Archives For Competitive Advantage

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)

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

 

 

 

 

 

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

 

The Data Leadership Nexus is a path to success when it comes to realizing the numerous business benefits of Big Data and Advanced Analytics which have been extolled by so many in recent times and yet realized by so few. It is the linchpin of your Strategic Plan for building & sustaining “a culture of analytics” to foster evidence-based decisioning, deeper & broader insights, full knowledge exploitation and optimized strategic performance while making these behaviors pervasive across your entire enterprise. In my mind it is the path to realize everything data-related that we have been working on for more than 50 years now in Management Theory, Decision Science and Information Technology.

By definition: The Data Leadership Nexus is the intersection of; Top-Down Executive Leadership, A fully aligned Organizational Culture and the full exploitation of Data, Information, Analytics to create strategic outcomes, sustainable sources of competitive advantage and enterprise value within every organization that wants to become a Predictive Enterprise.

I define a Predictive Enterprise as: “The use of Predictive Capabilities driven by data, information & analytics to; optimize decision making, facilitate strategic & operational outcomes, mitigate risks and to exploit insights across the entire Enterprise”

The Data Leadership Nexus is comprised of these basic components;

  • Top-Down Leadership (by the Senior Executive Team)
  • Data, Information & Analytics
  • Organizational Culture 

Each component was discussed in detail in previous postings. They can be found using the following links;

#: Overview & Introduction:  https://infomgmtexec.me/2014/08/05/overview-the-data-leadership-nexus/

#: The Motivation behind The Data Leadership Nexushttps://infomgmtexec.me/2014/07/25/data-analytics-leadership-missing-in-action/

#: Top-Down Leadership:   https://infomgmtexec.me/2014/08/11/leadership-requirements-in-the-predictive-enterprise/

#: Organizational Culturehttps://infomgmtexec.me/2014/08/28/the-role-of-organizational-culture-in-the-predictive-enterprise/

#: Data, Information & Analyticshttps://infomgmtexec.me/2014/09/09/data-information-analytics-as-core-competencies-in-the-predictive-enterprise/

#: Additional Background Material: “Transformational Leadership for Big Data & Analytics Success” (Three-part series): 

  1. https://infomgmtexec.me/2014/06/27/transformational-leadership-for-big-data-analytics-success/
  2. https://infomgmtexec.me/2014/07/11/transformational-leadership-for-big-data-analytics-success-part-2-establishing-top-down-accountability/
  3. https://infomgmtexec.me/2014/07/20/transformational-leadership-for-big-data-analytics-success-part-3-organizational-design-cultural-adoption/

In future postings I will discuss; “How to Build & Successfully Execute your Transformational Plan for becoming a Predictive Enterprise using The Data Leadership Nexus as a Strategic Enabler”. 

In conjunction with a webinar that I am participating in on 2/29 ( ZD & IBM – “Get More from your Data: How Business Analytics Gives You a Competitive Advantage”), I am  posting  a series of four blogs entitled “Business Analytics and the Mid-Market“.

(To attend my webinar on 2/29, Register at: http://b2b.ziffdavis.com/webcasts/improve-performance-your-data-business-analytics/?tfso=10480 )

This is Final installment (No. 4).in that series; ”

To recap from my previous 3 postings;

  • Business Analytics (BA) is “the use of data & analysis techniques to understand your business in a a way that facilitates better decision making”. BA is “fact-based decision-making in real-time based upon a 360 degree view of the business. It portends to offer the highest potential for competitive advantage of any strategic enabler (much less tactical or operational) available in the business leaders portfolio today, much less the future.
  • To achieve true Competitive Advantage (CA) one must embrace the notion of Business Analytics  in a holistic fashion in order to create “a pervasive culture of analysis and numerical literacy”. The 5 components of a holistic approach are; People, Processes, Technology, Culture & Data
  • To achieve competitive advantage (via differentiation), much less sustain it, Organizations must make Business Analytics a core competency and foster its deep usage across all domains of the business. Business Analytics must be made pervasive across the organization
  • Critical to the successful creation of Competitive Advantage is the role of the Business Analytics Strategy. It should encompass all domains of your business and support the 5 Pillars (People, Processes, Technology, Culture & Data) of a holistic approach to Business Analytics.
  • A successful Business Analytics Strategy (BAS) is one that is fully-aligned and synergistic with the Organizations’ Long-Term Strategy (3-5 years) and companion Near-Term Strategic Goals & Outcomes (1-2 years).
  • The key to developing your Business Analytics Strategy is to find the entry and inflection points in your strategy’s execution where BA can be embedded and used as either a catalyst or an accelerator for success.
  • The value of having an Analytics Partner (AP) in this process is substantial and in the early stages of any organizations’ journey to Analytics Maturity they can make the difference between success and disappointment, much less outright failure.

“Choosing an Analytics Trusted Advisor to support your BA Strategic Planning Process”

At this point we have established that pervasive Business Analytics (BA) can be a game changer for every Organization. To achieve Competitive Advantage (CA) from Business Analytics you need a well defined Strategy that aligns all BA activities and outcomes with the Business Goals & Objectives (BG&O) defined in both the long-term and near-term strategies & tactics of the Organization. This alignment should be across all major domains of the Business/Organization. Fostering and leveraging synergies found in core information assets into Analytical Focus Areas that benefit the entire organization is the cornerstone of such a Business Analytics Strategy.

Developing a BAS requires collaboration and partnership with an Analytics Trusted Advisor in the vast majority of cases. Most organizations in the Mid-Market do not have the depth of personnel or base of applied experience required to create a comprehensive Business Analytics Strategy internally. Staff efforts are mainly focused on Operational Performance and Innovation Activities and not on strategy endeavors, therefore justifying the need for a Trusted Advisor as being paramount to success. Choosing a BA Trusted Advisor is an early step in your Analytics Journey (AJ) and should be done after a thorough and rigorous interview & selection process. There are many Business Intelligence consultancies who claim to be as good at Business Analytics, but one should be wary of such claims. Although the worlds of Information Management (IM), Business Intelligence (BI) and Business Analytics are merging together at many levels, the expertise required to develop a successful Business Analytics Strategy  is limited to a small community of Consultancies and Suppliers. In most cases you will have to take a long-term view of the partner whom you choose in the context of not only helping you to develop your BA Strategy, but ultimately helping you to acquire & deploy the necessary solutions & capabilities required to insure that the strategic outcomes successfully achieved. The Business Analytics Trusted Advisor will provide support in developing, testing and optimizing early Analytical Models & Data Sets. All of these activities will be complimented with an effective plan & activity set for Change Management & Cultural Adoption for your Organization. A holistic approach to your overall Business Analytics Strategy and its successful execution requires a long-term view of achieving success and the support of Trusted Advisor whom can provide all of these types of services to the levels required.

Choosing your Analytics Trusted Advisor does not need to be an arduous process. It could be as simple as engaging with an existing partner or conducting a quick survey of the leaders in the Business Analytics space who have focus areas on your type of business (Mid-Market) and industry segment (Service Providers, Software/Technology, Retail, etc.). The market leaders will all have consulting teams & solution sets optimized for the specifics of your size & type, as well as having a deep portfolio of  critical enablers for Business Analytics success e.g Strategy Templates, Specific Analytics Solution sets (Customer, Finance, Corporate Performance, etc.), Change Management collateral, Information Governance guidelines, etc. All of these elements will be required over the long haul as you move from Strategy to Execution t0 Outcomes. Additionally, your BA Trusted Advisor will bring an overall discipline to the overall approach by helping you to focus on early quick wins in your Analytics Journey, as you change your culture to being an Analytics-Driven one over time. The depth and maturity of your BA Trusted Advisors appraoch to achieving such outcomes while reducing risk to a manageable level is a Critical Success Factor that every organization should look from in their partner(s).

In the end, each Organization must define the criteria and process for choosing and engaging with an Analytics Trusted Advisor. Going it alone is fraught with risks and should only be advocated if the Organization believes that it has the depth of experience and know-how to achieve Analytics Success on their own. In choosing your Advisor one must look for a leader who has made/demonstrated a commitment to supporting Organizations of your size, ambitions and market focus. Only a handful of Consultancies/Suppliers in the marketplace rise to this level of distinction.

For more information on one such Trusted Advisor in the market (IBM), please check out the following links;

http://www-01.ibm.com/software/analytics/excellence-center/

http://www-935.ibm.com/services/us/gbs/bao/

http://www-935.ibm.com/services/us/gbs/thoughtleadership/ibv-embedding-analytics.html

In conjunction with a webinar that I am participating in on 2/29 ( ZD & IBM – “Get More from your Data: How Business Analytics Gives You a Competitive Advantage”), I am  posting  a series of four blogs entitled “Business Analytics and the Mid-Market“.

(To attend my webinar on 2/29, Register at: http://b2b.ziffdavis.com/webcasts/improve-performance-your-data-business-analytics/?tfso=10480 )

This is installment No. 3 in that series; ”

To recap from my previouspostings;

  • Business Analytics (BA) is “the use of data & analysis techniques to understand your business in a a way that facilitates better decision making”. BA is “fact-based decision-making in real-time based upon a 360 degree view of the business. It portends to offer the highest potential for competitive advantage of any strategic enabler (much less tactical or operational) available in the business leaders portfolio today, much less the future.
  • To achieve true competitive advantage one must embrace the notion of Business Analytics  in a holistic fashion in order to create “a pervasive culture of analysis and numerical literacy”. The 5 components of a holistic approach are; People, Processes, Technology, Culture & Data
  • To achieve competitive advantage (via differentiation), much less sustain it, Organizations must make Business Analytics a core competency and foster its deep usage across all domains of the business. Business Analytics must be made pervasive across the organization
  • Critical to the successful creation of competitive advantage is the role of the Business Analytics Strategy. It should encompass all domains of your business and support the 5 Pillars (People, Processes, Technology, Culture & Data) of a holistic approach to Business Analytics.

“How to Define & Create a Business Analytics Strategy for your Organization”

A successful Business Analytics Strategy is one that is fully-aligned and synergistic with both the Long-Term Strategy (3-5 years) and its companion Near-Term Strategic Goals & Outcomes (1-2 years). The Business Analytics Strategy cannot exist outside of these influences and should not be an after-thought in the Strategic Planning Process. In a recent MIT/IBM Study – “Analytics: The New Path to Value” ( http://www-935.ibm.com/services/us/gbs/thoughtleadership/ibv-embedding-analytics.html) 45%+ of the Top Performing organizations were using analytics-driven insights to guide & define their long-term strategies (to create competitive advantage). These same Top Performers used BA at a rate of 5x in comparison to lower performers i.e. pervasiveness. These statistics are a small subset  of the many that were uncovered in respect to how Top Performers differentiated themselves from their peers and the competition in numerous benchmark measures.

Business Analytics provides strategic enablement around the 3 major pillars of any long-term strategy*

  1. Using Innovation to Differentiate
  2. Revenue & Profit Growth
  3. Efficiency Enhancements (along with reducing inherent costs)
The key to developing your Business Analytics Strategy is to find the entry and inflection points in your strategy’s execution where BA can be embedded and used as either a catalyst or an accelerator for success. Every Organization will have different points along its strategic journey where BA can fill such roles, but typical ones would include;
  • Corporate Performance Management (Measuring, Monitoring and Optimizing key levers for Strategic Goal Attainment)
  • Product Research & Development (Design & Simulation, Quality Optimization & Zero Defect Designs)
  • Financial Management (Budget & Gross Margin Optimization, Cash & Investments & Risk Controls)
  • Customer Insights & Engagement (Advocacy, Brand & Awareness)
A successful Business Analytics Strategy fully aligns itself with all aspects (and aspirations) of the overall strategy for the Organization. Achieving successful outcomes from the BA Strategy process requires a partnership amongst all of the key stakeholders (Executives, Finance, Sales/Marketing, Engineering & Development, Manufacturing & Distribution, Support, etc.), the IT Services team (internal an/or external) and the organizations’ Trusted Analytics Partner. The value of having an Analytics Partner in this process is substantial and in the early stages of any organizations’ journey to Analytics Maturity they can make the difference between success and disappointment, much less outright failure.
Critical questions to ask/answer in your Business Analytics Strategic Planning exercise should include;
  • What are the measures of Strategic Success? How do we quantify them? Where and When should they be measured? What data sources & proxies are required?
  • How do we instrument the Value Chain and measure/monitor outcomes at critical junctures?
  • What predictors of success/behavior are critical to leverage?
  • What historical & real-time information sources are required?
  • What modeling methods are most appropriate and provide the deepest insights?
There are many others that you would want to consider given the breadth and scope of the organization’s strategy altogether. Your Trusted Analtyics Advisor should be well versed in your business vertical and know your organization intimately so as to guide/facilitate the Strategic Planning Process to a successful outcome.
In my final installment of this series (4 of 4), I will focus on “How to Choose your Trusted Analytics Advisor”.

* When one considers the fact for every $1 invested in Business Analytics there is an ROI of $10.66 (Nucleus Research Note L127) it would be hard to not include BA as a “strategic enabler” in any Organizations strategic planning endeavors.