Archives For Regulations

Preface:

Governments cannot embrace, much less promote Big Data, Open Data, Analytics, Machine Learning & Ubiquitous Algorithms without protecting the Citizens’ whom they work for. Social Engineering must be by choice, not by default through illiterate political leaders.

Body:

The UK Government as part of its “Digital Economy” initiative has just released with great fanfare the “Data Science Ethical Framework”. Its ministerial champion has characterized it as “harnessing the Progressive power of Data Science while protecting the Public”. It does neither, but clearly illuminates the lengths to which the UK Government (along with others) will go in trying to influence/dictate behavior in areas where they have no literacy at all in respect to understanding the underlying capabilities (Data, Analytics & Algorithms), nor the consequences of the harm (or actual good) that can come if left to their own devices. Not to be left to a footnote however, is the fact that these attempts at behavioral influence do not apply to the Intelligence community or Police services, both of whom want unlimited powers to surveil, gather data on everyone’s daily lives (and perhaps thoughts) and to then use these to ultimately predict behaviors i.e. The Snoopers Charter.

Ever since the notion of Big Data has come onto the scene, many have extolled its virtues in changing the world as we know and understand it. They have hyped with a zeal not previously seen the notions of Data Science, Data Scientists, Algorithms & Machine Learning, etc. Virtually all of them have advocated for its wide-scale use to analyze and predict citizens’ behavior in order to gain deeper insights, without any controls as to “just how creepy” this activity could get in terms of interacting with the public at large. Any attempt to limit the “how and where” Big Data & Analytics should be applied was met by the fury of these same advocates who characterized it as “stifling economic growth and wealth creation”. Not surprisingly, most advocates have been highly influential in getting Governments to go along with their thinking and to take a “hands off” approach. This has not worked out well for consumers who now see their daily lives dissected, analyzed and ultimately manipulated by the algorithms & machine learning associated with the deep behavioral insights now available to almost every organization who invests in Data & Analytics capabilities.

The backlash that now arisen from this lack of control is significant enough that many Governments have created Ethics Councils and other bodies who have gone on to generate reports & recommendations on the issue of  “Ethics in the age of the Algorithm”. Additionally, these same governments (US, UK, EU, etc.) are also major advocates of Digital and have undertaken major Digital Strategy & Transformation efforts within their countries[1]. These efforts have served to further exacerbate the Ethics Problem that we are now experiencing. A common thread found amongst all of this is the seemingly cluelessness that Government Leaders, Ministers & Civil Servants exhibit each and every time they make an address or pronouncement on the topic of Privacy, Ethics, Governance, etc. associated with Big Data, Analytics, Algorithms, Digital, etc.  Clearly, they don’t understand the underpinnings of the issues, nor the reasons why this topic has become so paramount in the public’s mind and their stated demands that it be resolved to their satisfaction.

Data (Big or Small), Analytics (Creepy or Helpful) & Algorithms (Evil or Good) are major influences in how the Digital World around us evolves, much less serves us. Beyond the well-rehearsed platitudes, there needs to be a fundamental mastery of the details associated with these domains by Leaders & Policy Makers who are ultimately accountable for making Citizen’s lives better, much less protecting them from threats. Without strong & competent Leadership, and controls (governance) , these same citizens will be victimized rather than benefited by Data, Analytics, Algorithms & Digital. The requirement for competent leadership is not a political platform for campaigning on, but a focal point for Government action in order to uphold basic human rights, no matter what pace of transformational change the country is experiencing.

An Ethics Framework that relies on self-governance, best efforts and serendipity to insure that consumer Privacy is protected and that Citizens are not victimized by their own data is a recipe for disaster. Government Leaders must commit themselves to leading at all levels and across all domains. They must be literate and competent in the areas that they promote as catalysts for change and not leave Citizens to the vagaries of Data Science, and all that portends to be.

[1] The UK Government has gone so far as to make the “Digital Economy” a centerpiece of the Queens’ Speech in spite of not being able to come up with a companion “Digital Strategy” that was promised quite some time ago.

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

Each year now as I advocate for Top-down Data Leadership by the CEO and his/her Board (as opposed to Proxy Leadership as a “Data Fashion Statement”), I use the 12 Days of Christmas lyrics as a theme to mimic in getting my message out over the holidays (in small bites). 2015 was no exception and you will find below a recap of my Tweets, along with a bit of embellishment beyond the 140 character limits.

Hope you enjoy it.

On the 1st Day of #DataLeadership the #CEO confirmed to the Board his/her Full Accountability for “All things #Digital, Data & #Analytics“. This is the central tenant of the Data Leadership Nexus where leadership manifests from the existing hierarchy which has now assumed full accountability for “All things Digital, Data & Analytics”.

On 2nd Day of #DataLeadership the #CEO & Board outlined the Strategic Outcomes which #Digital, #Data & #Analytics would deliver for the Organization. These core competencies must be leveraged to create tangible outcomes for every Oganization.

On the 3rd Day of #DataLeadership the #CEO & Board set their Data-driven Core Strategy into motion across all facets of their Organization. Data-driven begins with your Core Strategy and all its desired Outcomes. Data (facts) are used to help define the Strategy, to measure its progress along the way and ultimately to characterize the Outcomes in a meaningful way.

On the 4th Day of #DataLeadership the #CEO, Board declared: “We will Transform our Organization into a Predictive Enterprise within 5 yrs.” Transformation is a journey for every Organization. You must set targets along the way and eliminate barriers to success too. This is the role of the CEO & Board and it requires Continuity of Leadership as well as Conviction to achieve the Outcome in a finite time frame.

On the 5th Day of #DataLeadership the #CEO committed the Organization to achieving broad-based #Data & #Analytics Literacy within two years. Data & Analytics must be used pervasively and not selectively. This begins with Literacy & Competencies at all Levels, especially at the top where the most value from facts, measures and insights typically manifests.

On the 6th Day of #DataLeadership the #CEO enacted the Org’s plan to be #Data-driven in All Decisions, Measures & Outcomes going forward. Being data-driven is a major commitment and requires moving from an anecdotal (gut) -based decisioning model to a fact (evidence) -based on. It must occur at all levels where decisioning is required in daily & strategic operations.

On 7th Day of #DataLeadership the #CEO vowed to use #Data & #Analytics pervasively (not selectively) in creating their Predictive Enterprise. Pervasiveness is essential to becoming a true Predictive Enterprise. Data & Analytics can no longer be “specialist functions”, and must be used by everyone in all facets of daily work. This is the linchpin of any transformation strategy used to become a Predictive Enterprise.

On the 8th Day of #DataLeadership the #CEO & Board integrated #Data, #Analytics & #Digital into their #Governance & #Risk accountabilities. Data & Analytics are core to each Organizations strategy, tactics and operations. Their use must be governed accordingly in alignment the Organizations’ overall governance model. This applies to Risk Management as well. Data & Analytics are not outliers and must be integrated into the Org’s Risk Models & related activities.

On the 9th Day of #DataLeadership the #CEO, Board & All Senior Execs began their journey to become #Analytics-Literate Leaders within 2-yrs. The central tenant of the Data Leadership Nexus is Top-down Leadership. However, you cannot Lead what you don’t understand. This requires all senior execs, board members and the CEO to become “Analytics Literate” early in the journey to becoming a Predictive Enterprise.

On the 10th Day of #DataLeadership the #CEO detailed the key elements of Orgs’ Transformational Journey to become a Predictive Enterprise. Every successful Transformation requires a road map that details the key milestones and measures necessitated to achieve the outcomes of the Strategy. These will be unique for every Organization as it maps out its journey and the Outcomes it is pursuing. 

On the 11th Day of #DataLeadership the #CEO & Board assigned #DataStewardship Responsibilities for key #Data Domains across the Organization. There are many critical Data & Analytics domains in every Organization and they must be shepherded through their lifecycle by Stewards who are fully (or partially) responsible for this task. These Stewards are typically at the mid-tier of any organization and act as Asset Managers in the typical sense.

On the 12th Day of #DataLeadership the #CEO empowered the Org to use its rich #Data & #Analytics Talent to become a Predictive Enterprise. Empowerment is essential to the success of any Transformational Strategy. It is the Trust element and each CEO & every Board must instill in the culture of the organization. Empowerment engages every single responsible party in the pursuit of the common goal of becoming a Predictive Enterprise.

Look for more postings on The Data Leadership Nexus and Predictive Enterprises over the course of the year.

All the best in 2016!

RLLeadership-picture

 

MIT PhotoLast Weeks’ MIT Chief Data Officer and Information Quality Summit was a social media bonanza given the wide rage of coverage and groundswell of advocacy coming from all the camps who have a vested interest in seeing the concept of the “Data Czar” come to fruition. It was no less feverish of an event than those focused on Big Data or the role of the Data Scientist. It was truly an interesting spectacle to observe. I look forward to attending the next one of these “data fests” in the coming months.

As promised in my earlier postings on the Summit here is my Summary in the form of “Five Key Takeaways”

1.- There is no agreement as to “What is a Chief Data Officer?” It is an amorphous role description and has been designed to invoke thought rather than to define just what this executive should be Accountable and Responsible for in the grand scheme of things.

“Data is not stuff. It is the lifeblood of your enterprise and the Business is fully accountable for its Management and Leadership”

2.- A cross-sectional view of the CDO’s in attendance at the event (and a sampling of those not) indicates to me that this is (unfortunately) an IT role in most enterprises who have adopted it so far. This is disappointing, but not a surprise, given the lack of accountability for Information Management that most business leaders have failed to assume.

“IT is neither a seat of power nor influence in today’s enterprise. It is a cost center responsible for Service Delivery”

3.- Regulatory Compliance continues to be the dominant focus for all CDO Discussions and Activities. Keeping their CEO from being broadcast live during their “perp walk in his/her orange jumpsuit” for failure to accurately report on SARBOX, Dodd-Frank, Basel III, etc. is the major motivation for most CDO’s in Financial Services today.

“Risk and Compliance activities can be sources of Competitive Advantage for many enterprises if addressed as “strategic and core” rather than “necessary and evil” by the Organization and its Data/Information strategists and practitioners”

4.- MIT at large is studying (and experimenting with) the Chief Data Officer phenomena very closely. Using “Big Data” sources such as Interviews, Surveys and Social Media they are building a very detailed view (and analysis) of “The What and the Why” around the CDO and Data Scientist frenzies. Their “Cube” model (see my last posting) is a very interesting endeavor in respect to behavioral analysis and the tenants of good organizational design.

“To design a future state Organization focused on creating and embedding a culture of Information Management, Exploitation and Stewardship within it requires a deep understanding of the psyche of the current organization and its ability to change and adapt”

5.- The MIT CDO and Information Quality Summit has its roots in the study and analysis of Data Quality. It has been around for many years now and has only recently added the context of “Chief Data Officer” to its remit. However, the need to radically improve Data Quality has never been more paramount across all enterprises. We have yet to take this matter seriously and continue to treat it as a downstream activity or more cynically as “A hazard of doing business”. The more that we focus on the bright shiny objects of Big Data, Data Scientists, Chief Data Officers, etc. the less that we want to sustain the need to be ever-vigilant on improving Data Quality over the entire lifecycle for Information. We seem to have relegated ourselves to creating more of the same low quality data to attempt to analyze and make decisions from.

“Fundamentally, most data used by Organizations for Decision Making, Reporting and Insights/Analysis is suspect at best. We don’t understand its Provenance and resist all forms of Governance in terms of acceptable usage and behavior”.

As a final note, I will be writing a series of articles on the Chief Data Officer role for Information Age ( http://www.information-age.com/ ) over the coming months as well as speaking on it at upcoming industry events in the US & UK.

Stay Tuned!

Today is the first day of the annual DGIQ Conference on beautiful Mission Beach in the San Diego area. It represents the Pilgrimage to Mecca for all of the Data and Information Governance mavens in the world (although we still can’t seem to decide if it is Data or Information that we are Governing). It brings together Newbies, Veterans, Consultants and Vendors under one roof to discuss the Governance, Stewardship and Quality of our data/information. This year the fixation is on Big Data and the role of the Chief Data Office (CDO). These are fashion statements in my view and will be replaced next year no doubt by Privacy (our current fixation).

I am here with my Client, Salt River Project (Phoenix, AZ). They are a publicly-owned Utility (Power and Water) and live in a highly regulated world (NERC/CIP) but operate as a Commercial provider in a very competitive world around them. We are going to discuss their real-world experiences in establishing and maturing Information Governance in a mature bureaucracy. The Central Theme of the presentation focuses on “How to (successfully) Operationalize Information Governance within your Enterprise” (Hint: The message is to “ignore the Consultants and so-called Experts and leverage “what works” within your organization’s culture). It should prove to be an interesting story to tell to such an audience. Can’t wait to hear their reactions.

In addition, I am also here in my capacity of an IBM Information Management Champion. IBM is a Premium Sponsor of the event and will be giving 3x very good presentations on Information Governance. I am looking for some good inputs from these myself.

Finally, I will also be participating in activities associated with the Data Governance Professionals Organization (DGPO), DAMA and the EDM Council. All in all, it should prove to be a valuable investment of time and effort.

Check out the Agenda at:

http://www.debtechint.com/dgiq2013/agenda.html

Stay tuned for more details as the Conference progresses.

I have watched with considerable interest and bemusement the feigned outrage and posturing by many segments of the population since the revelations of the NSA’s global SIGINT programs. I find it all amusing at best given how little everyone has paid attention to fact that their Privacy began eroding back in the ’80’s and has diminished to Near Zero at this point. It is hard to believe that everyone should be so upset about something that they lost (or abdicated) such a long time ago (for many, before they were even born) and yet now are just realizing it. Nonetheless, perhaps these events and all of the spleen venting that continues to go on about them will start a dialog about “The Illusion of Privacy”.

Privacy is a state of mind (like Trust) that cannot be quantified or regulated in the world that we live in today. Virtually every consumer has abdicated their Privacy Rights by signing one EULA after another with their Service & Software Providers for all of the “apps, gadgets & devices” that they require to support their daily lives. Has anyone (besides Lawyers) ever read one of these before clicking Accept? Doubtful, I imagine and if you did read it what are your options? Decline is not one of them.

In the end we all must develop more Situational Awareness. If you fall into the trap of complacency and believe that there will be no consequences to anything that you post, write or say then you are truly the fool. We should all embrace the notion of “Low Tech” Face-to-Face (F2F) communications from inside our own personal SCIF’s (Secure Compartmentalized Information Facilities) aka our converted bomb shelters (for those who grew up during the Cold War). This is probably the only means of Privacy that we still have available.

Embrace the horror that we have created in our zeal for technology and for having abandoned our individual roles in checking the power and growth of Government intrusion in our daily lives.

Until next time.

Tuesday’s Theme at IOD was Big Analytics and IBM did it right. There was something for everyone in the offerings of the day. I was most impressed by the sheer number of Customer Applications by Industry Segment, much less the breadth of the portfolio that IBM has assembled since its initial acquisition of Cognos and SPSS.

 

Day 2

The day began with a presentation by Steve Mills, whom I refer to as the “Big Dog of the IBM Software Group”. Steve provided a good overview of the entire Information Management and Business Analytics strategy as it is currently being executed across the entirety of IBM. One could not walk away unimpressed by the sheer magnitude of IBM’s commitment to this space of the market, much less their accomplishments to date. It is clear to me that in spite of some very seasoned and formidable competition in the market, that IBM has “taken the hill” and plans on holding onto it.

For Industry Leaders out there take note; “Analytics is hard to do” no matter where you are starting from maturity-wise and in spite of you having committed your organization to becoming “an analytics-driven enterprise” it will be a long journey to get to such pervasiveness. Critical to success will be the selection of a Mentor/Partner whom will help facilitate wide cultural adoption and tangible results. Given my knowledge of the market, IBM is uniquely positioned to support you in this quest. They have acquired  a brain trust of Decision Scientists who come from all sectors of the Analytics Community. Two of the most impressive groups in the Analytics Portfolio are; the Decision Management and Risk Analytics teams. Both were constituted from companies that have been acquired (ILOG, SPSS, Algorithmics, etc.) along with IBM’s own deep bench from Research, GBS and SWG. They have a clear mandate to support Customers in accelerating their time to value and delivering strategic outcomes from each Analytics Initiative undertaken. True Yeoman’s Work in my view.

As we begin Day 3 I am going to “keep buggering on” (Sir Winston’s favorite line) and will endeavor to dig deeper into “All Things Big” in Information and Analytics here at IOD. I will be spending my time digging deeper into customer applications and testimonials as this is the real value in attending an event like this.

Stay tuned my Captains of Industry. I will report in tomorrow with an update and deeper insights for all of you to consider.

 

I have spent a great deal of my career working in the domain of Governance and continue to be surprised, much less amazed by the general lack of understanding of the term and how it applies to Corporations, Government Entities and Not-for-Profits. The term is bandied around by all and layered like an icing on everything that is done (or contemplated), but few outside of the Legal & Compliance domains actually know what its intent is, much less how to properly apply it.

I see this phenomena every day in my Executive Consulting endeavors in the Information Governance (IG) domain. Information Governance is fraught with many perils of its own (the notion of “Information is an Asset”, cultural change and adoption, lack of good tools and practices, etc.), but seems to suffer most from this lack of “What is Governance”.

Over the next several months I am going to post a series of blogs on the subject of “What is Governance?”. I hope that as a result of this, many of you will have a much better understanding of its value & power, as well as how to apply it successfully in your organization given its culture, challenges & opportunities and long-range strategic goals.

In closing, I will leave you with one thing to consider; “What is Governance to begin with?’

Governance relates to the consistent management, cohesive policies, guidance, processes and decision-rights for a particular area of responsibility.
  • It comes from the Greeks (kubemáo) “to steer”
  • It can be organized in many forms (suited to its purpose)
  • It is designed to create “a collective good” for the organization
Stay tuned for the next installment in this series; “Why do we need Governance?”