I’ll be attending the HPE Discover event next week in Las Vegas. The theme of the show is Digital Transformation, a similar theme to the show we put on a few weeks back at TIBCO NOW. At TIBCO NOW, I spoke with a variety of customers including educators, scientists, engineers, marketers, and industry analysts about their digital journey and how data is driving new, efficient ways to transform their business. However, where I didn’t hear much synergy was how the transformation was evolving for these organizations, mostly because everyone is coming or starting from a different place.
Herein lies the opportunity for attendees at shows like HPE Discover and that is, how can you supplement the technology and people you already have with new technologies that can accelerate your digital transformation? A simple “non-disruptive” yet powerful example I heard about was the use of analytic applications.
Analytic applications are able to harmonize data against a set of processes and apply advanced algorithms to identify positive or negative trends. The secret sauce to analytic applications is how the insights are often presented within a guided or intuitive interface like a dashboard or operational application. These smart applications can package the insights developed by data scientists and present them to a broad set of users in a very scalable way. Such applications often become part of an operational intelligence program that can drive extreme results due to the non-disruptive way the technology is delivered to its end users. Sometimes insights can be instrumented to take action on behalf of users, while in other examples, the insight is simply given as an option for a business user to consider.
Building an analytic app is becoming easier as a result of the tools available. We have customers using TIBCO Spotfire along with HP Vertica to deliver fast interactive applications. You can use the quick-start solution on the HPE Big Data Marketplace. Once you connect Spotfire to your Vertica data, quickly discover insights in your data with our Recommendation Engine and rapid dashboard designer. From here, you can apply advanced forecasting and machine learning algorithms to your Vertica data with the R-based runtime engine called TERR. Lastly, these insights can then be annotated and bookmarked to provide step-by-step guidance to end users so they can find the best result in their data.
I hope to talk with other people who are embarking on their own digital journey to understand if their answer to transformation is through analytic applications.