Topics

Explore critical topics shaping today’s SAP landscape—from digital transformation and cloud migration to cybersecurity and business intelligence. Each topic is curated to provide in-depth insights, best practices, and the latest trends that help SAP professionals lead with confidence.

Regions

Discover how SAP strategies and implementations vary across global markets. Our regional content brings localized insights, regulations, and case studies to help you navigate the unique demands of your geography.

Industries

Get industry-specific insights into how SAP is transforming sectors like manufacturing, retail, energy, and healthcare. From supply chain optimization to real-time analytics, discover what’s working in your vertical.

Hot Topics

Dive into the most talked-about themes shaping the SAP ecosystem right now. From cross-industry innovations to region-spanning initiatives, explore curated collections that spotlight what’s trending and driving transformation across the SAP community.

Topics

Explore critical topics shaping today’s SAP landscape—from digital transformation and cloud migration to cybersecurity and business intelligence. Each topic is curated to provide in-depth insights, best practices, and the latest trends that help SAP professionals lead with confidence.

Regions

Discover how SAP strategies and implementations vary across global markets. Our regional content brings localized insights, regulations, and case studies to help you navigate the unique demands of your geography.

Hot Topics

Dive into the most talked-about themes shaping the SAP ecosystem right now. From cross-industry innovations to region-spanning initiatives, explore curated collections that spotlight what’s trending and driving transformation across the SAP community.

SAP Data Strategy

SAP Data Strategy: Driving Business Value Through Enterprise Data Vision and Execution

As business and IT executives recognize that data equates to value, organizations increasingly need a strong data strategy to convert data into tangible business outcomes. SAPinsider research on Data Management and Data Warehousing on Cloud found that 58% of respondents are completely or mostly satisfied with their data strategy, while 33% are only partially satisfied, highlighting the gap between strategic intent and execution.

What Is SAP Data Strategy?

SAP Data Strategy is a comprehensive vision for how an organization will collect, store, manage, share and use data to achieve business value across its enterprise technology landscape. Key elements include data governance frameworks, data quality standards, integration approaches, data archiving strategies, master data management, and alignment with RISE with SAP or GROW with SAP transformation initiatives.

What Use Cases Are Referenced?

RISE with SAP Transformation Requires Comprehensive Data Strategy

Enterprises embarking on RISE with SAP journeys develop data strategies that address data migration to S/4HANA and cloud data governance, ensuring the ERP transformation delivers expected business value.

Data Strategy Drives AI and Analytics Excellence

Organizations with well-defined data strategies are better positioned to deploy AI and advanced analytics at scale, as strong data foundations ensure training data quality and governed data access.

Cloud Data Warehousing Strategy Modernizes Legacy Infrastructure

Companies transitioning from on-premise data warehouses to cloud platforms develop data strategies that address data migration, cloud governance and integration with SAP Business Data Cloud.

Data Strategy Supports GDPR and Compliance Requirements

Enterprises use data strategy frameworks to address data protection, privacy, classification and residency requirements under GDPR and other regulations.

Master Data Strategy Ensures Enterprise-Wide Data Consistency

Organizations develop master data strategies that address central governance and data quality across SAP and third-party systems to maintain a single source of truth for critical entities including customers, suppliers and products.

What SAPinsider Research Supports This Topic?

SAPinsider Data Management and Data Warehousing on Cloud Report

SAPinsider research on Data Management and Data Warehousing on Cloud found that 58% of respondents are satisfied with their data strategy performance, with 33% only partially satisfied, highlighting strategic execution gaps.

SAPinsider Enterprise Data Strategy Coverage

SAPinsider reporting on enterprise data strategy examines how organizations formulate data strategies across SAP and non-SAP data, translating business strategy into data models, processes and policies.

SAPinsider SAP Data Management Strategy Analysis

SAPinsider analysis of SAP data management strategies explores how organizations develop comprehensive data strategies that address governance, quality and integration across hybrid landscapes.

SAPinsider Data Strategy for SAP Transformation Coverage

SAPinsider reporting on SAP transformation initiatives examines how organizations develop data strategies that support RISE with SAP and S/4HANA migrations, positioning data as a strategic asset.

See Latest Related Content Below

Datasphere
Strategy and Execution: Closing the GapSAP Datasphere goes beyond what was enabled by SAP DWC with source data neutrality and data ecosystem partnerships in a three-tier construct that is similar to competitor offerings with data consumption tier, or “front end” of the data story that enables business users to access, analyze, and visualize data; a platform tier, including SAP Datasphere running in SAP Business Technology Platform (BTP); and a data tier that enables data from SAP and non-SAP data from any source or location.
How Microsoft Helps Meet Growing Data RequirementsData is the lifeblood of modern business. Organizations are collecting vast amounts of information in order to intelligently run operations and gain an advantage within their field. In this digital economy, companies have a growing need to scale up their data capacity so that they do not fall behind. SAP users in particular often require high levels of memory and CPU to run their most critical business operations—and as technological capabilities expand, the need for more computing power is only growing. In this article, you can learn how to accommodate these needs without having to commit to major hardware upgrade projects and not worry whether you are sacrificing long-term goals to meet short-term needs.
Data Protection Strategy
Developing a Data Protection Strategy for SAP HANAAs companies accelerate on the path to digitalization and digital transformation, their organizations are becoming more vulnerable to data protection risks. Developing a data protection strategy for SAP HANA is no longer an option but a requirement. Organizations today rely on leveraging data for their day-to-day operations as well as decision making and hence, loss of data can be crippling for an organization. A data protection strategy has thus become imperative for organizations and is top of mind C-level executives. SAPinsiders leveraging SAP HANA are not an exception. SAP HANA database is at the core of data and analytics architecture for a majority of those who leverage SAP technology. It is therefore critical that SAPinsiders in this domain invest in a robust data protection solution. Selecting an optimal solution however is not an easy task. This webinar will help attendees with an approach that they can leverage to select a data protection solution that provides modern data protection for SAP HANA databases. Attendees will gain insights like: What is modern data protection and why is it critical for an organization? Understand the critical success factors that come into play when assessing modern data protection solutions. Understand modern data protection nuances specific to SAP HANA database. Attendees will learn how to: Ensure that backups are available for recovery Move away from scripts and move towards SLA domain protection Configure SAP HANA protection from the SLA Design backups to meet recovery requirements
Johann Lubbe image
Town Hall: Prioritising Data as a Strategic AssetData is a critical business asset, whether that’s realised to its full potential is up to the business. How an enterprise prioritises data as a strategic asset will determine its survival, growth potential, and competitive advantage.
SAP S/4HANA image
System Optimization using SAP S/4HANA’s Data AgingThere has been a significant increase in data generation owing to enhanced usage of applications and increasing digitization of business processes. To derive true value from the data, this has to be stored and processed efficiently. The larger the quantity of data, the more complex it is to sift through to gain insights. This is especially so with real-time analytics being run directly on top of transactional systems. SAP S/4HANA, true to its capabilities, facilitates faster transactions while enabling equally fast reports to run on top of these transactions. However, there needs to be a well-designed approach to ensure efficient data storage/bifurcation to ensure the right amount and category of data is stored in memory and remains in disk, which strikes a balance between runtime availability of data and cost of infrastructure for data storage in memory. To facilitate this, Data Aging should be implemented. This article enables the readers to understand: - The concept and benefits of Data Aging, with steps to implement it. - Temperature segregation of data into Hot and Cold data. - Step-by-step process to segregate data effectively.
Enabling Data-Driven Enterprises with Data Lakes for SAPToday’s leading companies are leveraging the massive amounts of data generated by SAP systems, devices, and people to create new, re-imagined business processes. To turn data into a competitive advantage, companies must establish a modern data platform that can not only effectively integrate SAP and non-SAP data sources, but is also capable of supporting the […]
Building a Winning Culture For Data Analytics ExcellenceA Series on Data Excellence By Deepa Salem, Vice President and Research Director, SAPInsider “Culture eats strategy for breakfast” – a quote commonly attributed to Peter Drucker, the management expert. This fact rings true today in the realm of enterprise data analytics strategy. Without a data culture that catalyzes the strategy and brings it to life, any […]
Data Readiness and Preparation for Your SAP S/4HANA ImplementationTo develop a sound and scalable data foundation, it is critical to start with a clear understanding of your current data landscape. In this session, we will share the key activities that lead to a successful outcome. Attend this session to gain access to: - Team dynamics from execution to ownership - The building blocks for a data readiness assessment (DRA) - Key decision factors for data management and conversion
What’s Your X-Data Strategy?For many years, human resources (HR) applications have been largely focused on capturing transactional data across an employment life cycle. This data — often referred to as operational data, or O-data — is used to measure the effectiveness of HR business processes, track compliance, and demonstrate HR’s value to the organization. As valuable as O-data […]
Data Can’t Wait: Start Planning Today

Since the inception of SAP S/4HANA, one of the main risks that often derails the implementation journey centers around preparing, cleansing, converting, and managing the data. This article presents leading practices that SAP customers can leverage during their SAP S/4HANA implementations to significantly reduce program risks associated with the data conversion process. The advice provided includes focusing on pre-planning activities well in advance of the initial data conversion, ensuring that data quality, management, and governance foundations are established early and that initiatives are continuously ongoing, and leveraging the data conversion phase to address other key requirements such as jumpstarting self-service analytics.

Related Vendors