Low Data Quality no Digital Twin
The next buss word in Analytics is the digital twin in short it means that all your services/products are represented by a digital model. With which it should be possible to forecast, simulate and optimize processes and services. But next to the fact that you need highly skilled people with great modeling competences to achieve this it is essential that the data in your company is at very high quality. What you will see is that the data that is produced in a process that is build up with data points that are controlled by people in most cases is of poor quality. Most people are doing a job and that should be successful and the correct entering of data is in most cases a bottle neck.
What you can try is to enforce it by regulation and control with data quality KPI’s and for awareness this will help, but the actual increase in data quality will be minimal. What you should strive is to cut out all manual steps, that are necessary to fixate data into systems. And the business owners should have KPI’s on the percentage of steps that are switched from manual tot automated.
In my opinion with all new technologies there are far more possibilities to automate data fixation steps.