Four Strategic Frameworks for Digital Transformation

Collectively, the world of business and IT just isn’t learning about effective ways to digitally transform nearly as quickly as it could be or should be. However, as we reflect on previous efforts, we can begin to see why this is: Lack of good storytelling, inadequate structuring for speed and agility, poor sharing of effective best practices harvested from hard-won industry experiences, or having these lessons collected together into understandable and applicable frameworks that reflect the realities of how hard large scale digital change really is.

We almost universally know now we must adapt to the digital future, to change and grow. But how best to do it remains the top question.

We’ve also learned along the way there are numerous submerged obstacles to digital transformation that won’t be denied and must be overcome before we can really even get started. Sometimes, as they say, we must first go slow to go fast later.

Stubborn and long-standing issues related to technology like technical debt or poor master data posture, to name just two, threaten to derail efforts before they even start. Issues related to the nature of people take up the rest, and can sometimes seem intractable.

Four Frameworks to Describe and Drive Digital Transformation

Consequently, in my work advising and/or leading digital transformation efforts, I’ve developed and refined four key frameworks built out of years of repeated use and validation in organizations around the world. These reflect many of the central issues that I believe we’ve learned that we must address and then codified them into a plan that most organizations can execute against. The motivation: I’m asked for what frameworks to use for digital transformation more and more frequently these days. So I thought it would be useful to share them along with some key insights in how they were captured.

An Adaptable Framework for Digital Transformation by Dion Hinchcliffe

The Adaptable Digital Transformation Framework. This originally came from my exploration of the organizational culture issues and long-term journey with digital transformation. It’s also one of my oldest and most seasoned frameworks.

This framework reflects at its core an ongoing cycle of (hopefully, self) disruption, refinement, growth, and renewal, backed by key pillars including culture change, leadership, goals/roadmap, business redesign, communications, education, and skill building. It also makes the key point that emergent innovation is perhaps one of the biggest outcomes, enabled by the key digital era technique of designing for loss of control, such as critical strategy of turning your business into an open platform that others can build on at scale.

A Digital Transformation Initiation Framework. I used to get asked more often than now about how to get started with digital transformation than I do today (as the majority of organizations have already begun in some way.) This framework focuses mostly on the first 100 days of an organization-wide effort and reflects the key activities that must occur.

If there is something I’d tweak about this now it’s the “honesty assess” task in the first column. I’d underscore it far more. That’s because most organizations aren’t going far enough in the deeply reflective examination and soul-searching they must conduct early-on at every level to understand what they’re really facing when it comes to digital change and adaptation. This step must be particularly emphasized in the framework or organizations will struggle to even start the journey. Technical debt and master data barriers are just the start on the technology side. Culture, inclination, skill, and talent are bigger issues and are softer human ones that are very challenging to resolve. For many organizations, these obstacles will take far more than 100 days to overcome.

Other than that emphasis, I’m pleased with the current state of this framework, even if too many organizations don’t take the cultivating and full-scale activation of change agents nearly to the level they should.

Modern Digital Leadership Unleashed by Network Effects: Digital Transformation

A Leadership Framework for Digital Transformation. More of a process flow view than a prescriptive view on how leadership should go about digital transformation, this framework is useful for showing how critical it is for executives and digital change leaders are responsible for defining a new business future state, rich in new products and services in the realm of customer experience and digital platform. The major change I’d make today is that recent data now shows that the CEO is now the leader most often involved in driving forward enterprise-wide digital transformation, and I’d position it so in this picture.

The Digital Transformation Target Model: Customer Experience, Employee Experience, and Supplier Experience

The Digital Transformation Target Model. Less of a framework and more of a description of the transformation journey from silos of function (marketing, sales, delivery, operations, customer service, R&D/innovation) to the three main experiences that must result from a successful digital transformation. Right now, customer experience is the focus, with employee experience a distant second, but supplier experience is finally bringing up the rear and becoming a genuine conversation. I’d not make many changes to this view based on recent lessons learned, and organizations should take this view deeply to heart in their efforts in digitization.

Frameworks: A Living Artifact of Digital Transformation Knowledge

One unfortunate fact is that organizations often developed or adapt their frameworks from the material they encounter, such as the ones above. But they fail to make it a living artifact that captures lessons learned and teach those that must join in and continue the journey.

Thus, if there is a lesson learned above all, is that as digital transformation becomes a long-term journey that organizations will remain on as long as they exist, they must do a much better job in capturing, codifying, and spreading the learning of what works and what doesn’t, as it changes and evolves through time. In fact, learning is ultimately the primary activity of digital transformation, so any successful effort will tend to emphasize it and capture it in their own frameworks.

Additional Reading

The Digital Power Values for The New C-Suite: The Modern Mindset of the CEO, CIO, CMO, CDO, CCO

Why IT Leaders Struggle with Digital Transformation

The Leadership Challenges of Digital Transformation | The Conference Board

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Why Microservices Will Become a Core Business Strategy for Most Organizations

As an industry, we have collectively returned to that eternal debate about what constitutes a largely technical evolution versus when an important digital idea becomes a full-blown business trend. This has happened before with Web sites, e-commerce, mobile applications, social media, and other well-known advances. It can be hard to remember that at first these were looked at as mostly technology sideshows. Yet they all went on to become serious must-have capabilities on the business side.

Microservices is now a current topic of this debate, as the overall approach is perhaps the most strategic technology trend that’s come along in quite some time. First, a brief definition: Microservices provide a well organized digital structuring of our business capabilities that are exposed to stakeholders who need what our organizations can do, and are usually accessed via open APIs. The concept is now poised to — sooner or later — become the primary digital collaboration fabric with all our enterprise data, IT systems, 3rd party developers, business parters, suppliers, and other stakeholders.

So, you read it here first: Microservices are how most organizations will eventually conduct the majority of their business, internally and externally.

Yet there is still considerable debate and confusion about whether microservices are merely just slightly more elegant network plumbing of our digital systems, of if they actually represent the primary conduit for operating our organizations. I fall in the latter camp, as this platform way of thinking in general has steadily emerged as the leading model for composing and integrating networks of systems and organizations. Don’t get me wrong: We had SOA, Web services, and APIs before — where I once posited that this would turn into a global service phenomenon, which it has — but these each had key details missing or not quite right. At this time, microservices does appear to be the best model we have, honed and culled from over a decade of thousands of organizations experimenting with various approaches.

I am now also clearly seeing from many of my CIO and IT contacts that developing a microservices strategy is rapidly becoming a key priority this year. Not sure that this is broadly the case? Just take a look at the recent JAX Enterprise IT priorities survey, which shows that microservices are currently the 3rd leading IT priority, nearly eclipsing the big trend on the block, cloud computing, one of the other hottest IT topics of recent years.

Yet microservices are often conflated with concepts like APIs, for which there is indeed a considerably close relationship, and so can often be relegated to the ‘we’ve been here already’ bin.

Why the sudden popularity and interest in what appears to simply be a more refined technique to easily integrate and communicate between digital systems? For almost all the same reasons that the Business of APIs and the API Economy had their days in the sun: Microservices take so many of the lessons learned in creating more composable, reusable, and platform-centric version of our digital organizations, strips them down to their very basics in terms of design and consumption, and then places them at the very center of how our organizations operate. (Note: Not everyone would agree at the strategic level that microservices should be designed and offered at the business domain or architecture level but many, including myself, do.)

Naturally, the question is why would we do this, and why would it be just about the most important thing we could do to enable a host of vital business activities and outcomes? Put simply, microservices hold the promise of truly unleashing the greatly underutilized assets of our organizations, both strategic and tactical. These assets include everything from data to talent to innovation, and up until now, we’ve been doing it piecemeal and without a real enterprise-wide design (though I’m cautious about overly top-down efforts here as well.)

Microservices: Building Blocks of the Modern Digital Value Chain

Microservices, by virtue of offering a well-structured way to engage and integrate with the world at large in scalable, digital terms, now appear to hold the answer to enabling faster digital transformation, lowering our levels of of tight coupling and technical debt, and substantially increasing much needed levels of IT integration. More centrally to business impact and growth, they also make it possible for us to build and cultivate bigger and more robust digital ecosystems with our stakeholders. This includes 3rd party developers and business partners to our very own workers and customers.

For me, I first saw the writing on the wall several years ago when I was helping develop the API strategy for the CIO of one of the largest organizations in the world. We had just completed an all-day workshop studying the benefits of opening up systems and data more simply and easily to make them as consumable as possible. I stressed these key points: 1) Open APIs make it far easier to create and innovate on top of existing IT and data, 2) they make it easy to create additional value many times over through nearly effortless integration between systems, 3) they achieve this asynchronously and highly cost effectively by systematically designing a high leverage and productized point of global interaction upfront, instead of hundreds of expensive point-to-point integrations over time. Upon reviewing this, the CIO suddenly sat back, the light clearly having come on, and said, “I get it now. The logical conclusion of all of this is that we need to provide a URI for every piece of data in our organization.” He was exactly right.

Put simply, this means that every element of enterprise data would have a unique link to it through a well-defined interface, which anyone can easily find and use to (yes, securely) access it and update it if appropriate. As I’m fond of saying, civilization advances when formerly difficult things become easier. This is exactly the vision behind microservices: Build and provide an incredibly simple and straightforward way of exposing our businesses in a highly useful and constructive manner so that the effort to connect systems into value chains becomes essentially near zero in practical terms.

Mindset: What Would Happen If Anyone Could Build Anything On Your Business?

The question I then put to those still trying to understand all this is the following: If we could access all our enterprise data simply and easily and could then integrate systems together with just a few lines of code, what could we do this with power? Virtually anything we can dream of, with almost no economic, technical, organization, or political barriers to achieving whatever we — or, and this is the big key, others — could dream of doing with our systems and data.

Because once strategic microservices that enable this are operational, then anything is possible. That’s because virtually all of our enterprise data can be reached, it can be harnessed, analyzed, and it can flow through to wherever it needs to be to extend and empower the stakeholder/customer experience. In fact, it’s the most potent way we know of yet to create and capture shared value and to do this so efficiently that literally orders of magnitude more high value integrations, connections, and innovations will take place (see: How Amazon Web Services makes most of Amazon’s profit.)

So why hasn’t this happened except in organizations at the very leading edge of the digital maturity curve? Because it takes 1) an understanding of the vital — even existential — importance of doing so in order to rapidly gather around a vibrant ecosystems of app creators, integrators, partners, suppliers, customers, and stakeholders and 2) the pre-emptive removal of the aforementioned economical, technical, organizational, and political barriers to doing so. In short, creating microservices, though they themselves are profoundly elemental network-accessible business capabilities to our organizations, takes real work, much of it consisting of softer, non-technical obstacles in the realm of culture, mindset, inclination, and leadership.

We already see examples of this happening at the enterprise vendor level. A particularly compelling example of a global set of microservices that expose much of what an organization does is Microsoft Graph, along with their microservices-friendly Service Fabric. While some will quibble with whether MS Graph is a set of microservices in the pure sense, the point is this: Much of what Microsoft offers its customers via its products is accessible within a well-organized enterprise-class set of data services. This is strategic to the point that Sayta Nadella has even called Microsoft Graph their “most important bet”, for all the previously cited reasons.

Microservices are also well established at some of the leading organizations in the world, including Amazon, Netflix, Uber, and a good many others. Less clear is traditional enterprise adoption at the strategic level, though my personal anecdotal evidence is that this is now very much underway in a growing number of organizations. Another proof point of expected growth is that business consulting firms like Deloitte are seriously talking about microservices as enablers for open banking and other industry transformations.

Microservices and Business: The Future

However, in today’s extremely fast-moving world, coming to the conclusion through a largely accidental and piecemeal route that microservices are the future will simply take too long from a competitive standpoint. This will result in a very much less than optimal set of services for your stakeholders. Thus, my advice on microservices in the enterprise is currently this:

  1. Most organizations should now begin a concerted effort to create an enterprise-wide set of microservices. And do it as a part of an overarching business strategy.
  2. This effort should be decentralized but a centrally coordinated effort. To be used to identify and design needed microservices.
  3. A commitment must be made to be in the business of integration and dynamic digital value chain building. Half measures have long-doomed efforts at SOA, APIs, developer networks, etc.
  4. Use design thinking to understand the needs of microservices consumers, then meet them. Understanding what the needs are, and being deeply empathetic to key issues like ease-of-use, performance, and the right to build a 3rd party business on them is key.
  5. Operate your microservices like your core business. Because they soon will be. Invest in them, advertise them, evangelize them, encourage usage, support them, and generate revenue with them.

A growing number of organizations I work with, including most recently one of the largest federal government agencies in the U.S., are now fully cognizant that most of their business will soon be conducted through digital channels. That aforementioned agency is already doing over a quarter of its business through APIs, and expects it will be over half in the next few years. They believe moving from data-based APIs to business-oriented microservices is their next task to go to the next level. So should it be for most organizations.

For the enterprise, achieving success with microservices is certainly possible through a patchwork of department APIs that are designed and operated without an overall business strategy, design, or structure. Or we can adopt a holistic microservices approach to create a more uniform, rational, consistent, and contextual set of open digital capabilities that also forms the basis of business strategy and architecture for the organization. The story is unfolding rapidly, and as I mentioned, I’m seeing an all-time high interest in microservices at the most strategic IT levels. Now that story must be told, understood, and realized on the business leadership side as well.

Update on September 20th: A few commenters have noted that they don’t think that most organizations believe microservices and APIs are actually viewed as business strategy, much less core to it. However, supporting many of the assertions I make above, I recently encountered a recent study from Cloud Elements. Their 2018 integration survey (which included 400+ companies, 27 industries with 26 outside of tech including finance, communications, engineering, and transportation on 6 continents) reported that 61% found APIs to be critical to their business strategy, and 85% fundamental:

APIs (open access to microservices) is Essential to Business Strategy

Additional Reading

My current Astrochart for the New C-Suite: Microservices figures prominently as a key C-level technology and business strategy

A Discussion of the Past and Future of Web APIs with Dion Hinchcliffe | InfoQ

How can businesses keep up with tech change today? | ZDNet

Designing the Digital Workplace for the End-to-End Employee Experience

As digital becomes instrumental to virtually every aspect of how we do our work in organizations today, two parallel and closely related concerns have joined the industry discussion. These two concerns, workforce engagement (which technology can very much help with) and the employee journey, have risen as urgent topics and joined the overall conversation about the needed capabilities of our work environments. This is because the designs of our future digital workplaces will so deeply inform and define these issues.

Over the last few years, I’ve noticed that most enterprises are still not adequately addressing how to effectively develop and maintain a straightforward and effective approach to technology enablement of the most important activities in the workplace. The proximate cause is sheer complexity as well as experiential noise, mostly of too much information with too little filter. Yet ironically, our businesses actually need to incorporate more technology and data into work procsses, not less, to do our jobs better and evolve the organization.

Thus, the way workplace technology is selected, provided, situated, and supported as a whole has proven generally insufficient to the task of addressing the trio of concerns I’d outlined above. We also have some significant new headwinds that aren’t helping and must be addressed constructively: Pronounced channel proliferation and fragmentation as well as an explosion of apps that run or better enable the business, especially in the mobile space. We generally need these applications, but not when their isolation (most don’t connect well to other systems) and fragmented data creates cognitive overload or involves too much effort for us to effectively use.

The Digital Transformation of the Workplace for End-to-End Employee Experience

Thus I still see many too many workers that in their day-to-day jobs still have to focus on spending much of their time feeding their work systems manually, via import/export and numerous other means, cobbling together an ad hoc experience across dozens of apps, just to prepare to begin their jobs for the day, instead of focusing on the more strategic higher-order knowledge work at hand.

The bottom line: Most practitioners I speak with believe there is plenty of room to improve this situation considerably, but aren’t generally sure how yet. Because of this unclear path forward, most of workplaces are still not expending any real effort in developing a more workable and usable overall employee digital experience. This is a major lost opportunity and it ultimately fails to serve our workers, our organizations, and our customers in vital ways. What’s more, it’s only going to become more of a challenge in the near future as IT continues to proliferate in every part of our enterprises.

Yet I do find that some of the solution(s) to this situation — and which will take real vision, commitment, and sustained change to realize — do exist in early form and are increasingly at hand.

Reconciling digital workplace with employee experience

To address all this, a while back I suggested that we were going to have to develop multi-layered strategies based on one or two experience hubs to cope with the increasingly dense and rich landscape of digital workplace tech. Sooner, rather than later, that we’re going to have to make the user experience, data experience, and community experiences more connected, holistic, and integrated, into some form of better integrated whole that probably looks like a) an enterprise social network, b) an intranet platform, or c) other experience platform where the employee digital experience can be better designed, orchestrated, simplified, aggregated, and connected to the apps and data needed to get work done.

I still believe this, but I also now realize that even with this we’re still neglecting the overall picture of employee experience, something that human resources (HR) has long focused on but that IT generally has not, even though our workplaces have inexorably become more and more digitized.

The opportunity is clear: By apply coherent purpose and design to the full end-to-end employee experience (pre-hire, employment, and post employment) — yet also proactively allowing ‘eccentric activity’ all around the margins that will drive needed the digital competition for new ways of working (and therefore rapid forward progress) — we can simplify, streamline, and direct the design of our workplaces (digital and physical) as it relates to technology to realize a far better employee experience.

To be clear, we won’t — and can’t — design or control the entire employee experience. That’s simply not possible, nor desirable, in today’s highly complex, fast changing, and sophisticated operating environments. Instead, we’ll use a design for loss of control mindset to transform the employee experience while focusing on the major use cases and employee journeys that matter most, while letting local change agents pioneer new ideas around the edge.

Using Design Thinking and Digital Workplace Strategy to Design and Develop a Better Employee Experience

To realize this change we’ll need to make digital workplace a higher order design journey with close partnership between HR and IT (really, in my projects, it’s mostly had to be the CIO and CHRO, who almost exclusively have the purview to mandate bringing together employee experience of every kind under a single umbrella.) Organizations that go from an accidental digital workplace to a more designed one will have much better results with their overall employee experience as well as targeted use cases (typically sales, project management, operations, product development) that have both high impact and strategic significance to the organization.

I’ll be exploring this confluence of the three main organizational experiences (worker, customers, and supplier) increasingly as part of my work in understanding the digital leadership issues in the enterprise. I believe these must be the primary focus of our organizations going forward, and addressing one helps address the others.

Catch me in person: You also can join me in Rotterdam, the Netherlands on May 21st, 2018 to further this discussion as I explore how to apply design thinking and digital workplace strategy to end-to-end employee experience from my latest digital workplace project efforts.
Engage Workshop, Rotterdam, Netherlands with Dion Hinchcliffe and Ellen Feaheny on Digital Workplace and End-to-End Employee Experience

Digital Transformation in 2018: Sustainably Delivering on the Promise at Scale

In 2017, we witnessed organizations take up the mantle of digital transformation with more conviction and effort than any time before. Funding, commitment, and leadership support was at its highest level ever and only showed signs of increased dedication. Ongoing success stories from many leading organizations showed that large scale technological and business transition was also possible for the typical company, not just industry leaders. Perhaps most vitally, the imperative itself became even clearer to leaders as disruption began to penetrate even into long resistant industries like healthcare, finance, and even insurance.

Yet it was also evident that last year was another major learning year, because through our efforts many of us gained an even fuller appreciation of the sheer size and scope of the required journey ahead of us. Combined this with the steady proliferation of new and important technologies last year and we gained both fresh urgency and a better understanding of the true challenges facing us. In 2017, the Internet of Things and artificial intelligence were felt particularly profoundly on the transformation agenda in the industry, along with data science, analytics, and other forms of capitalizing on the vast and invaluable streams of new information that better digitized businesses generate. 2018 will see the same, but with much more focus on reaching the market effectively and seizing network effect, and less on experimentation.

Of all the many lessons learned on digital transformation last year, perhaps the most important was that the complexity and pervasiveness of the necessary changes — organizational, cultural, and especially mindset — as well as the new technologies themselves require powerful new tools and techniques that simply didn’t exist a couple of years ago.

The Two Dimensions of Digital Transformation in 2018: Upside and Oversight for Opportunity, Governance, and Risk Management

The Twin Digital Transformation Lessons of 2017

Two of these new tools and techniques — culled from the hard won experience of the early movers in digital transformation — are particularly worthy of calling out.

The first was a result of the realization that a single, overly centralized change entity like the IT department, the digital line of business (usually led by the chief digital officer), or tech incubator was not sufficient in realizing the profound rethinking and realization of the entire organization in more digital terms. In fact, these entities might not even be that helpful in that they are overly focused on technology and may not have the requisite experience in applying to the redesign and transformation of the business itself. Instead, more decentralized yet highly engaged entities like empowered groups of change agents or networks of transformation teams seem to be more effective are driving long-term change both deeply and widely across the organization. This evidence is backed up by careful research last year by Professor Gerald Kane and his colleagues that digitally mature companies are more likely to have impactful enterprise-wide transformation efforts.

The second insight was that the raw building blocks for digital transformation that existed were simply too primitive, not situated for business use, too little informed by the vital patterns and practices now known to be necessary, and not designed to rapidly incorporate new technology and additional lessons learned as they emerged. In the past, we would have said we needed frameworks for digital transformation, and while those emerged as well, what we really needed was much more operational constructs that had these vital ingredients: A relatively complete cloud tech stack, workable blueprints for specific industries, architectures designed for high leverage that support rapid change, and business solutions crafted to a 40-60% level of completeness and waiting for the details of your business to fill in the rest. While Amazon Web Services, Microsoft Azure, and Google Cloud provided some of these building blocks, they simply weren’t complete on their own. Organizations such as SAP (with its Leonardo offering), Accenture, and others have thus created what I’ve called digital transformation target platforms, which are more mature, complete, and business-focused transformation vehicles and operational capabilities. Note: For more details, you can find a fuller explanation and list of such enabling target platforms on my recent shortlist.

Combined, these two lessons learned — which are equally balanced between the people equation and the technology challenges — are vital in my analysis to successfully tackle the digital change obstacles and opportunities at sufficient speed and scale. That’s because there are very significant competitive implications — that would be irrelevance and/or outright disruption — to moving too slowly or tackling digital change too narrowly and in silos.

The good news in my experience over the last year: More and more organizations are now indeed staring to find these onramps to the superhighway of much more rapid and effective digital transformation. Enough now so that it’s led to a second major — and steadily growing — issue that must itself now be managed as a top priority new purview. This quickly accumulating new tech and business portfolio which comes from achieving a higher change velocity must be well-managed and governed. We simply must keep our new digital businesses secure in an age of Meltdown and Spectre as well as complying with GDPR and all the other rapidly emerging digital regulations that threaten to impede our efforts.

The Two Dimensions of Digital Transformation in 2018

As we’ve emerged from the very early days of digitization, there is now a clearer sense of how to tie emerging technologies to specific outcomes. A generic example of such a map is shown above, depicting how technologies can combine and reinforce key desired outcomes ranging from data-driven management of the business and better employee engagement to satisfied customers and higher growth and revenue, while also optimizing the results, governing it all, and keeping everything running safely and securely. These outcomes can be broken down today into two different key dimensions.

The first dimension of digital transformation outcomes, what I call the upside objectives, is what most organizations have been mostly focused on until now, as they try to get out of the gate to create initial wins. You can see from the accompanying visual above, that technology does indeed define the art-of-the-possible when it comes to disruptive new products and services (blue circles, center.) While lightweight IT integration, cloud, analytics, architectures of participation, and smart mobility have been technology approaches we’ve had for a while, the modern focus on digital transformation tends to be today on building and wielding customer-facing experiences infused with digital business models, interconnected ecosystems, services built on top of the Internet of Things, and with many flavors of artificial intelligence to make it personal and differentiated. Even the digital workplace is seeing fairly comprehensive overhauls in many organizations precisely to provide the tools and environment for workers en masse to be more effective at transforming their part of the organization. As a result, low code tools, citizen developer, personalized digital workplaces, hackathons, and other ways of spreading out the hands-on transformation process to the edges of the organization to move more quickly are a focus here.

The second dimension of digital transformation outcomes, let’s call it oversight objectives, is a newer one that hasn’t had nearly as much focus so far but is about to become very important as organizations digitally innovate faster and create far more complex ecosystems and stakeholder-facing experiences. Otherwise known as operations, governance, performance optimization, risk management, and cybersecurity, these oversight capabilities must get better and scale just as much as the upside portion of the portfolio. To ensure these capabilities are funded and resourced just as well as the other side of the digital transformation coin is going to be one of the next big challenges.

The reality is that most legacy organizations are not structured or funded for delivering on continuous change as the norm, to do it sustainably, or at the scale required today. While we’re seeing next-generation organization models that will help, we’re all still learning a great deal about how to design the contemporary digital organization. That we simply have to figure it out is the reality for most of us, but the good news going into 2018 is that we have some promising avenues to explore for more successful results.

Additional Reading

In Digital Transformation, The Art-of-the-Possible and Average Practice Are Diverging

Digital Transformation and the Leadership Quandary

What’s really holding back today’s CIO from digital transformation?

Dreamforce 17: Live Blogging the Benioff Keynote #df17

I’m sitting here in the vast keynote chamber within Moscone Center in San Francisco again this year for Salesforce’s annual confab. Long since an obligatory pilgrimage for those in enterprise SaaS and cloud computing, Dreamforce remains the single largest business technology event in North America, and some say the largest software event in the world of any kind.

Dreamforce has once again taken over downtown San Francisco almost completely. The crowds are larger than ever and security is even tighter than last year, which was tight. With over 170,000 people here, the police presence is palpable this week, with some armed with what looks like automatic weapons. But the crowds seem more reassured than nervous about this, and frankly it’s a minor but notable shift in what has been an annual Kumbaya-style event that proactively celebrates diversity, equality, and social good just as much as the latest new technologies and products.

The Salesforce Economy Growth Projections Increase

The latest Salesforce econoy number are in as well. IDC estimates that Salesforce will 3.3 million jobs and contribute approxtimately $859 billion in new business revenue (yes, nearly a trillion dollars) by 2022:

The Salesforce Economy by 2022 (2017 Estimate by IDC)

A New Google/Salesforce Partnership for the Cloud

Salesforce has released a slew of announcements, especially around industry partnerships. The most significant is that Salesforce will integrate Google’s G Suite with multiple products and use Google Cloud Platform for international growth. The announcement is favorable for Quip, which will tie into Gmail, Hangouts and Google Calendar. Quip’s Live Apps will become embedded with Google Drive and Google Calendar with full Hangout integration. Data is shared as well with customer account details and information which can be used from Sales Cloud directly. More details on the Salesforce/Google partnership from Larry Dignan on ZDNet. Mostly, the announcement seems designed to head off Microsoft’s growing dominance in office productivity with Office 365, though there are some interesting analytics news as well.

The Salesforce Google Quip Partnership in 2017 #df17

The keynote will begin at 3pm PT and I’ll be live blogging is right here.

2:54pm PT: Will.i.am is doing a preshow on conversational interfaces.

3:07pm PT: Still getting in Ohana spirit as the usual Hawaiian commencement of Dreamforce begins…

Ohana Ceremony at Dreamforce 2017

3:09pm PT: Opening video roles. “The next wave is building. Digital and physical worlds are blurring. We’re in the 4th Industrial Revolution (also known as Industry 4.0). Revolutions never change the world gently. That innovations may only help a lucky few. We see another way. At Salesforce we live values of trust, growth, integrity, and equality of every individual in the world. The world is going to be changed by Trailblazers.”

3:11pm PT: “Welcome to Dreamforce. Let’s blaze a trail together.” Voice over now introduces Marc Benioff who comes out onto stage.

3:12pm PT: “The biggest job I have here today is to say thank you to our customers” say Benioff. “We are deeply grateful for all that you do for us.”

3:14pm PT: Now Benioff is talking about the 4th Industrial Revolution, which is apparently the theme for this year’s keynote. “I see it happening all around me. Incredible new tech like 3D printers, CRISPR, autonomous vehicles, and generation manufacturing.”

Marc Benioff Keynoting Dreamforce 2017

3:18pm PT: Now Benioff talking about luxury brand companies are becoming “so deeply connected to our customers. Coca-Cola is another great story. They have these incredible coolers. The next-generation of these coolers has a camera.” They can tell when the cooler needs to be replenished. “They are going through incredible transformation using this new technology. “Everywhere I go, I see this transformation. I recently stayed at Marriott. I’m a member of their loyalty program. But loyalty is dead. Now we’re on journey. Customer journeys, transformation journeys. They can even give me my key on my phone now.”

3:20pm PT: “That’s what all of us are doing, trying to connect better with our customers.” Now cites Ducati’s new connected motorcycles (see their CIO Piergiorgio Grossi’s vision for IT here at Dreamforce, a inductee to the Business Transformation 150 that Ray Wang and I selected this year.) as a new type of next-generation product. “Are these technologies united us or dividing us? Are we more connected or somehow less connected.”

3:23pm PT: “We have 2,700 sessions over the next few days” says Benioff.

3:25pm PT: Benioff continues to go over the major guests at Dreamforce including Michelle Obama, Ashton Kutcher, Kasper Rorsted, CEO of Adidas, and Ginni Rometti, CEO of IBM. Here’s the full list of major speakers at Dreamforce this year.

3:28pm PT: “Over 3,000 companies have adopted the Salesforce 1:1:1 model. And will do more than $12.5B in revenue next year. Thank you for what you have created. Business is the greatest platform for change.”

Salesforce Economy 1:1:1 at Dreamforce 2017 #df17

3:31pm PT: “It’s about the equality of every human being. When we see discrimination happening anywhere in the world, Trailblazers came forward and help change it. We’re committed to diversity and equality. We have to look at our boards of directors, management, and employees.”

3:32pm PT: “We are the largest net zero cloud company in the world. This is happening through all of you Trailblazers. We are the Number 1 CRM in the cloud. #1 in service and marketing. The fastest software company ever to grow to $12.5B in revenue. How did this happen? Because of you.”

3:34pm PT: “It’s amazing what you do with our platform every day. You’ve created that. And you’ve created this, the Salesforce economy. $859B in GDP impact by 2022, $1B in social impact, and 3.3 million jobs. Building communities, sales, collaboration, and industries. Trailhead is this tremendous educational environment. Einstein with artificial intelligence, Lightning, an incredible productivity environment for creating apps. Analytics in everything, and AppExchange with thousands of apps. So thank you for that. For inspiring us to build this.”

3:37pm PT: Now rolling video of Salesforce MVP Stephanie Herrara, on the power of Traiblazers. Now Benioff is up on stage with Stephanie, talking about her Salesforce Saturdays.

Marc Benioff with MVP Stephanie_Herrera at Dreamforce 2017 #df17

3:41pm PT: “Our platform gets bigger and stronger every day.” “Now I want to take a moment to talk about something new that you’re doing to see at Dreamforce this year. Our development teams have been working on creating tremendous next-generation capabilities. If you’ve been over to Moscone West to see that first floor on Trailhead. You’ve embraced Trailhead. It’s an amazing community in so many ways. 4 million badges have been issued so far.”

3:43pm PT: Benioff is now unveiling myTrailhead, “exactly for you. It’s Trailhead with your brand and your content. To make Trailhead exactly for you. This is your Trailhead. It’s the learning cloud, it’s the enablement cloud, and community cloud all in one. With myTrailbead, you can create Trailhead for your company. You don’t have to be a coder or programmer. You can create with clicks, not code.” This is one of the reasons I put Salesforce on my low code platforms ShortList recently.

3:46pm PT: You can deliver your own mobile apps without code. One last thing Trailblazers want to do, it to take all those things (coolers, motorcycles, and other physical objects) that they’re doing is to plug it into the Salesforce Customer Success Platform with (the just-announced) MyIoT. We want this as one single integrated CRM platform, that we can integrate declaratively without code. This is the more personalized and integrated Salesforce that you’ve always wanted. We want to show you in this keynote what this platforms looks like.”

3:54pm PT: Now Salesforce co-founder Parker Harris is up on stage talking about Salesforce and Heroku, claiming that they are the world’s largest platform-as-a-service (by what criteria I wonder, as AWS is certainly the largest overall.) “Employees can created ‘trailmixes‘ (which are described as ‘custom learning paths you create from your favorite trails, modules, projects, and superbadges’) and create their own education and playbooks.”

3:56pm PT: “Instead of having to hire new employees, you can send them to Trailhead instead” says Harris. Now talking about how Einstein will provide predictive forecasting. What if you could be a data scientist and create a custom field in Salesforce? What if you could build a smart custom field? We’re going to use Einstein prediction building to predict customer attrition. This can’t be generically put into the product, as it is very specific to your company. A beautiful new component. The Einstein platform is doing all the machine learning for you. Creating the scores and creating the insight. We’re going to get you dynamic layouts with dynamic Lightning Components.” A huge yell comes out of the crowd, as this is something that’s been sorely lacking up until now.

4:03pm PT: Harris continues to demonstrate mobile Salesforce experiences with T-Mobile. Wraps up all the news about the platform and hands the keynote back to Benioff.

4:04pm PT: “Salesforce technology has some incredible assets. One of them is strategic partnerships. Such as with companies like Amazon to deploy in Australia and Canada. And IBM, and Kone, with their CEO Heinrich and his talking elevators. So many companies are using the incredible capabilities of Watson. We have so many great strategic relationship. Today it’s my dream to introduce to you a new strategic partner: Google. You’re going to see an amazing new Salesforce capabilities in G Suite and running on the Google Cloud Platform. And you’re going to see customer insights like you’ve never seen them before, as we’re integrating Google Analytics in Salesforce for the first time.” Google execs come on stage to talk about it.

4:09pm PT: Continues telling the three customer stories. T-mobile story already told, now doing Adidas. Video: “We have to be able to respond to new consumer expectations immediately. If you’re not meeting their expectations at the first point, you’ve lost them right away.”

4:13pm PT: Now Stephanie Buscemi has come out asking if the 4th Industrial Revolution is bringing us together or driving us farther apart. Announcing 1-to-1 personalized journeys for customer using a tool called Journey Builder, whatever your preferred channel is: Mobile, e-mail, social, whatever. With Einstein Social built-in, Adidas is able to detect pictures of their product in social streams. “What all of you want is what Adidas needs to know in order to be successful. We made a really big bet last year. its called a DMP (Data Management Platform, a good background on DMP by Jack Marshall here.) It’s important to know and a game-changer in marketing. It captures Web online behaviors marries it with CRM data, and can then deliver personalized experiences.” Unfortunately, only ads apparently for now. My analysis: The DMP goes a good bit of the way towards mastering the critical “50 first dates problem” in engaging with and providing digital experiences to consumers today in an pervasively omnichannel world.

Stephanie Buscemi shows off the Data Management Platform in Salesforce at Dreamforce 2017 #df17

4:18pm PT: “Einstein bots are changing the world of service today” says Stephanie. Showing the DMP experience and how it’s unified across all customer experiences. Again, it seems about advertising right now, and not meaningfully customized consumer journeys.

4:27pm PT: Now the CEO of Adidas, Kasper Rørsted, is on stage showing off some 3D printed shoes that he’s wearing, which could theoretically print the custom size 14 show that Marc Benioff needs. “We see 1.2 million pairs of shoes a day. The more we can customized them, the more revenue we can produce, and the happier our customers will be” says Kasper.

4:30pm PT: Kasper says “we are opening an Adidas app today. We think by cannabalizing our industry we can completely change our industry.” Now Benioff is introducing the new customer story, of 21st Century Fox. Video rolling.

4:35pm PT: Now Leah McGowen-Hare is on stage talking about 21st Century Fox’s Salesforce journey, calling them a Trailblazer. They are using Quip, the “team collaboration platform”, with over 20,000 Trailblazers at the company. “Companies like 21st century fox have massive, highly engaged audiences. With Community Cloud they can share their enthusiasm and have a stronger connection with the brand.” See my analysis of Community Cloud here, which is one of the more underrated community platform in the industry. Now showing a highly customized Salesforce Sales Cloud that’s completely skinned for the company and called the Global Theatrical System (GTS) replacing Excel and e-mails.

4:40pm PT: Leah showing how AI, analytics, and Sales Cloud can accelerate sales for the new movie Deadpool 2. We get a confetti drop as well.

4:46pm PT: Marc wrapping up the keynote talking about how tech can divide or unite us. “Dreamforce and all of you are more important than ever before. The inspiration is in our own hearts, and where you’re going to take us. Welcome to Dreamforce 2017.

That’s a wrap for the Dreamforce 2017 main keynote, I’ll post my analysis of where Salesforce is going next on ZDNet shortly.

Additional Reading

Relevant for Trailhead: The digital transformation of learning: Social, informal, self-service, and enjoyable

Assessing Salesforce’s platform and ecosystem

Vital Trends in Digital Experience and Transformation | Dreamforce (34K+ views)

In Digital Transformation, The Art-of-the-Possible and Average Practice Are Diverging

I’ve long noticed an interesting phenomena when it comes to more fully digitizing our organizations. Namely, that it mostly looks like what other organizations have already been doing. Because we are all almost entirely still early pioneers in a brave new technologically-infused world, this shouldn’t really come as a surprise. Since there are an almost infinite number of directions we could go, copying that which we see that works well just makes good sense.

This herd mentality of digital actually has numerous causes: Proven best practices for digital are too few and far between, successful experiments are often hoarded for competitive motivations, digital innovators by definition take on often untenable risks we’d prefer to avoid, and perhaps most of all, we are still trying to get used to the rapid pace of learning that digital requires to stay abreast.

A big reason for this state of affairs is because digital is inherently complex in its realization, intangible by nature (thus it can be hard to study and assess), and difficult to actually understand in context since it’s now so deeply connected to everything else today. This makes it hard to identify the root cause of any desired effects. Combined with the slow rate of change in people when it comes the requisite shifts in culture, skill, and inclination for new digital ways of working, and the result has been a clustering of most organizations around a similar level of digital maturity: Relatively low.

Digital Maturity: Technology Is Driving the Leaders and Laggards Apart

Digital Maturity is a Team Sport

This was made evident a little while back when McKinsey published their in-depth analysis of 150 representative organizations around the world and their digital maturity in 18 dimensions (see graph above.) It uncovered a wide range of digital maturity, but most notably revealed a sort of inverse Lake Wobegon effect, where most organizations were in fact performing well below average.

In other words, average practice is steadily and inexorably diverging from the art-of-the-possible in an exponentially changing era of technology evolution. This is leaving a great deal of space for leaders to find the leaps forward that are dramatically better and thereby own the market opportunities.

Yet, we also know that when applied for its unique strengths — for faster growth, better engagement, reducing friction in commerce, improved efficiency, and so on — technology can be a tremendous force multiplier (something noted about a decade ago by Andrew McAfee and Erik Brynjolfsson), propelling the leaders that focus carefully on these strengths far head of the laggards. This gap is real, which we can see from the data above, and it’s growing quickly in my experience.

Nevertheless, whether I look at the digital workplace, customer experience, or digital transformation efforts that I’ve been involved in over the years, I tend to see the same thing: The application of average practice that, while proven, will assuredly put most organizations into the also-ran list and fail to propel them forward digitally in a meaningful way.

Over time, this has led me to ask what the digital leaders are actually doing that has gotten them much farther out ahead. In short, my ultimate analysis is that they appear to be learning better and faster about digital in key ways — and from a larger variety of sources — than most other organizations. They also then apply these lessons effectively to their business. Digital leaders tend to eagerly gather lessons and evidence broadly and early, especially outside their organizations. Without this, they are limited to what they’re able to learn linearly on their own, through solely their own efforts. There is also good evidence that this is what most organizations do that have survived a long time, from the work of Shell’s Arie de Geus (and which I frequently cite in my keynotes and talks):

These companies were particularly tolerant of activities in the margin: outliers, experiments and eccentricities within the boundaries of the cohesive firm, which kept stretching their understanding of possibilities.

This same line of reasoning has led industry colleagues like John Hagel to conclude that scalable learning, especially across organizations as Don Tapscott has noted in his research on Global Solution Networks, is essentially the only sustainable competitive advantage. But as I mentioned above, competitors usually don’t like to share lessons learned, and it’s often hard to transfer lessons from one style of organization to another, say across industries or geographies.

The key existential question now is this: How can we use today’s capabilities to learn much better as organizations?

Overcoming Digital Transformation Maturity Barrier with Community Learning, Outsourcing, and Copying for Fast Follower

Three Roads Over the Digital Maturity Barrier

How then are digital leaders overcoming the digital maturity better? In my experience, they are doing one of several things that allows them to pool their digital experiences and investments, then tap much more widely and sustainably into shared lessons learned that they can each use and quickly build upon:

  • Community learning. Non-competitors can come together across organizations to share their digital knowledge and lessons learned, and especially, tackle digital challenges too big even for large enterprises. This kind of cross-entity learning primary comes in three forms, though there are numerous ways to do it: Industry consortiums, which we’ve long had, as well as more digital versions of consortiums such as collaborative multi-organizational Networks of Excellence and of course, the aforementioned Global Solution Networks. These require the highest level of effort but are also the most sustainable, effective, and most likely to reduce the risk of disruption by truly capturing and wielding collective intelligence.
  • Outsourcing. Pull in expertise gleaned from hundreds or thousands of other companies by building on someone else’s mature and evolving ecosystem or digital blueprints. Amazon’s cloud stack and Apple’s iOS platform are great examples of this that countless companies are using today (Netflix using Amazon, for an industry leading example), while increasingly we’re seeing industry blueprints emerging for digital transformation of their entire organization. See the overview of my Digital Transformation Target Platforms ShortList for some details on blueprints.
  • Copying the Leaders. This has long been a corporate strategy of so-called fast followers and it works well for some. This approach basically uses 3rd party investments, discoveries, and exposure to risk in an arbitrage fashion, for their own benefit, picking and choosing what works and avoiding the downsides almost entirely, though some have certainly criticized the fast follower approach, others have cited organizations like Samsung as becoming market leaders by using it. Although technically another form of outsourcing, this model also works in a group of competitors. Downside: You won’t have any “moon shots” or big digital breakthroughs on your own and so you’re still at high risk of disruption.

Clearly, this list is in rough order of preference, though all are workable strategies and will likely be used in combination. That said, the vast majority of organizations are taking the easier routes of the second and third items on the list. This means letting Amazon, Google, Microsoft, IBM, and SAP pathfind their future and build on their capabilities/ecosystems, or being content to cherry pick from the successful digital pioneers and hopefully to attain success in that way.

Digital Maturity Requires Harnessing Collective Intelligence

The third way (first on the list), which I see more advanced and mature organizations engaging in, is to work far smarter by combining knowledge, investment, and experience as whole together, creating a network that can learn many times faster than a single entity. The competitive issues can and are usually worked out.

Are there good examples of multi-stakeholder learning? Yes. Some of the most strategic can be found in the list of known Global Solution Networks, but others that I’ve had personal experience with are the famed Fraunhofer Society, open source software projects (many people/organizations coming together to collaborate on common goals via shared technology innovation and development, and the American Society of Association Executives (and indeed, the entire professional association space, which is becoming increasingly digitized and community-centric.)

There is also a fourth route, which many will observe seems to be the case with certain top digital firms: Hire the smartest people on the planet and turn them loose. This is certainly possible, but it’s also an unsustainable zero sum game that the vast majority of organizations simply don’t have as an option to employ (the smartest people always work for someone else, it has been observed.) Instead, we need additional options for reaching digital maturity that are generally attainable by most of us.

Thus, in the flat and hyper-competitive world of the Internet, average practice is just not sufficient to thrive, nor to survive. Organizations must find ways to learn and evolve faster, more widely, and with much more scale than in the past. Cultivating change agents has emerged as one such way to actually achieve this, but these actors need a steady stream of knowledge on emerging new practices in order to drive the organization forward. This is through scalable learning.

As Scott Brinker’s now-famous law (Martec’s Law) tells us, technology changes exponentially but organizations only change logarithmically. The good news is that it’s very much not clear if this is an inherent limitation of organizations, or that’s just that way because of how we have traditionally learned and changed in the past. From my experience in the field of mass collaboration, my view is that it’s almost certainly the latter. There we now have new and better ways to change if we choose to use them.

The reality is that if we don’t find ways to change more rapidly and effectively, the results are potentially calamitous for us as enterprises and institutions. Fortunately, we now have powerful new tools to apply when it comes to digital learning and change. I believe these approaches may be enough for most organizations for now. If it’s not however, I remain confident that we will find even more and better ways to evolve and grow. The digital future is bright, if we’re ready to learn.

Additional Reading

Using Online Community for Digital Transformation | Slideshare Storytelling Version

How Should Organizations Actually Go About Digital Transformation?

The Eight Essential Digital Strategies

Digital Transformation and the Leadership Quandary

Let the Network Do the Work

The Hardest Lesson of Digital Transformation: Designing for Loss of Control

The emerging case for open business methods | ZDNet

The Top Business Trends for the New C-Suite in 2017
(See: Digital Transformation Programs, Change Agent Initiatives, etc.)

Internet of Things Strategy: It Will Determine Your Organization’s Future

Few technology developments will ultimately have the global cultural, business, and economic impact of the Internet of Things (IoT.) While today IoT still looks like an industry largely concerning itself with factory automation, connected light bulbs, air conditioning controls and so on, the eventual objective is clear even to a casual observer: Nearly everything in the world is about to become connected and data-driven, from the most trivial object to virtually every significant item in our personal and work lives.

The implications of this shift are profound: We’re about to be able to measure and quantify just about everything that exists. While there will be the requisite debates about whether this is always a good thing, the implacable march of technology development will ensure it’s going to happen anyway. When a new enabling technology arrives and is useful, it finds its way into just about everything.

The implications alone for IoT and the healthcare, insurance, financial services, logistics, manufacturing, and energy industries — to name just the most affected — are profound: For the first time in human history, most aspects of our business will be measurable, and therefore to paraphrase the famous Peter Drucker saying, they can actually be managed in a more direct and effective way than ever before possible.

Internet of Things: The Next-Generation Customer Experience

IoT will also be critical to the next generation of customer experience, allowing us create more personalized and far more useful experiences while maintaining direct and continuous connection — and most importantly, value exchange — with our customers like never before. Customer experience is the product we must all produce in the future and IoT is how we’ll realize it. As Stuart Lombard, CEO of Ecobee, noted last week during his appearance on DisrupTV.

As the current wave of Internet of Things emerged on a scene a few years ago, I wrote an analysis on whether IoT is truly strategic to the enterprise (short version: it is.) Though the exact growth projections continue to be debated, given the inevitably vast numbers of devices and the staggering data volumes they’ll create (large enough that it’s even driven the need to push cloud capabilities back to the edge of the network), it’s now evident that IoT will be the largest new technology industry to date, far eclipsing even mobile computing.

In other words, tens of billions of connected IoT devices, many streaming rich media and other high volume data types around the clock, are already in the process of arriving today and steadily over the next few years. In the process, they will remake the digital and business landscape as they do, as they represent enormous opportunity for new disruptive new products, services, and business models. At the same time, IoT will also pose very significant infrastructure, operational, management, governance, and security challenges for most enterprises due to scale, skill shortages, build-out, and related issues. Organizations must prepare at the highest level for this and put IoT in the middle of their digital value chain as they digitally transform. The resulting IoT strategies will determine their future as a business in profound way.

It’s evident that IoT is a core part of the future of digital and is the next customer experience mandate. We will simply have to be connected to our stakeholders in this way, holding them close across myriad digital channels, providing value in a way that only real, sustained, and live connectedness and engagement can.

Deep Digital Connectedness Requires a New Mindset

To help frame up this story, I was pleased to contribute recently to a significant new IoT strategy ebook produced by SAP, along with many of my industries colleagues. The book does an excellent job teeing up the mindset and thinking required to capitalize on the historic opportunity of the Internet of Things. Thanks to Amisha Gandhi, Jim Dever, and the SAP team for inviting me to contribute. Note: My contributions start on page 7.

The Future of IoT ebook itself is free, has a nice digital customer experience of its own, and covers the following topics:

Future of IoT ebook: Insights on the Future of the Internet of Things (IoT)

1. Focus Forward on the IoT and Business
2. The “Intelligence of Things”
3. The evolution of smart devices and how business will leverage the IoT
4. The Customer Journey
5. How will the IoT affect the daily lives of consumers?
6. The Internet of Truth
7. Concrete data leads to better decisions
8. The Forward Focus of Business
9. Strategic advice on the IoT for business leaders

SAP eBook: The Future of the Internet of Things (IoT), with Dion Hinchcliffe

Other contributors were an all-star cast and include Ronald van Loon, Yves Mulkers, Maribel Lopez, Bob Egan, Christina “CK” Kerley, Bill McCabe, Ahmed Banafa, Joan Carbonell, Jim Harris, Daniel Newman, Evan Kristel, Chuck Martin, Dez Blanchfield, Isaac Sacolick, and Giulio Coraggio. Brian Solis also shared his thoughts about the ebook as well.

Additional Reading

The Essential Digital Strategies

SAP Leonardo, IoT, and Digital Transformation: The Strategic Implications

Visual: The Top Digital Shifts the Enterprise Must Take On Today

The enterprise technologies to watch in 2017 | ZDNet

Tech Trends AstroChart for The New C-Suite, Q3 2017 | Constellation Research