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Interview at the Motionsoft Technology Summit about Big Data

This quarter’s Business, Innovation and Entrepreneurship interview is the compilation of getting to discuss “big data” analytics with four exceptional thought leaders at the Motionsoft Technology Summit this year (2016). These four gentlemen in no particular order are: Jafar Adibi, Ph.D., the President, Co-founder, and CTO of re|unify; Jeffrey Cooper, the Senior Manager of Business Development at Samsung; Mark Newman, the President of Heads Up Analytics, and Keith Catanzano, a Partner at 2River Consulting Group. The answers below are summations of their respective answers, as such they are not represented as verbatim but edited for readability and context.


1) When a company is either building a data model (or working with a third party for this type of service), what considerations should an operator have regarding the crossroad of complexity and usability?  There are scenarios where too many disparate and incomplete data sets can make it difficult to find the signal from the noise; what are the trade-offs as the amount of available business intelligence information continues to increase? And what considerations should we take into account to maximize any investment in mining data?

[Jafar Adibi]: You need to figure out what problem you are trying to solve. Clients will come to me with data, rich sets of data, and say, “Jafar, now go figure out something to do. Find something interesting.” Generally, this is a waste of time. People believe finding correlations (any correlations) are going to help their business, but that is often not the case. When you identify your problem, we are better set up to solve it. There are different analytic methods for classification problems, association problems, and other questions that are not necessarily answered through correlative means. Getting to the right question will help you establish what data sets are important.

Then you need to figure out your budget. There will always be noise in your data, especially data from business intelligence. We can build a model to take the noise into consideration. However, using more data is obviously expensive, so that goes back to what are you trying to solve for. We can exclude data that will not answer your question, which saves you time and money. As such, you want to keep return on investment (ROI) in mind as you think about the question you are asking. Ask yourself, “If I answer this question, how much money with I gain/save?” The answer to the ROI question gives you a ballpark on what it might be worth regarding your investment in a data model.

2) It seems to me that a lot of ad hoc advice about using data for business intelligence is disseminated on broad-based assumptions derived from general population data. However, is this not one of the follies of “Big Data”? Companies are basing important decisions on arguably misleading benchmarks, rather than creating a narrative specific to their population (or at least a sample from their specific population); What are strategies to ensure we are making the best decision based on our company’s unique attributes?

[Mark Newman]: The most important thing is to trust your own expertise. You should intuitively know the customers you are trying to attract. You should have an idea of what strategies you are trying to pursue. You should already know what the important problems are you need to solve. What you don’t want to do is look to data to validate some preconceived answer to your problem. Instead, you want to devote your own educated guesses as to what to do — and then you want to use data to test those rigorously to keep yourself honest.

I think there are two ingredients to doing that. The first is to agree with your colleagues on the definitions of the terms that you are using in your data. If all the stakeholders do not agree on the definition of the numbers, then you all are not going to have an organized lexicon/narrative to work with. You have to agree on key metrics that you are going to use to allow for the monitoring of health and progress within your organization.

The second ingredient that you want to have is to follow an experimental approach that is constantly evolving. Your customers and prospects are going to react differently to your products and services over time. Reasons:

  • They might have more experience with you as your brand matures
  • As consumer groups mature, they change their goals
  • Your previous pitches are now stale, and customers react to them differently
  • Different competitors in the marketplace

What works today does not work tomorrow. Instead of some one-and-done, super solution to what you are trying to accomplish — instead you want to have some kind of innovative, incremental approach in the beginning. If you follow that, then over time, the data is going to have a narrative that reflects who you are, and what you are trying to do, and what works best for you.

3) Until recently, most data aggregation efforts have told a fairly unsophisticated narrative, and inspired relatively unremarkable initiatives in an effort to capitalize on data mining. How can we improve our use of data? And, how can companies do better at making data more actionable?

[Keith Catanzano]: What is the question the company is trying to answer? It is important to not just say, “How do you make data actionable?” We are probably all guilty at some point of looking at a data model and saying, “Look at the results, they’re awesome!” I think intriguing insights can be challenging in terms of making data actionable. There is a ton of data out there. Once you find ways to bring yours together, there is a lot you can see using data by way of insights. At some point you need to do something with the insights. In order to do that, obviously, it’s important to know who your customers are [assuming trying to influence their behavior is your goal], but also why are they customers. However, in this use case the why is more important than the who. The “why” is ultimately what you are going to try to make actionable, because to take action you are going to need to pull some type of lever to influence consumer behavior. There are lots of ways to work with communication or outreach in an attempt to accomplish this, but the effort requires the company to take a deliberate approach regarding how data is used to take action.

It is also important to note that making data actionable is generally not a one-shot deal, and architecting a campaign that changes an entire group’s behavior in some way probably will take a series of events that includes multiple levers I mentioned. So to make data more actionable, an organization should sit down and say, “What is the level of energy I want to put into solving or addressing this problem?” And that’s probably both a financial decision and a brand decision. For instance, a brand manager might ask, “Is this the kind of consumer group that we want to continue to attract? Yes; OK, well … indicators show we may be struggling with this particular group, so let’s double down because from a brand perspective, that’s how we want to be seen.” An alternative scenario here is the data suggests (to the brand manager) that too much effort is being spent focusing on the wrong group. Without asking the right questions, the data just suggests that marketing is ineffective. To finish, a company really needs shared responsibility to make data truly actionable. Ultimately, as an organization you determine what resources you want to put against data analytics, but knowing what question(s) you wanted answered first is important to making data actionable.

4) How will health club and health club member data evolve over the next several years — what will prove to be important signals for our industry in addition to financial, transactional and activity data?

[Jeffery Cooper]: So besides activity data from wearables, there will be a lot of contextual data the health clubs can now potentially get. With corporate wellness taking off you are going to see deep integration with insurance companies and insurance data. I believe, along those lines, health clubs will also be integrated more with the medical industry. As prevention becomes more associated with a basic level of fitness, I believe you will see medical data become relevant.

In that regard, I think prevention of chronic diseases is eventually going to drive a lot of people toward health clubs from the medical side of things. Right now, in most cases, doctors cannot write a prescription for a health club, but that could change as more complex sensors begin to validate the efficacy of fitness interventions.

Genomics data is another revolutionary area. You already have things like 23andMe, but there is a company Helix, which has been recently funded. Their idea is to sequence your genes, and license this data back through health care providers and fitness applications. With genomic data, consumers can make better choices (and health clubs can cater to them better). With this data, people can ask:

  • Am I suited for bodybuilding?
  • Am I suited for endurance?
  • From the limited time I have, where am I going to see the best results?

As science becomes more advanced, these companies will snapshot your genome once, and then as the science learns more and more about the genome — health clubs can take preemptive, proactive actions from that data to keep their members healthier longer, keep them out of the hospital and improve their overall quality of life.

5) Why does “Big Data” often fall short on delivering on its value promise?

[Mark Newman]: Personally, I feel that part of the problem is the way output data get reported. I feel that in data science to deliver a static report, it is potentially a sign that we have not done our job properly. The reason for that is because when we deliver a page of numbers, there is often no context to the end-user. When you are able to create/refine a business question, you generally make the presumptive problem simpler than it first appeared. Before you set off looking to get value from data, your organization should come up with your desired thresholds and metrics. Then instead of looking at static reports that, at best, will give you trailing indicators — build a dashboard that gives you real-time intelligence based on the most important metrics for your business. This dashboard should be something that your employees can always go to — not just some report that gets delivered on your desk — but something that is readily available on an ongoing basis. You also need to evaluate and monitor the efficacy of this dashboard on an ongoing basis. For instance, if you have a forecasting dashboard and there is a forecast your company is trying to meet, is the dashboard valuable and helping you meet your forecast?

I believe both dashboards that monitor things that drive your business forward, as well as insights that are actionable, are at least two things that give you some evaluation of whether “Big Data” is helpful and valuable within the context of your own particular situation. The other thing is that you really want to be doing analyses all the time. You want your data strategy to evolve past sending out graphs and numbers — to actually be working to build a story of what’s going on in your organization — and back up your story with reliable and meaningful communication so every stakeholder is seeing the same thing and you can all agree that your chosen data model(s) is providing value and is meaningful within the context of your particular business.

Interview with Dr. Henry DePhillips about Telemedicine

Dr. Henry DePhillips is the Chief Medical Officer of Teladoc. At Teladoc, Dr. DePhillips is responsible for maintaining the exceptional delivery of clinical care delivered through Teladoc’s telemedicine digital health platform. Prior to Teladoc, Dr. DePhillips held several high-level leadership positions in health care. His positions included a previous role as the Chief Medical Officer at MEDecision, working as the Senior Medical Director at Independence Blue Cross of Pennsylvania, and a role as Head of Business Development, North America for McKinsey’s international Health Systems Institute. Dr. DePhillips is a health technology fanatic who is passionate about telemedicine and shifting health care from a provider-centric model to one that better values the needs of the patient.


1) How do you see telemedicine affecting employee burnout and workplace wellness?

What I am seeing is that telemedicine provides employees quick and inexpensive access to services that contribute to their well-being. Employees also generally perceive the telemedicine experience as more enjoyable than traveling to see a physician. Employees like what we provide, so our service grows as it is better understood by employees. When people get the care they need in a timely manner, this reduces workplace wellness issues — concerns like presenteeism — because employees now have easy access to care rather than “powering through” health conditions that could have unwanted consequences if ignored.  These consequences range from getting other employees sick to compounding personal medical issues by not seeking treatment.

2) What are some of the aspects of American work culture you see uniquely contributing to issues of presenteeism and employees “powering through” illness?

There is a combination of cultural factors here in the United States. One is financial, many American employees can no longer afford to miss a day of work. A second is functional. In many U.S. companies that have downsized staff, if someone misses work then there is no longer anyone to cover their role/position — calling in sick is simply not an option. A third is cultural considerations. In America it is a sign of toughness and/or commitment if an employee powers through their illness. For instance, it can be viewed as a “badge of courage” if you come in with the flu. Lastly, there are logistical considerations. In many cases when someone should see a doctor, they are unable to do so because scheduling is difficult given other considerations. This last factor is where I see services like Teladoc playing an important role. With telemedicine it is no longer a burden to see a doctor. With the traditional approach you generally must take time off work, schedule an appointment, travel from work to see your physician. Now, if an employee is in need of care, it is as close as their keyboard or mobile phone. An experience that used to be three to four hours can now be accomplished in 30 minutes with telemedicine — and unless you need to pick up a prescription, your experience can all take place in a virtual environment of your choosing.

3) How do you see telemedicine playing a role in helping improve the patient experience?

With Teladoc you can update your electronic medical record in minutes, request a board-certified physician to meet with you at a time that works with your schedule, interact with your physician using the digital modality of your choice (phone, video conferencing, digital photos, etc.), and have prescriptions sent to a location that is convenient for you. In my opinion, it is simply a better experience.

4) There are reports that over 15 million people now use telehealth, which is a 50 percent increase in usage from numbers reported in 2013. Who is driving this growth?

Telemedicine is still perceived as a rather new way of receiving care, so we have plenty of early adopters (now) but you are going to see increased utilization blossom as we move into the early majority. Those that would rather take a conservative/traditional approach will likely become more open to telemedicine as the technology matures. “Try it once, and you will like it for life,” really applies to our technology. We see that once users try it once they often return, at least here at Teladoc. In certain populations it is a no brainer — single parents with kids, those that travel for business — again anyone with logistical considerations will likely become lifelong users once they try it once.

5) Why do you think there is a significant proportion of physicians that have an aversion to telemedicine?

It is an evolution. It is a work in progress. Health care as an industry tends to be fairly conservative when it comes to technology. Think back to the Marcus Welby, M.D. days and we have not evolved much since then in regards to care. Health care is still a very provider-centric experience. The provider tells you the times that work for them, you go to the provider’s place of practice, the provider basically makes you adhere to what is convenient for the provider. I see telemedicine as the first major shift towards a consumer-centric approach. Under the current antiquated paradigm, a patient has to say, “I am sick, where must I go to receive care?” However, with telemedicine the patient can now ask, “I am sick, how can I most efficiently get the care I need?” And now, care is as close as the smartphone sitting on the bed stand. The doctor now comes to you, at a time convenient for you. At Teladoc, the average time between requesting a visit and being able to see a physician is 10 minutes. My job as the CMO of Teladoc is to make sure that the quality of care that people expect [from the old model] is the best it possibly can be [in the new model] as we go through this evolution. It is important to note, telemedicine is meant to address a subset of medical problems that has been specifically selected to work with telecare, problems that can be accurately and successfully treated using this form. In most cases I believe telemedicine will provide the end-user a superior experience, but there are going to be some specialties where telemedicine doesn’t make sense, and that is okay too.

Live Life Love | Volume Thirty-Six

Hi Everyone,

So this was not the way I wanted to start the next chapter. As many of you know — and I regretfully inform those who do not — my brother Brian passed away sometime within 24 hours of my hitting send on the previous Live Life Love newsletter. A surreal coincidence to know that as I reported to you how much I enjoyed the experience that he and I had shared, there would never be an opportunity to share another experience with him again. As you might expect, Brian’s death has led to some pretty deep introspection the past few months. As a result, this is a difficult newsletter to write this quarter. The words are not flowing. I could try to end with some catchy quote about life and/or death, but that would be the easy route. The experience has opened an uninvited path to some deep work on my thoughts about the meaning of contribution and legacy. I hope to evolve this “project” into something much bigger than a personal platform. However, for this particular installment I have to go back to basics, which is just remembering to breathe.

Business, Innovation and Entrepreneurship: This quarter’s interview is a compilation about “big data” analytics with four exceptional thought leaders: Jafar Adibi, Ph.D., the President, Co-founder, and CTO of re|unify; Jeffrey Cooper, the Senior Manager of Business Development at Samsung; Mark Newman, the President of Heads Up Analytics; and Keith Catanzano, a Partner at 2River Consulting Group. My collaborative interview focusing on business issues involving “big data” can be read here.

Health and Wellness: My health and wellness interview this quarter is with Dr. Henry DePhillips, who is the Chief Medical Officer of Teladoc. Prior to Teladoc, Dr. DePhillips was the Chief Medical Officer at MEDecision. He also previously served as the Head of Business Development for McKinsey’s international Health Systems Institute, as well as served as Sr. Medical Director at Independence Blue Cross of Pennsylvania. My interview with Dr. DePhillips about telemedicine and telehealth can be read by clicking here.

Life Experience: This quarter I traveled to Baltimore, Maryland, and checked out the American Visionary Art Museum. The museum showcases art from artists who are primarily self-taught. As such, much of the art and installations revealed the personal vision of the artist, rather than following standard conventions.

American Visionary Art Museum | Baltimore, Maryland
American Visionary Art Museum | Baltimore, Maryland

Contribution: My friend Alex lost his wife Samantha to cancer on November 1, 2013. She was a free spirit and certainly would be at home at the American Visionary Art Museum. When she passed, she left behind an unfinished album of songs, and it was bittersweet to be part of a Kickstarter campaign to get it finished. If you would like to learn more about it, or potentially contribute yourself, you can do so by clicking here.

I would like to conclude by simply saying thank you to the many of you that reached out to me and/or my family these past few months. The warmth that was bestowed upon us was overwhelming and helped us tremendously navigate through this difficult time. I love my brother very much, and take solace that his spirit will be interwoven into this effort as I continue forward. Borrowing from his humility and sense of adventure, I will do my best to increase the utility of information this project provides, as well as seek out new experiences that are worthy of sharing — carrying his memory with me.

In health,
Dr. Rucker

P.S. Again, for those of you that knew Brian, my hope is that this is not the medium you are finding out about his passing. Brian’s obituary is available online here.