Mike has spent 30 years at HP in development, product management and latterly, product marketing.
Mike's team is responsible for marketing cross-IT solutions for HP Software including cloud, application transformation, and converged infrastructure.
In the rush to exploit Big Data, I wonder if we are overlooking the low-hanging fruit of traditional analytics based on rows and columns of numbers.
This occurred to me recently while reading a post by Gartner distinguished analyst Mike Maoz. He was advocating that business intelligence really should be in the hands of customers. He used shopping for healthcare insurance as an example (a timely topic, indeed). Here's a snippet:
Therein lies the challenge. How do you make tools simple and straightforward enough so LOB execs and managers can exploit Big Data? After all, they are the ones running mainstream businesses and probably know the questions better than anyone else.
It will vary from industry to industry. For instance and I am paraphrasing Gartner here, consumer industries are about customer experience whereas in manufacturing, the hope is Big Data will yield improvements in process efficiency. I am not sure there will ever be a standard playbook across all industries and organizations. This is what makes Big Data so confusing for many.
The number of small/medium businesses in the world is growing. This is, of course, recognized by governments – many Prime Ministers and Presidents are looking to SMB’s to lead their countries out of recession.
I see this trend inside HP marketing. We are increasingly using SMB’s for campaign material generation, newsletter generation, and so on.