Digital Transformation framework look like :
It will vary widely based on organization's specific challenges and demands, there are a few constants and common themes among existing case studies and published frameworks that all business and technology leaders should consider as they embark on digital transformation.Digital Transformation elements are often cited:
Culture and leadership
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Essential digital transformation roles
While emerging tech and revamped processes are crucial, having the right skills on staff is essential to any digital transformation.
Software engineers, cloud computing specialists and product managers remain key roles for companies seeking to roll out new products and services.
DevOps leaders galvanize software development by merging development with operations, enabling companies to continuously iterate software to speed delivery.
Data scientists and data architects are also in high demand, as companies seek to glean insights out of vast troves of data, and transformations lean increasingly on machine learning and artificial intelligence.
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Digital transformation tips
Here are six steps companies can follow to affect the kind of change they desire.
Align objectives with business goals
The companies that come from that have done well were all aligned to the business outcome.
Be bold when setting the scope
If they're stuck on incremental changes they may miss the big move they might have seen.
IT and business must co-create
We had to work together to change the culture of the whole company.
Embrace adaptive design
Adaptive design enables CIOs to pursue monthly or even weekly tweaks to the transformation strategy, including reallocating talent.
Massively simplify core systems
transformation-readiness calls for modernizing monolithic, silo-based ERP systems into platform-led, lightly tied components built on open source software.
Carve out fire lanes of microservices and APIs
Digital transformation is by firelaning Application Programming Interfaces (APIs) in the legacy systems to create microservices to allow the organization to share data both internally, and externally with its ecosystem.