Archives For Leadership

Preface*: The Data Leadership Nexus (Copyright 2013) connects Data, Information, Analytics, Executive Leadership and Organizational Culture to create strategic impact, differentiation and enterprise value within every organization striving to become a true Predictive Enterprise.

Body: As we all prepare to attend this May’s (Information Age) “Data Summit” (http://bit.ly/1sznhbV) and to celebrate those chosen as the (Information Age) “Data 50” for 2017” (http://bit.ly/2o6OjaP), I wanted to reflect on how far we have progressed (or not) on the notion of Data Leadership since I began to write about it in these pages (Information Age) in 2013.

The origins of the Data Leadership conversation go back several decades to my time in the supercomputer sector and the “Grand Challenge” problems that we had been tasked in solving. In those days, CPU speed (and cooling requirements) and Network bandwidth dominated the discussion, while Data drove the outcomes. During that time in history Leaders had deep backgrounds in Science, Engineering & Math and all understood first-hand the scope of these challenges, as well as the limited means to surmount them.

Fast forward to today and we find that much has changed since then in terms of the characteristics & competencies of Leaders, as well as Computing & Networking hardware. Today, Data is recognized as centric (in all respects) to solving all Challenges, Grand or not, but not very well understood by those who ultimately have leadership accountability for it.

During this span of time the Data Management Team (an IT function) remains for the most part in charge of all data within each and every Organization. Whether it is under the auspices of a CIO, or an anointed proxy leader such as a CDO, data is still managed by IT at the direction of technical leaders. This is not a measure of any progress whatsoever in respect to either treating data as a key Organizational asset or establishing accountability for its creation, use (via Analytics) and stewardship by the CEO and Board. How can this be one should ask?

I have boiled it down to one common theme; Does your CEO (and Board) have the Right Stuff to do the job (of Data Leadership)? The simple answer is (emphatically), “No, not yet!”

For those who are fans of the book/movie, “The Right Stuff”(1) you might have been persuaded to believe that it was a story about Astronauts and their early struggles & successes, but in reality, it is one about Leadership. NASA as a program was successful not by having better technology, but by leveraging competent & capable Leadership from the top-down. Each Leader in their hierarchy had” The Right Stuff” in respect to fostering the mission & vision of the Program from a position of strength in respect to their core knowledge, skills and acumen. These same strengths are the foundations of Data Leadership as well.

To fully realize the power of digital, data & analytics in any Organization, no matter the sector, the entire leadership team must be competent and capable in exploiting these capabilities in every activity they undertake. They cannot delegate these requirements to so-called Data Scientists, Proxy Leaders e.g. CDO’s, or those in the IT Department who provide service delivery to them. They alone must accept responsibility for the successful execution of your data-driven strategy and be accountable to their superiors (including the Board) if they fail to do so. A true Data Leader must be more than a cheerleader who demands that others provide fruitful outcomes from digital, data & analytics. He/She must lead by example and be “hands on” in terms of approach and delivering the goods. This is the essence of having The Right Stuff, not the Leadership Fluffery that I continue to see across all Sectors. Creating Competitive Advantage from your Digital, Data & Analytics investments and capabilities is a Leadership Accountability that every Data Leader must step up to in order to succeed.

In today’s world, bona fide Leaders are hard to find under the best of circumstances. True Data Leaders are an exceptional find for any Organization and most are an amalgam of many talents. They cannot educated for this role, but rather molded into it based on a variety of life experiences and inherent capabilities. True Data Leaders are well rounded, comfortable with their responsibilities and always have a bit of swagger associated with those who have The Right Stuff.

Please join us on May 18th for the Information Age “Data Summit” and learn more about “Data Leadership and The Right Stuff”.

(1) “The Right Stuff” (’79) – Tom Wolfe’s epic tale of the NASA’s early days and the Mercury 7 Astronaut Program”

*-This posting appears in edited for as an article in the April 2017 edition of Information Age (www.information-age.com) and can be accessed on the IA Hub (www.informationagehub.uk)

The UK’s: Government Digital Service (GDS), the US’s: Digital Services (USDS) and Australia’s: Digital Transformation Authority (DTA) are all train wrecks in every meaningful measure of success.

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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:

data-for-policy-2016-handouts-copy

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.

Body:*

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) 

 

Definition:

Psychological Projection: A theory in psychology in which humans defend themselves against their own unconscious impulses or qualities (both positive and negative) by denying their existence in themselves while attributing them to others.

Body: 

The Mayhem Government aka Theresa May’s Post-Brexit cabal has already left a lasting mark on the UK and its role in the Global economy during its short time in power. It is clear to me (and no doubt others) that in spite of the circumstances of her appointment, Theresa May absolutely believes that she has a mandate to change the UK forever and not just exit the European Union.  So far, her vision for the UK is decidedly one where the residents of England, Scotland & Wales will become much more homogenous, monitored 24×7 by the State and live in a world where the economic wealth and well-being of the country will be severely diminished for generations to come, all in the name of the rigid ideology known as “British Nationalism”. This vision for a Little Britain, along with the implications of using Big Data for mass surveillance, behavior control & the dissemination of government propaganda is what I will focus on for this month’s column.

EU Flag and UK Flag Piggybanks Exchange Rate Concept 3D Illustration

The rise of Nationalistic fever around the globe has been fueled by both rigid ideologies and the use of data (Big and Small) to gain insights on the public, as well as to control any opposition. Much of this has been conducted under the auspices of being for “public good” or in the name of “national security”, with all efforts specifically intended to concentrate more power, insights & control into the hands of Governments’ who are a lot less Democratic and a much more Authoritarian (much less paranoid) than they were just a couple of decades ago (Pre-9/11 & 7/7).

Many of us have foreseen these issues and spoken up, but the media and press have been co-opted by these same Governments to act as their Pit Bulls in stifling any opposition as well as reporting the truth. This toxic mix of rigid ideologies, concentration of power, the limitation of human rights and the muting of dissent has reduced the principles of Democracy to more of a notion, if not a source of ridicule by those now in power (or desirous of attaining it).  Examples of these endeavors in recent months in the UK (both pre & post the Brexit “Leave” vote) include;

  • The IP Bill (Snoopers Charter)
  • The Digital Economy Bill
  • The Department for Education – National Pupil Database
  • Home Office “Foreign Employees” Database

All of these “tools of control and surveillance” leverage the same Big Data capabilities that have be touted by so many as “virtuous and beneficial to society”, but in ways that few were openly willing to discuss publicly. However, there have been some recent discussions in the UK and US on managing the vision & scope of Artificial Intelligence for the public good as well as getting ahead of the tide of Discrimination that Big Data driven insights into Citizens behaviors has brought. In all cases these efforts were designed to distract attention away from the Government’s own behavior in respect to these and other emerging applications of Big Data and Advanced Analytics. In essence, the fears about the nefarious use of Big Data to harm or control the public are a form of psychological projection in respect to the Government shifting its own blame onto others, while standing in judgement against the Public and NFP sectors. It all would seem so laughable if it were not so serious.

The movement away from Democratic Government to one based on rigid Ideologies, along with the exploitation of Big Data & Advanced Analytics by these same Government’s has become a “clear and present danger” to all Citizens under their control. The accumulation of knowledge about each Citizens’ behavior & activities by the State is a bell that cannot be un-rung.  Massive databases, predictive analytics, machine learning, etc. are all tools of the Big Data paradigm and can be used as a force for good in the right hands or as an unbounded force for evil in the wrong ones. To imagine the scope of this potential evil one only needs to look back a short time in history to see how such information, albeit at a much more primitive level of sophistication, was used to discriminate, enslave and control entire populations across the world. The efficiencies brought by Big Data to this type of behavior control are limitless and should be feared by all that cherish the beliefs of ‘Liberty, Equality, Fraternity’. 

PostScript:  With the election of Donald Trump as the 45th President of the United States, I expect that all controls (albeit weak) previously in place to protect against the abuse of US Citizens by either Government or Industry in respect to Big Data, Privacy, Discrimination, etc. will all be thrown out the window immediately after the inauguration and that an “Enemies List” will soon be made known in terms of those that Trump and his disciples will go after. This List will range from Political figures to Ordinary Citizens all of whom having slighted Trump somehow in his authoritarian/fascist view of the world around him. These activities will make those of the Mayhem Government look amateurish in comparison.

* An edited version of this posting appears in the November 2016 issue of Information Age (UK) (www.information-age.com)


 

 

Preface: Enlightened self-interest  n. the principle or practice of furthering one’s own interests while simultaneously benefiting others

Body: The recriminations of the recent Brexit Vote continue to reverberate throughout the world with many in both camps lamenting; “How did this happen?”. One could clearly argue that an informed Electorate, by sufficient margin chose to leave the EU of their own free will. Others (including myself) will argue that the use of Dubious Data, Questionable Facts and Hyperbolic Rhetoric duped the majority of the Electorate into believing they had no other choice in the matter because their futures were being threatened by the Bogy Men (and Women) of the EU and other imagined threats to UK sovereignty. How could this come to be?

The UK has for some time been at the forefront of promoting the notion of Data-driven Government as the solution to many societal and governmental challenges. It has invested heavily in Digital, Data & Analytics initiatives, along with promoting educational & research-based endeavors which are designed to “raise all boats” in respect to competencies and acumen in the use of digital, data & analytics for insights & decision making. It has done nothing however to change the tone or tenor of politics in respect to using Data & Facts inappropriately to support their positions and to refute arguments by the Opposition. In the Scottish Separation Referendum of 2014, the General Election of 2015 and most recently in the Brexit Referendum (2016), politicians of all stripes abused & corrupted data & facts to fit their particular agendas; all with little or no oversight nor any real repercussions. This behavior cannot continue if any Government wants to call itself either Data-driven or Fact-based in its Decision making, much less claim the high ground in any debate or formal findings. The erosion of Trust in Government is directly correlated to this behavior and many now question any Data or Facts originating inside (or outside) of Government. Factual reporting or fundamental analysis of key issues & options for consideration.

The notion of enlightened self-interest has been a foundation of politics for many, many years. It is the grand bargain that Political Parties make with their members and those who financially support them. In the recent examples that I have cited there has been none of this. It has become a “winner takes all” battle of ideologies with collateral damage on both sides of the arguments. As one might suspect the first casualty of these battles is always the Truth, but now it has begun to erode basic Trust in Government and not just Politicians. The Electorate is now manipulated by Dubious Data and Questionable Facts at every turn and are voting against their own future well-being in an irrational manner.

How to reverse this course seems clear to me? There must be a rebuilding of the firewall between Government and Politics to such a level that a true “air gap” exists. Arm’s length will no longer suffice if Trust is to be re-established and maintained. In the Brexit run-up both Politician’s (Remain and Leave) and Civil Service Officials were complicit in creating Dubious Data and Questionable Facts (if not outright lies) for consumption by the Electorate without any real Arbiter of the Truth having a voice in the process. The Press, Special Interest Groups, Lobbyists and Self-promoters were all guilty of regurgitating this bogus & misleading information in wholesale fashion. All with no consequences. My recommendation is to put a stop to these behaviors immediately and to create an official body within Government who is the only source of the Truth when it comes to data, facts & reference information. This body must not only be non-partisan, but above reproach and influence. Those bodies that exist today such as ONS have been corrupted beyond redemption and must be not only held to account for their behaviors as “enablers” but stripped of their power by this new “Department of Truth”. Politicians, Detractors and Advocates will all have to use the same “blessed data” and “straight-forward facts” to support their rhetoric. Going forward the Electorate will only hear “the unvarnished truth” regardless of their appetite or appreciation of its implications.

The approach that I advocate is neither naive, nor uninformed by the reality of Government & Politics. It is simply the most straight-forward solution to the challenge. In the end, the Truth must prevail and it should not take an Act of God to get to it.

  • – An edited version of this posting appeared in the July/August 2016 issue of Information Age (www.information-age.com)

Preface: There are many UK Government Strategies, Manifestos, Advisory Boards, etc. and the list keeps growing each day. Here are just a few of the ones being touted by the UK Government at the moment; UK Digital Strategy, Mayor of London’s Data Strategy, GDS Vision for Gov.uk, GDS Principles for Government as a Platform, CO Government Data Programme, GDS Digital Advisory Board, CO Data Steering Group, UK Data Sharing Consultation, GDS Registry Advisory Board, Royal Statistics Society “Data Manifesto”, ONS Strategy post-Bean Review, etc.  You have to ask “what do all of these accomplish in respect to replacing/augmenting authentic leadership?”

Intro: The much ballyhooed UK Digital Strategy is apparently now in tatters. It has now been pushed out until after the BREXIT vote in the Summer, but is an indicator of the greater challenges in Government; A complete lack of competent leadership by the Cabinet Office and the Ministers who have been assigned responsibility for Digital, GDS and Other “transformational” investments. It also bodes disaster for Civil Service mandarins who must manage “the vision” and the budget simultaneously with no top-down leadership or direction.

As I proffer to all my clients whom I coach on Leadership: “You can’t Lead what you don’t Understand”.

Body: A common thread found today in every pronouncement by the UK Government and its Proxies is the role of the Strategy that they have developed, either independently (via consultants) or in consultation with a group of contributors/advisors (all of whom have an agenda seeking fulfillment). Each strategy is heralded as the means to achieve what has previously been unachievable e.g. Transformation; or disruptive in terms of changing the status quo e.g. Digital. According to these pronouncements, “All have been designed for maximum impact with little risk” i.e. Revolutionary. However, most will fail to achieve the desired outcomes which have been promoted to justify the investment or will be terminated altogether due to cost & time overruns, etc. (only to be resurrected later under a different name in many cases) at significant cost to the Treasury (and the taxpayers). Why is this always the case one should ask?

Having been a student of strategy (and its execution) for all of my long career, I find this phenomenon both exhilarating and nauseating at the same time. As you cannot see, I still have the scars of many failed strategies on my back; all of which were a result of bad leadership by my superiors who owned the outcome of the strategy, but were not invested enough to make it a success. In principle, Strategy is only 1% of the overall endeavor, with execution being the remaining 99%. This is the core challenge and the most troubling aspect of what I see so often in Government-Lead Strategies, Manifestos, Advisory Boards, etc. They are big on bluster & hype, but low on energy & commitment by their Leaders to achieving the outcome. One only needs to look at some of the pitchmen aka Leaders who are touting some of these strategies today to see real examples of this first hand.

Strategic Change must be part of every true Leaders portfolio of accountabilities in order for any Organization to grow (at inordinate rates), much less counter competitive threats. However, in politics/government where you have a partnership of the ruling party and the civil service there is always a disconnect, if not outright gulf between what is said and what ultimately is accomplished. To mitigate this risk many governments will engage Consultancies/Systems Integrators to deliver on their promises while they cheerlead from the sidelines and designate Civil Servants to “manage the program” as their proxies. This rarely works out and given the UK Government’s long history of large (and small) programme disasters it seems that few ever learn from these mistakes.

It is worth repeating what I have written many times before in this column; “Leadership must be top-down, hands-on and from those ultimately accountable for both the strategy and its success”. Appointing proxies or hiring contractors as surrogate leaders has never succeeded in the past, and will not in the future. The most important component of Strategic Change is that of the Organization’s Culture itself. An Organization’s Culture is the shadow of its Leaders. It mirrors their Leaders behavior and will support its strategic goals if trust has been sufficiently fostered and they feel engaged (not commanded.

Strategic Leaders must take ownership of all aspects of their strategies and drive their execution to success through both actions and deeds. These Leaders must rise to this challenge no matter what it brings and provide a steady hand through all phases of a Strategy Program, all the while keeping the lights on and wheels turning in the current operating environment. These traits are why I believe that “The mantle of Leadership cannot be learned, it must be earned through blood, sweat, toil & tears”. Most of today’s political leaders (so to speak) have reached their pinnacle of power by dodging accountability while taking glory for the hard work & ideas of others, and are ill equipped to be what I refer to as a Strategic Leader. Their partners in Civil Service, while independent of politics to some degree, are not particularly seasoned Leaders either as the system does not promote risk takers (who might fail) and continues to reward bureaucrats who duck for cover at the first sign of trouble. This creates a true Leadership Conundrum which must be reckoned with in order to succeed.

Leadership is more than a forward-looking vision and a grandiose strategy; it is about delivering on them. Without a crisis to focus on, most Politicians and Civil Servants cannot find it in themselves to rise to be real Leaders. Perhaps that is what many of these strategies need at the moment.

Notes:

1.- This article appeared in an edited form in the April 2016 issue of Information Age (UK) (www.information-age.uk)

2.- The featured image was taken at IBM’s IOD conference in 2012, but is being used in this context to denote how many so-called Leaders appear in public as they hype their strategic leadership capabilities.

 

 

A precursor to my discussion*:

  1. Digital has become such an amorphous term that few can describe what it actually means anymore
  2.  An effective Digital Strategy needs to be based on the Organization’s Core Strategic Objectives

Discussion:

Just prior to the New Year the UK Government quietly posted a notification that it was “seeking ideas for the next phase of the Digital Revolution”. From what I have seen in terms of those responses, they might have been better served by standing on a soapbox at Speakers Corner in Hype Park and asking passers by for their opinions, as their call to action has unleashed a torrent of “thought pieces”, Opinions & rants from virtually every corner of the UK.

Over the past several years, I have followed with great interest all of the Digital Transformation Programs that central governments across the world have embraced in their efforts to bring “Digital to the Masses”, while improving Government services, efficiencies, etc. Most of these have now evolved into “cults” with every agenda seeker and crackpot out there opining the virtues of their “flavor of digital” on social media and at every conference imaginable. During this same time, we have seen ever-increasing budgets allocated to these programs, high levels of management attrition and dubious ROI results being promoted as “savings realized”, but the single most glaring aspect that troubles me in virtually all of them is;  “What is the long-term Strategy”? It certainly can’t be just making better web sites or training the entire population to “hack code”? It is in this vain that I offer my opinion on “What is needed & what is not in the UK’s next Digital Strategy.”

As “digital” has now become a word without a stable definition, I will endeavor to ground my discussion in the basic notion that; “Digital as a term encompasses all disciplines in respect to embracing all that the Web, Data & Analytics have to offer”.  I refer to these as core competencies and believe that they must be leveraged in an Organization’s strategy in order to be an enabler of the desired outcomes from it. The UK (whether in or out of the EU in the future) must create a competitive strategy that makes its relevant on the world stage in order to capture inordinate levels of external investment, to develop the greatest talent pool in all sectors, etc., all at the expense of its peers. This notion of differentiation is a much more business-like view of the needs of a country, but most have been evolving their thinking in this direction for quite some time now. If the UK wants to “punch above its weight” in the world then it needs to make its core competencies the strongest & most sustainable anywhere, which cannot be easily duplicated or commoditized by countries motivated to do so.

What’s Needed? (to achieve this outcome):

  • Use “Digital” as a focal point to create sustainable sources of competitive advantage for the UK by baking it into every aspect of the long-term strategy for the country (independent of whatever party is in power) and the goals which it must be achieved i.e. Not a fashion statement or feel good program.
  • Develop Digital Leaders (Civil Service, Cabinet Office, MP’s, Charities, etc.) who are more than cheerleaders and partisan politicians. Educate everyone from the earliest age, throughout their entire academic & trade school careers to be literate in Digital, regardless of class or age. Promote Digital Leaders based upon competency and acumen (merit), not beauty, charm or politics. Develop Digital Leaders who “walk to talk” every day.
  • Create a National Culture that embraces “Digital at every turn”, not just one that consumes interesting content over broadband. Make Digital know-how essential to daily life in all Sectors of Government, Commercial & Non-Profit.
  • Invest inordinately in Education, Leadership Development, Infrastructure & Culture to create sustainable sources of competitive advantage in “All things Digital”.

What’s not Needed?

  • Superlatives & Exemplars: Digital is an evolutionary transition from the Analog world we have known for centuries. It is not disruptive, but can be transformational if executed with speed and precision. Hype is not of value in any strategy.
  • Grandiose predictions as to the impact of Outcomes or capabilities. At best, Digital is incremental in terms of benefits and sources of competitive advantage. It is the execution that is critical, not the idea itself. Benefits will manifest over the long term i.e. Transformational
  • Exclusion of any Sector from participation or realization of the full benefits of the Strategy and its outcomes. All boats must rise accordingly in this strategic journey.

A long-term Competitive Strategy for the UK should fully leverage all of its investments & know-how in Digital to date (Capabilities, Infrastructure & People) in order to create clear lines of differentiation in respect to other Countries who are pursuing similar paths, as well as to build sustainability for this momentum far into the future. The realization of  these outcomes will insure maximum benefits to the entire country and all of its citizens for decades to come.

Further Reading:

“What is Digital Transformation and Why do I need to embrace it?” (https://infomgmtexec.me/2015/10/29/what-is-digital-transformation-why-do-i-need-to-embrace-it/)

“Changes in Digital Transformation Leadership: Anarchy or Opportunity?” (https://infomgmtexec.me/2015/10/16/changes-in-digital-transformation-leadership-anarchy-or-opportunity/)

 

 

*- An edited version of this posting appeared in the February 2016 issue of Information Age (UK) (www.information-age.com)

Data-driven Government: The use of data (aka Facts, Information, Insights, etc.) to support all Decisions, Policies, Performance Metrics, etc. required in the daily & long-term operation of Government (at all levels).

Oxymoron: A rhetorical figure of speech in which markedly contradictory terms appear in conjunction so as to emphasize the statement ; gen. a contradiction in terms.

The notion of Data-driven Government presumes to solve the age-old challenge of balancing “head vs. heart”(1)  when it comes to decision making and associated activities in Government bodies. Data-driven Government creates a culture where decision making & behavioral outcomes rely on Data (aka Facts) to drive each and every aspect of day-to-day operations as well as the long-term strategic goals. The concept is not new at all and dates back many decades now, but has had limited success in Government until recently. The Data-driven approach has been brought to the forefront again as Government’s everywhere jump on the Data, Analytics & Digital bandwagons and proceed to Transform themselves into more agile and efficient bodies which can better serve the needs of its citizens, at substantially lower costs. It is clearly an ideology that has caught on in the numerous Digital Transformation Programs that we see around the world (UK-GDS, US-18F, Australia-DTO, EU-SDM, etc.) and has an almost religious zeal to it in respect to how Politicians and Mandarins characterize it in their advocacy activities (much less those who are actively involved in its delivery). However, beyond the rhetoric is the fundamental question; Is Data-driven Government an Oxymoron or a Reality? I will endeavor to answer this in the rest of my article.

Government (as a service and not quite yet a platform) has become increasingly complex to deliver effectively given the growing demands of daily operations and the increased sophistication & demands of Citizens in terms of their expectations from their Government. At the heart of this is a growing awareness, much less recognition, that Government is more and more like a business which now must compete for Customers in a highly crowded field of competitors. While this may strike some as odd, it is clear to most strategists that Government must keep up with advances in Decision Science used by the Commercial Sector in order to survive (at the polls at least).

To become a truly data-driven Government (and not cynically wear it as a fashion statement) the culture of decision making & performance management must change dramatically. This transformation begins at the very top of Government with the elected Officials who are accountable (with their Civil Service partners) for formulating and executing strategy and defining the associated tactics required to achieve the desired outcomes. These Officials must change their spots from being political hacks who use their power to force outcomes, to those who achieve outcomes by leveraging facts & measures. This approach must then cascade down to all levels of Government (Elected representatives & Civil Service) while remaining aligned along this path. The secret sauce in this approach will be balancing the political agenda of elected officials with the needs of citizens. Data-driven Government provides levels of transparency not currently found today even in the most progressive Open Data programs. The data used to drive these decisions must pass scrutiny by oversight bodies, opposing parties and citizens themselves. This leaves little wiggle room for political agendas to be fulfilled using smoke filled backrooms as a proxy for decision science.

Data-driven Government is a rationale that the Open Data community uses in their advocacy activities to justify further adoption and investments. They speak of “dog fooding” by Governments’ in respect to using their own Open Data to drive outcomes as well as enhancing Transparency. I believe that Open Data remains a PR tool for use by governments to control information outflows and to act as a proxy for transparency that comes from Freedom of Information laws. These efforts typify the fact that political power is hard to give up willingly by elected officials, but given the awareness of citizens to these tactics it will not be long before they are non viable.

In the end, will Governments’ have the political willpower to become truly data-driven or will they continue to embrace the politics of cynicism, power and cronyism? It remains to be seen, but strong seeds of change have already been planted and if supported by strong nurturing (via the electorate), plenty of sunshine (transparency) and nutrients (budget) it can and will become a reality.

(1) – The Head (cognitive) is all the rich data & insights that Governments accumulate and the Heart (emotional) being Politics/Human Behavior at its basest.

Note: This posting appears in an edited form in the January 2016 issue of Information Age magazine (www.information-age.com).

 

 

 

In January 2015 I wrote in my Information Age column about what I referred to as: “2015 – The Year of Data Leadership” (posted on my blog as well: http://bit.ly/1SCPZVr). I wrote on this topic periodically over the course of 2015 and included updates in my presentations at the PASS – “Business Analytics Conference (June – Santa Clara)” & Information Age’s “Data Leadership 2015 (November – London)”. Now that the year is finally complete and as we enter 2016 with a full head of steam, I would like to share with all of you a Report Card that I developed which “grades” the progress (or not) that was made in respect to executing on the basic elements of my Data Leadership Nexus.

There are three foundational categories which I would grade each Organization on in their pursuit of becoming a Predictive Enterprise.

  1. Leadership Literacy & Acumen in “All things Digital, Data & Analytics” (aka Top-Down Leadership)
  2. Strategic Leverage of the Organization’s Core Competencies in Digital, Data & Analytics.
  3. Empowering a Culture of Analytics & Data-driven Decisioning. (aka Cultural Adoption)

These three fundamental categories of the Data Leadership Nexus working in concert with each other can produce the maximum transformation & subsequent strategic outcomes in the shortest period of time. All require close monitoring and nurturing by the CEO & Board along the entire journey to insure the appropriate effects are fully instantiated.

The Nexus of Top-Down Leadership, Cultural Adoption and the enabling Core Competencies of Digital, Data & Analytics creates a unique strategic framework for becoming a Predictive Enterprise. Adopting the framework provides a path to strategic transformation, but requires each “leg of the stool” to carry its full weight.

Grading the success of any organization’s transformation into a Predictive Enterprise will always be subjective so I am using a scale of 1-5 (1 =Failing Outright, 3=Trying real hard, 5=Tangible Success) to provide some granularity, but not specificity as to actual performance (think of it as a trend).

The 2015 Data Leadership Report Card

  • Top-down Data Leadership by CEO & Board: (Grade=2)
  • Leverage of Core Competencies in Digital, Data & Analytics (Grade=3)
  • Cultural Adoption & Empowerment (Grade=1)

My Grading Rationale is as follows;

  1. CEO’s & Boards are beginning to move in the right direction in terms of their Accountability for “all things digital, data & analytics”, but more importantly that they are core to their strategy and must be integrated in up-front, not bolted on later. All Eight CEO’s featured in my series, “Profiles in Data Leadership” understand this intrinsically and did not have to be “converted” after the fact. There is much progress that needs to be made in respect to moving from a Technical view (delivered by IT) to a strategic view (driven from the top-down)
  2. Most (if not all) Organizations have invested heavily (and will continue to do so it appears) in digital, data & analytics solutions & capabilities, but have not made the transition to using them as Core Competencies. This is due to the continued fixation on specialization and not generalization of these skills. I see these barriers breaking down over time, but they are a disabler to achieving the pervasive (and not selective) use of digital, data & analytics to achieve competitive advantage and strategic outcomes.
  3. Moving the Organization’s Culture from gut-based & hierarchical decision making to data-driven & fully analytics empowered is a long-term journey for everyone, but is nonetheless the linchpin of strategic success. The use of Proxy Leaders and Unicorns (aka Data Scientists) is counter-productive to this effort as it leaves the vast majority of the Organization on the sidelines. Organizational Culture is the shadow of the CEO (and Board) and reflects their actions and demeanor. If you have a CEO & Board who are dedicated to Top-down Data Leadership you will soon have an Organizational Culture that is in lock step with the plan to transform into a Predictive Enterprise.

In 2016 and beyond I see major improvements in all three foundational categories, especially as the experimentation with the fashion statements of Proxy Leaders and Unicorns fails miserably and common sense/strategic approaches become the norm.

I will continue to write on this matter and to provide a 2016 Report Card over the coming year.

Stay tuned!

RL