The two most crucial components in any organisation’s journey to becoming digitally transformed are data and analytics.
So says Andreas Bartsch, head of service delivery at PBT Group, adding that it comes down to being able to leverage information as a critical asset that delivers business value.
According to him, the pandemic has shone the spotlight on the importance of embracing a digital way of thinking, particularly given the normalisation of the distributed work environment.
And it is not just about the tools required to keep employees productive regardless of their physical location – decision-makers must reassess how they view their organisation in this new world, he says.
Data first
Creating data-driven job functions within the business is key to becoming digitally transformed, adds Bartsch.
“This means organisations can no longer rely only on traditional roles and responsibilities but must understand the importance of using a skilled digital transformation team capable of defining the digital structure and processes of the business on its journey ahead."
"This function links the cloud, the data, and the business structure in a way that enhances operational procedures."
Andreas Bartsch, PBT Group.
He says a data-driven organisation needs data specialists to architect, design and model a data platform for a more agile environment, and people that know how to capitalise on the high-performance computing capabilities delivered via the cloud.
It’s all about finding the best skills capable of optimising the data platform of a business, Bartsch adds. Regardless of whether the role is a cloud administrator or engineer, architect or analyst, it needs to be technology agnostic.
“It is easy to get lost in the details of the cloud and the related technologies. However, it is critical to remain in tune with the data needs of the business and how to extract the required value to deliver insights needed for growth in this radically different world.”
A specialist view
He says data specialists must have a good understanding of the different solutions and services in the market, as well as both on- and off-premises environments, which is key to optimising the organisation’s data platform.
“This function links the cloud, the data, and the business structure in a way that enhances operational procedures. It is about more than business intelligence or enterprise resource planning. Instead, it is having sight of artificial intelligence, machine learning, establishing data lakes, and understanding how to get the most benefit out of those technologies to be truly digitally transformed,” says Bartsch.
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