Analytics, Big Data, Big Data and Analytics, Digital Strategy

4 Steps to Digital Dominance + Warren Buffett on Google

9 May , 2017  

The recent 2017 Berkshire Hathaway shareholder meeting offered some insights into how Warren Buffett thinks about stocks, especially those of large digital companies. I thought it important to explore these, given the rise of Digital Enterprises. When we think of Digital Enterprises, leaders like Google, Apple, Amazon, and even Microsoft come to mind. What do […]

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Analytics, Big Data, Big Data and Analytics, Digital Strategy, Innovation

Tony Soprano, The Supreme Court, and the “Big Picture” of Google Maps

22 Mar , 2017  

“Take out the GPS. I don’t want the FBI tracking us with it.” – Tony Soprano “That’s what I like about you, boss; you are always thinking of the big picture.” Paulie Walnuts Gualtieri. That is a cleaned-up and paraphrased exchanged between Tony Soprano and Paulie, when the mob crew got new Cadillac Escalades and […]

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Big Data and Analytics, Digital Strategy

Big Opportunities and Critical Warning Signs from Microsoft’s Purchase of LinkedIn

14 Jun , 2016  

Big Opportunities and Critical Warning Signs from Microsoft’s Purchase of LinkedIn

The opportunities ahead for Microsoft and LinkedIn are many, there are also some important lessons for the tech industry. This, the largest of Microsoft’s acquisitions, is really about buying data and data assets. Here are my thoughts on opportunities going forward and lessons leaned from the LinkedIn sale: Microsoft can make LinkedIn the Greatest Expert […]

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Digital Strategy, Innovation

Mastering Digital & Other Lessons from Netflix: When is a Customer a Fan?

13 Mar , 2016  

Mastering Digital & Other Lessons from Netflix: When is a Customer a Fan?

Netflix has long been heralded as a leader in the use of analytics and even the creation of novel big data. That is all true. Nobody knows more about movie tastes than Netflix, with its some 1 billion reviews in its database. The graphic above shows that Netflix can use such data and customer behavior […]

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Big Data and Analytics, Risk Management

Lessons on Big Data, Risk, and the Vertical Integration of Wearables and Startups

4 Dec , 2015  

Lessons on Big Data, Risk, and the Vertical Integration of Wearables and Startups

Lessons on Big Data, Risk, and the Vertical Integration of Wearables and Startups It is amazing how quickly the world of health sensors and wearables has developed. In just a few years, we have seen the wearable market explode with Fitbit, Jawbone, and Apple commanding healthy shares of the overall market that delivered some 70 […]

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Big Data and Analytics, Digital Strategy

IBM’s Big Bet on Big Weather Data: A New Data Strategy

8 Nov , 2015  

IBM’s Big Bet on Big Weather Data: A New Data Strategy

IBM’s Big Bet on Big Weather Data: A New Data Strategy The move by IBM to acquire the Weather Channel is a great example of how IBM is transforming Big Data to Big Profits. In the above figure, IBM plans to predict hail storms and help car owners and insurers avoid expensive and often avoidable […]

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Big Data and Analytics, Innovation

LinkingIn to Data Products

24 Jul , 2015  

LinkingIn to Data Products

Every so often we notice an interesting infographic using LinkedIn Corp. data. What universities, for example, are the primary feeders for tech employers like Apple Inc. (turns out it’s San Jose State) and Microsoft Corp. (University of Washington by a landslide)? What company internships lead to good jobs in different industries? (most are predictable, but […]

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Big Data and Analytics, Innovation

New Book: From Big Data to Big Profits – Success with Data and Analytics

9 Jul , 2015  

New Book: From Big Data to Big Profits – Success with Data and Analytics"

From Big Data to Big Profits: Success with Data and Analytics I am pleased to announce the release of my second book, From Big Data to Big Profits: Success with Data and Analytics, which investigates the use of Big Data to stimulate innovation, enhance operational effectiveness and further business growth. The book examines the evolving […]

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Big Data and Analytics, Digital Strategy

Digital Platforms and Big Data Creation

11 Apr , 2015  

Digital Platforms and Big Data Creation

Digital platforms are all around us. We used many each day. These platforms serve our needs but also create realms of Big Data – about or lives, media, shopping, health, and interest. LinkedIn is a great example of a powerful and successful digital platform. Parties interface digitally. Data is openly shared, transmitted, created, and then […]

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Big Data and Analytics, Digital Strategy

Big Data Driving the Driverless Car: Digitizing Travel

28 Feb , 2015  

Big Data Driving the Driverless Car: Digitizing Travel A major change to driving and travel is soon upon us. With little doubt, we can expect driverless cars in the next decade or so. However, it is not driverless cars that will change how we travel, but rather the digitization of travel, enabling driverless cars, which will change how we travel. In the earliest versions of automated cars, driverless automation was approached mechanically. An early version proposed vehicles locking into a monorail when on the interstate, for instance. Similarly, early versions of speed control were simply mechanical means for keeping the speed at a designated level, with no specific measuring of the surroundings. The development of sensors and rapid digital processing on cars changed the paradigm for control of the vehicle and its subsystems. Mechanics would be controlled by data, not uber mechanics. Instead of controlling mechanics by brute force, sensors and data allow or a more precise and agile adaption to how vehicles are operated. This paradigm shift and movement to data creation for the purposes of mechanical control has already overtaken the next generation of aircraft. A single flight on a Boeing 787 is estimated to create no less than half a TB of data from sensors. This data is, in many ways, data exhaust. The byproduct of proactive sensors and devices communicating their status and conditions around them. It is reflected in the Internet of Things (IoT) and how connected devices communicate their status even if action is not taking place. Just being connected will create data! Location, availability, and operating status are just some of the basic measures that can be captured on a continuous basis for any autonomous vehicles (even before trip begins). Once a trip is undertaken, data about the trip, deviations from the expected course, energy use, system performance, and specific environmental, traffic, and road interactions are captured. All of this is Big Data that is valuable to engineers, customers, regulators, and other businesses. The future of driverless vehicles includes a radical change in how we travel, owing to the digitization of travel. Soon, we will be able to open an app on our smartphones and summon a driverless car. It might come from Google, Uber, Apple, or a traditional automobile manufacturer. The collection of data begins even before the trip begins. In many ways, the wave of Big Data has digitized vehicle use already. Consider how Uber has digitized car services already. Owning a car is less critical if instead in can be summoned with high reliability and at a reasonable cost, as also in the case of Uber. Data about demand and supply of cars is currently used by Uber to price trips. Once driverless cars are available on demand, digitization of travel will create a new market for travel and the opportunity to seek out new efficiencies on when and how to travel. Data is created about the trip at a granular level allowing for new optimal decisions. In fact, the digital layer controls everything about the trip. By digitizing travel, travel by time of day, destination, route, and even purpose can be ascertained and used to make new optimal decisions. Might this suggest differential pricing? Sure it does. Want to go faster, you can pay for that. Taking the kids to school? Perhaps the local school district picks up part of the cost for the trip. Want to save on travel costs; your driverless car might suggest using the roads at non-peak hours or making long-distance trips at night. Taxing bodies might see the digitization of travel as a convenient means to tax trips based on distance, speed, energy use, or even just popularity and convenience of a road. You get a bill (on your app of course) that includes payments to all the invested parties: driverless car provider, tolls for roads, insurance, and energy use. The implications for how we travel and use vehicles are endless once we have digitized travel. The prerequisite digitized maps are now in place. Sensors allow Google’s driverless car to regularly travel on roads with traffic. Mobile technology is ready to interface with users. Digitizing travel will require Big Data and make new Big Data that will create new markets or travelers and travel providers. It will also change how we travel and pay for travel.

Big Data Driving the Driverless Car: Digitizing Travel A major change to driving and travel is soon upon us. With little doubt, we can expect driverless cars in the next decade or so. However, it is not driverless cars that will change how we travel, but rather the digitization of travel, enabling driverless cars, which […]

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