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Strategy transform the data and for what purpose. The appointment of data stewards to oversee data quality and integrity has proved a successful move in confidence-building.
Automation has a significant role to play, providing reassurance about the maintenance of data integrity and security. Current applications streamline validation and preparation in conformity with standards for accuracy and completeness, and provide the transparency required.
Advances in AI also mean auditing and monitoring of shared data is comprehensive and detailed. This provides transparency about the use of data and detects any intrusions or departures from agreed protocols quickly. Predictive capabilities spot the signs that a breach is possible and enable fast preventive action. Further security enhancements come from the encryption of data at rest and the use of privileged access controls and multi-factor authentication.
The right technology partner
Convincing supply chain partners to share their data is also a matter of confidence in the technology provider and its platform. Everyone should be persuaded to conduct due diligence to ensure their provider has the track record and the capabilities required, especially in the key area of data governance.
A platform should simplify data management and overcome the common problem of siloed data, preferably by using a more innovative approach such as the smart data fabric that unifies data for use without moving it or requiring removal and replacement of in-situ systems. This is a major advantage for all businesses, taking up less of their time in implementation and maintenance.
Leadership in collaboration is vitally important too, to establish consensus among all third parties and suppliers about data governance standards and security, and their enforcement. With third-party
suppliers, achieving the right SLAs will provide guarantees around all these matters. Nondisclosure agreements are also important for confidence-building, helping convince waverers in the supply chain that the data they share will only be used for the intended purpose. Organizations should extend this approach and actively seek to build a data sharing culture based on trust, ethical standards, and the inclusion of all relevant partners.
While many concerns overlap, they can be addressed to create a compelling value proposition for the power of data sharing, which delivers significant and sustained improvements in performance, responsiveness, and profitability. Trust is not built overnight, but once established, it brings immense gains.
In a world where data sharing is the norm, supply chains become more agile, automated, and customer-centric, ultimately reducing costs and enhancing sustainability. â–
Enzo Brienza www. intersystems. com
Enzo Brienza is Partnership Manager at InterSystems UKI. As a transformational business leader, Enzo has a proven track record of delivering complex information technology solutions to blue-chip customers. Enzo develops strategic partnerships with InterSystems’ clients, fostering increased revenue and driving market growth through digital transformation.
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