics. Tableau has also included support for publishing analytic content on
a variety of publishing platforms.
 Additional improvements since Tableau 10 include improved support for REST APIs and
JavaScript, making integration across analytics platforms more efficient and less requiring
of customized programming. Tableau is also adding new features to its interactive visual
exploration functions, in addition to opening up data source integration to a broad range of
relational databases, Hadoop distributions, NoSQL and support for IBM SPSS, SAS and
open source R data files is also now included in the standard product. There is also a
Web Connector since Version 10 that supports integration to Marketo, SQL, and other
enterprise systems.

 Qlik relies on sophisticated analytics that enables data discovery using an in-memory
engine to analyze data for patterns not visible via SQL data structures or queries. The
company’s two most popular apps are QlikView and Qlik Sense. Both of these apps
are often used in core business areas including sales, marketing, operations, service
and the most common areas of analytics use in organizations, accounting, and
finance.
 Qlik has one of the most advanced Application Programming Interface (API) command
sets in the analytics industry and has continually been improving its functionality over
the last several years. With many enterprises requesting API support, Qlik has also
provided APIs to control functions previously accessible only through the user
interface. The result has been rapid adoption of the Qlik Analytics Platform (QAP),
which is being used today by developers to embed analytics queries into reporting
and analytics apps.

 Qlik is looking to create a scalable, API-driven platform that gives content developers
and line-of-business analysts a more rapid approach to defining, executing and saving
queries.
 QlikView, QlikSense, and QAP have improved implementation processes which
streamline onboarding. Because of this, customers can get greater use out of the in-
memory engine that is capable of handling complex data sources and applications. In
many respects, Qlik’s platform is starting to evolve into a viable option for data mart
and data warehouse integration. Add to this their extensive partner network of more
than 1,700 software companies across multiple geographies, and it’s clear Qlik is a
viable enterprise analytics platform.

 In addition to the above strengths, the speed at which Qlik can provide data insights
using it’s powerful in-memory analytics capabilities is gaining new enterprise accounts
for the company. Qlik also offers a powerful reporting engine, which offers data
analysis beyond visual dashboards. One additional benefit is that Qlik can plug into
almost any data source, making it the most versatile of the modern intelligence tool
offerings.
 Qlik has a reputation for having a somewhat steep learning curve the company has
worked hard to address in the current release. The vast range of Qlik’s BI tools can be
learned quickly using their online tutorials and learning systems. The product comes
bundled with numerous tutorials, how-to guides, and other self-help resources.

 Microsoft Power BI offers one of the lowest per-user pricing options to companies
looking for cloud-based analytics and business intelligence (BI) apps. Companies
selecting Microsoft Power BI do so because of the low Total Cost Of Ownership
(TCO), ease of use, and availability of skilled resources.
 In addition to these advantages, the Microsoft Power BI roadmap has made good on
the promises to enterprise customers to deliver data preparation, data discovery and
data dashboards in the most recent release. Microsoft also continues to support the
first Excel-based add-ons that were initially shipped in Power Query, Power Pivot,
Power View and Power Map. Microsoft has said these Excel add-ons will stay in the
product for the foreseeable future as they become native3 in Officer 2016. One of the
more innovative features of Microsoft Power BI is the ability to use browser- and
desktop-based authoring with apps and platforms that are both on-premise and in the
cloud. This hybrid integration strategy is based on Microsoft Azure Cloud APIs.

 Microsoft is very focused on being the leader in analytics and BI from a TCO
standpoint. Companies interested in licensing and using Microsoft Power BI can
access the platform for as little as $9.95 per user per month.
 As of January 2017, Microsoft is offering a feature-limited version of Power BI to
individuals for free that includes 1GB per user of data storage, daily scheduled data
refresh and 10K rows per hour streaming data. As of today, Microsoft claims to have
over 100,000 organizations running Power BI today globally.
 In conjunction with other Microsoft offerings, including Azure, SQL Server Analysis,
real-time data streaming, and R-analytics, Power BI provides a broad analytic
landscape. As of early 2016 Power BI does not provide extensive analytics or
visualizations, but the platform is rapidly being enhanced. So if you are in it for the
long-haul, Power BI may prove to be a good investment.

 Tableau and Qlik are comparable and share many of the same strengths and
weaknesses. The following is an analysis of how each compares:
1. Analysis and Content Creation:
 Tableau excels at advanced embedded analytics, and is a solid leader in the analytics and BI
market on this feature. Qlik lags behind Tableau on this aspect of embedded analytics.
 Both Qlik and Tableau are evenly matched on their support for SmartData Discovery as well.
 Overall, however, Tableau dominates the analysis and content creation feature set
comparison of these two companies. Tableau’s depth of expertise and feature richness are
evident in how advanced their interactive visual exploration, analytics dashboards and
support for mobile-based exploration and authoring are. Analytics supported across visual
exploration, dashboards and supporting with mobile authoring all reside in the cloud,
providing enterprises with flexibility in reporting and analysis.

2. Enterprise Data Management Components:
 Qlik’s architecture has been designed to support self-contained ETL and data storage,
making this series of features a strength versus Tableau.
 Both Qlik and Tableau are evenly matched on self-service data preparation, an area both
companies have publicly stated they are investing a significant amount of their R&D budgets
in this year.
 Both Qlik and Tableau are also evenly matched on metadata management, an area both
have designed into the core components of their applications and data platforms.
3. Features That Support Publishing Findings:
 Qlik is more advanced than Tableau at embedding analytic content, while Tableau has the
edge when it comes to embedding advanced analytics content across all platforms.
 Qlik has a more streamlined approach to publishing, sharing and collaborating with data than
Tableau. Qlik’s emphasis on delivering an excellent user experience is what makes them a
stronger contender in this area.

4. Support For Infrastructure Components:
 Regarding administrative tasks, security, and architecture, Qlik has the lead over Tableau.
Qlik’s infrastructure is designed to scale in enterprises more efficiently by providing IT with
the needed support, tools and if needed, partner support, to get up and running fast.
 On infrastructure integration, Tableau has a slight edge given the popularity, stability and
overall maturity of its APIs. Qlik also has extensive integration options and expertise, yet
Tableau has been able to capitalize on their market momentum and gain more integration
partners and support.
 Cloud BI is also a component of infrastructure, and both Tableau and Qlik are comparable on
this feature.
Bottom line: Qlik and Tableau are well-matched on all aspects of analytics and BI, with
Tableau having the edge on platform work integration and ease of use and visual
appeal. For enterprises that rely on a wide variety of data integration points, Qlik has
the edge given the depth and breadth of its options in this area.

Tableau and Microsoft Power BI are both considered superior at intuitive design and
ease of use, with Microsoft having an edge on infrastructure support and components,
and Tableau being the leader on ease of use. The following is an analysis of how
each compares:
 Tableau’s expertise in these areas of analytics and BI application development are evident in
how advanced their embedded advanced analytics are relative to Power BI. Tableau is a
generation ahead of many competitors in the fields of advanced embedded analytics.
 Also, Tableau is superior to Microsoft Power BI when it comes to creating and keeping real-
time dashboards current with real-time data integration.
 Microsoft Power BI and Tableau are comparable on interactive visual exploration and mobile
exploration and authoring.

2. Enterprise Data Management Components: Tableau and Microsoft Power BI are
comparable on the three core areas of enterprise data management.
 Both provide above-average self-contained ETL and data storage.
 Both provide self-service data preparation. Microsoft Power BI’s strength in self-service data
preparation is evident in how the user experience is designed to guide novice users yet
provide power users with the tools they need to complete data presentation tasks quickly.
 Both Tableau and Microsoft Power BI are evenly matched in the area of metadata
management as well.
 Microsoft Power BI’s ability to embed analytics content is superior to Tableau and is used
pervasively in business analytics and BI reporting workflows across enterprises.
 Tableau has more effective features for publishing, sharing and collaborating with
visualizations and data analysis completed.

 Microsoft Power BI is superior to Tableau when it comes to data source connectivity given
Microsoft’s API and Web Service expertise on Azure Cloud and on-premises integration options.
 Based on conversations with enterprise users, Microsoft’s Power BI Azure instance support is
exceptionally fast and also considered better than Tableau’s cloud BI support.
 Microsoft’s extensive administration, security and infrastructure support is also exceptional. Only
Oracle, SAP, SAS and Domo meet or exceed the depth of support Microsoft has on these
infrastructure components. Overall, Microsoft Power BI has a more dominant infrastructure
platform than Tableau.
Bottom line: Tableau excels at providing a highly interactive, intuitive series of visualization
tools and dashboard options that capitalize on the strong base of data connectors the
company has created over the last two years. Microsoft’s leadership position on
infrastructure components including administration, security, and architecture is
understandable given Microsoft Power BI being offered on the Azure Cloud Platform and on-
premise.

 Qlik continues to invest heavily in intuitive, easy-to-use product features and workflows,
which is a significant competitive advantage versus Microsoft Power BI. Qlik’s embedded
analytics capability is superior to Microsoft Power BI as well. Qlik and Microsoft Power BI
are comparable and share many of the same strengths and weaknesses. The following is
an analysis of how each compares:
 Microsoft dominates this area of the comparison with their greatest strengths being interactive
visual exploration and mobile exploration and authoring.
 Microsoft has a commanding lead from a feature perspective in each of these two years.
 Both Qlik and Microsoft Power BI also support embedded advanced analytics, with Microsoft
having delivered proven results to enterprises with this feature in use by business analysts
globally.
 Microsoft Power BI also is more effective at SmartData Recovery when compared with Qlik’s
products.
 Qlik and Microsoft Power BI are evenly matched on support for advanced analytics dashboards.

2. Enterprise Data Management Components:
 Qlik dominates the market with its self-contained ETL and data storage capabilities, outdistancing Microsoft on
this aspect of data management.
 Qlik is one of the best vendors providing analytics and BI solutions today with SiSense being the only other
vendor at this level of performance.
 Qlik and Microsoft are evenly matched on self-service data preparation and embedded advanced analytics.
 Microsoft has more expertise delivering embedded advanced analytics, but Qlik is gaining momentum in this
area due to its focus on usability and delivering greater customer experiences in their products.
 With the goals of providing the best usability possible and excelling at delivering intuitive, easy to use
applications, Qlik dominates this area of features.
 Qlik guides users through how to embed analytic content and according to enterprise users are more intuitive to
use compared to Microsoft.
 Qlik is also the superior solutions for publishing, sharing and collaborating using content as well.
 Based on personal experiences using each and from conversations with business analysts at enterprises who
have adopted each, it’s clear that Qlik has a commanding lead in this area.

 With Microsoft generating a significant amount of revenue from infrastructure and platforms, it’s a
reasonable assumption that Microsoft Power BI would dominate this highly competitive area of
analytics and BI applications. In reality, many competitors have just as good if not better
infrastructure applications and tools compared to Microsoft.
 Qlik is at a competitive parity with Microsoft in the areas of administration, security, and
architecture.
 Microsoft has a slight lead over Qlik in the area of data source connectivity.
 Microsoft leads on the Cloud BI feature set due to its depth of expertise on Microsoft Azure to
Power BI support to the platform level.
Bottom line: Microsoft Power BI has greater platform workflow integrations, more advanced
platform support for Cloud BI due to its depth of expertise on Azure, and has an easy to use
interface. Due to these three factors, Microsoft Power BI is superior to Qlik. With a core
competitive strength in usability and application design, Qlik needs to build out its platform
strategy while strengthening its SmartData Discovery and Embedded Advanced Analytics
feature sets.

 TABLEAU has an excellent pedigree, thanks to it’s 14 years of history, is the Grand
Master of Data Visualization nowadays.
 It is well suited to handling the huge and very fast changing datasets which are used
in Big Data operations, also thanks to the integration with several advanced
databases solutions available inside.
 Power BI is excellent at producing basic reports very quickly. Thanks to the full weight
of Microsoft Office behind, make operations more flexible than other softwares.
 Qlik, with its 40000 customer across over 100 countries is the other major player in
the space and Tableau’s biggest competitor.
 In addition to its data visualization capabilities Qlik offers powerful business
intelligence, analytics and enterprise reporting skills.

 Wireframe, known as the sketch of the website or dashboard frame, is a display form
for web designers and data visualizers to picturize customer needs in line with web
and dashboard design standards. Also regarded as prototype and frame diagram, a
wireframe is a vital part of a design scheme, the last delivery document of
machinators and project managers, and usually the most intuitionistic and effective
mode for design presentation.
 Goals of Wireframing
 A wireframe is the lo-fi presentation way of a product design. To understand the definition of
a website and dashboard wireframe, we need to know its three simple and direct goals:
1) To present vital information.
2) To outline the structure and layout.
3) To deliver core visualization and descriptions of user interface interactions.

 Visual Characteristics of a Wireframe:
 A wireframe have obvious limitations on visual characteristics. Generally a wireframe can be
finished by using boxes, lines, and a grayscale color palette (to represent different levels of
visual hierarchy in the design).

 A Simple Vector Wireframe
 The multitude of ultimate content—images, videos, text and so on—is left out for later stages
of the procedure. These missing parts of the interface are usually represented by
placeholders. Images tend to be represented by crossed boxes and text with Lorem ipsum.
 Benefits of Wireframing
 To figure out what is a wireframe of a website, the benifits of wireframing need to be
understood. It’s rapid and low-cost to make wirefame especially when some dedicated tools
are adopted, such as Mockplus, Balsamiq, Axure, which should be used right at the
beginning of the design process.
 Feedback information collection counts more than a detailed solid wireframe. Why?
 Generally speaking, people tend to lay more emphasis on function, information architecture,
UX, user flow, usability, user interactions, etc, instead of having these fundamental aspects
of a design being overshadowed by its aesthetics.

 Interactive Wireframe
 Designers sometimes prefer to increase the fidelity of the wireframe to emphasize the
significance of user interface in some respects, as well as to display and rapidly test the
soundness of the interactions among elements. One solution to these problems is to use
interactive wireframes, also known as clickable wireframes.
 We used MOCK FLOW” Wire Frame Service for creating wire frame / mock up for our
dashboard in research project

Analysis Type Tableau Power BI Qlik
Sales By State 5 min. 8 min. 15 min.
Sale by Make 3 min 3.5 min. 4 min.
Sale by Make and Color 5 min. 6 min. 10 min.
Sale by Make and Year 3 min. 5 min. 7 min.
Dashboard 30 sec. 60 sec. 5 min.
Note: This time is the time consumed by team members after working on all charts and
dashboard for the 2nd time i.e. after practicing one time because time trial and time consumption
goes in exploring the functionalities and features of tools.

 Tableau is more user-friendly
 Easy Drag and drop features with data cleaning as new added on features make
Tableau leader in Ease of Use followed by Power BI and Qlik.
 It is exactly what managers at dealership needs.

Following list is from most costly to least:
 Tableau
 Qlik
 Power BI
Power BI is a clear winner here as per the criteria conveyed by dealership managers.

 Tableau: Tableau is best when it comes to do analysis faster and focus on more on
selling cars.
 Power BI: Power BI stand next as it also needs less skills to create dashboards and is
compatible with MS Office products as well.
 Qlik: Qlick is more complicated to use as it needs some scripting skill for
multidimensional data and mapping features.
Tableau is obviously the best when it comes to usability but Power BI is also a good
competition when it comes to combination of usability, ease and cost factor.

 We approached the Sales and Marketing department of an Automobile dealership and
discussed about the challenges faced by them in analyzing the Sales Data and
History.
 As per the Sales & Marketing Manager, they do not have any specialization tool to
analyze the data. They extract the data from the dealership management software
and manually feed them in the order they desire on MS Excel spreadsheet or MS
Word document.
 Same data is used by sales as well as purchase team for making future decisions.
 Based on the inputs provided and available to us we offered to perform a research on
three major data visualization tools i.e. Tableau, Power BI and Qlik.
 Dealership management agreed to the proposal and gave us an extracted and
cleaned data to perform analysis on three tools and come up with the
recommendation based on their business rules and core competencies.

 Core Competency:
 Purchase and Sale of Used Car Dealership
 Business Criteria:
 Low Budget
 User Friendly Tool
 No Coding and Scripting Requirements
 Less Time Consuming
 Easily Publishable

 Dimensions
 Stock
 Year
 Make
 Model (Optional)
 Color
 Fuel Type
 Transmission
 Internet Price
 Sale Date
 Price Sold
 Address
 City
 County
 State
 Zip Code
 Measures
 Count of Stock (for Sales Count)
 Any other Measures as per the requirement for analysis

 “Tableau vs QlikView vs Microsoft Power BI.” Tableau vs QlikView vs Microsoft Power BI - Microsoft Power BI Community,
7 Nov. 2016, community.powerbi.com/t5/Power-BI-User-Group-Norway/Tableau-vs-QlikView-vs-Microsoft-Power-BI/gpm-
p/85595.
 “Tableau Software.” Wikipedia, Wikimedia Foundation, 30 Apr. 2018, en.wikipedia.org/wiki/Tableau_Software.
 Pover, Karl, et al. Learning QlikView Data Visualization Visualize and Analyze Data with the Most Intuitive Business
Intelligence Tool, QlikView. Packt Publishing, 2013.
 Clark, Dan. Beginning Power BI: a Practical Guide to Self-Service Data Analytics with Excel 2016 and Power BI Desktop.
Apress, 2017.
 “Power BI.” Wikipedia, Wikimedia Foundation, 30 Apr. 2018, en.wikipedia.org/wiki/Power_BI.
 Frye, Curt. “Tableau 10 Essential Training - Welcome.” LinkedIn, 13 Oct. 2016, www.linkedin.com/learning/tableau-10-
essential-training/welcome?autoplay=true&trk=course_preview&upsellOrderOrigin=featured-topics-card_course_image.
 www.mockflow.com
 http://camstudio.org
 https://www.youtube.com/playlist?list=PLdiVex6HxQcvIQ2SQA5W_hirIGa1OQkHk
 https://www.google.com/hangouts/
 https://www.mockplus.com/blog/post/what-is-a-wireframe-of-a-website

1. ALM Dealership Management Software.
2. Tableau Desktop
3. Excel Data Source
4. Power BI Desktop
5. QlikView Desktop
6. Ascentis System
7. Youtube
8. Slideshare
9. Linkedin
10. Wireframe (Mock Flow)

 We provided a demo of the dashboard creation with the three tools to the Sales &
Marketing Team of Dealership to evaluate the recommendation.
 Based on the presentation, Sales & Marketing Team experience and research; we
filter the result by Cost, Ease of Use, Aesthetics, time and support.
 Finally, we suggested the dealership management to go with Power BI.

It7113 research project - group 7

It7113 research project - group 7

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