Howard Dresner’s latest report has a rather small, simple name: “IoT Intelligence.”
Don’t be fooled: It’s a 91-page tour de force of top data and analytics technologies.
The analyst report, part of the Dresner Advisory Services Wisdom of Crowds series, surveys the 5,000-strong community and tackles the most significant issues they face.
Though it focuses on what Internet of Things (IoT) supporters think about and do, it does so in the context of the wider business intelligence (BI) and analytics community. IoT supporters are die-hard BI and analytics proponents. They’re not just reaching for the latest toys – in fact (see p.29), they’re just as likely to support basic reporting, dashboards, data integration, self-service, and the like as they are IoT analytics.
But IoT enthusiasts are likely to support analytics generally more than the typical respondent, and they’re much more likely to support IoT analytics than the typical respondent. Where you find IoT enthusiasts, you’ll find analytics enthusiasts – and greater success rates, as it turns out.
Anyway, back to the report. It talks about key technologies that the IoT needs, not just the abstract concept of IoT itself. There are separate, detailed sections on:
- Data science and machine learning
- Cloud BI
- Data preparation
- Location intelligence
- Big data
If you want to understand all of these technologies and how they’re affecting people in the general BI and analytics community vs. how an IoT perspective changes things, this is the report to see.
One interesting find (p.20): Almost two-thirds of respondents say IoT is, at a minimum, “somewhat important” today – but there are a lot of people who don’t find it very important or critical. That tells me that if you’re struggling to get traction with IoT in your organization today, then (a) you don’t need to feel alone, and (b) you might want to target the key technologies above more than using the buzzword “IoT” to get attention.
Another surprise: By a pretty solid margin, the industry most likely to say that IoT is “not important” is healthcare. Perhaps they’re so focused on operational analytics that they can’t pull their heads up enough to see how IoT can help them. Not sure.
A proof point: Organizations that report success with BI are more likely to attach greater importance to IoT. That tells me that, once they understand how to be successful with BI, they become more capable of understanding how the IoT can help them, which leads to further successes with IoT. Again, then, this tells me that if you want to show people how to be successful with IoT, show them how to be successful with BI and analytics first. Incorporate the key technologies in ways that can improve their use and adoption of analytics, and then introduce IoT in a way that seems like a natural extension of what they (by then) already have.
Customers, partners/affiliates, and suppliers are targeted by IoT advocates much more than non-advocates, with an additional half-point uptick in each on a scale of zero to four (p.33). I think this is one of the reasons we performed so strongly in the report: So much of our work is customer-facing, where a lot of these technologies and issues come together.
Oh, did I mention we performed strongly? At the end of the report, there’s a vendor ranking calculated based on the key technologies listed above. We ranked number one out of all 15 vendors.
Download the entire report with our compliments.