Skip to main content

DIGITAL STRATEGY NOT A SEPARATE EXERCISE

[PLACEHOLDER]
Driving-Digital-Strategy
Driving Digital Strategy

The book "Driving Digital Strategy", by Sunil Gupta, came at the right time as I have been studying many aspects of the business transformation and the disruption that is happening across the different industries.

In this era, as a company leaders, just doing what brought you to this present, not embracing change, not renewing yourself, and important aspects of your business; is an indication that your ego, or comfort, or your fear to change, is not allowing you to move forward... and that potentially will be the "end". That "end" can come in one year, two... perhaps five years... but make no mistake, it is coming.

The introduction of this book have key notes that I found extremely relevant to my current research. One of them being the following:
  • "The leaders who achieve 'transformative' results go all-in on digital. That is they don't treat digital strategy as separate from their overall strategy. Instead they lead with a digital-first mentality and make sure their digital strategy touches ALL aspects of their organizations"
As I continued reading, I found in this book the same question that I have been placing in my internet searches, as part of the research: "Where companies go wrong with their digital strategies". The point of view of the writer is interesting as it presents around three (3) strategies:
  1. "creating an independent unit is like launching a speedboat to turn around a large ship. Often the speedboat takes off but does little to move the ship".
  2. "To run experiments". Doing experiments out of control over the organization groups causes a proliferation that causes silos, preventing synergies. Too many initiatives, going in different directions, with the same goal or intentions, causing multiple investment streams, and therefore causing issues for the organization.
  3. "Leverage technology to reduce costs and improve efficiency of operations". Improving efficiencies and minimizing cost are good strategies and technology is one of the elements to use. However is when you rely solely on this approach when the formula may or may not be flawed.
To conclude this post, I believe is true that "some" are using "band-aid" for the real problems around the organizations, and in a lot of  cases are full of cliché approaches instead of truly making digital strategy and integral part of the overall business strategy. 

I could not have said it any better, that DIGITAL STRATEGY IS NOT A SEPARATE EXERCISE, it is an essential piece and " you must embed it into the operations and DNA of your organization".

Trending posts

Steer for a talent transformation strategy (and avoiding AI fatigue)

 There was a debate on whether to feature the term “AI” in the title of this article. Honestly, a key motivation for pursuing the research that led to this post was sparked by the widespread excitement about AI appearing constantly in our LinkedIn feed, to the point of feeling the fatigue, and even a bit disappointed in the algorithm of this, and the others, social media and content curated apps.  We soon discovered that there is an entire concept called "AI fatigue", not exactly how we were feeling it, but more about the mixed emotions people in the workforce have regarding the use of AI tools. Photo by Mart Production via Pexels (background updated with AI and Adobe  tech) From micro blog posts to video podcasts, lately, most of the tech content we encounter revolves around AI. They often sound or read very similar, usually mentioning the same few top providers. The articles (and social posts... at least the popular ones with paid-campaigns behind it) tend to focus less...

Assembling MLOps practice - part 2

 Part I of this series, published in May, discussed the definition of MLOps and outlined the requirements for implementing this practice within an organisation. It also addressed some of the roles necessary within the team to support MLOps. Lego Alike data assembly - Generated with Gemini   This time, we move forward by exploring part of the technical stack that could be an option for implementing MLOps.  Before proceeding, below is a CTA to the first part of the article for reference. Assembling an MLOps Practice - Part 1 ML components are key parts of the ecosystem, supporting the solutions provided to clients. As a result, DevOps and MLOps have become part of the "secret sauce" for success... Take me there Components of your MLOps stack. The MLOps stack optimises the machine learning life-cycle by fostering collaboration across teams, delivering continuous integration and depl...

Digital Sovereignty in a Polarised World - Data, Cloud Power, and the Search for Trusted Alternatives

 Relationships have deteriorated, with trust diminished to an extent that may preclude restoration. The world, once structured to favour certain regions, has undergone significant shifts; for numerous countries, such advantages never existed. In this polarised reality, stakeholders are re-evaluating alliances, as former partners now often embody the role of "frenemy," thereby threatening freedom. This phenomenon is longstanding, rooted in historical power dynamics. When politics and influence supersede principles of fairness, respect, and integrity, ethical boundaries become blurred. Previously, issues that did not directly affect you would get overlooked out of principle, but current risks necessitate action to safeguard sovereignty. Information has consistently served as a key strategic asset, a trend only intensified by technological advancements that have elevated data as the principal factor. In other words, technology has amplified that, and data is the name of the game...

Assembling MLOps practice - part 1

In one of our previous articles it was highlighted how DevOps manages the End-to-End application cycle, leveraging agility and automation. CI/CD pipelines, collaboration and transparency, monitoring and automation are part of the list on how DevOps leverages and facilitates agility. What if then we bring those to support ML? That is how MLOps comes to the table and starts making sense! Lego Alike data assembly - Generated with Gemini A big tech corporation, or a startup, nowadays will see how it is becoming a requirement to incorporate AI and Machine learning (ML) in their operations. ML components are key parts of the ecosystem, supporting the solutions provided to clients. As a result, DevOps and MLOps have become part of the "secret sauce" for success.  What is MLOps Just to bring the definition of what you probably know (or put together based on the above) MLOps focuses on the life-cycle management of machine learning models. It combines machine learning with traditional ...

This blog uses cookies to improve your browsing experience. Simple analytics might be in place for pageviews purposes. They are harmless and never personally identify you.

Agreed