Self-service Analytics for Cloud-based Data Using Alteryx, Amazon Redshift, and Tableau

By Maimoona Block on Jul 27, 2015 - 10:07am

As you may have noticed, we’ve continued to rejoice in the idea of Analytic Independence (#analyticindependence), which recognizes and celebrates that the power of data blending and advanced analytics is now in the hands of the data analysts – the people who know the data best, and who want to work without restraint to create the dataset they need to answer the big business questions.

Impact of Data Blending in Midsized Companies

By Ritu Jain on Jul 23, 2015 - 11:07am

Data blending, i.e., the ability to access, integrate, cleanse and enrich data from multiple data sources, is the linchpin of deeper, more impactful insights. Analysts across sales, marketing and operations cite the lack of data blending capabilities to be the primary reason for not using the right data to drive critical business decisions. The impact of not having data blending capabilities in the line of business is lost revenues, missed opportunities and lower profitability.

Source: Alteryx Data Blending Survey

Growing Joint Customer Success with Amazon Web Services and Alteryx

By Maimoona Block on Jul 6, 2015 - 04:07pm

While the relationship between Alteryx and Amazon Web Services is not new, the rapidly growing list of joint customers who have found success with Alteryx and Amazon Web Services has led to Alteryx being named as an Advanced Technology Partner within the Amazon Partner Network. Whether our joint customers are using Amazon Redshift, Amazon S3, Amazon EC2, or other Amazon Web Services alongside Alteryx, in all cases they saved time, money, and enabled self-service analytics, leading to enhanced decision making-subsequently enhancing revenue, gaining competitive advantage, furthering customer acquisition and more. Here are some highlights, click through for more details.

Metadata, Redcoats and Networks

By Ramnath Vaidyanathan on Jul 6, 2015 - 09:07am

At Inspire 2015, George Mathew, our COO and President talked about how analytics could have been used against the sons and daughters of the American Revolution. In honor of the 4th of July U.S. holiday, I thought it would be interesting to elaborate on that piece and showcase some of the newest features in Alteryx.

The Perfect Analytic Ingredients: Data Blending and Predictive Analytics

By Matthew Madden on Jun 30, 2015 - 12:06pm

Every analyst knows that great analysis starts with the right data. Predictive analytics is no different. To build the best performing models, it is critical to get the data in the best shape before running the analytics and building out the modeling process. That is why we are happy to release the latest in our "cookbook" series, the "7 Steps to Data Blending for Predictive Analytics."

Spark – The Future of Analytical Computing

By George K. Mathew on Jun 26, 2015 - 12:06pm

It was our pleasure this past week to participate in SparkSummit West and have Alteryx be included in the speaking line up. The incredible growth of SparkSummit has been breathtaking (doubling each of the past two years to now 2,000 attendees) and certainly reflected the energy of Spark as movement in the Big Data ecosystem.

Alteryx became really focused on Spark and specifically SparkR as some of our largest customers needed scale-out capabilities for their predictive analytics projects. While Hadoop offered the opportunity to take advantage of petabyte-scale data management, we quickly realized that MapReduce was not built to do interactive analytic workloads. Thus, it became apparent that RMR (R-MapReduce) was not likely to be useful for either compute scale-out or ease of use.

Alteryx Brings Analytic Independence Roadshow to 25 Cities

By Rick Schultz on Jun 17, 2015 - 10:06am

Our Inspire 2015 conference in late May grew 50% from the year prior and saw nearly 1,000 data analysts and analytics leaders gather in Boston to celebrate Analytic Independence. We were fortunate to have fantastic speakers from many of our customers at Inspire, including Audi, The Home Depot, Cineplex, EMC, Cardinal Health, easyJet, and more – all highlighting various forms of data blending and advanced analytics and use cases spanning customer analytics, workforce analytics, safety analytics and financial analysis.

Target Alumni with Data and Analytics

By Beth Narrish on Jun 15, 2015 - 10:06am

In my last blog I told you how universities can leverage classroom engagement data, on-campus activity data, academic performance and well-being data, to better understand retention patterns and students who may drop out of classes, programs, or the university as a whole.

Alteryx @ Spark Summit West 2015 - San Francisco, June 15-17

By Maimoona Block on Jun 9, 2015 - 09:06am

Spark Summit West 2015 will be held June 15-17 in San Francisco and we're excited to be a sponsor. On Tuesday, Alteryx President and COO George Mathew will be onstage with Databricks' Arsalan Tavakoli, discussing our commitment to Spark and our collaboration with Databricks on SparkR. Empowering data analysts with Spark enabled advanced predictive analytics through familiar drag and drop R macros has always been a priority, and we've been busy as one of the primary contributors to SparkR, creating a R API that's a first class citizen of the Spark platform.

Retain the Best Students with Data and Analytics

By Beth Narrish on Jun 4, 2015 - 10:06am

In my last blog I told you how universities can profile existing successful students and leverage those profiles to recruit students who exhibit similar characteristics, giving you the ability to target each student segment appropriately, with the right message and the right medium.

A second higher education use case is student retention. As with determining the right university fit for a given student, each also has individual needs to help them succeed while in university. Whether a full-time or a part-time student, financial restraints never stop, and neither do classroom demands. Some students may need additional financial aid as they progress through programs, tutoring, housing assistance, etc.


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