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03 - Insights shared: You need a safe and secure way to share these data.
04 - Decisions made: Allow others to build on your work as an analyst and ask more questions with interactivity and the ability to build your own perspectives.
05 - Outcomes monitored: A robust system that can withstand hundreds of users asking questions all at the same time.
06 - Powerful and well documented management tool so the IT team can manage it without needing to require external consultants for small changes.
07- The ability to run it internally in your company's data center or in the cloud.

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Connecting to your data and analysing it:
Step 01: Data Prep / Data cleansing / ETL Extract Transform and Load.
You can do it with Tableau Prep Builder.

Step 02: Analysis and explore.
Tableau Desktop and Tableau Public

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Where the store collects the data and keeps it safe is called Transaction Processing and it ensures the data from each purchase is captured, ship to the customers and then stored in a database.
Tableau Data Extract (TDE) or Hyper or TDS: These are the file formats Tableau likes to use to store and process data and has some smarts built into it.

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Where does Tableau coming to all of these?

Tableau has 6 products that aims to solve some of the problems outlined in a simple to use and connected platform.

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This process is typically termed as analytics or business intelligence and whether you're a small one-person outfit or a large corporate business with hundreds of thousands of employees you have the same need.

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Once these goals are shared, staff need to be able to monitor what is going on so we end up going back full circle to the beginning and the cycle repeats.

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Senior colleagues or decision makers will then use these reports to reflect on how the business is performed. Set new targets or goals. Make changes to targets and then share these decisions back out to the business.

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Once they have those questions answered. It is time to share those insights. Then decisions can be made about what to do next. They might build a basic report or in large business a dashboard with lots of perspectives contained in one view. In some really old school companies you might even get packs with every report printed out for every simple aspect of the business.

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At the end of each month, quarter or even year you will want to review these sales to see how you are doing. In order to do that you need to collect the data for the period you're looking at, to make sure it is correct and there is no mistakes in it. Then, hand it over to an analyst or a data scientist to do their thing. They in turn take the data and start exploring it to find insights. This might just mean that they are looking for new trends and patterns, or they may already have some questions that they want to answer - for example, did they meet the target this month?

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Everyday's sales data store in a database. A small business might just record these in a spreadsheet in an excel file, or if you are a web first company like a tech startup, you might make it available via the web or the cloud.

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Tableau innovation is entirely focused around visual analysis!

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Tableau innovation is entirely focused around visual analysis!

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But Excel does the same thing. What is different about Tableau?

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But Excel does the same thing. What is different about Tableau?

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A tool that allows you to view your business data in a visual way.

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A tool that allows you to view your business data in a visual way.

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The necessary SQL was compiled automatically and can be viewed in the log files or the performance recorder. See the view from the performance recorder below.

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The necessary SQL was compiled automatically and can be viewed in the log files or the performance recorder. See the view from the performance recorder below.

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A simple view created in Tableau through several drag-and-drop actions

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A simple view created in Tableau through several drag-and-drop actions

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SQL and MDX

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is a automatic language in the background.

is a visual query language for databases.

is the proprietary query language behind the Tableau product suite's visual rendering.

is essentially a translator of SQL queries that traditionally return numbers and tables into an effortless visual analysis.

helps to facilitate 3 important goals that underlie Tableau's design principles: Expressiveness, Incremental Construction, and Alternatives.

, like the standards,  generates a WHERE clause for filters, an ORDER BY clause for sorting, a GROUP BY clause for controlling level of detail and aggregation, etc.

As a declarative language, VizQL allows a user to describe ‘what' picture should be created, not necessarily ‘how' to make it.

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Hire a Delivery-Translator

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Build a "Storefront" App.

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How to access the files?

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SQL is a language that communicates with databases. To pull, adit, add information to a database.

How does SQL work?
Think of:
- Database as a warehouse.
- Data tables as filing cabinets.
- Data as files.

This warehouse or database stores data.
The warehouse database was built using coding languages like C++ or C or Java

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What is SQL? [in 4 minutes for beginners]

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Tableau is a VizQL (Visual Query Language). VizQL is a visual query language for databases.

But first: What is SQL (Structured Query Language):

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what are the design principles that underlies Tableau's approach to data visualisation?
There are lots of abuses in the field of data visualisation, according to the book (How Charts lie).

One of the right ways to help people understand meaning of data is knowing and respecting the users and providing freedom. Enabling them to have incremental interactions. Most importantly, immediate feedback. In Tableau everything is direct, safe and simple. Tableau has apply Tufte's techniques and best practices in the product.

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Edward tufte popularised the craft of the visual representation of data and he was harshly critical of some of the computer programs the way they use visualisation (for example: Power point)

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Why is visualisation so important?
Our vision is one of ours most important senses. Tableau makes tabular data visually understandable. The people would be able to understand the meaning of data rather than looking at a long list of numbers. Data visualisation drives the engagement of the user.

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Tableau is using visualisation technology to help people understand data. It is not only a visualization tool. It is using visualization techniques to bring data to life and help people think with data. Tableau is a visual analytic solution to help people ask questions of data, go deeper in their data. explore it anyway they want.

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This is an overview of Tableau workspace application.

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Tableau has changed the way people work with data. It is a tool that has democratized data analytics.

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The Future of Data and Visualization:
Francois Ajenstat, CPO at Tableau.

1. Ins and outs of Data-Viz
2. Data integration at Tableau
3. The future of AI

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(Part 1) EP.2 The Future of Data and Visualization with Francois Ajenstat, CPO at Tableau