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Data sharing

To deliver effective services to your customers and partners, you need to share data – a process made more challenging when organizations span multiple jurisdictions.

Solidatus’ modeling and visualization capabilities allows you to demonstrate control of your data, and to understand each data sharing process, including those relating to: client location; destination of data transfer; type of data; the purpose of sharing it; client and data owner permissions; jurisdictionally varying legal requirements; and internal agreements.  

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Understand and manage where data is shared

Mitigate the significant risks associated with a data breach and avoid regulatory fines and sanctions by mapping data privacy, access and retention rules across all your business entities, jurisdictions, data categories, usages and systems. At a high level, this delivers major time savings and efficiency increases. Digging deeper, you can: reduce regulatory and reputational risk; make faster and more reliable decisions on data sharing; reduce key resource dependency; and create of a shared knowledge base to help reduce risks in change management.
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Build a data sharing framework that encompasses the relevant rules

Use Solidatus to build and maintain a comprehensive data sharing framework that digitizes all of the applicable laws, regulations and policies that apply to the jurisdictions in which you operate, including where your data servers are located. This enables automation of data sharing requests, delivering an immutable record of compliance. Shared by your data experts, this reduces key resource dependency where knowledge is held in small teams.
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Extract greater value once you have documented your data sharing requirements

Once you have documented your data sharing requirements, you can extract greater value from your investment by extending this approach to other related and critical data governance processes that have complex requirements based on type of data, type of usage, location and legal requirements. These include: data access rights; data residency and sovereignty (including for migration of data to the cloud); and record retention and the deletion of data.
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Plan major transformation programs with data sharing in mind

With the structure and flow of your data mapped, a modeler can then meet numerous challenges related to data sharing. Not only can you understand your current requirements, but you have a tool that helps your organization plan and manage changes in: internal processes; data sources and usage; internal staffing; and external requirements.

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