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Webinar: What's New in Tableau 2020.1

Tableau 2020.1 is here - and with it, the future of analytics. With significant updates such as Customizable Discover Pane for Tableau Desktop, Dynamic Parameters and significant improvements for Explain Data, the way your organisation interacts with data is rapidly changing.

Watch this webinar to see Biztory experts outline innovations in Tableau that are bringing you closer to your data. 

10 Best Practices for Building Effective Dashboards

Visualising data in a dashboard is easy. But doing it in a way that empowers your organisation to make better decisions fast and based upon a single source of truth isn't. Luckily, there's Tableau to make your life a whole lot easier. Read this white paper to learn best practices for building effective dashboards for your audience in Tableau.

Visual Analysis Guidebook

Visualising data in a dashboard is a great first step. But how do you get it to a next level? Bringing your visualizations from "good" to "great" takes time, patience and attention to detail. This white paper provides you with valuable insights on how you can make your visualizations more effective.

Embedded Analytics With Tableau

In an age where data is king, the most effective way to offer state-of-the-art business intelligence within any application is through an Embedded Analytics partnership. Not only do customers expect to utilize application data, they want to access it anywhere, even on their mobile devices, and with the latest, greatest, and fastest visual reporting tools available for easy insight-to-action.

Whether your application provides customer experience management, electronic patient records, RFID asset tracking, or recruiting and HR management, go to market quickly with a partnership that will provide the most current and proven technologies available.

Managing Data Prep with Tableau

With self-service analysis the new norm for data-driven organizations, many people will do what prep they can with the available tools and capabilities to make the data work for them—whether it’s cutting and pasting or writing huge calculations that aren’t optimal for the server. Even analysts report that the majority of their job is not analysis, but actually cleaning and reshaping data—with an ETL process, in self-service data prep tools, or even in spreadsheet tools like Excel.