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Innovation and science have long been lauded as domains of the mighty and few. With Big Data helping to define a new wave of technology and innovation, the challenge with this particular wave of innovation is that it is being discussed in the context of a new and exclusive group of people: the data scientist.
Like data discovery and legacy business intelligence before it, Big Data analytics should to be put into the hands of the majority of people who provide business insight to decision makers. This mass of people - data and business analysts - needs to be provided with the tools and skills to take advantage of advances in the state of the art. Giving them these capabilities now, not after a long period of training or change, elevates their capability and insight to that of the data artisan.
We need to humanize Big Data by making the ability to get value from it a mainstream capability and to allow the mainstream analytics user to bring together a full data picture in order to tell the Big Data stories that drive business change.
To do this we need to bring the following capabilities into a single platform or tool:
- Access to the full spectrum of Big Data from Hadoop or NoSQL, to log files or text in ERP systems
- Big Data and Predictive Analytics in the same workflow
- The ability to integrate and cleanse Big Data with any other piece of data as part of the process of analysis
- More context about the people, processes, and location
To paraphrase and build on Saul Kaplan's (@skap5) tweet, the insight and creativity of Big Data must not be the domain of the few. Alteryx is about ensuring that does not happen. Look out for the upcoming Alteryx 7.1 release for more details of how this will become a reality. For now check out the recent article on Forbes.com by Dan Woods on using Alteryx to enabling the data analyst with Big Data capabilities.
Paul Ross
VP of Product & Industry Marketing
