innovation
Big Data – The Genie is out of the Bottle!
Back in early 2011, me and other members of the Executive team at Ingres were taking a bet on the future of our company. We knew we needed to do something big and bold, so we decided to build what we thought the standard data platform would be in 5-7 years. A small minority of the team members did not believe this was possible and left, while the rest focused on making that happen. There were three strategic acquisitions to fill in the gaps on our Big Data platform. Today (as Actian), we have nearly achieved our goal. It was a leap of faith back then, but our vision turned out to be spot-on, and our gamble is paying off today.
My mailbox is filled daily with stories, seminars, white papers, etc., about Big Data. While it feels like this is becoming more mainstream, reading and hearing the various comments on the subject is interesting. They range from “It’s not real” and “It’s irrelevant” to “It can be transformational for your business” to “Without big data, there would be no <insert company name here>.”
What I continue to find amazing is hearing comments about big data being optional. It’s not – that genie has already been let out of the bottle. There are incredible opportunities for those companies that understand and embrace the potential. I like to tell people that big data can be their unfair advantage in business. Is that really the case? Let’s explore that assertion and find out.
We live in the age of the “Internet of Things.” Data about nearly everything is everywhere, and the tools to correlate that data to gain an understanding of so many things (activities, relationships, likes and dislikes, etc.) With smart devices that enable mobile computing, we have the extra dimension of location. And, with new technologies such as Graph Databases (based on SPARQL), graphic interfaces to analyze that data (such as Sigma), and identification technology such as Stylometry, it is getting easier to identify and correlate that data. Someday, this will feed into artificial intelligence, becoming a superpower for those who know how to leverage it effectively.
We are generating increasingly larger and larger volumes of data about everything we do and everything going on around us, and tools are evolving to make sense of that data better and faster than ever. Those organizations that perform the best analysis get the answers fastest and act on that insight quickly are more likely to win than organizations that look at a smaller slice of the world or adopt a “wait and see” posture. So, that seems like a significant advantage in my book. But is it an unfair advantage?
First, let’s remember that big data is just another tool. Like most tools, it has the potential for misuse and abuse. Whether a particular application is viewed as “good” or “bad” is dependent on the goals and perspective of the entity using the tool (which may be the polar opposite view of the groups of people targeted by those people or organizations). So, I will not attempt to judge the various use cases but rather present a few use cases and let you decide.
Scenario 1 – Sales Organization: What if you could understand what you were being told a prospect company needs and had a way to validate and refine that understanding? That’s half the battle in sales (budget, integration, and support / politics are other key hurdles). Data that helped you understand not only the actions of that organization (customers and industries, sales and purchases, gains and losses, etc.) but also the stakeholders’ and decision-makers’ goals, interests, and biases. This could provide a holistic view of the environment and allow you to provide a highly targeted offering, with messaging tailored to each individual. That is possible, and I’ll explain soon.
Scenario 2 – Hiring Organization: Many questions cannot be asked by a hiring manager. While I’m not an attorney, I would bet that State and Federal laws have not kept pace with technology. And while those laws vary state by state, there are likely loopholes allowing public records to be used. Moreover, implied data that is not officially considered could color the judgment of a hiring manager or organization. For instance, if you wanted to “get a feeling” that a candidate might fit in with the team or the culture of the organization or have interests and views that are aligned with or contrary to your own, you could look for personal internet activity that would provide a more accurate picture of that person’s interests.
Scenario 3 – Teacher / Professor: There are already sites in use to search for plagiarism in written documents, but what if you had a way to make an accurate determination about whether an original work was created by your student? There are people who, for a price, will do the work and write a paper for a student. So, what if you could not only determine that the paper was not written by your student but also determine who the likely author was?
Do some of these things seem impossible or at least implausible? Personally, I don’t believe so. Let’s start with the typical data that our credit card companies, banks, search engines, and social network sites already have related to us. Add to that the identified information available for purchase from marketing companies and various government agencies. That alone can provide a pretty comprehensive view of us. But there is so much more that’s available.
Consider the potential of gathering information from intelligent devices accessible through the Internet, your alarm and video monitoring system, etc. These are intended to be private data sources, but one thing history has taught us is that anything accessible is subject to unauthorized access and use (just think about the numerous recent credit card hacking incidents).
Even de-identified data (medical / health / prescription / insurance claim data is one major example), which receives much less protection and can often be purchased, could be correlated with a reasonably high degree of confidence to gain an understanding of other “private” aspects of your life. The key is to look for connections (websites, IP addresses, locations, businesses, people), things that are logically related (such as illnesses / treatments / prescriptions), and then accurately identify (stylometry looks at things like sentence complexity, function words, co-location of words, misspellings and misuse of words, etc. and will likely someday take into consideration things like idea density). It is nearly impossible to remain anonymous in the Age of Big Data.
There has been a paradigm shift regarding the practical application of data analysis, and the companies that understand this and embrace it will likely perform better than those that don’t. There are new ethical considerations that arise from this technology, and likely new laws and regulations as well. But for now, the race is on!
Genetics, Genomics, Nanotechnology, and more
Science has been interesting to me for most of my lifetime, but it wasn’t until my first child was born that I shifted from “interested” to “involved.” My eldest daughter was diagnosed with Systemic Onset Juvenile Idiopathic Arthritis (SoJIA – originally called Juvenile Rheumatoid Arthritis, or JRA) when she was 15 months old, which also happened to be about six months into the start of my old Consulting company and in the middle of a very critical Y2K ERP system upgrade and rehosting project. It was definitely a challenging time in my life.
At that time, there was very little research on JRA because it was estimated there were only 30,000 children affected by the disease, and the implication was that funding research would not have a positive ROI. This was also a few years before the breakthroughs of biological medicines like Enbrel for children.
One of the things that I learned was that this disease could be horribly debilitating. Children often had physical deformities as a result of this disease. Even worse, the systemic type that my daughter has could result in premature death. As a first-time parent, imagining that type of life for your child was extremely difficult.
Luckily, the company I had just started was taking off, so I decided to find ways to make a tangible difference for all children with this disease. We decided to take 50% of our net profits and use them to fund medical research. We aimed to fund $1 million in research and find a cure for Juvenile Arthritis within the next 5-7 years.
As someone new to “major gifts” and philanthropy, I quickly learned that some gifting vehicles were more beneficial than others. While most organizations wanted you to start a fund (which we did), the impact from that tended to be more long-term and less immediate. I met someone passionate, knowledgeable, and successful in her field who showed me a different and better approach (here’s a post that describes that in more detail).
I no longer wanted to blindly give money and hope it was used quickly and properly. Rather, I wanted to treat these donations like investments in a near-term cure. In order to be successful, I needed to understand research from both medical and scientific perspectives in these areas. That began a new research and independent learning journey in completely new areas.
There was a lot going on in Genetics and Genomics at the time (here’s a good explanation of the difference between the two). My interest and efforts in this area led to a position on the Medical and Scientific Advisory Committee with the Arthritis Foundation. With the exception of me, the other members were talented and successful physicians who were also involved with medical research. We met quarterly, and I did ask questions and made suggestions that made a difference. But, unlike everyone else on the committee, I needed to study and prepare for 40+ hours for each call to ensure that I had enough understanding to add value and not be a distraction.
A few years later we did work for a Nanotechnology company (more info here for those interested). The Chief Scientist wasn’t interested in explaining what they did until I described some of our research projects on gene expression. He then went into great detail about what they were doing and how he believed it would change what we do in the future. I saw that and agreed. I also started thinking of the potential for leveraging nanotechnology with medicine.
While driving today, I was listening to the “TED Radio Hour” and heard a segment about entrepreneur Richard Resnick. It was exciting because it got me thinking about this again – a topic I haven’t thought about for the past few years (the last time, I was contemplating how new analytics products could be useful in this space).
There are efforts today with custom, personalized medicines that target only specific genes for a specific outcome. The genetic modifications being performed on plants today will likely be performed on humans in the near future (I would guess within 10-15 years). The body is an incredibly adaptive organism, so it will be very challenging to implement anything that is consistently safe and effective long-term. But that day will come.
It’s not a huge leap from genetically modified “treatment cells” to true nanotechnology (not just extremely small particles). Just think, machines that can be designed to work independently within us to do what they are programmed to do and, more importantly, identify and understand adaptations (i.e., artificial intelligence) as they occur and alter their approach and treatment plan accordingly based on changes and findings. This is extremely exciting. It’s not that I want to live to be 100+ years old – because I don’t. But, being able to do things that positively impact the quality of life for children and their families is a worthy goal from my perspective.
My advice is to always continue learning, keep an open mind, and see what you can personally do to make a difference. You will never know unless you try.
Note: Updated to fix and remove dead links.
Are you Visionary or Insightful?
Having great ideas that are not understood or validated is pointless, just as being great at “filling in the gaps” to do amazing things does little if what you are building achieves little toward your needs and goals. This post is about Dreaming Big and turning those dreams into actionable plans.
Let me preface this post by stating that both are important and complementary roles. But if you don’t recognize the difference between the two, it becomes much more challenging to execute and realize value/gain a competitive advantage.
The Visionary has great ideas but doesn’t always create plans or follow through on developing the idea. There are many reasons why this happens (distractions, new interests, frustration, lack of time), so it is good to be aware of that, as this type of person can benefit by being paired with people willing and able to understand a new idea or approach, and then take the next steps to flesh out a high-level plan to present that idea and potential benefits to key stakeholders. People may view them as aloof or unfocused.
The Insightful sees the potential in an idea, helps others understand the benefits and gain their support, and often creates and executes a plan to prototype and validate the idea – killing it off early if the anticipated goals are unachievable. They document these experiences, learn from them, and become increasingly proficient at validating the idea or approach and quantifying the potential benefits. They are usually very pragmatic.
Neither of these types of people is affected by loss aversion bias.
I find it amazing how frequently you hear someone referred to as being Visionary, only to see that the person in question could eliminate some of the noise and “see further down the road” than most people. While this skill is valuable, it is more akin to analytics and science than art. Insight usually comes from focus, understanding, intelligence, and being open-minded. Those qualities matter in both business and personal settings.
On the other hand, someone truly visionary looks beyond what is already illuminated and can, therefore, be detected or analyzed. It’s like a game of chess, where the visionary person thinks six or seven moves ahead. They are connecting the dots on various future possibilities while their competitor is still thinking about its next move.
Interestingly, this can be a very frustrating situation for everyone.
- The Visionary with an excellent idea may become frustrated because they feel an unmet need for understanding.
- The people around that visionary person become frustrated, wondering why that person isn’t able to focus on what is important or why they fail to see/understand the big picture.
- Others view the visionary ideas and suggestions as tangential or irrelevant. It is only over time that the others understand what the visionary was trying to show them – often after a competitor has already begun implementing a similar idea.
- The Insightful, wanting to make a difference, can feel constrained in static environments, which offer little opportunity for change and improvement.
Both Insightful and Visionary people view themselves as strategic. Both believe they are doing the right thing. Both have similar goals. What’s truly ironic is that they may view each other as competitors rather than seeing the potential for collaboration.
A strong management team can positively impact creativity by fostering a culture of innovation and placing these people together to work towards a common goal. Providing little time and resources to explore an idea can lead to remarkable outcomes. When I had my consulting company, I sometimes joked, “What would Google do?” to describe how amazing things were possible and waiting to be done.
The insightful person may see a payoff from their ideas sooner than the visionary person, because they focus on what is already in front of them. It may be a year or more before what the visionary person has described shifts to the mainstream and into the realm of insight – hopefully before it reaches the realm of common sense (or worse yet, is entirely passed by).
I recommend that people create a system to gather ideas, along with a description of the purpose, goals, and advantages of those ideas. Foster creativity and innovation by rewarding people for participation, regardless of what becomes of the idea. Review those ideas regularly and document your commentary. You will find good ideas with luck – some insightful and possibly even visionary.
Look for commonalities and trends to identify the people who can cut through the noise or see beyond the periphery and the areas having the greatest innovation potential. This approach will help drive your business to the next level.
You never know where the next good idea will come from. Efforts like these provide growth opportunities for people, products, and profits.
Failing Productively
As an entrepreneur, you will typically get advice like, “Fail fast and fail often.” I always found this somewhat amusing, similar to the saying, “It takes money to make money” (a lot of bad investments are made using that philosophy). Living this yourself is an amazing experience – especially when things turn out well. But as I have written about before, you learn as much from the good experiences as you do from the bad ones.
Innovating is tough. You need people who always think of different and better ways of doing things or question why something has to be done or made a certain way. It means shifting away from the “how” and “why” and focusing on the “what” (outcomes). It takes confidence to ask questions that many would view as stupid (“Why would you do that, it’s always been done this way.”) But, when you have the right mix of people and culture, amazing things can and do happen, and it feels great.
Innovating also takes a willingness to lose time and money, hoping to win something big enough later to make it all worthwhile. This is where many companies fall short because they lack the patience, budget, or appetite to fail. I personally believe that this is the reason why innovation often flows from small companies and small teams. For them, the prospect of doing something cool or making a big impact is motivation enough to try something, and the barriers to getting started are often much lower.
It takes a lot of discipline to follow a plan when a project appears to be failing, but it takes even more discipline to kill a project that has demonstrated real potential but isn’t meeting expectations. That was one of my first and probably most important lessons learned in this area. Let me explain…
In 2000 we looked at franchising our “Consulting System” – processes, procedures, tools, metrics, etc., developed and proven in my business. We believed this approach could help average consultants deliver above-average work products in less time. The idea seemed to have real potential.
Finding an attorney who would even consider this idea took a lot of work. Most believed it would be impossible to proceduralize a somewhat ambiguous task like solving a business or technical problem. We finally found an attorney who, after a 2-hour no-cost interview, agreed to work with us. When asked about his approach, he replied, “I did not want to waste my [his] time or our money on a fool’s errand.”
We estimated it would take 12 months and cost approximately $100,000 to fully develop our consulting system. We met with potential prospects to validate the idea (it would have been illegal to pre-sell the system) and then got to work. Twelve months turned into 18, and the original $100K budget increased nearly 50%. All indications were positive, and we felt very good about the success and business potential of this effort.
Then, the terror attacks occurred on Sept. 11th and businesses everywhere saw a decline. In early 2002 we reevaluated the project and felt that it could be completed within the next 6-8 months and would cost another $50K+.
After a long and emotional debate, we decided to kill the project – not because we felt it would not work, but because there was less of a target market, and now the payback period (time to value) would double or triple. This was one of the most difficult business decisions that I ever made.
A big lesson learned from this experience was that our approach needed to be more analytical.
- From that point forward, we created a budget for “time off” (we bought our own time, as opposed to waiting for bench time) and other project-related items.
- We developed a simple system for collecting and tracking ideas and feedback. When an idea felt right, we would take the next steps and create a plan with a defined budget, milestones, and timeline. If the project failed to meet any defined objectives, it would be killed – No questions asked.
- We documented what we did, why we decided to do it, our goals, and expected outcomes and timelines. Regardless of success or failure, we would conduct postmortem reviews to learn and document as much as possible from every effort and investment.
We still had failures, but with each one, we took less time and spent less money. More importantly, we learned how to do this better, which helped us realize several successes. It provided both the structure and the freedom to create some amazing things. Since failing was an acceptable outcome, it was never feared.
This approach was more than just “failing fast and failing often”; it was “intelligent failure,” which served us well for nearly a decade.
Connecting the Dots Faster
When I started consulting, an experienced consultant told me, “The best Consultants are experts at becoming Experts.” I started my consulting career with that goal in mind. After a few years realized that “Good consults are people who can learn enough quickly to ask intelligent questions and then connect the dots faster.” This is a great skill for anyone, regardless of the industry or business.
It’s impossible to be an expert at everything. I believe having great depth in a few areas (true expertise) and breadth of knowledge in many areas (enhancing context and insight) is important. Both types of knowledge alone are valuable, but combined, they add a dimension that allows a person to be far more effective and potentially much more valuable because it leads to the ability to pick up on the dependencies and nuances that others miss.
Just think – How much more effective is a salesperson who understands technology and project management concepts when working to demonstrate fit and create a sense of urgency? Or, an Attorney who understands the complexity of service offerings and delivery – enhancing their ability to construct agreements that are highly protective yet not overly complex or onerous. Or a programmer who thinks beyond the requirements and looks for ways to improve or simplify the process. Extra knowledge helps with the big picture understanding, and that often leads to providing more value by “thinking outside the box.” Additional knowledge and skills almost always help us become more effective, regardless of what we may be doing.
Increased knowledge and a desire to do amazing things create opportunities to make a huge and immediate impact. Sometimes it is because you are asking the questions that others may be thinking but simply cannot articulate in a clear manner. It helps you see the gaps and holes that others miss. And most importantly, it helps you “connect the dots” before others do (often many months before something obvious to you becomes obvious to others). A large consultancy once used the phrase “seeing around corners” to make this concept tangible.
So, if you buy into the concept that knowledge is good, the next question is usually, “What is the best way to learn?” People learn in different ways, so there really is no one single best way to learn. Understanding how you learn best will help you learn faster.
I’m a fan of reading. A good book may reinforce ideas you already know, introduce you to a few concepts or ideas that seem like they could help (giving you something to test), and often present many ideas that you know or feel just won’t work. Just don’t become one of those people who changes their beliefs and approach with every book they read (or what I refer to as “The book of the month club manager.“)
I’m also a fan of hands-on learning. The experience of doing something the first time is important. Keeping detailed notes (what works, what doesn’t make sense, what you did to figure it out, workarounds, etc.) enhances the value of that experience. It’s amazing what you can learn when you “get your hands dirty.”
What about formal education? I’ve never been a fan of the person who wants to get a degree in order to get a promotion. There are certainly some professions where education is critical to success (often through legitimacy as much as anything else). My advice to people is to work towards a specific degree because it is important as a personal goal and because it could possibly help you get a different or better job in the future. I will never criticize anyone for learning, going to school, or getting another certification or degree.
I believe the best way to get ahead is to learn the position, innovate, optimize, and deliver incredible results. You won’t “knock it out of the park” every time, but those “base hits” will help you score and ultimately win.
This is not to say that formal education is bad; I don’t believe that at all. I was working on my MBA at the same time I was expanding my consulting business from the US to the UK. I had a concentration in International Business, so I could apply many things I was learning right away. This bit of serendipity both enhanced my learning experience and helped me make better decisions that had real implications for my business. The funny thing was that I was working on that degree to raise the bar for my children, so this was just a bonus for me.
There are also other great ways to learn – ways that only require an investment of your time. There are many good free online courses. If you are interested in learning something or need to know more about it, there is almost always a place to find free or low-cost training. These are great investments in yourself and your future, and may help you learn to connect those dots faster.
Below are links to a few good free learning websites. Do yourself a favor and check them out. And, if you know of others, leave a comment and recommend them to others. Enjoy!
OpenCulture (directory with content from multiple sources)
Open Education Database (directory with content from multiple sources
Where Ideas, Experiences, and Lessons Learned Intersect 