Managing the Entire Lifecycle
High-quality, reliable inputs from business processes helps make better decisions. This is what differentiates an intelligent company from a traditional one.
Data has its lifecycle, which spans from its generation and capture to its consumption, all governed and orchestrated by a series of solutions aimed at ensuring its quality. SAP supports companies throughout this journey.
At NTT DATA, we divide lifecycle management into three major blocks
Data Governance
Data governance primarily focuses on quality. This is crucial because inaccuracies lead to incorrect decisions. Another element is metadata management, which includes traceability (where does the information come from?) and availability (when will we have it? In what format does it arrive?). Governance also includes master record management, ensuring each entry is unique, avoiding duplicates, and eliminating any obsolete inputs. Finally, it addresses security: ensuring that each user, according to their role, accesses only what they are supposed to and ensuring compliance with the company's internal regulations.
SAP Master Data Governance (MDG)
Modeling
An intelligent company needs a central "business-ready" base that allows it to unleash its full potential for better business results. However, to make effective decisions, all available information must be prepared. How should everything generated be handled? Retrieve, integrate, manage, and make it available to users for use. In other words, gather material from various sources and apply logical rules to make it accessible and understandable for users. The resulting inputs are then shared for use in reporting solutions. This process also ensures governance and efficiency.
Reporting & Dashboarding
This is the final step, where all the information collected and processed in the previous blocks is made available to the user. It is crucial to ensure that each team member receives content in a format tailored to their specific role and the actions they will take based on it.
Solutions
SAP Master Data Governance (MDG)
MDG provides companies with a central repository to manage all quality standards. This facilitates the task of implementing these rules, a process carried out using predefined master data models. Additionally, being part of SAP, its configuration is quick and easy, without the need for complex developments or numerous steps. It covers both information consolidation and its quality and central governance.
SAP Datasphere
This solution helps eliminate dependency on different sources and then disposes and integrates it into a single repository. Additionally, it allows the development of an enterprise data fabric architecture that facilitates quick access to important information while maintaining both the context and business logic intact. Finally, it offers scalable access and a unified management experience. This includes integration, cataloging, semantic modeling, storage, federation, and virtualization.
SAP Analytics Cloud
This is a simple drag-and-drop solution that connects directly to SAP and is designed to be used by end-users without needing extensive technical knowledge. It offers real-time insights and can be accessed from various devices. Being cloud-based, it eliminates the need to replicate this information in different locations.
Why NTT DATA?
When implementing these SAP solutions that cover the entire data lifecycle and help turn the company into an intelligent, data-driven enterprise, it is important to be accompanied by a partner who can guide you through the entire process. At NTT DATA, our experience in implementations for large clients has provided us with extensive knowledge of the best market practices.
