. Moreover, Salesforce also discovered that it typically takes 35 applications to support a single customer interaction.\u00a0<\/span><\/li>\n<\/ol>\nYou must know your data. Once employees understand the importance of data sovereignty, the organization can create and maintain an inventory of the company\u2019s data. In addition to knowing what is in the data, organizations must be aware of the vendors that act on your data.<\/span>\u00a0<\/span><\/p>\n\n- Internal Policies and Governance. <\/span><\/b>Be fluent in regional data residency laws and comply with them. The company\u2019s governance team must understand what is in the data, its structure, and what vendors it uses to process it. To protect the company from data sovereignty challenges, you must have systems to manage anonymization and pseudonymization when partnering with other companies that process data.\u00a0\u00a0<\/span><\/li>\n<\/ol>\n
\n- Vendor Dialogs. <\/span><\/b>Enforce vendor compliance. The governance team must work with external vendors to ensure they have specific provisions that comply with the company\u2019s policies. As data sovereignty regulations expand, vendors must deliver the data services in compliance with the regulatory frameworks of the regions where the business operates.\u00a0<\/span><\/li>\n<\/ol>\n
\n- Data Unification Technologies using AI<\/span><\/b>.\u00a0<\/span><\/li>\n<\/ol>\n
You need clean, connected, trusted data to ensure data sovereignty compliance. Today’s tools, such as modern technologies, leverage AI\/ML capabilities to speed up and enhance data unification to ensure your data is internally consistent. Data unification tools can work more expansively and faster than a manual process.<\/span>\u00a0<\/span><\/p>\nToday\u2019s modern master data management (MDM) tools also leverage AI to detect data leakage \u2013 when data leaves or is at risk of leaving the borders that policy constrains it to.\u00a0 Modern MDM also has the ability to trace the entire lineage of data – sources the data came from, who contributed changes to it (a particular system or user), who consumed it, and when these actions were taken as the level of visibility we provide. Provenance is an important capability for managing data products. AI-powered MDM tools can use pattern recognition to spot when a business is leaking personally identifiable information (PII) or other information that needs to be kept within borders.\u00a0<\/span>\u00a0<\/span><\/p>\nExample: Healthcare<\/span><\/b>\u00a0<\/span><\/p>\nHealthcare systems face some of the most restrictive privacy and sovereignty policies. Many of today\u2019s healthcare management systems show that it is possible to have flexible and robust data management systems that remain compliant if the systems are designed with data management policies from the outset.<\/span>\u00a0<\/span><\/p>\nFor example, in a healthcare system, each customer (patient) can get a client ID kept locally; any system that needs to attach data to a patient uses only that ID. When data is processed, for billing or analytics or other reasons, the PII stays put; only the necessary information is transmitted.<\/span>\u00a0<\/span><\/p>\nDon\u2019t Sacrifice Speed, Agility, or Geography<\/span><\/b>\u00a0<\/span><\/p>\nWith the right tools and technology partner, a company does not have to slow down to ensure compliance with its own or governmental policies. Instead, the correct tools, approach, and mindset let companies act quickly and seamlessly on emerging issues, such as flagging pop-up data programs that are against policy before they become entrenched \u2013 and while the team is still active on the project and can modify it for compliance. Data sovereignty regulations vary by country, and they can be incredibly detailed and complex\u2014spanning data privacy, data localization, data residency, and more. Working with a partner that can manage data in compliance with local privacy regulations around the globe – from Asia-Pacific to North America to Europe is essential for every global organization today.<\/span>\u00a0<\/span><\/p>\n
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