Archives For Strategy

Preface: The UK Digital Strategy and the refreshed Government Transformation Strategy went from MIA (for more than a year) to DOA (as with all UK Gov strategies in recent months e.g. Brexit, Industrial, Digital Economy, etc.). Perhaps they should have stayed Missing in Action?

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After interminable delays the UK Government finally unveiled both its “Government Transformation Strategy (2017-2020)” and its “UK Digital Strategy” (parts of the notion of  a Digital Economy). To say they landed with loud thuds would be far too kind in my viewpoint.

These strategies were delivered by the Cabinet Offices’ “Top Digital Emperors” (Ben, Matt & Karen) and have been positioned “as the means to restore trust in the way that Government works with people, much less Democracy itself” as well as “to Create a Digital Economy that works for everyone”. Those are pretty tall orders for a Brexit-rattled Government that cannot define what their Leave Strategy actually entails.

Strategies come and go, but few have been set up for failure so substantially as these two.  These strategies are a Dog’s Breakfast of vague promises & aspiration that are the result of folly & fantasy of feckless Digital Emperors in Government, all of whom are desperate to show some “Digital” progress (and justification for their profligate spending). They pander to rising Nationalism and employ the tired practice of wrapping up their plan in empty patriotic rhetoric and slogans such as “The Government wants to serve” & “We have a plan for Britain”.

As expected, the facile Tech Press, Gov’t Funded Institutions and recipients of Corporate Welfare have all rallied around the Governments’ plans (or in some cases have remained silent so as to not draw attention to themselves) and are doing their best to promote its value to the UK, much less mankind itself. I am not a member of either of these camps and would like to share my unvarnished opinions with our readers.

To convey my view on these strategies I have chosen ten key points to focus attention on. Each will have a short note about itself.

  1. Substance (something worth fighting for). [Rating: very little].
  2. Leadership (someone you believe it). [Rating: virtually non-existent].
  3. Value (is it worth it?). [Rating: unquantifiable].
  4. he Notion of Government as a Business including Corporate Functions (Governments are not Business’ and vice versa). [Rating: hard to fathom].
  5. The use of Repetition as a Filler Mechanism (See if you can count the number of times that the same platitudes are cut ‘n pasted throughout). [Rating: high marks for repetition rate, but low marks for the content used].
  6. The Notion of Digital People (not a Culture of Digital) (an absurd reference to the fact that digital is special). [Rating: Nonsensical at best].
  7. The use of Farcical Financials (a tribute to bogus projections & other similarly dubious metrics) [Rating: expected, but the use of extreme specificity exposes it farcicality].
  8. The referencing of favorable Reference Points & Case Studies (cheery picked for maximum alignment w/themes) [Rating: these are bad and belie the fact there is no measurable success or financial benefits so far].
  9. Finding a way to “Blame it on Brexit” (If it fails (and it will); who do we blame?). [Rating: rubber stamp completed].
  10. The Level of Incompetence & Risk in the entire plan (not just mere whimsy, but rank incompetence). [Rating: doomed to fail, but it will still be heralded as a success].

While these evaluation points might be seen as harsh (or perhaps inconsequential) measures by some, let’s be clear; Strategy is a point in time view of a plan to get where you want to be. If it is crafted by people with no vision whatsoever (other than the next election cycle), with a mission that consists only of attaining & maintaining political power, and goals that benefit only those in power, then it is of little value, because as we all know “Execution of the strategy is 99.5% of the effort and consumes all of the money”. I see little to persuade me that precision in execution of these strategies will be the norm as the NAO continues to point out.

Brexit, no matter how it ends, will require all the Gov’t strategies to be completely re-thought and re-vamped. To create a “Digital Government which supports a Digital Economy made up of Digital Citizens” is a great political slogan, but means very little to the Electorate as it stands today with the greatest crisis in generations facing it; “What will Britain be like after Brexit and how does it affect me?” These abominations of a Digital Strategy and Transformation Program will not help whatsoever in bringing comfort to any Citizen in the UK.

 

*This posting in an edited form appears in the March 2017 issue of Information Age (UK) (www.information-age.com)

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Preface: I did not write a formal posting on the Data for Policy confab this past September, but wanted to at least share the materials that I presented and discussed during the conference.

Abstract: The notion of Data-driven Policy making and its associated Governance, is often challenged by the fact that the vast majority of Politicians, Civil Servants, Champions of Industry & Non-Profit Leaders are basically illiterate in the domains of data, analytics & decision science. Most of these leaders have come up through their careers making decisions based on gut instinct (experience), group think (consensus) or by using a modicum of summary data & visual analysis, but few have either a base in decision science or statistics, much less have bootstrapped themselves along their careers to become Data & Analytics Literate.

Educators today are faced with the daunting task of preparing future generations of Leaders who must have deep competencies & acumen in all aspects of data, analysis & decision science. Many have chosen to focus on the dubious discipline of so-called Data Science. These endeavors are for the most part a cynical attempt by educators to latch onto the latest fad and to create degree programs based upon cobbling together a hodge podge of disciplines which is sold to unsuspecting students as either an Undergraduate or Post Graduate degree opportunity. All fail at their mission and leave graduates, much less future leaders, with a degree that is sorely lacking in the core skills and competencies required to succeed with.

In my presentation at the Conference I endeavored to trace the roots of how we got into such a mess, what needs to be done to prepare individuals to become Data-driven Leaders and how Educators must re-think their approach to creating/adjust curriculum and programs to put all students on a path to Data & Analytics competency and mastery no matter their chosen field of endeavor. I focused specifically on the notion of Top-down Data Leadership that I coined several years ago and use to drive convergence on the key issues and competencies required by all Leaders, Managers & Employees to be use data, analytics & decision science pervasively across their Organizations.

Handouts & Videos:

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U-tube Interview: http://bit.ly/2iK4DPZ

 

Preface:

I spoke at Data for Policy 2016 this past September on the issue of “You can’t have Data-driven Policy if your Leaders are Analytics Illiterate” (http://bit.ly/2iK4DPZ ). I wanted to follow-up on those thoughts with this posting.

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Strategy is the path that Leaders divine for Organizations to take in pursuing their short and long-term Goals (Outcomes). Leadership is the glue that keeps everyone & everything together during the course of pursuing these Strategic Outcomes. Data Literacy is the new intellectual underpinning of every successful Strategy going forward.  All three working in concert is how Organizations’ can exploit the potential of Data & Analytics for Strategic Success at the expense of their competition or to delight their Citizens. It’s what I refer to as “Embracing the Data Leadership Nexus”.

We now live in a time where every Champion of Industry, Politician & Civil Servant, is a self-proclaimed expert on Strategy and Leadership and yet most (if not all), are Data (& Analytics) Illiterate. Having no specific first-hand knowledge or experience in the domains of data, analytics & decision science, they continue to rely on “processed information” (via so-called Data Scientists) and personal gut instinct to formulate plans, make decisions with and to react to emerging situations. Without hesitation, each decides what balance of “head and heart” they will use for each & every decision. In a dangerous twist, many “Leaders” in recent times have decided to ignore Facts & Evidence altogether and base their decisions solely on Ideology. I am certain that most of our readers are aware of these as borne out in the major political calamities of 2016.

There are many who aspire to the mantle of leadership. It is a tough road for most with many pitfalls along the way. Surmounting these challenges is part of the maturation & hardening process that Leaders must go through to earn their stripes. The challenges leaders face today and in the future, will be many and ever-growing in terms of complexity (and nuance), but they now have at their disposal science-based Facts, Evidence and Methodologies for making data-driven decisions at every turn. All that is required is belief in the notion of data-driven decisioning and basic literacy & competencies in the use of data & analysis to underpin decisions, insights & ultimately strategy (and tactics).  While straightforward in respect to need, the efforts required to overcome the lack of Data Literacy by Leaders are substantial. The current (much less next) generation of Leaders and Leadership candidates are not equipped intellectually and experientially to be truly data-driven. They must be mentored, tutored and enlightened by examples of where data-driven decisions have paid off in terms of differentiation, insights, risk mitigation, etc. This approach will allow them to experience first-hand the personal growth that comes from investing time and effort in Data Literacy endeavors and the benefits that manifest from it. It will also heavily influence other Leaders and those on the Leadership track as to what the future holds in respect to competencies and the outcomes that can be achieved by a data-driven approach.

Leaders today face a barrage of hype about Big Data, Digital & Analytics. Few actually understand what any of it truly means, but all want to “have some” for their Organization. This paradox of need vs. understanding must be addressed through Data Literacy endeavors. Only then will be have Leaders (and those in waiting) who are competent in the domains of data, analytics, decision science and yes, even digital. They will then have the acumen (and confidence) to define Core Strategies that will leverage these competencies to achieve specific & sustainable Outcomes for their Organization, regardless of sector. It will also bring to an end to the nonsensical notion that Data & Analytics, Decision Science and Digital are “bolt-on” functional capabilities that require separate strategies (or Transformation Program to make them achievable. Every Organization, regardless of size, sector or mission statement must use its Core Competencies in an integrated form to create Strategic Advantage. Leadership that is literate in these same domains is well positioned to exploit them fully, while reducing inherent risks to a manageable level of tolerance. This is what Strategy has done for decades using stone tablets and chisels and will excel at in the future by exploiting the benefits of Data Literacy from the top down.

Post Script:

For further insights see McKinsey’s two (late 2016) essential studies on data & analytics “Making data analytics work for you—instead of the other way around”, & “The age of analytics: Competing in a data-driven world”.

 * – An edited version of this posting appears in the January 2017 issue of Information Age (UK) (www.information-age.com)