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Data automation continues to evolve at such a rapid pace, it is critical that asset owners create data management frameworks as it is changing the investment landscape. Asset owners can no longer wait for a quarterly report, instead they are becoming more proactive about insights they need, and want granular, immediate access to that information.
Asset owners have faced a myriad of cost pressures, whether they are around keeping pace with technological innovation, or the increased need to meet regulatory, operational and compliance requirements. Plus, the implications of digitalization, passive investing, and the acknowledgement that alternative and private assets are now mainstream, the through line in all of this is ESG. Coupled with the need to focus on net zero and build inclusive cultures, asset owners need to find efficiencies across their value chain, especially through data management.
Many asset owners are focusing on technology to find efficiencies, and the move towards digitalization will be key in 2023. Another key driver has been the shift towards the decarbonization of portfolios, and the increased focus on ESG and transition to net zero in markets around the world. In order to build sustainable business models for the long term, asset owners will need to consider leveraging their talent pools’ skills to harness new technologies.
Asset owners are at different stages of their data journeys. Those who can develop and adopt models today that will work effectively in a decade’s time, will be best positioned to take advantage of data automation in the future state. To plan for the future, we must assume that the future is already here.
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