Unlocking The Full Potential of Enterprise Data
The overall concept was inspired by the OAIS Archival Framework described earlier . The vision was to implement the SAE solution globally and configure the RSD GLASS platform with governance policies capable of accommodating varying legal and regulatory requirements across different jurisdictions .
The initial implementation prioritized safety records for new vehicles , beginning with brake records , encompassing the supply chain , design , inventory , and more .
The SAE project did not incorporate technologies unavailable at the time nor did it focus on managing the value of enterprise data assets . However , many principles and concepts discussed in this article were integral to the solution ’ s vision and implementation .
5 PUTTING IT TOGETHER
This article discussed two interrelated topics : the value of Enterprise Data Assets and the need to manage their lifecycle . Keeping data assets in silos and obsolete systems that are scattered across the IT and OT infrastructures presents significant technical , organizational , and logistical challenges , which are exacerbated by the “ illusion ” that storage is cheap .
Enterprise data ( IT and OT ) is a critical resource in digital enterprises . Hence , the question of how to leverage the value of this data and manage its lifecycle as an asset has executive level visibility . CIOs and CISOs should collaborate with their business , operations , legal and compliance counterparts to achieve this .
On the other hand , the expectations of the legal and regulatory authorities regarding compliance are growing and they expect organizations to make “ reasonable efforts ” in this area . The term “ reasonable efforts ” is a technology agnostic term that is a moving target evolving with the growing maturity of data lifecycle management practices in organizations .
Enterprises will struggle to harness their data assets ' value strategically if they do not incorporate the concepts of data value and uniform data lifecycle management into their enterprise data management strategies . In addition , enterprises need to regularly re-evaluate the value of their data to understand which data need to be refreshed and upkeep – just like any valuable assets which require regular maintenance and upkeep . The exponential growth of data volumes in digital enterprises makes this issue urgent and time critical .
The article proposes that enterprises in industry take the following steps 43 :
• Assess the current state of enterprise data assets , including their data categories , and whether they have value and a lifecycle beyond the transactional phase ( refer to section 3.2 ), and much more .
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The author intends to publish additional articles exploring practical methods and systems to address the issues mentioned above .
Journal of Innovation 51