Welcome!

Linux Containers Authors: Elizabeth White, Pat Romanski, Yeshim Deniz, Stefana Muller, Zakia Bouachraoui

Related Topics: Microservices Expo, Java IoT, Microsoft Cloud, Linux Containers, Agile Computing

Microservices Expo: Article

Six Stepping Stones to Digital Maturity

What is digital maturity anyway?

This post is sponsored by The Business Value Exchange and HP Enterprise Services

We talk a lot about digital transformation, the drive to bring legacy systems into new and more contemporary usage channels and the need to push mobile, cloud, social and more to the fore today.

Industry buzz-phrases and marketing-speak are easy to paste around in this area and too much has already been written that simply seeks to:

  1. Restate the obvious
  2. Pay lip service to some pre-loaded consultancy service that lays in wait
  3. Coin some newly spun term to try and gain ownership of this space

Okay we will stop the naysaying there; suffice it to say that there is too much padding around this topic and a dearth of direct discussion.

What firms need to see is action.

If we look at what Capgemini has done by pulling all its most vital digital assets and technology competences under the umbrella positioning of a new so-called ‘Digital Customer Experience' service line, then perhaps we can appreciate how major the task is if it is to be done right.

As a major consulting player, Capgemini reminds us that what it calls "digitally mature" companies have significantly better business performance.

At the same time, companies often encounter difficulties with leveraging digital technologies to better serve their customers' expectations.

What is digital maturity anyway?

Industry blogger Mike Dolan came up with a nice six-point stepping stone plan to describe what digital maturity might actually mean.

As you can see from the cute graphic, the six stepping-stones are actions a company takes to:

  1. Initiate - the architectural and infrastructural basics to start bringing in new digital layers including everything from a CMS to a more sophisticated web presence to electronic fulfilment and ordering systems, etc.
  2. Radiate - is obviously the point at which digitization starts to spread out across the business and show itself across a number of multi-layered digital channels
  3. Optimize - optimization comes hand in hand with personalization and the point at which we start to tune the digital installations more accurately to individuals and the workflows they find themselves within
  4. Nurture - nurturing is fine tuning, but it is also the point at which firms start to work out the best fit available and achievable for the digital solutions in hand
  5. Engage - engagement could very arguably have been earlier than number five in our list as the need to garner buy-in and community involvement at all levels if the new digital is to be a profitable success
  6. Predict - this is the point where digital business starts to sing in harmony, i.e., the digitization program starts to bear fruits at all levels and also offers data that can be fed into an appropriate analytics engine to further predict what digital updates are needed next.

If we follow Dolan's template, can we ensure a profitable path to digital maturity? It's not likely to be quite that cut and dried, but there is structure worth following here.

More Stories By Adrian Bridgwater

Adrian Bridgwater is a freelance journalist and corporate content creation specialist focusing on cross platform software application development as well as all related aspects software engineering, project management and technology as a whole.

Comments (0)

Share your thoughts on this story.

Add your comment
You must be signed in to add a comment. Sign-in | Register

In accordance with our Comment Policy, we encourage comments that are on topic, relevant and to-the-point. We will remove comments that include profanity, personal attacks, racial slurs, threats of violence, or other inappropriate material that violates our Terms and Conditions, and will block users who make repeated violations. We ask all readers to expect diversity of opinion and to treat one another with dignity and respect.


IoT & Smart Cities Stories
The deluge of IoT sensor data collected from connected devices and the powerful AI required to make that data actionable are giving rise to a hybrid ecosystem in which cloud, on-prem and edge processes become interweaved. Attendees will learn how emerging composable infrastructure solutions deliver the adaptive architecture needed to manage this new data reality. Machine learning algorithms can better anticipate data storms and automate resources to support surges, including fully scalable GPU-c...
Machine learning has taken residence at our cities' cores and now we can finally have "smart cities." Cities are a collection of buildings made to provide the structure and safety necessary for people to function, create and survive. Buildings are a pool of ever-changing performance data from large automated systems such as heating and cooling to the people that live and work within them. Through machine learning, buildings can optimize performance, reduce costs, and improve occupant comfort by ...
The explosion of new web/cloud/IoT-based applications and the data they generate are transforming our world right before our eyes. In this rush to adopt these new technologies, organizations are often ignoring fundamental questions concerning who owns the data and failing to ask for permission to conduct invasive surveillance of their customers. Organizations that are not transparent about how their systems gather data telemetry without offering shared data ownership risk product rejection, regu...
René Bostic is the Technical VP of the IBM Cloud Unit in North America. Enjoying her career with IBM during the modern millennial technological era, she is an expert in cloud computing, DevOps and emerging cloud technologies such as Blockchain. Her strengths and core competencies include a proven record of accomplishments in consensus building at all levels to assess, plan, and implement enterprise and cloud computing solutions. René is a member of the Society of Women Engineers (SWE) and a m...
Poor data quality and analytics drive down business value. In fact, Gartner estimated that the average financial impact of poor data quality on organizations is $9.7 million per year. But bad data is much more than a cost center. By eroding trust in information, analytics and the business decisions based on these, it is a serious impediment to digital transformation.
Digital Transformation: Preparing Cloud & IoT Security for the Age of Artificial Intelligence. As automation and artificial intelligence (AI) power solution development and delivery, many businesses need to build backend cloud capabilities. Well-poised organizations, marketing smart devices with AI and BlockChain capabilities prepare to refine compliance and regulatory capabilities in 2018. Volumes of health, financial, technical and privacy data, along with tightening compliance requirements by...
Predicting the future has never been more challenging - not because of the lack of data but because of the flood of ungoverned and risk laden information. Microsoft states that 2.5 exabytes of data are created every day. Expectations and reliance on data are being pushed to the limits, as demands around hybrid options continue to grow.
Digital Transformation and Disruption, Amazon Style - What You Can Learn. Chris Kocher is a co-founder of Grey Heron, a management and strategic marketing consulting firm. He has 25+ years in both strategic and hands-on operating experience helping executives and investors build revenues and shareholder value. He has consulted with over 130 companies on innovating with new business models, product strategies and monetization. Chris has held management positions at HP and Symantec in addition to ...
Enterprises have taken advantage of IoT to achieve important revenue and cost advantages. What is less apparent is how incumbent enterprises operating at scale have, following success with IoT, built analytic, operations management and software development capabilities - ranging from autonomous vehicles to manageable robotics installations. They have embraced these capabilities as if they were Silicon Valley startups.
As IoT continues to increase momentum, so does the associated risk. Secure Device Lifecycle Management (DLM) is ranked as one of the most important technology areas of IoT. Driving this trend is the realization that secure support for IoT devices provides companies the ability to deliver high-quality, reliable, secure offerings faster, create new revenue streams, and reduce support costs, all while building a competitive advantage in their markets. In this session, we will use customer use cases...