I watched many videos and demos related to Microsoft Bing during the last few weeks. Actually, I liked the idea of a “decision engine” behind a search. So, after experimenting with different types of searches, I finally came to the conclusion that the concept of Decision Management is very close to the discussions on Business Intelligence that we had before. If you haven’t had the chance to read them, here are a few of the previous PLMtwine previous posts.
So, here is my idea – Business Intelligence for PLM. Enterprise PLM databases are absorbing a large amount of information about how products are designed, manufactured, built, used and disposed. PLM databases can be integrated with many other sources of information systems such as ERP, Supply Chain, and Manufacturing Execution. Having all this information already in a Product Lifecycle Management system can be a good foundation for Business Intelligence systems. Today, BI can be implemented using various database technologies. If you are running on a SQL Server, you have a full stack of MS BI services. If you are on Oracle, you can use Oracle BI. If you are on IBM, you can use IBM BI. There are also other, more specialized vendors.
So the question is – where is Bing? Here is my point. Bing is a decision user-oriented experience that lets you get this data. In the same way Bing presents you with travel price trends, Bing can let you get your PLM Business Intelligence data and provide it to your end users…
So, to review the main points:
- Enterprise PLM Database is integrating Product IP information
- You can get Business Intelligence by indexing PLM data and extracting specific KPI and data characteristics
- Access PLM BI data with Bing-like user experience
Wait a minute… Where is Bong? You need to get all product information under PLM roof. A lot of data is available, but PLM systems still provide very fragmented outlook on product information.
So, what is your opinion?