One of the year’s biggest stories in Enterprise Tech is the remaking of HP. The company is in the process of splitting into two huge public companies, with traditional hardware such as printers and laptops on one side of the house, and the other side, Hewlett-Packard Enterprise which will be helmed by Meg Whitman, focusing on cloud computing and tools for business.
I’d like to tell you how that split is already benefitting us here at RingDNA. In the process, I’ll give you a sneak peek on what we’re working on in our labs.
This week in Barcelona, HP announced the launch of HP HAVEn OnDemand, a new set of data in the cloud services (“HAVEn” stands for Hadoop, Autonomy, Vertica, Enterprise Security and the number of Big Data applications that can be built atop the new platform). You can listen to a podcast summarizing the entire announcement here, but below I’ve posted a portion of the transcript of the interview between Interarbor Solutions analyst Dana Gardner, Chief Technology Officer for HP Big Data Fernando Lucini, and RingDNA CEO Howard Brown. This portion specifically focuses on IDOL on Demand, which is a set of APIs under the HAVEn platform.
I used to call it the CIO conundrum, where the CIO thinks they’ve got something and it becomes very difficult for them to prove if they do or don’t, and then they question the results when they get them.
We want them to be able to test this out. If they have an opportunity with their voice data and they think there’s massive value in the voice data and they want to cross-correlate it to the social presence, do it, and let the data speak for itself.
It’s now no longer difficult. Just go into the platform, put the voice in there, put the text in there, use the analytics tools, give us our enterprise resource planning (ERP) warehouse. We’ll do the queries and we’ll create what we call combinations — which is everything coming together as one — and test the value.
Now, it no longer matters that this is not a very large project with very large budget. It will prove out the case. We have a next generation of proving things out and being capable of proving things out.
That might lead you to a very interesting onsite project with our tools, where you’re inside a firewall, but you have proven it out. Or it might take you to a very interesting on-demand implementation. Either way you perform the testing or the proving or the thinking in a much more practical way.
It’s very exciting stuff, because there is a real change in the industry, and we all have to adapt to it.
What’s so exciting is that you can start to understand buyer intent from marketing data from past interactions with your customers. We can look at voice transcripts and sentiment analysis and have a whole new way of determining who the right prospect is, how we should be contacting them, and with what messages.
They can simply and easily test those theories using RingDNA and HP IDOL OnDemand. If there are buying signals, like someone visiting a website and downloading a whitepaper in combination with other factors, such as that person viewing web pages or maybe tweeting about their product or service, we can look at that buyer’s sentiment through HP IDOL OnDemand.
We’re taking a bunch of this data, processing it through IDOL, and making our reps that much more productive and that much more powerful.
It’s one thing to be able to deliver information. It’s another thing to be able to deliver information and insight without negatively impacting the business. Let’s face it, in this day and age, we can’t afford to slow down. With tools like IDOL OnDemand and RingDNA, you’re not slowing down teams. You’re actually accelerating them beyond what you ever thought was possible.
William Tyree is the Chief Marketing Officer of ringDNA, where he works collaboratively with the team to drive breakthrough growth while creating an iconic brand that inspires companies to improve sales experiences. Previously, he was CMO at FaceFirst and VP of Marketing at DemandResults. His thought leadership has appeared in Forbes, Entrepreneur, the Atlantic and elsewhere.