Tableau Visual Gallery

See what you can accomplish with data and Tableau

Sales Forecast - What happens if sales grow but so does customer churn?

Tableau Sales ForecastingOne of the most common analysis for any business is what-if analysis. In this visualization we're building a sales forecast based on two important unknowns: the new business growth rate, which will be affected by the state of the economy, and the customer churn rate, which will be affected by customer service and competitive offers. Use the sliders to adjust these variables and do what-if planning for the business.

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Analysis of CRM data

Tableau crm dataThis CRM-oriented workbook was created from Microsoft’s Adventureworks demo data. There are two tables that have been joined: Opportunities and Accounts. This visualization shows how industries are feeding the pipeline based on probability. Auto (blue) clearly dominates each probability stage for Eastern and Western while Central appears to rely on Healthcare.

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Product Survey Analysis

Tableau product surveyTired of identifying your best or worst-performing products? Can’t tell when you should wind down your marketing campaigns? Tableau can help. slice survey results by state, marketing costs and customer interest. Extrapolate from sales data to estimate when product fads will pass. when you can visualize your data, you're not spending money in the dark.

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Company Performance

Tableau company performanceThis analysis shows the revenue of the top 100 publicly-traded technology companies from the common baseline of their first year of operations. Common to popular opinion, every company-- even the most successful ones-- did not get to $50 million of revenue in a matter of a few years or less. Browse the data to find many familiar companies.

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Oil Prices and Volatility

Tableau Oil Forecasting IIThis visualization is simple but striking. The thee measures (average, minimum and maximum price) show us the difference in prices nationally. The color of the "path" in between them is the volatility, darker in times of violent price swings and lighter during more stable periods.

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