Unlocking The Full Potential of Enterprise Data
• Develop a data strategy ( or update the current one ) to cater for the notion of value of enterprise data assets and their lifecycle as described in Chapters 2 and 3 .
• Develop lifecycle management policies that cater for the legal / regulatory ( across jurisdictions ) and data value considerations and the different lifecycle tracks .
• Develop and implement methods and systems that can enforce these lifecycle policies on enterprise data assets in a legally defensible manner .
• Align the defined systems to enterprise application life cycle management to ensure new deployments integrate by default to these processes .
• Apply these methods in a systematic way with an audit trail .
What is new here is that these steps must be applied to OT data and not only IT data . Unfortunately , most organizations in industry are significantly behind their business counterparts in this regard . In all fairness to them , over the past decade , these organizations have been digitally transforming their OT infrastructure and implementing a completely new generation of solutions based on IoT , digital twins , and AI . Going forward these organizations must deal with their data asset considerations . It is highly unlikely that the legal , compliance and insurance communities will exempt enterprises in industry from their responsibilities towards their industry data , especially when one considers the safety risks .
The time to act is now . ACKNOWLEDGEMENTS
The views expressed in the OMG Journal of Innovation are the author ’ s views and do not necessarily represent the views of their respective employers nor those of the Object Management Group ® ( OMG ®).
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52 February 2025