Data transparency remains a critical concern for data projects and regulatory
compliance, especially considering evolving data protection and privacy regulations.
Organisations face the dual challenge of ensuring compliance while managing
distributed data and expanding customer bases.
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PDFData Protection & Transparency
Data transparency remains a critical concern for data projects and regulatorycompliance, especially considering evolving data protection and privacy regulations.Organisations face the dual challenge of ensuring compliance while managingdistributed data and expanding customer bases.
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PDFDocumenting a KYC Process
Data Leaders recognise that data is not static but rather a living entity thatundergoes constant change. It acknowledges the value of data as yourcompany’s intellectual property, capable of providing valuable insights andsupporting documentation of your processes and data journeys. By leveragingdata to its fullest potential, you can gain a deeper understanding of yourbusiness processes and uncover valuable insights.
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PDFEvent Streaming
The exponential growth of event streaming and its pivotal role in event- basedplatforms is undeniable. The sheer volume of data being handled by theseplatforms is expanding rapidly. Event streams, also known as data streams,often undergo modifications through event stream processing applications.However, as these platforms expand, concerns arise regarding datavolume and veracity. There is a lack of certainty regarding the data beingdistributed or received, and there is also uncertainty about the overallfunctionality of the environment.
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PDFData Observability
The organisation has made the strategic decision to establish acentralised data mesh, offering capabilities and domain-specific dataas a product. In order to effectively manage this data mesh, theyrecognise the need to go beyond the capabilities of current datagovernance tools, which primarily provide attribute and structuralinformation.
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PDFESG – Climate Risk
Navigating the landscape of environmental, social, and governance (ESG)data can indeed be challenging and costly. With increasing pressure onbusinesses to assess, adapt, and mitigate risks associated with ESGfactors, financial institutions face a similar imperative to understand therisks they may be exposed to, when their clients fail to take appropriatesteps to mitigate climate risks.
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PDFBusiness Scenarios and Key Capabilities of dataSense
4 business scenarios
Suggested Content
Clear Search
Data Protection & Transparency
Data transparency remains a critical concern for data projects and regulatorycompliance, especially considering evolving data protection and privacy regulations.Organisations face the dual challenge of ensuring compliance while managingdistributed data and expanding customer bases.
Documenting a KYC Process
Data Leaders recognise that data is not static but rather a living entity thatundergoes constant change. It acknowledges the value of data as yourcompany’s intellectual property, capable of providing valuable insights andsupporting documentation of your processes and data journeys. By leveragingdata to its fullest potential, you can gain a deeper understanding of yourbusiness processes and uncover valuable insights.
Event Streaming
The exponential growth of event streaming and its pivotal role in event- basedplatforms is undeniable. The sheer volume of data being handled by theseplatforms is expanding rapidly. Event streams, also known as data streams,often undergo modifications through event stream processing applications.However, as these platforms expand, concerns arise regarding datavolume and veracity. There is a lack of certainty regarding the data beingdistributed or received, and there is also uncertainty about the overallfunctionality of the environment.
Data Observability
The organisation has made the strategic decision to establish acentralised data mesh, offering capabilities and domain-specific dataas a product. In order to effectively manage this data mesh, theyrecognise the need to go beyond the capabilities of current datagovernance tools, which primarily provide attribute and structuralinformation.
ESG – Climate Risk
Navigating the landscape of environmental, social, and governance (ESG)data can indeed be challenging and costly. With increasing pressure onbusinesses to assess, adapt, and mitigate risks associated with ESGfactors, financial institutions face a similar imperative to understand therisks they may be exposed to, when their clients fail to take appropriatesteps to mitigate climate risks.
Business Scenarios and Key Capabilities of dataSense
4 business scenarios