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.

1. TABLEAU
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2. WHAT IS TABLEAU ?
• This Century is being governed as well as ruled by Data & Information. Data is
prerequisite for Information. Everything is hovering around Data. There lies the
need of Data Representation effectively & efficiently.
• To visualise the Data in a interactive way we need Tools , business intelligent
tools. Tableau is one of them.
• Tableau is the fastest growing data visualisation tool used in the BI(Business
Intelligence) Industry.
• It helps in representing the data into simplified User readable & understandable
format.
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3. WHY TABLEAU ?
• Companies tend to ignore the traditional written, Audio-Video data sources.
• Current Tech Gen looks for Eye Catching Images instead of boring old school
data in pen & paper.
• As per various Psychological research, 90% of all the information that people
remembers comes from their strong sight sense rather than reading, writing or
memorising.
• By simply putting all the necessary data or info in pictorial , graphical image the
outreach of the same gets enhances.
• It also helps in improving Organisation’s overall capacity as well as Employee
performance.
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4. TABLEAU - History
• Tableau Software is an American company founded in January 2003
• Christian Chabot, Pat Hanrahan and Chris Stolte are the founders of the
company
• On August 1, 2019 Sales Force acquired Tableau Software Company
• Tableau products query relational databases, online analytical processing
cubes, cloud databases, and spreadsheets to generate graph-type data
visualizations.
• The products can also extract, store, and retrieve data from an in-memory data
engine.
• Tableau has mapping functionality & it is able to plot Latitude & Longitude
coordinates and connect to Spatial Files.
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5. TABLEAU - Products
Tableau has many variants based on the user requirement as well feature wise.
The same is depicted below :
• Tableau Desktop (Both professional and personal editions)
• Tableau Server
• Tableau Online
• Tableau Prep Builder (Released in 2018)
• Tableau Vizable (Consumer data visualization mobile app released in 2015)
• Tableau Public (free to use)
• Tableau Reader (free to use)
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6. TABLEAU - Features
Tableau has many features but the most important ones are categorised below :
• Data Blending – Data blending is one of the most important & powerful feature
of Tableau. It is used when there is related data in multiple data sources , which
we can analyse together in a single view using this feature.
• Real Time Analysis – It enables the user to quickly analyse & understand
dynamic data , especially when the Velocity is high. Tableau can help in
gathering useful insights from fast moving data with the help of interactive
dashboards, charts etc.
• Collaboration of Data – To make data analysis a Team Work, Tableau helps us in
collaborating the data across user platforms.
• Ease of Use – Using Tableau does not require any Coding background. That’s
why its popular across Non Technical/Developer field as well.
• Visualisation Capabilities – It converts unstructured statistical information into
comprehensive logical results, which are interactive dashboards.
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7. TABLEAU – How Does it Work ?
• The ultimate objective of Tableau software is to connect & extract the data
stored across platforms. It can gather insights from platforms such as Excel ,
PDF(Simple ones) as well as Oracle, Cloud , SQL(Complex Ones).
• Readymade Data connector is there in Tableau. Depending on the Version we
are using Data connector count will vary.
• User data that is connected to the Tableau Software will be used by Data Analyst
, data engineers to create the visualizations. The visualizations created by them
is viewed by the User via Tableau Reader.
• Tableau Desktop Data can be published to the Tableau server. This is an platform
where collaboration, distribution, governance, security model, automation
features are available. However, Tableau server gives users a better experience
in accessing the files across locations.
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8. Excel Vs Tableau
• Microsoft Excel & Tableau are Data Analysis tools but visualization of data in
Excel is quite poor.
• Excel works in Raw – Column Model whereas Tableau is Drag & Drop Mode that
formats the data into Graphics, Pictures etc.
• Excel performs in a moderate speed with no option of enhancement whereas in
Tableau we can optimize & enhance the progress of an operation.
• In-built security in Excel is very week but in Tableau extensive options are there
to secure the data.
• Real time data analysis is possible in Tableau.
• In Excel – to utilize the full version Visual Basic & Macro scripting knowledge is
required but in Tableau there are no such requirements.
• Excel is good with Small Data but for Big Data you need to look for Tableau.
• Excel gets integrated with 60 Odd applications whereas Tableau integrates with
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9. TABLEAU - Limitations
Tableau has many features but the most important ones are categorised below :
• High Cost with Inflexible Pricing – License cost for Tableau is quite costly for Small &
Medium organisation with Limited BI Requirement. Moreover , Sales Team is not
flexible enough to provide case to case feature wise licensing since most of the
companies are not using all the features diligently.
• Customer Service – After Sales – After Sales service of providing solution to the
client’s software related issue is very poor.
• IT & Security Challenges – Centralised level Data Security is missing in Tableau.
Moreover, to use Tableau in full fledged manner deployment of IT Team is must to
understand & work on the line.
• Poor BI Capability – Drag & Drop Option is there but it is not using the AI(Artificial
Intelligence) to represent the data on its own. User himself need to see which is the
best way of representation.
• High Employee Training Cost – Basic use of Software can be done by Non Technical
background people but since its features are vast. To use all those one need to have
proper training , IT Structure which requires a lot of time & money.17-03-2020 9PRATIKPATAWARI@LIVE.COM

10. THANK YOU
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