With Digital Twin you can prioritize your initiatives by profitability and develop feasible delivery plans based on sharp and always up-to-date data.
Digital Twin matches data from different areas to provide a full understanding of an Organisation, it’s a part, or a Product, incl. interdependencies between functions, processes, exchanged data, and shared resources, reflecting constant changes in current and projected future states due to conducted initiatives and all other factors. DOT deliver data in a format tailored to different roles in organizations to meet their specific needs.
Non-delivered
IT initiatives
Delayed or
overbudgeted IT initiatives
Setting up Knowledge Governance by introducing easy to follow framework SHS Digital Organisational Twin services can help you to restore heavily delayed projects, deliver the cohesive model of the current state consisting of all layers of your Product, Platform, Core Application Ecosystem, LOB, Department, or even full Organization, from business capabilities and functions through applications, data, processes, and technology layers, model the future state and prepare a detailed and de-risked delivery plan.
Instead of on-time and non-analyzable static documentaries, as its usually done, we deliver living, analyzable and traversable models with analytical functions and pre-configured tailored to the project reports like impact analysis, what-if scenarios, and all other sorts of cross-cutting analysis reflecting atomic data points and their dependencies, utilization, and capability maturity as well as conclusions and recommendations on delivery.
You don’t need to run a separate project of maturing knowledge management, just start with SHS Digital Twin in one project and re-use throughout the full portfolio.
By re-using and conducting additional modeling for the purposes of the new initiative your model will grow and serve more and more initiatives and stakeholders across the organization.
The model governance is served by SoftHouse on an ongoing basis to keep it up-to-date and reliable.