Analytics
News, events, thought leadership and more.
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It’s an exciting time in the analytics space - disruptive technologies and companies are emerging to deliver on the promise Big Data. While Hadoop has emerged as a key technology in Big Data, many business analysts and users are still trying to figure out how Hadoop fits into their analytics strategy. And Alteryx, along with Hortonworks, is providing you the information you need to understand Big Data Analytics and its benefits. |
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Last week Alteryx released a joint whitepaper, “The Business Analyst's Guide to Hadoop.” Hundreds of people have downloaded the paper as they sort out what they are doing around Hadoop and Big Data Analytics. (You can read more about the whitepaper on the Hortonworks blog in this post: “Getting Started with Analytics with Alteryx and Hortonworks.”) The upshot is, the more we can empower business users to get started with analytics, the more analytics-driven decisions can be made in an organization. Instead of providing analytics capabilities that are accessible only to IT developers and data scientists, a new breed of providers is making analytics available to business people – the ones who understand the business questions, and can find the right answers. That is largely what Alteryx is all about – Humanizing Big Data. |
Hortonworks Sandbox
Hortonworks is also providing business people access to Big Data tools. Although Hadoop deployments are typically the stuff of IT departments and data scientists, Hortonworks offers the Hortonworks Sandbox to enable line-of-business users to start running Hadoop and start learning about Big Data.
Alteryx can access the data in the Hortonworks Sandbox and then perform statistical, geographic, and even predictive analytics. The ability to add greater context by blending Big Data stored in sources such as Hortonworks Sandbox, with other data sources using Alteryx, gives analysts a deeper business or customer understanding and helps predict future outcomes. Alteryx offers a range of packaged datasets that enable organizations to combine their internal data with third-party data providers, including Dun and Bradstreet, Experian, The U.S. Census Bureau, TomTom, and many others. The combination of multiple internal sources and external sources provides the context that can drive powerful insights that are the promise of Big Data.
Predictive Customer Analytics Demo
Alteryx and Hortonworks have put together a Predictive Customer Analytics demo that helps illustrate how line-of-business users can start working with Big Data Analytics and create insights immediately. This demo uses both the Hortonworks Sandbox and the new Alteryx Project Edition to enable you to load data and run the predictive analytics that, in this case, determine which customers an organization should focus on with specific marketing efforts.
This demonstration combines customer, transactional and demographic data, so you can analyze customer characteristics, and predict who will be most responsive to marketing campaigns. Alteryx combines these disparate data sets, runs in-database analytics, creates a decision tree, and determines the variables that show the best targets within a geographical area. This demo provides the dataset and the workflow template. You can run this app directly from the Alteryx Gallery, but if you want to get a deeper understanding of what is going on, you can download a free version of Alteryx Project Edition to view, run and modify this demonstration. You can view a video showing the demo here.
- Register for the webinar “3 Keys to Improving Your Analytic Results with Hadoop”
- Visit the Alteryx/Hortonworks webpage
Brian Dirking
Director of Product Marketing.
