Digital Strategy, Operating Models & Technology Implementation Insight
Boost business success via insights on emerging trends in digital transformation and IT strategy; practical frameworks you can apply; and guidance from the world’s experts in leadership, IaaS, investment prioritization, operational excellence, sustainable innovation, change management, enterprise agility, and applying emerging technologies.
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.
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.
Finding the right approach for effective serial breakthrough innovation has become the holy grail for today’s companies. However, our survey shows that there is still a long way to go before companies’ efforts match their aspirations. Although nearly 90% of companies recognized the importance of defining specific strategic objectives for breakthrough innovation, only about half of them currently do so. Those that do define specific breakthrough objectives and goals are, on average, nearly four times more satisfied with the results than those that do not, and the more explicit the goals are, the higher the success rate. While there is no single formula for success, it is clear that there are some important key factors. In this Advisor, we share some of those key factors as well as four organizational models that have proven effective in different situations.
If your “analog” company is struggling (like many are) to become digitally-mature enough to compete with “digitally-native” rivals, consider whether your company has been able to overcome these two issues: Can you meet the speed and scale of your new challengers? Do you have the capability to transform legacy business models and operations, digitizing their value chains as much as possible?
Change often creates challenges. Inherent in many challenges are one or more opportunities. Resolving challenges associated with implementing decision automation and sensors can help identify opportunities for digital transformation and operations renewal. As we explore in this Advisor, managers must assess what is needed, what is cost-effective, and what is most useful with new decision automation technologies.
In this on-demand webinar with Cutter Consortium Senior Consultant Dr. Patrick Haibach, you’ll find out how RPA is augmenting the workforce in a variety of companies. You’ll learn the ways organizations are using the bot-technology. And you’ll discover what the next era of automation will look like.