Great hammer, lousy screwdriver. Data analysis becomes more critical every moment of every day. For many, Excel is the go-to analysis tool of choice. But as useful as it can be, it just can’t do it all. With pressure mounting to glean more insights from your data, spreadsheets don’t always have the capabilities to deliver the information you seek. The good news? There are plenty more tools in the box./p> Here are some ways to go beyond spreadsheets and unlock more value from your data.   View More If your Download does not start Automatically, Click Download Whitepaper Download Whitepaper

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Do your dashboards tell the story you want to get across or does your data get lost in a sea of pixels? Tableau strives to keep users in the flow with software centered on principles of design, cognition, and perception. The same principles apply to great dashboards. See how you can leverage Tableau to create dashboards that keep your audience’s attention, drive engagement, and foster understanding of even the most complex data stories. Read this whitepaper to learn three specific actions you can take with all of your dashboards to make them more informative, compelling, and effective.   View More If your Download does not start Automatically, Click Download Whitepaper Download Whitepaper

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Discover the benefits of expanding your analytics toolkit. Combine Excel’s data collection and management capabilities with Tableau’s intuitive, analytical power to transform your raw data into actionable insights. Focus on the questions that take your data beyond the spreadsheet. In this whitepaper, you’ll learn how Tableau can help you: • Get a complete view of all your data in one place • Build more insightful visualizations • Enable at-will data exploration • Share and collaborate with data   View More If your Download does not start Automatically, Click Download Whitepaper Download Whitepaper

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For many, data analysis in Excel is the norm. As useful as it can be, for delivering real insight from big data, spreadsheets simply won’t provide all of the answers you seek. Trying to use spreadsheets for advanced, responsive analytics, or analyzing large volumes of data, is using the wrong tool for the job. Too often, mistakes are made at the expense of efficiency, accuracy, and hours of lost time. In today’s marketplace, the basic, built-in charts and graphs are just table stakes, and the real data wins are found in multiple types of advanced visuals. In this whitepaper, you’ll learn how to go beyond Excel to get more from your data. Explore how to: • Use all of your data, no matter how big or where it lives • Get the complete picture with data cleansing and combining • Improve data visualizations for more effective communication • Create fast, interactive and shareable dashboards • Get real-time data and automatic updates   View More If your Download does not start Automatically, Click Download Whitepaper Download Whitepaper

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Learn about the evolving role analytics plays in organizations and businesses worldwide. Why has analytics persisted as an industry buzzword? What makes visual data analysis the gold standard for business analytics? And how have advanced and smart analytics changed the game for data discoverability? Find out why BI applications have evolved to embrace all stages of the analyst’s flow, and what that means for innovation in the workplace. This paper highlights the key terms surrounding analytics today, and discusses: • How business analytics has evolved over the years • Why visual, advanced, and smart analytics have become household names • Features of an analytics platform to look out for   View More If your Download does not start Automatically, Click Download Whitepaper Download Whitepaper

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Advanced analytics is a critical component of modern business intelligence. In today’s organizations, data scientists need a platform they can depend on while business users need tools that simplify their workflows and empower them to ask deeper questions of their data. The following whitepaper details: • How Tableau’s advanced analytics features address the most common analytical challenges for people of all skill levels. • Real-world examples of advanced analysis in Tableau including segmentation, predictive analysis, calculations, and more. Download the whitepaper to learn more.   View More If your Download does not start Automatically, Click Download Whitepaper Download Whitepaper

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Discover the unexpected; it’s all about the journey. Sounds like the beginning of a travel brochure, right? Well, it fits because visual analytics helps you navigate a world full of data. When you are trying to make sense out of your data, where do you begin? Two popular approaches to visual data analysis include data visualization and visual analytics. Each plays an important role in data exploration. You don’t have to choose one or the other— they both help you to see and understand your data. Data exploration usually starts with a question. But the answer to that question doesn’t need to be the end of the journey. In this article: • Asking “what” and “why” • The power of asking why • What visual analytics can do for you   View More If your Download does not start Automatically, Click Download Whitepaper Download Whitepaper

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Since its inception decades ago, the primary objective of business intelligence has been the creation of a top-down single source of truth from which organizations would centrally track KPIs and performance metrics with static reports and dashboards. This stemmed from the proliferation of data in spreadsheets and reporting silos throughout organizations, often yielding different and conflicting results. With this new mandate, BI-focused teams were formed, often in IT departments, and they began to approach the problem in the same manner as traditional IT projects, where the business makes a request of IT, IT logs a ticket, then fulfills the request following a waterfall methodology.While this supplier/consumer approach to BI appeared to be well-suited for the task of centralizing an organization’s data and promoting consistency, it sacrificed business agility. There was a significant lag between the time the question was asked, and the time the question was answered. This delay and lack of agility within the analysis process led to lackluster adoption and low overall business impact.   View More If your Download does not start Automatically, Click Download Whitepaper Download Whitepaper

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Data scientists and statisticians know a powerful analytical tool simply by the name “R”—an open-source, free programming language and environment for statistical computing. It is historically one of the fastest-growing statistical programming languages and a top tool of choice in the data scientist’s toolkit. Together, Tableau and R offer the best of both worlds, making it quick and easy to take advantage of data to solve today’s increasingly complex business challenges.   View More If your Download does not start Automatically, Click Download Whitepaper Download Whitepaper

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This evaluation guide aims to support IT organizations as they evaluate and select a modern BI & analytics platform suitable for broad, enterprise-wide deployment. The transition to a self-service-based, modern BI model requires IT to adopt a collaborative approach that includes the business in all aspects of the overall program (see Redefining the Role of IT in a Modern BI World). This guide focuses on the platform evaluation and selection aspect of a modern BI program. It is intended for IT to use collaboratively with business users and analysts as they assess each platform’s ability to execute on the modern analytics workflow and address the diverse needs of users across the organization.”   View More If your Download does not start Automatically, Click Download Whitepaper Download Whitepaper

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