In order to successfully implement data-driven projects, it is important to keep all aspects in mind– from the business case through to the technical operations. Through that, all steps from the theoretical concept up to the functional digital product are intertwined.
The Digital Mindset
Successful digitization starts with a specific project. It starts with the management having the right attitude and digital mindset. Businesses have to think about the ways in which data, algorithms and new technologies will matter for their business in the future. This opens up new ideas and working methods.
1. Data Thinking – Digital Vision & Idea Finding
In the first phase, it is about finding ideas, questioning existing situations and looking at all aspects of a data issue from many different perspectives. Let your specialist department meet with data science experts. Strategies, goals and success criteria should be defined jointly in interdisciplinary teams that identify application scenarios for a first beacon project. In this stage, the initial concept for a Minimum Viable Product (MVP) is being born.
2. Data Solution – Design of Minimum Viable Products
In contrast to a Proof of Concept, an MVP is planned as a fully functional, scalable product from the very beginning. In this phase, software and hardware frameworks are set up. For the Rapid Prototyping – the instantaneous scalability “at the push of a button” – is directly planned to an indefinitely extendable infrastructure, like AWS is providing it.
3. Data Enterprise – DevOps: Continuous Development & Operation
In this phase, it is now time to finalize the product and transfer it to production. In the spirit of modern DevOps methods, product development and operative business are intertwined.
The transition is floating, continuous and never fully complete. Digital products are developed in a continuous, agile manner. Here, again, it is pivotal to base the work on a flexible, scalable infrastructure that can be extended based on demand and load.
Mindset, empowerment and technology are the defining factors for successful digitization
This requires a strong (managed service) partner who understands the entire data lifecycle, who unites economical know-how and technical competence and, at the same time, is capable of setting up the infrastructure and operating it safely. One that is enabling and accompanying you the entire way, from the idea to the technical concept to the continuous operation of the high-performing, scalable, and secure product.
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