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Big Data, a Promised Land Where the Big Bucks grow

Consider this. Many people come up to me in the street, and, apropos of nothing, they ask me how they can make money from Big Data.

Normally I would send such people to see a specialist no, not a guru, but a sort of health specialist, but because this has happened to me so many times now, I eventually decided to put pen to paper, push the envelope, open up the kimono, and to record my advice for posterity and the great grandchildren.

So, here are my top seven tips for cashing in quick on the new big thing on the block.

1 A business Opportunity For Faith

Like every new religion, trend or fad, Big Data has its own founding myths, theology and liturgy, and there is money to be made in it; loadsa lovely jubbly money. By predicating and evangelising Big Data you will be welcomed with open arms into the Big Data faith, and will receive all the attendant benefits that will miraculously and mysteriously fall upon you and your devout friends. Go on, I dare you. Be a Big Data guru, a shepherd to a flock of sheep, and enjoy the wealth, health and happiness that most surely will come your way. You too can look cool in red Prada slippers, a flattering and flowing gown and matching accessories.

2 Acquire it, Multiply it, Weigh it, Mark it up and Sell it on

Simply stated, this is about acquiring other peoples data, by sacred means or profane, marking it up and then selling it on. The value you add is that you act as a trusted conduit, a conduit for good. You may care to enrich the data, swop the order of data, replicate and embellish data, make stuff up, etc. which all serves to add value to the data. You may even consider adding nuggets of value to the data, just for kicks and giggles. My best friends favourite is injecting the good old diaper and beer and friends and family clichs into every Big Data collection, as it never fails to thrill, please and delight.

3 Anything Can be Anything

The good thing about making money from Big Data is that it doesnt need to be anything to do with Big Data. Make a 20GB Enterprise Data Warehouse? Call it a Big Data success. Sell 20 boxes of dodgy doughnuts down the alternative market? Proclaim a Big Data triumph. Sell your digital porn stash to your best mate? Point to the incredible invisible hand of the Big Data market at work. See what Im doing there. Anything can be anything, and you too can cash in on that opportunity, big time.

4 Big Data Patronage

Tense, nervous headaches? Do you like making up stories about Big Data, or for that matter anything else? Are you a natural born fibber but are strapped for cash? Then worry no longer. If you get a Big Data patron you will be sorted for life’; get two and youll be sorted for the afterlife as well. With a Big Data patron you can get the most tenuous, crappiest and superficial of pieces published, promoted and vaunted globally. Cant make it up yourself, then outsource and offshore it, after all, just get the keywords right for SEO ranking and the gullible will flock to you in droves. The down side of this profession is that you will be targeted for writing half-truths, quarter-truths and downright lies, and you will be pilloried as a purveyor of rank hyperbole. But dont worry, take heart and never lose the faith, you will be in good company. As one Big Data guru was want to say If you repeat a lie often enough, people will believe it, and you will even come to believe it yourself. Amen! brother.

5 Big Data Certification

By 2016 there will be global demand for 30 billion Big Data professionals. Are you prepared to cash in on that inevitability? No? Then consider this.

One of my best friends makes his living as a completely phony Big Data Scientist. For two hundred bucks he can make you a Data Scientist or a Big Data guru. Some guys give you an education but this guy gives you immediate access to high paying jobs, sex and a life in the city. Moreover, for an extra 250 bucks you can also become a certified Big Data Trainer, which will allow you to do unto others what has been done unto you.

6 Creative Technology Reuse

Big Data has heralded in the biggest innovations known in the history of computing, and arguably in the entire history of humankind. One of those new inventions has been the now widely acclaimed and revolutionary flat file data base (FFDB), and this has been accompanied with developments in low level operating system primitives that allow for the processing of these collections and hierarchies of FFDBs. So, if one has a mind to do so, one can get some real business leverage off of these new tendencies by borrowing 21st century technology found in old operating system hacks from the sixties and seventies and eighties and nineties and Well, the point is that in order to get serious funding it is no longer good enough to have a half page business plan, it is also necessary to eke out stuff that works within the new paradigms of Big Data and Big Data Analytics. For my next venture I will be looking for serious funding for my Arbitrary Dawdle Down Data Street (AD3S) Big Data Analytics platform, a platform designed to support virtual 1k bit processing and the massively parallel provision of global regular expression search and match (S&M), concatenation and listing, and cooperative data-driven and streamed data extraction and reporting. Im hoping to attract the attention of governments, the EU, the Manic Street Preachers, the UN, China, Vladimir Putin, the DOD, HP, Oracle, Gartner, Lana Del Rey, Deloitte and IBM. So, this is going to be absolutely massive. Word!

7 Big Data Brokerage

According to leading management consultants and industry watchers Gartner, McKinsey and Deloitte, data needs to be managed and accounted like any other asset, such as money. To get into a similar view-point requires a massive leap of faith, but it is a conversion that might drive dividends. One avenue to be explored in eking out value from the apparently massively valuable Big Data lakes, silos and pools is through the operation of a Big Data Brokerage. A Big Data Brokerage is a business whose main responsibility is to be an intermediary that puts Big Data buyers and Big Data sellers together in order to facilitate a transaction. Big Data Brokerage companies are compensated via commission after the Big Data transaction has been successfully completed. They may also charge introductory fees. Just imagine the wealth of business opportunities in that. You could become the Goldman Sachs of data.

Thats it folks!

I hope you enjoyed this piece and would be pleased to hear your views on this and other subjects.

Whilst I understand the attraction and even the need of creating a new and significant growth industry, I would also advise a degree of restraint, and whilst I see that Big Data (the consideration of the potential value of All Data) has its allure, I also think that some good sense and informed caution should also prevail.

Martyn's range of knowledge, skills and experience span executive management, organisational strategy, strategic business performance and information management, leadership, business analysis, business and data architectures, data management, and executive and team coaching.

Martyn has worked with and advised many of the world's best-known organisations including Adidas, Banco Santander, Bank of China, BBVA, Boston Consulting Group, British Telecom, La Caixa, Central Statistical Office (UK), Central Statistical Office of Poland, Citco, Citigroup, Credit Suisse, E.On, Eroski, European Union, Fnac, France Telecom, Hewlett Packard, Iberdrola, IBM, Iberia, Infineon, Türkiye İş, Metropolitan Police, Movistar, NCR, National Health Service (UK), Office of the Governor - State of California, Oracle, The Home Office (UK), Rolls-Royce Marine Power Operations, the Royal Navy, Shell, Swiss Life, TSB, UBS, Unisys, the United Nations and Xerox, among many others.

He currently focuses on helping clients to:

-    Create relevant, understandable and actionable information 
-    Plan, manage, design, develop and deliver information supply frameworks for the timely, appropriate and adequate supply of information
-    Design, develop and deliver beneficial, tangible and usable strategic performance and information frameworks  
-    Design, develop and deliver relevant and coherent performance models, indicators and metrics
-    Plan, manage, design, develop and deliver information and data analytic strategies
-    Design, develop and deliver management informational insight and dynamic feedback solutions
-    Coach teams in measuring and managing performance  
-    Align people, competencies, processes and practices with strategy
-    Prepare clients for the next big thing in Information Management and Analytics
-    Help IT suppliers to better align with the needs and nature of clients and prospects
-    Help clients capitalise on tangible benefits derived from advanced information architectures and management

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