With the majority of ERP systems lacking uniform asset identitication, and Excel based data presenting a hurdle to effective and real time analysis, matching, planning and forecasting of equipment supply and demand becomes more complicated than ever. By the introduction of Digital Twins we are now able to aggregate accurate data in real-time coming from multiple domains (Financial, Technical, Operational (incl. Supply Chain) and Environmental) in a single uniform format which is controlled as it is collected.
By employing digital twins, you can:
- Monitor, measure, forecast and manage environmental (carbon emissions), operational and financial key performance indicators of the company.
- Categorize Asset data to visualize and contextualize in financial, technical or environmental dimensions
- Compartmentalize activities in logical operational segments: based on core Life-Cycle phases: Demand Planning – Upgrade & Rollout – On-site Asset Data Collection – Maintenance and Fault management + End of Life re-use and Recycling
- Create hypotheses, forecast and simulate financial and (in some case versus) environmental scenarios.
- Communicate results to non-technical or non-analytical peers through easy to understand and uniform dashboards and reports
- Allow statistical analysis tools and models that execute calculations on a rich model with multiple attributes makes it easier to predict failure, flow and feasibility.
- With uniform identifiers paired with dynamic ‘twin’ technical and operational profile data, telecom network operators to make intelligent demand forecasts and timely decisions on optimal use. The outcome is measurable Scope 1,2 and 3 emissions reduction and financial efficiency.