The example below from healthcare shows how attention to detail will make a big difference in effectiveness, efficiency and service satisfaction.
A reminder that before tackling predictive analytics, AI, cognitive computing etc faster improvements will be gained paying attention to the "Little Data" at the point of delivery.
Non-value added time- wasted time waiting for the relevant information, metrics, insights - results in additional $750k to $1mill per nursing unit in the USA.
See the same point made in delivering better service at lower cost to insurance claimants . Fractured convergence at the point of delivery results in similar costs and delays there. And in other fields.
For example, emergency services is a system of care that depends on the convergence of basics such as nurse triage, lab and imaging results, transport, tongue depressors, working blood pressure machines, computers, physician assessments, and medications. How well these basics converge at the point of care drives the departmental metrics for productivity, cost, quality and patient satisfaction. One or two micro fractures, such as a delayed reading of images or an offline computer, can diminish the quality of care on that day, even though lab, supply and nursing services have been precise with their provision of the essential basics.