While “It’s all about people” is a cliché we hear regularly, most leaders are approaching digital transformations as though they are technology initiatives. Sure, they are technology enabled, but unless the human dimension within is properly understood these initiatives will not succeed. But when transformations become talent driven, they almost always guarantee success.
Unlike technology implementations which follow a waterfall, agile or another methodology, transformation initiatives go through 4 major stages in a particular sequence. Each full cycle sets up the next iteration of transformation.
Stage 1: Leadership and Decision Making - This is where leaders establish vision, priorities and concepts.
Stage 2: In this stage, teams begin the innovation of business models, products or services and business processes.
Stage 3: Here business and IT teams (ideally) collaborate in bringing innovations (new products, services and processes) to life. This is where experiences are also reinvented.
Stage 4: Teams finally rollout transformed products, services, models and process, and begin to measure the results. Results may be both good and bad.
The more data-driven the approach, the more objective evaluations and decisions tend to be and therefore a higher the probability of success.
As transformation cycles evolve from one stage to another, involvement expands to a broader set of employees across the organization. Through each stage, the emotions, commitment and effectiveness of all those involved changes.
As new initiatives launch, there is a mix of fear, anxiety and excitement. When companies communicate effectively and adequately invest in training, employee emotions shift dramatically from fear to confidence and finally to expertise. Along the way comes an inherent vesting in the new business models or processes and a determination to improve things.
As a cycle transitions into a second round, you have employees who are well trained, understand expectations and do not fear technology anymore. They are now deeply committed and want to ensure success of the cycle as opposed to being asked to do their best. With each transformation cycle, teams experience increasing levels of success and along with it comes a positive attitude, stronger commitment and higher effectiveness.
Trasers conducted the 2019 Ab-Initio Survey which received responses from over 9,200 executives from 5,000+ companies in 16 industries around the world. Our questions ranged from drivers of digital transformations to vision, strategy, implementation and change management.
Trasers research on the human dimension showed that companies with high levels of success made the highest level of training investments.
This was also corroborated separately. In a regression analysis of 10+ factors involved in digital transformations ranging from vision, strategy, technology implementation, etc. the factor that emerged as the #1 determinant of transformation success was ‘role-based training for employees.
CHROs must influence CEOs and all leaders in companies to fundamentally understand that digital transformations are powered by employees, not just technology. HR Leaders who focus on the ‘human’ dimension of ‘human resources’ by ensuring role-based training in every initiative will influence the success of digital transformations across the company.
Data and fact-based insights on talent, culture and human capital transformations by industry are now available at your fingertips.
Contact Us Today
Finding Hidden Patterns and Correlations Innovative technologies such as artificial intelligence (AI), machine learning (ML) and natural language processing (NLP) are transforming the way we approach data analytics. AI, ML and NLP are categorized under the umbrella term of “cognitive analytics,” which is an approach that leverages human-like computer intelligence to identify hidden patterns and correlations in data.Explore
Application Modernization at Speed and Scale Enterprises are pursuing greater application scalability, cost efficiency, and standardization with containerization and virtualization platforms. So, what’s the difference? Containers are a type of virtualization technology that allows users to run multiple operating systems inside a single instance of an OS. They are lightweight and portable, making them ideal for running applications across different platforms.Explore
Container Orchestration or Compute Service? Amazon Web Services (AWS) offers a range of cloud computing services to meet enterprise needs. Included in its service offering is the elastic compute service (ECS) and elastic compute cloud (EC2). Choosing between these two services can be difficult, as one focuses on virtualization while the other manages containerization. In the following article, we will explore the differences between Amazon ECS and EC2 to help you better understand which service is right for your use case.Explore
What is Application Modernization? Application modernization is the process of converting, rewriting, or porting legacy software packages to operate more efficiently with a modern infrastructure. This can involve migrating to the cloud, creating apps with a serverless architecture, containerizing services, or overhauling data pipelines using a modern DevOps model.Explore
Comply Without Compromise On-premises infrastructure is being traded in favor of the public cloud computing model. While on-premises is still preferable in certain contexts, most businesses will benefit immensely when adopting the cloud. However, this move to the cloud does introduce new problems.Explore