Business Transformation Requires Transformational Leaders

We believe existing organizational development approaches are not far-reaching or holistic enough when it comes to the scope of the issues they address. Most methods either focus on strengthening the scale/productivity dimension (often within the context of Lean models) or push the speed/creativity dimension (commonly referred to as the Agile model). However, choosing either the Lean or the Agile path does not provide the right mindset and tools to address the complexity and competitive challenges of most large organizations. Moreover, those frameworks that are ambidextrous are not operationally focused enough to enable day-to-day management and lack a link between strategy definition and organizational development. From our experience, these missing qualities are essential to making well-informed business decisions.

In this Executive Update, we look at a purpose-driven approach to innovation that large global companies can successfully apply.

From the moment a work crew from STS Construction (STS) showed up at my house until the whole project was finished almost a year later, I witnessed and participated in some of the best Scrum I have seen. Even though STS had never heard of Scrum and would not have known what the term meant, the company had come up with a way of working that was Scrum. Not only was I impressed by the tactical scrum onsite, but when I learned how STS did its project management and scheduling, I was equally impressed by its strategic scrum working habits. This Executive Update discusses the primary Scrum patterns and practices I saw in STS’s work that helped make our home remodel a success. (Not a client? For a limited time, you can download your complimentary copy here.)

Nowadays, companies are struggling to deal with a more and more sophisticated customer. Online and offline touchpoints are generally unbound, failing to create the unique and continuous journey customers expect. Companies must embrace a new approach in order to give strategic relevance and a clear purpose to the digital marketing practice. As described in this Advisor, this approach is based on seven major activities grouped into three areas, which recur iteratively to achieve progressively more accuracy and commercial success.

We are entering an era that will demand unheralded levels of creativity because companies will need to constantly innovate and reinvent themselves to succeed in their search for growth and margins. Some leading companies are rising to the occasion by launching time-limited ideation challenges for key strategic issues and then instituting a dedicated process to enrich and select winning ideas. To sup­port this initiative, senior leaders must devote a significant amount of time to ideation and be fully involved from start to finish in the ideation process. Innovation leaders must also prevent excessive “infant mortality” of radical ideas and ringfence resources to maintain a balanced R&D portfolio. 

In this Executive Update, we take a closer look at the design thinking method and delve into the actual design framework that companies are adopting to advance their ability to digitally transform. We explore the principles of inspiration, ideation, and implementation, along with the benefits of a design mindset. We also break down some myths that have plagued design thinking in the past. 

Almost every organization has some room for grassroots Agile initiatives; projects for which no mandatory process has been defined or organizational units where managers are less interested in how their teams work than in whether they deliver expected results. Launching an experiment with an Agile delivery process is therefore relatively simple. It takes a project, a team motivated to try (or demonstrate) how an Agile approach works, and a project sponsor willing either to play the role of product owner or to appoint one. Such a project does not really challenge the status quo; its results are uncertain, so even naysayers tolerate it. In this Advisor, we share some of the challenges of taking such an initiative.

In light of the changing landscape of cyberattacks, it is critical that organizations change the way they address cybersecurity. Relying only on traditional methods of blocking attacks with firewalls, antivirus software, and passwords will be a mistake. Organizations instead need to implement cybersecurity measures that are capable of handling the new breed of cyberattacks. This is where artificial intelligence (AI) comes into play. AI-based cybersecurity solutions use machine learning (ML) techniques, which are a subset of AI. In this Advisor, we explore two broad categories of ML algorithms: supervised learning and unsupervised learning.