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We start by defining and understanding the pain points and issues that are identifiable from the perspective of every stakeholder involved which in turn enables us to have aligned objectives
We conduct extensive parametric documentation of existing processes and technical systems involved to identify the causality of the issues and find areas that are the most problematic
We parallelly work with each stakeholder and redesign the existing systems to become automated resulting in increased efficiency and accuracy in every objective metric using an array of digital tools
Once the system is deployed and integrated into operations, we set up multiple data pipes that constantly capture essential data-points which enable the early identification of anomalies using data science and also fosters data-driven decision making
We objectively re-evaluate the new systems that have been integrated and compare them with equivalent metrics of the older systems to confirm that the outcomes are satisfactory and beneficial to all the stakeholders and identify any new space for improvement