19APRIL 2025APACdifferent part of organizations would have different speeds at adapting. Its also essential to consider this in the tool selection.. Selecting tools that are built for Self Service AI/BI, that are open for rapidly developing space of AI and can change is a must. Last aspect is probably as big and as important and most difficult as the challenge of people, skill sets and mind set i.e. of Data. Technology partners might trivialize this with promise of data lake's, data mesh, data fabric , streaming analytics, bigdata etc. but transformational gain is much more cultural change than anything else. Let me give an example ­ if as a company we wrote our quality specs in word/excel documents with tables of data ­ a true BI system can not process the same. (Unless we do a hard work to digitize this unstructured data). Each department in the company need to figure out what's the most valuable data asset for them and focus on getting that digitized ­ change processes, tools, mind set etc. Key thing is to also have a proper governance setup for collecting, storing, consuming, purging, archiving, securing data. As this is a massive enterprise, best would be to establish most valued data assets and start journey from there. If data is to be an asset, it needs to be treated as one. Final part of the puzzle is organizing ourselves for success. I believe that each department must invest in an analytics team to catalyze the journey and to find out most valuable data, building governance together with core set of talent in IT. Our strategic programs like that of margin improvement, cost reduction, revenue growth, factory OEE/ Yield etc must have embedded data analysis teams to unearth hidden avenues. Unlike other industries, semiconductor has always been known for its business complexity. We are hence, never early adapters of technology hype cycles. Our leadership don't give into euphoria, rather focus on something that we can achieve now. I believe the moment for data has arrived. Its time to take this seriously and unlock its potential. Bon voyage for this journey!!! I believe the moment for data has arrived. Its time to take data seriously and unlock its true potential
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