Solution Development Acceleration & Quality Platform (SDAQP)
Why?
Digital Solutions are getting more complex, because the number of different technologies and products that need to exchange data is growing. For the implementation of a Digital Twin for example it is not exception to have 20ish different software products from many different vendors involved to implement a business use case leveraging Digital Twins. The complexity has an negative impact on the speed a digital solution gets implemented, but also on the quality as people make more mistakes in complex environments
What?
Through our one-day, virtual SDLC Master Class we create awareness across all levels in your organization how digital technologies and products can help improve the Solution Development Life Cycle.
The SDLC Assessment looks at your current solution development process compared to existing and emerging tools and approaches that help you to accelerate the solution development life cycle, while at the same time improving the quality of digital solutions.
A SDLC Strategy describes your vision of your SDLC and uses a SDLC Maturity Model to plan a roadmap from where you are to where you want to go. It also covers topics like changes to your current operating model, tool landscape and solution development approaches.
The SDAQP Architecture describes the execution of your SDLC Strategy and is therefore often created in a project covering both, strategy and architecture. The architecture describes the how the tool and methods landscape for your solution development will look in the future and adds components to the SDLC Strategy Roadmap.
During the SDAQP Implementation, we support our clients with technology agnostic capabilities like project management, business analysis, solution architecture and solution/product QA.
How?
- Our advisory work is outcome based, meaning you get a fixed price for a set of specified deliverables. This helps you manage your budget better.
- We use standards and industry best practices to shape our work. This ensures interoperability as well as the availability of enough skilled resources for implementation.
- We also use reference frameworks, architectures and models to maximize re-use of existing open-source IP, accelerating development for project deliverables.
- In all our engagement we use GenAI and AI Agents to augment our consultants. This improves the productivity but also provides more relevant insights and functions as a QA mechanism.
- From a way of working perspective, we prefer a Design Thinking approach and Agile/Scrum for project delivery.