Driving change, especially in a business context, is a process that takes time and effort. Success hinges on robust collaboration, meticulous planning, and the application of appropriate technology solutions.
Likewise, transforming your company’s data landscape demands coordination and planning among your business and IT teams. A business data fabric architecture is essential. This architecture focuses on delivering an integrated, semantically rich data layer over underlying data landscapes, to provide seamless and scalable access to data without duplication.
SAP Datasphere is the foundation for a business data fabric.
In previous blogs, I’ve discussed the advantages and ROI of building a business data fabric with SAP Datasphere. In this blog, I will share seven steps for implementing a business data fabric, designed to help you follow best practices and achieve a smoother, faster build:
Step 1: Review your current data architecture
Audit your current processes to build a complete map of your data sources, systems, and flows, to identify any gaps and challenges you need to address.
Step 2: Define your data governance framework
Determine the comprehensive set of policies, processes, and standards that will be implemented across your company to ensure the accuracy, consistency, and security of all your data.
Step 3: Design your business data fabric architecture
Create a single, unified data model that incorporates the data sources, data governance policies, and security protocols you’ve established.
Step 4: Integrate your data into a single view
Using your newly defined model, connect your data sources both inside and outside the organization and integrate them across systems and user applications.
Step 5: Deploy your data governance policies
Implement the governance and security protocols you have established, ensuring that data quality, lineage, and masking rules are thoroughly verified before granting data access to users. This will help in maintaining the integrity and security of your data.
Step 6: Configure AI and analytics
Use analytics and automation to actively harness the potential of your business data fabric in real time, leveraging AI to deliver actionable and in-context insights to all relevant stakeholders.
Step 7: Communicate and manage the changes
Implement the cultural changes that a business data fabric architecture requires, ensuring that your company is prepared to adopt new data management practices and promote the use of data across different teams and business areas.
Take the next step
Ready to build your own business data fabric with SAP Datasphere? Get started by visiting our business data fabric page.
Driving change, especially in a business context, is a process that takes time and effort. Success hinges on robust collaboration, meticulous planning, and the application of appropriate technology solutions.Likewise, transforming your company’s data landscape demands coordination and planning among your business and IT teams. A business data fabric architecture is essential. This architecture focuses on delivering an integrated, semantically rich data layer over underlying data landscapes, to provide seamless and scalable access to data without duplication.SAP Datasphere is the foundation for a business data fabric.In previous blogs, I’ve discussed the advantages and ROI of building a business data fabric with SAP Datasphere. In this blog, I will share seven steps for implementing a business data fabric, designed to help you follow best practices and achieve a smoother, faster build:Step 1: Review your current data architectureAudit your current processes to build a complete map of your data sources, systems, and flows, to identify any gaps and challenges you need to address.Step 2: Define your data governance frameworkDetermine the comprehensive set of policies, processes, and standards that will be implemented across your company to ensure the accuracy, consistency, and security of all your data.Step 3: Design your business data fabric architectureCreate a single, unified data model that incorporates the data sources, data governance policies, and security protocols you’ve established.Step 4: Integrate your data into a single viewUsing your newly defined model, connect your data sources both inside and outside the organization and integrate them across systems and user applications.Step 5: Deploy your data governance policiesImplement the governance and security protocols you have established, ensuring that data quality, lineage, and masking rules are thoroughly verified before granting data access to users. This will help in maintaining the integrity and security of your data.Step 6: Configure AI and analyticsUse analytics and automation to actively harness the potential of your business data fabric in real time, leveraging AI to deliver actionable and in-context insights to all relevant stakeholders.Step 7: Communicate and manage the changesImplement the cultural changes that a business data fabric architecture requires, ensuring that your company is prepared to adopt new data management practices and promote the use of data across different teams and business areas.Take the next stepReady to build your own business data fabric with SAP Datasphere? Get started by visiting our business data fabric page. Read More Technology Blogs by SAP articles
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