Archives For #Data

Preface:

During November’s Data Leadership Conference in London I will be updating the audience on the progress to date that we have made during 2015: The Year of Data Leadership. I promise to share those findings in a subsequent posting shortly after the conference. In the meantime, this is the premise that started the thought process I used:

“The strategic value of Big Data & Analytics can only be realized when they are fully leveraged and exploited by the entire Enterprise. Top Down Data Leadership is essential to the success of these endeavors.”

Body:

As the focus of industry hype moves from Big Data to the Internet of Things we have a unique opportunity to turn our attention to one of the underlying disablers of broad success in using data & analytics to their full potential in any Organization; the lack of Top Down Data Leadership.  During the past couple of years we have seen a fever pitch in Organizations’ anointing proxies to the status of superheroes in respect to Data & Analytics Officers. While there have been many such appointments, most are now being scrutinized as the widening gulf between the rhetoric and reality becomes more apparent. This effort to create “Chief Whatever Officers” has been foolhardy in my opinion, as it has completely dodges the need for the Board and CEO to become directly accountable for the Organizations management and exploitation of data and their leverage of analytics across the enterprise to create a “culture of evidence-based decision making”. My aim in 2015 is to change this dynamic.

In 2015, I would like to create much more than awareness of this underlying challenge, but to make actionable its solution in what I am calling “The Year of Data Leadership”. In the Year of Data Leadership I would like every CEO and their Board (Public, Private, NGO, Not-for-Profit, etc.) to accept the fact that they (and Not IT) are fully accountable for “all things data and analytics”. I want them to embrace this accountability and make it core to their Strategies and Operational Plans. I am challenging them to step up to this leadership mantle and provide the Organization with a plan of action to put it on a trajectory to becoming a “Predictive Enterprise” within 5 years (2020). This Decision Making transformation would move them from being gut-based decision (relying on experience and anecdotes) making Organization to one where evidence (facts, decision science and the appropriate amount of intuition) guide all decisions at every level.

This is an ambitious undertaking for even the most agile of Organizations, but a necessary one if the competitive advantages of a Predictive Enterprise are ever going to be realized. To accomplish such a Transformation I strongly recommend approaching it as follows;

1.- Immerse the CEO, Board & Senior Executive Team in a series of Boot camps designed to immediately (and measurably) raise their acumen and competencies in the domains of Decision Science & Analytics, for “you cannot lead what you don’t understand”.

2.- Make Data, Information & Analytics Core Competencies in your strategic and operational endeavors. Make then pervasive and break down silos and centers of excellence to make capabilities mainstream and ubiquitous to all aspects of your operational domain. This will require investment in staff development and in the early stages may require shadowing of staff with outside experts, mentors and coaches.

3.- Manifest Cultural Adoption by all members of the Organization of this new strategic paradigm i.e. Becoming a Predictive Enterprise. Organizational Culture is “the shadow of the CEO, Board and Senior Executive Team”. It is found in every corridor and behind every door across the enterprise and is molded from the Top-down. To begin to change a culture requires Top Down Leadership to changes it behavior and modify all cultural norms and activities. The entire Leadership team must engage with the Organization directly (with support by Change professionals) to lead by example in regards to championing the new direction and its virtues.

This three-pronged approach will produce the maximum results in the shortest period of time and requires close coordination, substantial investment of time and resources to succeed. It is truly transformational and should not be a sub-priority to other Enterprise-wide strategic and operational initiatives.

The Nexus of Top-Down Leadership, Cultural Adoption and the enabling Core Competencies of Data, Information & Analytics creates a unique strategic framework for becoming a Predictive Enterprise. All components are required to work in concert to achieve a true transformational outcome within any Organization who wants to fully exploit data & analytics for competitive advantage.

*-This posting in an edited version appeared in the January 2015 issue of Information Age (UK)

The Data Leadership Nexus has five basic components;

1.- Top-Down Leadership (by the Senior Executive Team)

2.-4.- Data, Information & Analytics

5.- Organizational Culture 

We have explored Top-Down Leadership (#1) and Organizational Culture (#5) in previous postings and will now discuss the combined components of Data, Information & Analytics (#2-4).

In the Data Leadership Nexus the role of Data, Information & Analytics are what Michael Porter calls Core Competencies: “a defining capability or advantage that distinguishes an enterprise from its competitors”. They are not the underlying technologies, associated infrastructure and services that the IT Team is responsible for and what most of the industry conversation continues to myopically focus on i.e. Big Data. Instead, they are the inherent intellectual capabilities & acumen found broadly within the Organization and pervasively utilized across the entire Enterprise. It is in these Core Competencies where we manifest the ability to become a true Predictive Enterprise. The Predictive Enterprise is not a technology, it is an Intellectual and Cultural Construct for Creating Strategic Outcomes for each Organization.

The Core Competencies of Data, Information & Analytics compliment others which are specific to the Industry or Service Sector that the Organization serves e.g. Supply Chain in Manufacturing, Logistics in Consumer Goods, etc. They are that critical pillars that every Organization’s Strategies need to be built on and are ubiquitous in use by everyone within the Enterprise i.e. Core.  Every organization leverages and exploits their Core Competencies to create points of differentiation, drive operational excellence, manage risk appetites and to create/sustain other sources of competitive advantage in the modern enterprise.

As Core Competencies; Data, Information & Analytics drive everyday activities to achieve pervasiveness. Sustainable Competitive Advantage comes from the full leverage of these competencies in respect to the competition or other benchmarks (as found in the Government sector). Typical examples of the leverage points within the Core Competencies of Data, Information & Analytics are the following;

  • Data Curation: The continuous development, enhancement & stewardship of historical, reference, transactional & operational data sources to create the highest intrinsic value and agility for the Organization.
  • Information Exploitation: The business contextualization of Curated Data to create maximum leverage points in support of all Strategic, Tactical & Operational Goals set out by the Organization.
  • Pervasive Analysis: The continuous application of statistical, descriptive, predictive and cognitive decision science to Contextualized Information sources for use in Decision Making, Customer Insights, Risk Mitigation, Performance Improvement and Other endeavors that each member of the Organization is responsible for.

Each Core Competency has companion technical domain activities that are the Responsibility of the IT & Service Delivery Team(s). A collaborative framework is established between Data Leadership and IT/Service Delivery to insure maximum effectiveness and efficiency. IT & Service Delivery works in concert with the Accountable parties in Data Leadership (via a mutually defined RACI) to maintain, sustain and optimize the underlying infrastructure and delivery solutions such that the Strategic Value of the Data is maintained/enhanced and that all Information & Analytics competencies can be fully realized. This approach will typically require new structures in the traditional IT functional suite as well as its Leadership Team. These obstacles are easily overcome once the Organization has established a fully accountable Top-Down Data Leadership structure, strong Strategic Direction and a newly defined Organizational Culture which is driven by the beliefs that; Information is an Asset, Evidence-based Decisioning is the norm, and that the pervasive use of Analysis is the critical path to Real-time Insights, Risk Awareness & Business Agility.

Data, Information & Analytics are no longer outliers in respect to the Short and Long-term Strategies of every Organization. They are constituent components of every Organization’s Strategy in the form of  Core Competencies which must be fully leveraged and exploited to achieve the desired Outcomes and to create/sustain Competitive Advantage in a world where differentiation is hard to achieve and razor thin in scale. Each of these must be utilized to their fullest to create and sustain a Predictive Enterprise.

The Predictive Enterprise has three essential elements for Strategic Success; Effective Leadership, A Committed Organizational Culture & The Exploitation of its Core Competencies. In the next installment of The Data Leadership Nexus we will discuss the Integration of all these elements, along with supporting functions which are required, to achieve a full Transformation of the Legacy Organization into a true Predictive Enterprise.

In the meantime you can follow The Data Leadership Nexus discussion on Twitter via the #DataLeadership hashtag, in the September and October issues of Information Age (UK) (www.information-age.com) and at Data Leadership 2014 in London (October 30th) (www.dataleadership.co.uk). Finally, I will also be setting up private briefings for those Enterprises who are interested in how to transform themselves into Predictive Enterprises for this Fall in the US and UK. If you are interested you can contact me via email: richard.lee@infomgmtexec.com

Thanks for following along.

RL

I am presently waiting in the Boston Airport for my flight home to Seattle after attending the “8th MIT Chief Data Officer & IQ Symposium” this week and wanted to reflect on the above while the thoughts were still swirling around in my head.

The Symposium was extended by 1/2 day to support discussion on “Bridging the Data Science Talent Gap”. There were presentations from Industry, Consultants/Recruiting & Academia with almost a singular focus on the so-called “Data Scientist” (a fictional character resembling a Unicorn in my opinion) and how to create them, find them and leverage them for success. As expected given the demographics of the audience and the presenters the point of view was very much through the lens of technology with a smattering of business speak to provide some balance.

What was so obviously absent from the entire dialog was the role of Business Executives as Leaders of the Data & Analytics Initiatives across their enterprises. Instead, they were relegated to the role of providing the vision (a very limited one), funding, head count requisitions, capital investment funds, consulting contracts, etc. in support of the Chief Data and Analytics Officers, the CIO/CTO and Other Interested Parties and their plans of action. A clear belief was indicated by many that Business Executives were just not up to the task of Leadership. Why is that one should ask?

From my vantage point as an Executive Consultant I have seen this dynamic play out many times and the root case is that the Senior Executive Team is “Missing in Action”. There is a total disconnect between the Strategic Leadership that they provide and the requirements to successfully execute the Disruptive Strategy that Data & Analytics portends. This must change and immediately.

Today’s Senior Executive is not shy when it comes to expansion of their operational portfolios or the pursuit of risky endeavors such as Credit Default Swaps (CDS), Mortgage Backed Securities (MBS), etc. especially when it feathers their nest or vanquishes the competition. However, when it comes to Data & Analytics they are Missing in Action (MIA). This situation has created a management conundrum. Senior Executives cannot be Masters of their Universe when they do not understand the fundamentals of Astrophysics. In other words, their strength (and success) manifests from deep domain knowledge and acumen and applying these to creating sources of competitive advantage for their organization, not cheerleading a disruptive change in their business model which they neither understand nor can work from a position of strength to drive to success. In spite of being strong believers (and advocates) for Data & Analytics the vast majority of Senior Executives are not Analytics Literate. They have never worked in an evidence (or fact) based decision making environment, much less one where everyone across the Enterprise leverages Information & Insights in every task they are responsible for. I could go on for quite a bit more here, but will leave that for later.

I believe that we need to immediately change the dialog in the Data & Analytics Community from “Big Data, Data Scientists, Chief Whatever Officers, Data Lakes, etc.” and focus on Executive Leadership Development (not IT) and determine how to put the entire Senior Leadership Team on a trajectory where they can ultimately assume the Full Accountability for all Strategic Outcomes from applicable Data & Analytics Strategies and Plans. If we do not change this Organizational Dynamic in short order all bets are off.

I will be developing an overview of how to accomplish this in my upcoming series (and presentations) on what I am calling “The Data Leadership Nexus”. Look for an overview of this in early August.

RL

July is shaping up to be a busy month in terms of Editorial that I will be pushing out.

Below is a handy reference:

July 2nd – IBM Big Data & Analytics Hub – The Privacy Corner: – “Data brokers: Just how much should they know about you?” – http://ibm.co/1j9vXNK

July 3rd -16th – IBM Developer Works – “Champion Spotlight” – (http://ibm.co/1j2NyfB)

July 11th– InfoMgmtExec.me Blog – “Transformational Leadership for Big Data & Analytics Success (series)Part 2.- “Top Down Accountability”

July 15th – Information Age – July 2014 Digital Issue – “Leadership in the Age of Disruption” – (http://bit.ly/1sU3yol) http://www.information-age.com

July 23-25th – The 8th MIT Chief Data Officer & Information Quality Symposium (Cambridge, MA) – Live Commentary Twitter: InfoMgmtExec & Daily Blogging: Infomgmtexec.me

July 20th– InfoMgmtExec.me – “Transformational Leadership for Big Data & Analytics Success (series)Part 3.- “Organizational Design & Cultural Adoption”

Week of July 21st: Live Blogging from MIT Chief Data Officer & Information Quality Symposium

End of July – August & September: IBM Big Data Hub – The Privacy Corner: “Privacy & Social Experimentation”, Information Age (September Issue): “The Data Leadership Nexus”