In our data-driven world, it may seem inevitable that some information will remain scattered across disparate systems. Even after significant progress in organizing your data, you may still wonder if there’s a more effective way to manage all your data and whether a smoother approach to data integration could give you a leg up on the competition.
Rest assured, the answer is a definitive yes.
Imagine having self-service access to reliable data with business context intact. This is precisely what a business data fabric provides. But there are multiple paths to implementing a business data fabric, and some are more cost-effective than others.
4 ways organizations achieve remarkable savings with a business data fabric
In my previous blog, I talked about the advantages of choosing SAP Datasphere as the foundation for a business data fabric over a DIY blend of applications. Here, I’ll take a look at the ROI you can expect from implementing a business data fabric with SAP Datasphere based on the GigaOm TCO analysis, and how it depends in large part on your implementation approach.
1. Streamlining data integration
Integrating all data sources, including applications, clouds, and on-premise servers, provides a more cohesive view of your data and streamlines your analytics. This results in easier and faster access to impactful business insights. According to the GigaOm TCO analysis, the cost of using SAP Datasphere to achieve this was 69% lower than the cost of developing and establishing a DIY data fabric.
2. Achieving cost advantages
GigaOm found that companies saved up to 138% in total cost of ownership over three years when they use SAP Datasphere compared to DIY implementations. These are savings you can reinvest in other critical areas.
3. Increasing operational efficiency
In addition to saving money, you can cut your initial data fabric build timelines by more than half. GigaOm found that SAP Datasphere reduces the initial build timeline by about 2.5 times compared to DIY implementations, getting you up and running much faster and with less effort. And you won’t need to dedicate as much headcount to the build/migrate, CI/CD, and administration stages of implementation with SAP Datasphere, enabling you to achieve more with less.
4. Enabling scalability for future growth
Every business data fabric has its benefits, but it’s only as useful as it is scalable. The ideal solution allows your business and data solutions to grow at the same pace. SAP Datasphere is designed to support scalable growth. GigaOm found that the three-year TCO for a large data fabric implementation is $8.55 million with SAP Datasphere compared to $20.76 million with a DIY blend of applications. These savings provide long-term value and enables you to prepare your business for future challenges and opportunities.
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SAP Datasphere is the foundation for a comprehensive, integrated business data fabric that streamlines the entire data management process. Visit the business data fabric page to learn more.
In our data-driven world, it may seem inevitable that some information will remain scattered across disparate systems. Even after significant progress in organizing your data, you may still wonder if there’s a more effective way to manage all your data and whether a smoother approach to data integration could give you a leg up on the competition.Rest assured, the answer is a definitive yes.Imagine having self-service access to reliable data with business context intact. This is precisely what a business data fabric provides. But there are multiple paths to implementing a business data fabric, and some are more cost-effective than others.4 ways organizations achieve remarkable savings with a business data fabricIn my previous blog, I talked about the advantages of choosing SAP Datasphere as the foundation for a business data fabric over a DIY blend of applications. Here, I’ll take a look at the ROI you can expect from implementing a business data fabric with SAP Datasphere based on the GigaOm TCO analysis, and how it depends in large part on your implementation approach.1. Streamlining data integrationIntegrating all data sources, including applications, clouds, and on-premise servers, provides a more cohesive view of your data and streamlines your analytics. This results in easier and faster access to impactful business insights. According to the GigaOm TCO analysis, the cost of using SAP Datasphere to achieve this was 69% lower than the cost of developing and establishing a DIY data fabric.2. Achieving cost advantagesGigaOm found that companies saved up to 138% in total cost of ownership over three years when they use SAP Datasphere compared to DIY implementations. These are savings you can reinvest in other critical areas.3. Increasing operational efficiencyIn addition to saving money, you can cut your initial data fabric build timelines by more than half. GigaOm found that SAP Datasphere reduces the initial build timeline by about 2.5 times compared to DIY implementations, getting you up and running much faster and with less effort. And you won’t need to dedicate as much headcount to the build/migrate, CI/CD, and administration stages of implementation with SAP Datasphere, enabling you to achieve more with less.4. Enabling scalability for future growthEvery business data fabric has its benefits, but it’s only as useful as it is scalable. The ideal solution allows your business and data solutions to grow at the same pace. SAP Datasphere is designed to support scalable growth. GigaOm found that the three-year TCO for a large data fabric implementation is $8.55 million with SAP Datasphere compared to $20.76 million with a DIY blend of applications. These savings provide long-term value and enables you to prepare your business for future challenges and opportunities.Get startedSAP Datasphere is the foundation for a comprehensive, integrated business data fabric that streamlines the entire data management process. Visit the business data fabric page to learn more. Read More Technology Blogs by SAP articles
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