Big Data

Business Intelligence and Analytics for the Enterprise

Enhancing the use of Big Data in your organization

The definition of Big Data highlights just some of the problems of working with very large data sets:
Data sets so extremely large or complex that traditonal data processing, storage, and analysis software is incompatible or incapable of handling them.

But these aren't the only challenges that analysis of this scope and scale pose. Other Big Data analytics challenges focus less on the management and analysis of data and more on how the data (pre- and post-analysis) is communicated, circulated, and utilized throughout an organization.

Common issues surrounding Big Data include:

  • Difficulty communicating data and findings to non-analysts in an impactful way
  • Inability to account for the multiple contexts data have in an organization
  • Only highly-skilled BI analysts and data scientists can work with the data, limiting access and opportunity for insight

Getting results from your data

There are many challenges when working with Big Data. From adding structure to unstructured data, to finding meaning in a sea of data points, there's plenty of hurdles to clear.But the chief challenge in the organization has less to do with software and more to do with people.

New, previously unseen patterns emerge when we combine and cross-examine very large data sets. These patterns contain critical business insights that allow for the optimization of business processes that cross department lines.

Facilitating your organization's data and analysis needs

There's no shortage of software available to store, query, and analyze your data. From heavy-duty statistical software such as R, to query engines designed for large-scale data sets like Cloudera Impala, you're sure to find tools to get the job done. However, these software solutions are rarely enough on their own.

They all encounter two problems: They restrict the ability to query the data to just a few people within in an organization and they don't allow for simple, intuitive communication of the data. Industry experts have acknowledged this problem for years.

Read management consulting firm Bain and Company's report on the organizational challenge of Big Data

The challenge of ad hoc analysis of and reporting

Many experts have identified the challenge of communicating findings within complex data sets to non-analysts as one of the chief challenges in business intelligence today. How do data scientists and analysts communicate complex data to non-analysts? And more importantly, how can post-analysis data or reporting better answer the questions of the organization?

Tableau solves for this, and other issues surrounding data analysis and reporting.


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Tableau for the Enterprise

From department heads to the C-Suite, here's what you need to know

For organizations tackling big data projects, Tableau is the perfect tool for democratizing your data and getting the most value from your analyses. Deploying Tableau to the entire workforce creates a data-driven culture. People hungry for answers can now find them, increasing the opportunitiy to deliver new insights about data you already have. Explore Tableau for enterprise and start making data discoveries.

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Tableau meets the needs of Big Data for business intelligence

Tableau delivers three key benefits to the Enterprise.

It consolidates data: no more pulling individual reports from multiple software or databases. See it all in one place and discover new patterns you might never have seen using separate individual reports.

It visualizes data: understand your data instantly. Spot trends faster and convey complex information in an easy-to-consume format.

It democratizes data: explore your data through the eyes of your entire organization, allowing for more questions to be asked and more discoveries to be made. Ad hoc analysis becomes effortless and the sharing of data gives the organization a clear view of your challenges and opportunities.

How do I deploy Tableau in an enterprise setting?

The complexities of enterprise software deployment are many. To learn more about what it takes to deploy Tableau in your organization, start with our enterprise guide that address concerns according to job role. We have a guide for leaders, as well as a technical guide for IT staff responsible for deploying the software to ensure there's no surprises when it comes time to launch.

Get started with the guide here

Turning big data into business intelligence

BI analytics evaluation guide

Our guide to selecting the best business intelligence platform can help you decide which software is right for you, whether you use big data or not.

Delving into Data for Small Business

How can small businesses capitalize on the data they already have access to, and what value might they find there? This whitepaper explores the ways smaller companies can leverage big data.

Ernst Young saves clients millions

Find out how Tableau has enabled professional services organization Ernst Young, an enterprise operating in over 150 countries, to save clients millions of dollars with customized datasets and prevent fraud before it ‘snowballs.’

Easy to implement Big Data analytics for any business

Fast, simple integration with leading software

Tableau offers OEM compatibility right out of the gate for many kinds of software aimed at wrangling and processing very large data sets, with additional connections available via web data connector. We know what software Tableau users work with and we constantly build out new integrations to make connecting to your data as simple as possible. So whether you use Hadoop and R, or Google's Cloud Platform, you'll be able to make your own data discoveries with ease.

See whether we natively connect to your data source by viewing our Drivers Page

How does Progressive Insurance use Tableau?

See how easy it is to connect

Connecting to your data is simple. Do more with your data by joining or blending data for more meaningful analysis. Make actionable data discoveries today instead of weeks or months, then distribute your findings easily. Try it for yourself and see.

Tableau was probably the easiest approval we've ever had because the ROI was already there after 14 days.


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Big Data analysis for everyone

Driving data discovery through interaction and access

Tableau drives data discovery through data visualization, built-in computations, the ability to execute queries without code, and by providing access to ad hoc analysis without the need to allow users access to the source-- ensuring data integrity while promoting the democratization of data. Get more from your data and your people. Dive into big data with Tableau.

Explore this workbook that uses ecommerce as an example. Sort and sift through the many layers of data and see how Tableau might help you do the same. Want to explore more workbooks?
Start here.

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Top 10 Big Data Trends of 2017

Stay ahead of the curve with these 10 trends

As an anlytics and BI company, Tableau works with many companies that leverage Big Data. We love staying in touch with our customers to understand how they use our product and what their needs are with regard to using Tableau to tackle their data problems within their organization. This relationship provides unique insight into how multiple industries are approaching Big Data. From how they use it, to what challenges are presented from the user and the enterprise perspective, staying engaged with the larger industry conversations regarding data is a top priority.

See what we learned in 2016 and what we're expecting to see in 2017

Tell me about 2017 Big Data trends