Checklist: 6 Must-Haves for Your Advanced Analytics
Your data holds the key to everyday business opportunities and eureka moments alike. It’s your job to uncover them. And it’s the job of your visual analytics tool to facilitate the exploration that leads you there. It should augment your intellect and curiosity. It should equip you with the ability to ask deeper questions of your data—to go beyond the standard KPIs and unearth new meaningful insights.
To empower users to ask deeper questions, a visual analytics tool should make powerful analytic techniques addictive. You should be inspired to ask sophisticated questions of your data with advanced analytics that are both accessible and mature.
To uncover the power of advanced analytics—with or without coding—here’s what your visual analytics tool should allow you to do:
Change your perspective
Stay in the flow with Tableau's intuitive interface. Features like Show Me instantaneously reveal the rich analytical stories in your data. Here, we visualize tourism by country as side-by-side and stacked bar charts, dual lines, and more. Dig deeper into the tourism data in an interactive analytics game:
Group it up
Creating groups in Tableau adds incredible value to your viz's ability to highlight the right data points, and they're just one click away. Here, we highlight the top-performing countries in terms of tourism expenditure by grouping them and sorting. Dig deeper into the tourism data in an interactive analytics game:
Give me the parameters
By using fields from your data set as parameters in Tableau, you empower everyone to find the angle they're looking for with rapid data comparisons. Here, we create two views—one for tourist arrivals and one for departures—on the same map, so it's immediately obvious how tourism compares by country. Dig deeper into the tourism data in an interactive analytics game:
Write a calc
Tableau's robust built-in calculation language means you can always find a path forward in your analytic journey. Here, we write a calc for percent of total tourism expenditure by country, and visualize the results in a filled map. Dig deeper into the tourism data in an interactive analytics game:
In Tableau, trend lines are right where you need them, so you can verify that your p-value is statistically significant and get to next steps. Here, we perform trend analysis on in-country tourist spend to understand the trajectory for the tourism industry by region. Dig deeper into the tourism data in an interactive analytics game:
R u into Python?
Integrate with R and Python directly in Tableau so you can leverage preexisting models or script in-app. Here, we perform multiple linear regression to discover how many tourists are required to reach a specific income goal. Dig deeper into the tourism data in an interactive analytics game:
Get to the Good Stuff with Tableau
Standard KPIs and metrics answer some of your questions, but in a fast-changing world you need a tool that inspires deeper exploration of data. Look for one that empowers users to go beyond the first question and ask the next one, and then the one after that, inspiring “a-ha!” moments again and again. You want a solution that is both sophisticated enough for a data scientist and accessible and intuitive for a business user, so everyone can stay in the flow of their analysis, moving with their questions at the speed of thought.
In many ways, Tableau stands alone among analytics platforms. Because of our mission to augment human intelligence, we designed Tableau with both the business user and data scientist in mind. By staying focused on our mission to empower users to ask interesting questions of their data as quickly as possible, we built a platform that has valuable functionality for users of all levels.
Tableau’s flexible front-end allows analysts to ask questions of varying complexity. By leveraging sophisticated calculations, R and Python integration, rapid cohort analysis, and predictive capabilities, data scientists can complete complex analyses in Tableau and easily share the visual results. Whether you use Tableau for data exploration and quality control, or model design and testing, the interactive nature of the platform saves countless hours across the lifetime of a project. By making analysis more accessible and faster to complete at all levels, Tableau drives critical collaboration and better decision-making throughout the enterprise.