How often does this podcast release new episodes?

This podcast is currently inactive and not releasing new episodes.

Where can I listen to this podcast?

This podcast is available on 4 platforms including Apple Podcasts, Spotify, and more. You can also use the RSS feed directly.

Does this podcast accept guests?

Yes, this podcast regularly features guests.

SAP Trends Podcast

Claim This Podcast

by NTT DATA España

14 episodes

Updated Inactive

Accepts GuestsHas SponsorsLocation 🇪🇸

Podcast Overview

Technology is revolutionizing businesses in all sectors around the world, with high environmental concerns that are influencing consumer behavior. Companies are currently facing a series of unprecedented challenges that are forcing them to either adapt or disappear. To help tackle these challenges and new opportunities, at NTT DATA we developed a podcast dedicated to further understanding how these changes are affecting our future and the way we live and specially analyzing which are the best solutions for customers and companies alike.

Language

🇺🇲

Publishing Since

3/30/2023

Visit Website View on Apple Podcasts RSS Feed

1 verified contact email on file for SAP Trends Podcast

Pitch yourself as a guest, propose sponsorships, or reach out directly to the host.

See contact details

Recent Episodes

March 13, 2024

NTT DATA - SAP Trends Podcast: Ariba use case

In this final episode of the NTT DATA SAP podcast, Takumi Muda, an SCM and cloud expert at NTT DATA, discusses an SAP Ariba implementation for spend management at a renowned automobile manufacturing conglomerate and explains the keys to its success. NTT DATA had to successfully overcome two major challenges. First, the customer had multiple custom-developed systems for domestic procurement, which resulted in redundant and unstandardized processes. The second challenge was the customer wanted a new solution to be completed in one year. NTT DATA proposed SAP Ariba as the perfect solution as it seamlessly connects to the client’s core SAP S/4HANA system. To ensure the project could be delivered on time, three policies were adopted. The first policy emphasized a fit-to-standard implementation with minimal customization; the second policy involved adopting agile software development instead of classic waterfall methodologies; and the third policy, called Quality, Cost, and Delivery (QCD), prioritized the most important features and functions, allocating resources and time accordingly. This project benefited from NTT DATA’s LEAP initiative, which supports SAP projects in large enterprises that accelerate innovation and digital transformation. Thanks to LEAP, NTT DATA was able to show the customer the capabilities of SAP Ariba and how it could integrate with their existing systems and processes. This served as a foundation to build trust and confidence with the customer and demonstrate its commitment and value proposition. Just hit “play” to hear more about this fascinating use case.

March 13, 2024

NTT DATA - SAP Trends Podcast: Extensibility

In this episode of the NTT DATA SAP podcast, Ricardo Langa introduces experts Mario Daban and Simon Schwarze to discuss the topic of extensibility in the SAP world. The conversation explains the concepts of composability and extensibility, emphasizing their importance in adapting to changing business needs and opportunities. Simon explains composability as the ability to compose different components for various business processes, using the example of business partner management functionality which is common to almost every process. Extensibility, on the other hand, involves extending existing functionalities without modifying the core logic, allowing for innovation and customization. Both concepts play a vital role in achieving higher levels of agility and efficiency in a dynamic business environment. The discussion shifts to NTT DATA's methodologies for addressing composability and extensibility challenges and its strong strategic partnerships with SAP as well as additional collaborations with Microsoft and ServiceNow. Simon explains that the key pillars for success include applying best practices, having an overview of available solutions, and understanding customer requirements. Fit gap analyzers are employed to match requirements with available solutions, emphasizing the importance of methodologies for successful implementation. Simon then explains the methodology suite used by consultants, incorporating application lifecycle management, project management, change management, release management, design thinking, LEGO Serious Play, lean process management, and more. The approach involves driving projects with a deep understanding of enterprise components and best practices. Mario broadens the discussion to stress the key role played by SAP technology in driving innovation and explain NTT DATA's value proposition, focusing on co-innovation, expertise, quality, and the value delivered to customers. Using collaborative and iterative processes, and its broad industry experience ensures consistently high quality, back by the use of rigorous standards and frameworks. Just hit “play” to learn more about the topic of extensibility for SAP users.

March 13, 2024

NTT DATA - SAP Trends Podcast: AI use case

In this episode of the NTT DATA SAP podcast, host Ricardo Langa introduces experts Hector Montalban and Adrian Kostrz, leaders of the AI practice in NTT DATA, who help demystify AI and look at some practical applications in business. Adrian says customers he talks to are eager to integrate AI into business processes for improved services and personalized experiences. However, concerns about data privacy, security, and ethical implications persist. Adrian underscores the importance of transparency, clear communication, and education to address these concerns. Hector then introduces a real-world use case that uses GenAI to help migrate ABAP code in an SAP S/4HANA environment. The work has been developed as a Proof of Concept (PoC) with a major client in Spain and he says initial results from the PoC are promising, with plans to increase the complexity of use cases and further enhance accuracy through additional training. Adrian stresses the importance of this use case as there are many SAP customers planning or starting their transitions to S/4HANA. Given the growing need to support them, an asset that can accelerate the completion of the various tasks involved in a conversion project will appeal to many customers. Finally, Adrian highlights the investment that NTT DATA has made in improving the capabilities and performance of AI for its clients as part of its long term vision and commitment to delivering the best possible outcomes for its customers. Just hit “play” to hear more about the fascinating topic of AI.

14 total episodes available

Deep-dive analytics for SAP Trends Podcast

Frequently asked questions

Have a different question and can't find the answer you're looking for? Reach out to our support team by sending us an email and we'll get back to you as soon as we can.

What is SAP Trends Podcast?: Technology is revolutionizing businesses in all sectors around the world, with high environmental concerns that are influencing consumer behavior. Companies are currently facing a series of unprecedented challenges that are forcing them to either adapt or disappear.

To help tackle these challenges and new opportunities, at NTT DATA we developed a podcast dedicated to further understanding how these changes are affecting our future and the way we live and specially analyzing which are the best solutions for customers and companies alike.
How often does this podcast release new episodes?: This podcast updates inactive.
Where can I listen to this podcast?: This podcast is available on 4 platforms including Apple Podcasts, Spotify, and more. You can also use the RSS feed directly.
Does this podcast accept guests?: Yes, this podcast regularly features guests.

Legal Disclaimer

Pod Engine is not affiliated with, endorsed by, or officially connected with any of the podcasts displayed on this platform. We operate independently as a podcast discovery and analytics service.

All podcast artwork, thumbnails, and content displayed on this page are the property of their respective owners and are protected by applicable copyright laws. This includes, but is not limited to, podcast cover art, episode artwork, show descriptions, episode titles, transcripts, audio snippets, and any other content originating from the podcast creators or their licensors.

We display this content under fair use principles and/or implied license for the purpose of podcast discovery, information, and commentary. We make no claim of ownership over any podcast content, artwork, or related materials shown on this platform. All trademarks, service marks, and trade names are the property of their respective owners.

While we strive to ensure all content usage is properly authorized, if you are a rights holder and believe your content is being used inappropriately or without proper authorization, please contact us immediately at hey@podengine.ai for prompt review and appropriate action, which may include content removal or proper attribution.

By accessing and using this platform, you acknowledge and agree to respect all applicable copyright laws and intellectual property rights of content owners. Any unauthorized reproduction, distribution, or commercial use of the content displayed on this platform is strictly prohibited.