Desktop (Thick Client) Tools

Now that it’s 2016, do you think your company needs a database for your datalogs, or do you prefer staying with Excel or other Desk Top tools?

Desktop software provides fast analysis and charting of a datalog, there is little doubt about that. However, for companies serious about data analysis for volume production, such as for STDF and WAT (PCM) data, it is worthwhile to consider moving to a database solution.

Desktop tools such as Excel have the following downsides:

  • they limit simultaneous access to data
  • are prone to human error and 
  • are not designed for the analysis of high volume data.

Do you think you company is ready for a change?

Consider next the following questions:

  • Do you need to store data for the long term and make it available for analysis?
  • Do you need to compare new data against reference data which could be from a few months back? And could you quickly find the reference data even when you’re on the road?
  • Does more than one person need to analyse your data?
  • Do you want to be able to quickly analyse the root cause of a customer return?
  • Do you want to be able to cleanse data?
  • Do you want to be able to analyse many datalogs at the same time?
  • Do you want to be able to quickly correlate from final test or wafer sort back to fab WAT parameters for any datalogs you choose?
If you answer “Yes” to any of the above, you may be ready to move to a database solution.

YH Fabless

If you do decide to change to a relational database?

 yieldHUB is an example of an affordable Relational Database solution for all your production datalogs. In addition to being a database:

  • yieldHUB is “thin client”, which means you don’t even download any data locally to analyse it. You just need to select the data and click on the type of analysis you need
  • Data management is taken care of: The data is routed from the subcons to a cloud server which you can host or we (MFG Vision) can host
  • If operators make a mistake (e.g lotid entered wrongly), the mistake  can be rectified in the database by your engineers and that data is fixed for any future analysis
  • Automated scripts take care of rescreen in probe and final test
  • You will have all the tools you need for all your data analysis and yield improvement needs
  • You can set-up and receive fully automated regular reports and alerts on all your products’ production performance
  • Your engineers will be able to collaborate on-line, even with your subcons, on the yieldHUB platform to fix yield issues.
If this sounds interesting, and you are serious about providing the right platform long term yield improvement, why not contact us. You may be surprised how quickly you will be able to see a free live demo of your own data in a fast and fully relational database.