Data Analytics is a diverse field with wide ranging topics from visualizations and trending, to predictive analytics and artificial intelligence. The power from data analytics comes from finding the right analytics solution to solve the problem you have. For Life Science manufacturing such examples may include a desire to improve investigation time, reduce work, deliver cost and time savings or enable real-time response and decision making.
All of which in turn helps to improve new product introduction times to market. However, to achieve objectives, data needs serious consideration from the design phase of a project – through build to commissioning and qualification. In some organisation this requires a mindset change with the longer-term goal of having a data strategy prioritised at the forefront of the project.
Data analytics best practice can help with time compression pressures, and reduce the 60-80% of time data analytics specialists spend searching for the data they need to make intelligence decisions on the shopfloor.
If done correctly implementing Data Analytics strategies can:
- Enable real time data analysis
- Reduce manual analysis
- Aid faster root-cause analysis and NCs
- Increase speed and decision making
- Improve investigation time
- Reduce workload
- Deliver cost & time savings
The critical foundation for the success of any data analytics program starts with the data being collected. Here at Zenith we help Life Science companies at all stages of their data analytics journey build strategies to make data more accessible and useable. With a philosophy of “design for data”, we can support clients not only with implementation and qualification analytics applications but also with any updates needed in the source systems to successfully implement these programs.