System Centering Solutions, Ocala, Florida

Ocala, Florida

Ocala, Florida

About Us

System Centering Solutions (SCS) is a boutique executive strategy consulting company with a model similar to Mckinsey -- without the expense.

SCS operates in three key vertical segments -- Electronics and Semiconductor Industry, SMB market optimization, and Post-Secondary STEM Education.

SCS has on-the-ground operational experience with demonstrated results in all three markets.


Electronics Industry

Microchip Details

SMB Services

User on Internet

STEM Education

STEM Education

Strategy Consulting

Electronics Industry

With a deep background in semiconductors (CPU design), EDA (P&L responsibility), EMS (Sr VP Strategy), and enterprise software (Corporate VP R&D), SCS has the staff which can work strategically with senior executives to optimize their enterprise.

Example past engagements have included working with a semi-conductor company to introduce wireless power to the marketplace, an EMS company to explore the smart-power market, and with an EDA company to optimize their core R&D software development flow.

SMB Marketplace

SMB marketplace is an attractive large market for many companies. However, channel management and optimization is a challenge because an enterprise model cannot be scaled, and a consumer oriented strategy is too expensive.

SCS has worked with past clients to build scaled direct-to-customer channels using modern digital marketing platforms in combination with responsive inside sales channels.

University Level STEM Education

Technology is fundamentally changing the education marketplace in terms of models of delivery(online, competency based, etc), cost, and staffing.

SCS provides deep experience for public and private universities to evaluate and upgrade their offerings such that they can take advantage of the coming technology Tsunami. SCS has successful ongoing engagements in this area with a public Polytechnic.

The Voice of Data Quality: Neither an Echo...

(12/02/2016) As published on on December 02, 2016 In the aftermath of the U.S. presidential election, and amidst cries about “the day data died,” it is fitting to respond to the purported demise of data and questions about the value of this subject in general. Let me, then, state at the outset that data are alive and well: It is the interpretation of data – selective by many and prejudicial by many more – that makes it seem that this material is irrelevant; that it has no voice, so to speak, except the one we choose (often erroneously) to give it; that the numbers are meaningless because, as Donald Trump’s victory over Hillary Clinton allegedly demonstrates, we should not trust this or any other kind of data.   In point of fact, the election should put an end to confirmation bias, not a stop to data. For the latter has a voice – it is the signal that separates itself from the noise – and it must be our responsibility not to confuse that sound for something it is not. It is our duty, not unlike that of a translator who seeks to best preserve the integrity of a document that he rewrites in a separate language, to stay true to the letter and spirit of the information before us.   If we take liberties with data, if we use the thinnest of pretexts to commit the most egregious of mistakes, if we choose to hear a portion of that signal while we ignore the entirety of its message, then it is very easy to lose your way. It becomes deceptively convenient to convert a few pings into a symphony of your own preference, one that says your candidate will win or your product with flourish or your business will thrive.   Our job is not to critique the sound, nor is it to muffle, distort or remix it. Rather, our task is to identify – and retransmit, in an accessible and intelligible manner – the totality of the things we hear; to know what the overall expression is, so we may respond to it with a campaign that resonates with voters or consumers or filmgoers or television viewers, or some other audience.  Remember, too, the words of the late physicist and Nobel Laureate Richard Feynman:  “The first principle is that you must not fool yourself – and you are the easiest person to fool.”  Put another way, data does not create fools; but fools create their own data. The latter is a grievous wrong because it proves another maxim by Feynman, this one having to do with the problems of social science. He says:    “Because of the success of science there is a kind of a … I think a kind of pseudoscience, social science is an example of a science which is not a science. They don’t do scientific … they follow the forms … you gather data, you do so and so and so forth but they don’t get any laws, they haven’t found anything, they haven’t got anywhere yet, maybe someday they will but it’s not very well developed, but what happens is… even on a more mundane level we get experts on everything. They sound like a sort of scientific experts. They are not scientists.”    Understand that data are not partisan. The sounds are what they are.    Whether we choose to listen to those sounds is our prerogative.

Can Data Science and Big Data Improve Design?

(10/21/2016) As published on on October 21, 2016A question for Designers and Data Scientists alike: Can members of the latter empower representatives of the former? Which is to say, can design – a discipline dependent on the artistic ability and the qualitative skills of a given person – become better and more effective, because of the quantitative knowledge of a specific group of experts? Can, in other words, Big Data improve design and create a greater emotional response among consumers? The answer is: Yes. Big Data can reveal certain preferences, and confirm the numbers behind those preferences, involving why people like sites that have, say, a particular aesthetic and a distinctive layout. While that information will not transform you into artist, and though that material will not bless you with an intuitive eye for how to draw, sketch or paint, it will make an already talented Designer a more effective user of this digital domain of creativity.  For we now have the chance to see the reasoning behind the popularity of an inherently visual medium like the Web. We have the intelligence to separate what works from what does not, so we can marshal design to drive more business, and increase sales and profits. We have the opportunity to make design more scientific, which means we have the chance to make the application of science more appealing to the public at large.  This material makes a Designer’s job easier – it makes the duties of my Designers simpler – because it removes the guesswork that can all too quickly cost a company considerable time and money. It absolves a Designer of the attempt to divine what people want, based on nothing more than one individual’s subjective belief in this or that concept versus something different.  In that scenario, the one where a Designer is not privy to data, a business can have a beautiful site that repels more than it attracts; that (unintentionally) rejects the wants of viewers and the needs of consumers; that is cause for alarm, not celebration, because its looks belie its performance.  Again, the best way to avoid that situation – and the best way to prevent a repeat of that sequence of events – is to analyze the data at your disposal. Examine this content for your own edification, as well as your own appreciation for the power of design in general.  Remember, too, that design is one of many important parts. Meaning: A site that is the manifestation of the accurate interpretation of data is a good thing – a necessary thing – but it is not the only thing a business needs.  Without excellent customer service, targeted marketing and a superior product, no amount of great design can suffice for the absence of these other things. And yes, data underscore these facts.  It should be the job of every Designer to use data to fulfill the requirements of a project; and it should be the aim of every Data Scientist to make design a priority on behalf of every assignment a client wants you to oversee.  This union between data and design signifies a new era in brand identity, customer outreach, marketing and communication. With design driven by data, and with sites designed to maximize data, we can have executives with greater insight, companies with greater intelligence and a workplace with a greater sense of wisdom.  We should welcome the arrival of this milestone, since it marks yet another triumph for data and an additional victory for clarity – of design and purpose.   Let us seize this moment for Data Science, and let us never forsake this invitation to be better designers.

Democratizing Big Data: Empowering...

(10/12/2016) As published on on October 12, 2016Democratizing Big Data, making it more accessible and affordable, is the key to transforming the way entrepreneurs do everything from overseeing website development and design to the manner by which they communicate with current and potential consumers. This shift, local in its ability to help entrepreneurs more accurately reach their respective communities and global in its implications for businesses of every size and interest, represents a permanent shift towards the creative executive – the enterprising individual – who can leverage this information for the good of his company and the benefit of the public as a whole.  Translation: Since this material is no longer the exclusive province of large corporations, and since independent experts can apply this data for entrepreneurs worldwide, every startup now has an advantage of incalculable value and immeasurable convenience.  On a practical level, this freedom demystifies the fields of marketing and promotions. For, when an entrepreneur knows what consumers want to discuss, when he can craft a message that resonates with these individuals on an emotional and intellectual level, he no longer has to spend a lot of money on a campaign that neither speaks to the interests of these men and women, nor manages to engage them in a sustained conversation about their various likes and criticisms.  That savings, which is substantial (and can be managed by a team of professionals), makes this undertaking more effective and interactive; it channels the best of social media – its dynamism, its power, its sense of personality and its immediacy – to enable an entrepreneur to establish a rapport with a specific group; to build the necessary trust between a brand and its supporters, so the former can flourish and the latter can prosper by way of exclusive discounts, customized outreach and exceptional benefits.  I write these words from experience because, in my role as Founder and CEO of, I seek to automate the rewards of Big Data. I make it a priority to empower entrepreneurs by giving them the intelligence they need, and by providing them with the talents of a team they can use, to separate the consequential from the inconsequential; to distinguish between subjects of supreme importance and topics of insignificance; to delineate between areas of maximum urgency and issues of minor alarm. These strengths are an asset for any and every entrepreneur, because they are an advantage for any and every business with an interest in being able to know the difference between the noise and the signal, so to speak.  What is Big Data?That term refers to the skill necessary to exclude immaterial findings, thereby allowing an entrepreneur – thus enabling any business owner, be it the head of a startup or the president of a multinational corporation – to concentrate on what matters. By having the freedom to democratize data, by having the flexibility to have experts manage this process from start to finish, the newest business can level the playing field with the oldest, richest brand.  And, to repeat an earlier point about affordability and the benefits of ready access to Big Data, this milestone marks a triumph for entrepreneurs around the globe. No longer is speculation the coin of the realm regarding marketing and communication. No longer is conjecture as influential as it once was, or continues (albeit temporarily) to be. No longer do business owners have to rely on feelings versus findings of legitimate value. No longer is there the needless tension between ideas versus action.  It is this democratization of Big Data – it is this revolutionary (yes, revolutionary) transition from a handful of corporations to a global community of entrepreneurs – that should guide every founder of a new or established business. With this combination of intelligence and wisdom, as one complements the other, an entrepreneur can lead with greater insight and more authority.  This scenario is a chance for entrepreneurs to better leverage their resources, and more successfully achieve their desired outcomes. Or, never has so much information – never has so much material, otherwise known as Big Data – been so easily intelligible for so many.  That situation is a boon for entrepreneurs of every conceivable interest, from every conceivable area of business, on behalf of consumers of every conceivable background.

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