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Big Data Business Model Maturity Index and the Internet of Things (IoT) Antonio Figueiredo (@afigueiredo) recently challenged me on twitter with an interesting question: How would the Big Data Business Model Maturity Index (BDBMMI) change to support the Internet of Things (IoT)? My hope is that the BDBMMI would not need to change to support IoT. It is my hope that the BDBMMI could be used to guide any industry that is going through a data and analytics-driven transformation, such as what is happening to many industries due to IoT. Let’s see how one could use the BDBMMI to help organizations to exploit the IoT. But before we start that exercise, let’s start with some key definitions: The Big Data Business Model Maturity Index (BDBMMI) is a framework to measure how effective an organization is at leveraging data and analytics to power the business (see Figure 1). We ... (more)

Effective Analytics | @BigDataExpo #BigData #IoT #M2M #DigitalTransformation

I was reading an interview with John Krafcik, CEO of Google’s Self-driving Car Project, in the August 8th issue of Bloomberg BusinessWeek. The article referenced a survey by AlixPartners where they found that 73% of people wanted autonomous vehicles.  But when people had the option to have a steering wheel in the car, allowing optional full control to the driver, the acceptance rate jumped to 90%.  This finding, that people are much more accepting of automation and new ideas when they have the option of control, is totally consistent with what we found with respect to how to deli... (more)

IoT From Connected to Getting Smart | @ThingsExpo #BigData #IoT #M2M

Internet of Things: Getting from Connected to Smart I wanted to gather all of my Internet of Things (IOT) blogs into a single blog (that I could later use with my University of San Francisco (USF) Big Data “MBA” course). However as I started to pull these blogs together, I realized that my IOT discussion lacked a vision; it lacked an end point towards which an organization could drive their IOT envisioning, proof of value, app dev, data engineering and data science efforts. And I think that the IOT end point is really quite simple… Creating “Smart” Entities I believe that the end... (more)

Netflix – Microservices Continuous Deployment | @CloudExpo #Cloud #Microservices

In a VentureBeat article the author describes ‘the future of enterprise tech‘, describing how pioneering organizations like Netflix are entirely embracing a Cloud paradigm for their business, moving away from the traditional approach of owning and operating your own data centre populated by EMC, Oracle and VMware. Instead they are moving to ‘web scale IT’ via on demand rental of containers, commodity hardware and NoSQL databases, but critically it’s not just about swapping out the infrastructure components. The Cloud Native Enterprise This approach to IT has also come to be known... (more)

Tips for Data Scientists | @CloudExpo #BigData #IoT #DigitalTransformation

I spend a lot of time helping organizations to “think like a data scientist.” My book “Big Data MBA: Driving Business Strategies with Data Science” has several chapters devoted to helping business leaders to embrace the power of data scientist thinking. My Big Data MBA class at the University of San Francisco School of Management focuses on teaching tomorrow’s business executives the power of analytics and data science to optimize key business processes, uncover new monetization opportunities and create a more compelling, engaging customer and channel engagement. However in work... (more)

The 'Thinking' Part of 'Thinking Like a Data Scientist' | @BigDataExpo #BigData

Imagine my surprise when reading the March 28, 2016 issue of BusinessWeek and stumbling across the article titled “Lies, Damned Lies, and More Statistics.” In the article, "BusinessWeek" warned readers to beware of “p-hacking,” which is the statistical practice of tweaking data in ways that generate low p-values but actually undermine the test (see p-value definition below). One of the results of “p-hacking” is that absurd results can be made to pass the p-value test, and important findings can be overlooked. For example… A study from the Pennington Biomedical Research Center in... (more)