Businesses must focus on those activities that they can transform into digital business models. Not every industrial activity can become a digital business, but it will be impossible to succeed in digital transformation by developing a digital business and an industrial business and then operating them side by side indefinitely. GE sold 40% of its business activities because it felt that it could not transform them into digital businesses. For those industrial activities that can become digital businesses, executives need to be aware that:
Every industrial worker has to develop digital DNA. Industrial workers and mechanical engineers have to be comfortable interacting with digital systems. At GE, mechanical engineers have to design a locomotive in such a way that they can place a local data center inside it. Every industrial worker will have to have analytics skills, whether that’s the ability to create sensible and reliable data sets or to analyze and interpret these data sets.
Digital technologies have shifted control into the hands of your customers. Your customers are now independent, active agents in everything, from selecting the channels and platforms they prefer, to the very definition of your brands. As CIO, you’re in an enviable position and are more essential to your firm’s success than ever. You have the technology know-how to tap into these digital technologies. And together with your CMO, you can lead your firm to become customer obsessed and create the digital experiences that win, serve, and retain customers. But you have to be willing to change the way you work.
CIOs of customer obsessed firms must embrace an accelerated pace of change and reinvention, for themselves and their organizations. But years of radical IT outsourcing have denuded many technology management organizations. In fact, Forrester's Q1 2015 Digital Experience Delivery Survey found that the top barrier to success was a lack of resources. So your first order of business as CIO? Invest heavily in new skills:
Software engineering.Software (and how well it does or doesn’t perform) underpins the brand for digital businesses, making core software development and delivery skills paramount to your firm’s future success. Agile methods, continuous-delivery techniques, and product management skills will be critical – not just in pockets, but scaled up to address all software engineering needs.
The problems of content marketing apply to you as a marketer whether you’re actually practicing “content marketing” or not.
In any enterprise, there’s a New York Times-scale amount of content getting produced.[i] And your customers are hoovering up content (from a brand or otherwise, in many channels, interchangably) and making decisions based upon it.[ii]
That means you’re in the content business. And the more customers control the purchase path, the more marketers find themselves in the content marketing business.
Which means you will be dealing with the problems content marketing creates. Two of these problems are particular to marketing teams and governance. These are best explained with analogies:
The Menu Problem – How content gets conceived and planned
The Sausage Problem – How content gets made and delivered
The Menu Problem
Marketers don’t have much experience running editorial organizations. This is best reflected in the low percentage of marketers who report that they follow a content marketing strategy.[iii]
A strategy is necessary.[iv] And no one is taking the responsibility to make one.
I needed to order a tool from Amazon.com recently, and I was greeted with a “New Year, New You” panel linking me to whole host of exercise equipment targeted to my lifestyle. Same old New Year’s resolution song-n-dance, right? Well, the idea of self-improvement in 2013 got me thinking: We keep telling the SVM world that they need to stay relevant in a Business Technology world, so we’re now showcasing specific self-improvement tools to help you feel empowered stepping into 2013. In our recent “SVM Activities, Roles, And Skills Are Evolving” report, we have outlined the root rationale for SVM’s evolution and our prescription on how to move forward:
Roles are becoming more complex. As technology spending habits change, and spending ripples outward from IT to the business, classic SVM roles (e.g., sourcing; contracts; vendor management) are broadening and deepening to include skills related to strategy, governance, and business value (see top column labels).
These roles require new skill sets and certifications. In order to fill out these new roles, SVM managers should encourage staff to grow their skill set with training and certifications in emerging categories including innovation, diversity, eco-friendly/green, globalization, and strategy (see left-hand row labels). There are a host of organizations and authoring bodies that can help you demonstrate credibility in SVM emerging impact areas.
Back in August of this year, Marc Andreessen published an essay in the WSJ highlighting his thoughts on why software's eating the world. I encourage you to read it. It highlights something we firmly believe. We’ve entered the age of software, and you’re at its center. With December upon us and many of you engaged in finalizing 2012 plans and reviewing your 3 - 5 year strategies, I encourage you to look beyond tech developments like cloud, big data, and the App Internet. Focus instead on what you need to deliver good software, and keep three things I'd gladly tell you and your CIO top of mind.
Software IS your business. This age isn't just about Borders and Amazon, game developers, or online service delivery capabilities. No, look at how software's increasingly a part of everyday life. What about your TV, your car? Heck, my wife's new ovens have software embedded in the digital display that takes all the guesswork out of baking! Whatever business you're in, be it financial services, public sector, consumer products, insurance, healthcare, energy, or logistics, you name it, you can no longer simply look at software or application development as a support function. Software IS your business.
Cash-starved. Fast-paced. Understaffed. Late nights. T-shirts. Jeans.
These descriptors are just as relevant to emerging tech startups as they are to the typical enterprise IT infrastructure and operations (I&O) department. And to improve customer focus and develop new skills, I&O professionals should apply a “startup” mentality.
A few weeks ago, I had the opportunity to spend time with Locately, a four-person Boston-based startup putting a unique spin on customer insights and analytics: Location. By having consumers opt-in to Locately’s mobile application, media companies and brands can understand how their customers spend their time and where they go. Layered with other contextual information – such as purchases, time, and property identifiers (e.g. store names, train stops) – marketers and strategists can drive revenues and awareness, for example, by optimizing their marketing and advertising tactics or retail store placement.
The purpose of my visit to Locately was not to write this blog post, at least not initially. It was to give the team of five Research Associates that I manage exposure to a different type of technology organization than they usually have access to – the emerging tech startup. Throughout our discussion with Locately, it struck me that I&O organizations share a number of similarities with startups. In particular, here are two entrepreneurial characteristics that I&O professionals should embody in their own organizations:
Like many movements before it, IT is rapidly evolving to an industrial model. A process or profession becomes industrialized when it matures from an art form to a widespread, repeatable function with predictable result and accelerated by technology to achieve far higher levels of productivity. Results must be deterministic (trustworthy) and execution must be fast and nimble, two related but different qualities. Customer satisfaction need not be addressed directly because reliability and speed result in lower costs and higher satisfaction.
IT should learn from agriculture and manufacturing, which have perfected industrialization. In agriculture, productivity is orders of magnitude better. Genetic engineering made crops resistant to pests and environmental extremes such as droughts while simultaneously improving consistency. The industrialized evolution of farming means we can feed an expanding population with fewer farmers. It has benefits in nearly every facet of agricultural production.
Manufacturing process improvements like the assembly line and just-in-time manufacturing combined with automation and statistical quality control to ensure that we can make products faster and more consistently, at a lower cost. Most of the products we use could not exist without an industrialized model.