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Big Data Model Maturity Discussion - What Are You Measuring? “Maturity models” can be very useful. Every analyst firm and most vendors have created some sort of maturity model. Not only can a maturity model benchmark where you are with respect to your cohorts, but good maturity models also provide a roadmap to help organizations advance along the maturity model. But different maturity models measure different things, and what the maturity model measures is critically important because you are what you measure. For example, a friend recently sent me the below cartoon about the “5 Stages of Data-Driven Marketing” (see Figure 1). Figure 1: Five Stages of Data-Driven Marketing Figure 1 measures how effective an organization is at leveraging data to drive an organization’s marketing culture. In the case of Figure 1, it conveys the organizational and cultural challenges ... (more)

Election #DataScience and the Death of Truth | @CloudExpo #BigData #Analytics

The U.S. Presidential election is finally over. The protests are winding down, they’ve stopped burning cars in Oakland (for now), and the talks of California succession are waning. But I am struggling to return to “normal” because in this election, truth got hammered. Many candidates treated opinions as “truth” and a large portion of the American public grabbed a hold of these “truths” as gospel. It may have been a good time to be in the “fact checking” business, but I’m not sure how effective even the fact checkers could be given the spontaneous nature of “opinions as facts” being thrown around, not to mention the people who create fake news intentionally. So let’s play a game! Let’s call this game “Separate the Truth from the Myths.” Let’s see how you do. Bat Boy Sighted in NYC Subway (probably too expensive to get a condo in Manhattan) Obama Appoints Martian Amb... (more)

Tips for Data Scientists | @CloudExpo #BigData #IoT #ML #AI #DataScience

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 working with our data science teams, I have come to realize that we also need to address the other side of the data science equation; that we need to teach the data scientists in order for them to think like business executives. If the data science team cannot present the analytic results in a w... (more)

Business #DigitalTransformation | @ThingsExpo #IoT #BigData #DigitalMarketing

How effective is your organization at leveraging data and analytics to power the business? This is the question that we pose at the beginning of our client conversations.  Gaining intimate insights about your customer, product, and operational behaviors, tendencies, trends and propensities is critical if organizations want to drive digital business transformation; optimizing key business processes, uncovering new monetization opportunities and creating a more compelling customer experience. Unfortunately, organizations are struggling to leverage big data to drive their digital business transformation.  They have fallen into the “Digital Business Transformation Chasm” where technology investments and proof of concept exercises are failing to yield the promised digital business transformation. These organizations have not adopted a customer-centric, business-driven ... (more)

Citizen Data Scientist, Jumbo Shrimp | @CloudExpo @Schmarzo #BigData

Citizen Data Scientist, Jumbo Shrimp, and Other Descriptions That Make No Sense Okay, let me get this out there: I find the term “Citizen Data Scientist” confusing. Gartner defines a “citizen data scientist as “a person who creates or generates models that leverage predictive or prescriptive analytics but whose primary job function is outside of the field of statistics and analytics.” While we teach business users to “think like a data scientist” in their ability to identify those variables and metrics that might be better predictors of performance, I do not expect that the business stakeholders are going to be able to create and generate analytic models. I do not believe, nor do I expect, that the business stakeholders are going to be proficient enough with tools like SAS or R or Python or Mahout or MADlib to 1) create or generate the models, and then 2) be profi... (more)

Holiday Experience and #BigData | @CloudExpo @Schmarzo #IoT #Analytics

The holiday season is nearly upon us (I’ve already heard Christmas songs being played…really?) and retailers are usually the big winners during the holiday season. However, leading retailers are already thinking beyond the current holiday season, and not just from marketing and merchandising perspectives. These leading retailers are considering how this holiday season – and the resulting wealth of customer, product and operational data – can be converted into new analytic insights that can be used to optimize key business processes, uncover new monetization opportunities and create a more compelling, more prescriptive user experience all year round. The holiday season provides an opportunity for retailers to accelerate or jump start their processes for gathering, harvesting and exploiting customer, product and operational insights that can pay financial dividends ye... (more)

Big Data Business Model Maturity Index and IoT | @ThingsExpo #BigData #IoT #M2M #API #Wearables

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)

Better Predictors | @CloudExpo @Schmarzo #BigData #IoT #AI #ML #Analytics

Data Science: Identifying Variables That Might Be Better Predictors I love the simplicity of the data science concepts as taught by the book “Moneyball.” Everyone wants to jump right into the real meaty, highly technical data science books. But I recommend to my students to start with the book “Moneyball.” The book does a great job of making the power of data science come to life (and the movie doesn’t count, as my wife saw it and “Brad Pitt is so cute!” was her only takeaway…ugh). One of my favorite lessons out of the book is the definition of data science: Data Science is about identifying those variables and metrics that might be better predictors of performance This straightforward definition sets the stage for defining the roles and responsibilities of the business stakeholders and the data science team: Business stakeholders are responsible for identifying (brai... (more)

Big Data Storymap Revisited | @BigDataExpo #BI #IoT #M2M #BigData #Analytics

In January 28, 2013, we released the “Big Data Storymap.” Since releasing the storymap, we have gotten lots of positive feedback. It really seemed to work in highlighting the key aspects and approaches to achieving big data success. So I thought I’d take the opportunity to re-visit the storymap to see what we have learned over the past nearly 4 years – what we got right and what we need to tweak – to ensure that the storymap is as insightful and actionable to readers as ever (see Figure 1). Figure 1: Big Data Storymap Landmark #1: Explosive Market Dynamics The purpose of Landmark #1 was to highlight the market challenges that were necessitating a different approach to integrating big data (data and analytics) into one’s business (we used cute landmarks instead of phases to keep in the spirit of the storymap). In the original blog, we discussed how organizations th... (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 deliver big data analytics. The big data engagements we run for EMC focus on applying predictive and prescriptive analytics to deliver recommendations to help key decision makers become more effective at at their jobs.  For example, delivering recommendations to teachers in how to best group th... (more)

Internet of Things Challenge: The Sensor That Cried Wolf | @ThingsExpo #IoT #M2M #Sensors

My daughter called with a frantic message. She was driving my car (why she was driving my car when she has her own is the subject for another time) and a warning message appeared on the car console: “Engine overheated! Stop engine and allow to cool down” (see Figure 1). Fortunately, my daughter was nearly home, so she got the car home, shut it down and called me immediately (I was on the road somewhere…Washington DC, Philadelphia, Knoxville, Chicago, Toronto…I don’t even remember where anymore). I called my trusty mechanic (Chuck) and he was able to work my car into the schedule when I got back home. Figure 1: Engine Overheated Warning Message So Friday morning I gingerly drove the car to the mechanic (about 2 miles away) and waited for the verdict. Here is the conversation with Chuck: Chuck: “We found the problem and it’s a sensor that is broken.” Me: “So the engin... (more)