top of page

ABOUT

TABLEAU

In 2020 the world will generate 50 times the amount of data as in 2011 and 75 times the number of information sources (IDC, 2011). Within these data are huge opportunities for human advancement. But to turn opportunities into reality, people need the power of data at their fingertips. Tableau is building software to deliver exactly that.

 

Tableau products are transforming the way people use data to solve problems. They make analysing data fast and easy, beautiful and useful. It's software for anyone and everyone

 

- Tableau Software

What is Tableau?

Tableau is a powerful and fast-growing data visualization tool. It helps in simplifying raw data into an easy to read dashboards and worksheets. Visualise your data easily and quickly with Tableaus powerful capabilities and ease of use. 

​

Check out the video to learn more.

Tableau Mobile.

Don't wait to get back to the office or for your plane to touch down. With interactive previews, your data is always at your fingertips whether or not you're connected to your network. Regardless of where you are or when you need it, Tableau Mobile keeps you and your data in sync

Developer Tools.

Tableau's developer tools and APIs allow you to integrate, customise, automate, and extend Tableau to fit the specific needs of your organisation. Go beyond what's in the box to make Tableau the perfect fit for your organisation.

What is Data Visualisation?

Essentially Data Visualisation is the graphical representation of information and data. By using visual elements like charts, graphs and maps, data visualisation tools provide an accessible way to see and understand trends, outliers, and patterns in data.

​

Seen as our eyes are drawn to colours and patterns. We can quickly identify red from blue, square from a circle. Our culture is visual, including everything from art and advertisements to TV and movies. 

 

Data visualisation is another form of visual art that grabs our interest and keeps our eyes on the message. When we see a chart, we quickly see trends and outliers. If we can see something, we internalise it quickly. It’s storytelling with a purpose. If you’ve ever stared at a massive spreadsheet of data and couldn’t see a trend, you know how much more effective a visualization can be.​

 Creator.

Creators are anyone in your organisation who connects to sources of data and crafts that data into something useful for themselves and others.

In your organisation today, they likely create reports and distribute them through email or a shared drive. They are performing ad hoc analysis to answer deeper questions of their data. 

​

The creator licenses is a desktop or server-based application.

Explorer.

In Tableau, Explorers will be able to build new workbooks themselves using published data sources or start with existing workbooks and dashboards, all through their browser or mobile device. But they won’t stop there.

They’ll ask and answer deeper questions that may not have been answered in the initial round of reporting. 

​

The Explorer License is a server-based role.

Viewer.

Viewers will use the Tableau Platform to back up their intuition with facts and make data-driven decisions based on dashboards created by your Creators and Explorers. Viewers can interact with the dashboards and data visualisations to inform their decisions and put data at the centre of every business conversation. 

​

The Viewer licenses is a server-based role.

Tableau Prep

Tableau Prep changes the way traditional data prep is performed in an organisation. By providing a visual and direct way to combine, shape and clean data, Tableau Prep makes it easier for analysts and business users to start their analysis, faster.

How do you decide on the right mix of users for your organisation?

Now more than ever people need access to data to do their jobs better. But their relationship to data can differ. This is why we created different roles to match the different data needs of your people. These roles will allow you to share data with your teams in a secure way while allowing for the differences in the way people interact with data.

​

Your organisation is full of people doing different things with data. Some use data to answer questions to drive their businesses forward and to accomplish their team goals. Others prepare spreadsheets and reports that they send out to others in their company. Some ask deeper questions of their data like, “Well it’s good to know that sales are up in the eastern region, but what’s driving that growth? How do we take what’s working there and bring to other areas?” While others pull in raw data from software apps they use so they can see what’s really going on, and grab quick snapshots of important KPIs to use during team meetings or to present to customers. Our new offerings are designed to meet the different needs of the people in your organisation.

​

From the Creators to the Explorers and Viewers, Tableau meets the varying needs of everyone and helps all of them do their jobs better.

Questions? We have answers.

If you have any questions, one of our knowledgeable account managers can help you choose the best mix for your team. 

Some more questions to help assess your team's needs

One way to help with this decision is to think about your team's’ current interactions with data and analysis tools. Ask yourself these questions:

  • How many employees currently use MS Excel or other spreadsheets for data preparation or analysis but aren't able to easily visualise the results?

  • How many employees do you have with "analyst" in their titles? 

  • How many of your team members send spreadsheets out to distribution lists or upload them to share drives for others to consume? 

  • How many team members receive these spreadsheets and use them to inform their decisions or do their jobs?

  • What kinds of analytical tasks does your team currently perform or would like to perform?

  • Do they work directly with data to create analytical content? If no, would you like them to?

  • Do they collaborate with others around data? Can they do this easily?

  • Do they receive monthly reports with data created by others? What about automated reports?

  • What kind of derivative content is produced from emailed reports?

bottom of page