Operations | Monitoring | ITSM | DevOps | Cloud

In our previous blog, we covered the importance of establishing a Digital first as a discipline. Once the key outcomes of the project are identified, we often stumble upon numerous challenges – the leaders should filter out the associated challenges and risks, to mitigate them and balance out the desired state benefits versus the current state benefits. This will provide better visibility for the teams involved in the transformational process.

We have seen the importance of adopting a Digital first engineering approach, the challenges faced by leaders, and the role of strategies in our previous blogs. Another factor that plays a significant role in the success of any Digital first initiative is having a proper metric system. These huge transformational processes involve a lot of time, resources, and cost - if these are not managed and measured in a timely fashion, enterprises can end up getting a hit on their bottom line.

Technical talent is in high demand. According to the Bureau of Labor Statistics, 94% of organizations reported difficulty finding qualified IT staffing.

As organizations are embracing digital transformation, it is imperative for them to invest in the right set of frameworks that make the transformation successful for the near term and durable for the long term. Every organization should weave a unique digital fabric taking into account of the sunk cost of its existing technology and new-age solutions.

In the previous blog, we outlined the critical barriers faced by leaders and probable success factors in Digital first implementation, and how an experienced technology partner & fusion team can enhance the success further. In this blog, we will provide the perspectives of having the right strategy & framework in place across people, process, product, and data for an end-to-end transformation. iOPEX point of view - Digital first

Despite all the attention cloud systems and enterprise cloud migrations receive, legacy software still plays an active role throughout enterprises. In many cases, critical business processes supported by legacy applications are just too crucial to core business functionality to risk migration.

Cognitive automation is part of the digital fabric that is predominantly weaved with technologies like AI and ML to drive automation at an enterprise-wide level that is capable of thinking like humans along with mimicking human behavior. Digital Fabric, “It is the combination of technologies enabling automation to serve dynamic business needs of organizations that seek digital transformation to enhance business outcomes.”

Digital transformation involves change, which includes change in how people think. Digital transformation today is not a one-and-done. This means businesses should increasingly be looking for people that are change ready, starting with their CIO.

Customer-first culture is a driving force for any organisation’s success in logistics. Having a customer-first mindset means constantly thinking about your customer and your customers’ customers — and all of their employees. To have a good relationship with the customers, listening and understanding them is the key.