Resource Library

Access the latest white papers, research, webcasts, case studies and more covering a wide range of topics like physical security and data protection.

Filter the library by ...

2018 Top 10 Business Intelligence Trends

The pace and evolution of business intelligence solutions mean what's working now may need refining tomorrow. From natural language processing to the rise in data insurance, we interviewed customers and Tableau staff to identify the 10 impactful trends you will be talking about in 2018. Whether you're a data rockstar or an IT hero, these trends emphasize strategic priorities that could help take your organization to the next level.

5 Best Practices for Tableau & Hadoop

In an age where people can analyze millions or even billions of rows of data at their fingertips, a user's expectations is that they have near instantaneous results. When a user's interactions & response times take more than 2-3 seconds, they become distracted from being "in the flow of visual analysis." Thus, it is imperative to provide fast query speeds to keep users engaged so that they can gain more insight from their Big Data deployments.

Define Analytics: The Changing Role of BI's Favorite Catch-All Term

Twenty years ago, we relied on highly trained technical specialists to make sense of database modeling, which left analytics to large enterprises with time on their hands - and even then, insights were outdated the minute they were printed on paper. They weren't actionable at all. But today, businesses of all sizes can connect to and analyze data (even big data) to educate each other and drive better business decisions.

How Data Gravity is Pulling Your Analytics to the Cloud

Data and applications used to be hosted locally, on organizations' own premises. But a cloud-computing revolution has changed this default. Data is moving to the cloud and data gravity is changing how software is run in organizations. But what is data gravity?

Top 10 Big Data Trends

More organizations are storing, processing, and extracting value from data of all forms and sizes. Systems that support large volumes of both structured and unstructured data will continue to rise. The market will demand platforms that help data custodians govern and secure big data while empowering end users to analyze that data. Take a look at what we anticipate to see with Big Data in the coming year.