Big Data is About Getting Small

Big Data is About Getting Small

Okay, okay, that seems like an odd thing to say. But at a recent keynote, that came out of my mouth. But that’s a confusing statement, so let me share the entirety of what I said:

Big Data is about getting small; it’s about getting down to the level of the individual.

Sometimes the Big Data conversation gets too fixated on the “big” part of the conversation: Is my data big enough? Is my company big enough? Is my analytics team big enough?

Instead, let’s reorient the conversation to get “small,” to leverage the wealth of internal and external data sources to learn as much as possible about our individual customers and machines. Let’s change the conversation, and let’s start with the current fascination with the Internet of Things (IoT).

Internet of Things Becomes The Internet of Everything

By now, only those living under a rock haven’t been inundated by the Internet of Things prognostications. Gartner predicts that by 2020, there will be:

  • 30 Billion of connected devices
  • 7 Billion connected people
  • 44 Zettabytes (1,000,000,000,000,000,000,000 bytes) of data

I’ve written several blogs about the potential of IoT, my favorite being “Internet of Things: Connected Does Not Equal Smart.” Even more IoT factoids are provided in Figure 1.

Figure 1: Internet of Things Factoids

But, as with many equally overwhelming technology statistics… so what? Well, when you combine the Internet of Things with the wealth of social media and mobile data that everyone is sharing across the multitude of social media channels (e.g., Facebook, Twitter, LinkedIn, Instagram, Vine) and all the wearable computing data (e.g., fitness bands, smart watches, smart phones, smart glasses, smart contact lens), then you end up with the “Internet of Everything” where everything and everyone is connected. And that creates a LOT of possibilities.

But where Big Data, and “Internet of Everything” become personally relevant is at the level of the individual – at the “Internet of One” (see Figure 2).

Figure 2: The Internet of One

It is at the level of the individual where one can start gleaning actionable insights about each customer’s propensities, preferences, behaviors, tendencies, trends, interests, passions, associations, affiliations, etc. It is at the level of the individual where the multitude of insights about your customers (and machines) enables you to anticipate their needs to better support and service them. In the end, the “Internet of Things” is become highly relevant when the conversation is about the “Internet of ME”!

The Internet of Everything Becomes The Internet of ME!

Customers’ expectations are changing about what they expect from the companies with whom they interact. Companies such as Netflix, Amazon, Google, Pandora and Spotify are leveraging superior insights about their customers and their customers’ purchase, viewing and listening patterns to provide a more personalized service; to recommend products or movies or songs that they believe that you will find interesting and relevant (and hopefully buy).

A recent study “Millennials: Designing a Bank For the Future” highlights how expectations are changing from a younger generation who has grown up believing these types of highly-personalized services should be common (see Figure 3).

Figure 3: Millennials: Designing A Bank For The Future

The study highlights the following expectations of the new Millennials:

  • 48% are interested in real-time and forward-looking (predictive analytics) spending analysis
  • 51% want their bank to proactively recommend (prescriptive analytics) products and services for their financial needs

But what does this mean to the most important person on the “Internet of One”…me!! For example, I wear a fitness band that tracks fitness data about me such as distance walked and run, minutes exercised, elevation covered, levels of exertion, heart rate, and stress levels. My fitness data could be leveraged by a multitude of organizations to better service to me – to recommend new fitness products, exercise programs, running routes, exercise partners, health check ups, even health insurance and life insurance policies (see Figure 4).

Figure 4: The Internet of Me!

Getting Small Summary

Big Data and the “Internet of Everything” get personally relevant when we get small; down to the level of the individual. So instead of worrying about big, let’s focus on the most important entity in the “Internet of Everything”, the individual. In the end, the “Internet of Things” becomes highly relevant when the conversation is about the “Internet of ME”!

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Thanks for taking the time to read my post. I’m fortunate that I spend most of my time with very interesting clients which fuel many of my topics. I hope that you are able to leave a comment or some thoughts about the blog. If you would like to read my regular blogs, please follow me on LinkedIn and/or Twitter.

In case you are interested, here are some of my favorite posts:

I am the author of the book “Big Data: Understanding How Data Powers Big Business” and am working on my second book “Big Data MBA: Driving Business Strategies with Data Science” due in December.  I also teach the "Big Data MBA" at the University of San Francisco (USF) School of Management, where I was recently named the first Executive Fellow of the USF School of Management.

Carmen Palomino, PMP, MRes

PM & Change Lead. “Renaissance Woman”: multilingual, multicultural, powered by curiosity. Driving Business transformation, process standardisation, streamlining, automation & collaboration for Dell Technologies.

8 年

I suppose it also depends on what do you need data for and the nature of your business: maybe you need to analyse all new data or maybe you just need a fraction to see the patterns and take decisions. It all comes to find the best solution to accommodate your needs.

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David Traynor

IoT Strategist & Operations Leader | Embedded SIM, IoT Growth

8 年

Great forward thinking.

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