Hello everyone. My name is, I have t years of experience in Enterprise Cloud technologies with a strong focus on data engineering analytics and I also have the more than 15 years of deep industry expertise working across various sectors to drive innovation, performance, and value through the data driven solutions. Today we are going to talk about that. Data services and below the topics we are going to cover, let's move to agenda Today. We'll expose some of the key challenges enterprise face in modern integration with a special focus on SAP system. We'll drive into the SAP World Data Services for examine how, what data are transforming integration by enabling seamless data exchange across the platforms. In this scenario, we will look at the performance optimization techniques, explore real world case studies, and discuss how mobile and the third party integrations are driving greater efficiency and adoption across the industries. Let's move on to the next one. For modern enterprise integration challenges, large augmentation often operate across five to 15 distinct systems are more than that one. With every new system added complexity does not just increase, it grows exponentially. Create what researchers call integration depth. Some of the common challenges included middleware dependency, which drives up cost to heterogeneous environment, massive data volumes that create the bottlenecks at the interface boundaries, pushing performance recommend to the limit security weakness. Explicitly when exposing sens or high confidential data to the modern cloud-based application complexity and return data transformation as a different system often represent the same business concept in entirely different ways. Integration method often lead to what we call ity integration. The tangle, a fragile and expensive web of connection that's become harder to maintain over time. Let's move the next further integration and distance aggression cycles. Enterprises often move between cycle of consultation and fragmentation driven by the evolving business needs. According to the research by Lee and May. Each new system added indication pain point does not just increase. They multiply creating, escalating complexity across the enterprise landscape. In two days, always on economy, that demand has shifted toward the real time access to zero latency or maybe with near zero latency. Even small delays can impact decision making, customer experience, and overall operational efficiency. With that one, the evaluation, SAP integration Flats, SAP integration, has gone through the several key stages on over the time in the past or early, early, SAP in the beginning of the custom SAP web program and bad jobs were used. This work well for basis needs, but lack of flexibility for in real time operations. Traditional integration. Next middleware layers and the connectors were introduced with the effective, with the cured specialized expertise and often create silos. Access systems. What data service error today? The data service presenter. A major shift delivering restful, standardized A PA overall STTP, enabling seamless, scalable, and modern integration platform first approach. Finally, integration has evolved to the platform first model where security scaling, more monitoring and error handling, or managed centrally at the platform level, not individually at the error integration point. To move on the next slide. The what Data Service architecture Overview. What data Extend Rest principle to meet the unique needs of SAP environments. First, it use entity modeling that aligns directly with SAP application layer, ensuring your natural fit for enterprise data structures. Second, all data provides metadata descriptions. Making service, self-documenting and easier for developers to understand and consume that it supports standard CT P operations, including get post, put and delete, ensuring seamless integration across modern applications. Finally, what data definition can consumed by third party application while preserving rich business semantics, enabling consistent meaning and context across platform. Let's talk about that benefit and benefit of that water data approach. Let's look at some of the key benefits of the word data First. Democratize data access operating under the principle of connect once re often reuse often, which significantly improves efficiency and scalability. Second, it reduce integrity complexity of offering consistent interfaces, simplified security, and broad compatibility through the JSN and Excel support that. It takes a developer friendly approach by using restful patents familiar to most developer and align aligning closely with the S-A-P-I-P first strategy. Finally, all data brings strong technical advantages, including flexible querying and simplified entity relationship model that can fully leverage SAP HANA in memory patterns. Let's talk about the performance automations and techniques. Scale performance in more that is achieved through several key optimization techniques. Select filtering, selective filtering, imagination support, response to comparison, batch processing filtering is this user server. Site filtering which dollar filter expression to only the what necessary, and avoiding un unnecessary data loads. Imagination support. Implemented using dollar skip and dollar top parameters. This ensure large data sets are delivered in smaller, manageable chunks. Response comparison, algorithm, compass data payloads, and significantly reduce bandwidth usages, batch processing, multiple operation or consolidating into the single call, minimizing network power rate and improving efficiency. With these techniques, response time can drop to as low as 700 milliseconds even for complex data scenarios. Let's talk about a advantage of automation techniques. Let's move on the next topic. Now let's focus on two advanced automation techniques that take all data performance to the next level. Selective field projection, delta core capabilities. For the selector fields projection. Using the store selection option, we can retain only the recurred field rather than that entire dataset. This prevents unnecessary data transfer and keeps payload size minimal delta query capabilities. This allows use to fetch only the data that has changed since the last synchronization point. It's particularly valuable for the large dataset with the frequent updates as it is a significant reduced bandwidth usage and improve significant efficiency. Together these techniques ensure faster performance and more scalable integration, especially in the data heavy interface environment. And let's talk about the implementation case studies and metrics. This graph highlights the metrics across key industry sectors, manufacturing, retail, financing, service, and healthcare, showing the real world I impact of the door data integration. Case studies confirm several benefits, reduce development, maintenance for cost through the standardized, reusable A ps, aps improved user satisfaction. Faster response time and smarter, smoother interaction. These results demonstrate how data service are driving measurable efficiency and business value across industries. Let's talk about the industry specific benefits. In continuation with the previous slide, let's now explore how modern integration delivers measurable benefits across the various industries. Manufacturing industries achieved 32 percentage fewer parts shortage through the real time supply chain synchronization. Retail industries improved inventory accuracy from 82 to 98.5 percentage enabling better stock management and customer satisfaction. Financial service enable faster compliance and greater agility in launching the new services healthcare providers, and 80% of reduction of integration relay related data errors, ensuring better patient care and operational efficiency. And how we are going to connect with the mobile, mobile and third part application integration, the key feature of that one. Now let's look at the how all data supports mobile and third part integration. All data are low SAP data to be consumed directly by mobile application using JS N and HCDP protocols. This means we no longer rely on S-A-B-G-A or legacy RFC based approaches. Complexity and integration. Integration overhead. Additionally, the simplified authentication and the seamless data delivery significantly boost user adoption, making the overall experience much more in-build and efficiency for the business user and developers, mobile integration. Let's talk about the mobile indication architecture. Let's expose the mobile index architecture. This architecture follows your laid approach, starting from the SAP backend, exposing data through the old data services, passing through that robust security layer, and finally reaching the mobile application. Support mobile first strategies enabling users to ex execute critical business process beyond technical reports. At the same time, it ensure strong complaints and enterprise grade security with non-negotiable and modern IT landscape. The key takeaways of the world of concept. To wrap up, let's summarize the key takeaway from the today's discussion on all data. First, all data strikes the right balance between SAP safety functionality, and industry standard protocols making its versatile enterprise integration. Second, both the development and maintenance effort are significantly reduced, allowing team to focus on developing business value rather than the managing complex integration. With the proper optimization, enterprise grade is fully achievable, ensuring variable and scalable operations. Fourth, real world examples across industries clearly demonstrate ever efficiency, gain, and cost reduction. And most importantly, more data enables through digital transformation seamlessly connecting SAP system with the modern cloud platform and mobility or third party applications. Business to stay agile and competitive on digital in first world. Thank you. Thank you all of your time and attention today. I hope this session has offered valuable insight into the how our data service can drive efficiently and nice performance and transform enterprise enabling business transformation. One second. Thank you for joining me and I truly appreciate your participation. Bye.