SAP Data Strategy


What Is SAP Data Strategy?

Business and IT executives are convinced that data equates to value. Yet, to convert data into tangible business value, companies need a strong data strategy.

SAPInsider research on Data Management and Data Warehousing on Cloud found that 58% of respondents are completely or mostly satisfied with how their data strategy is meeting their organization’s data access, reporting, and intelligence requirements, while 33% are partially satisfied.

What Is SAP Data Strategy?

Business and IT executives are convinced that data equates to value. Yet, to convert data into tangible business value, companies need a strong data strategy.

SAPInsider research on Data Management and Data Warehousing on Cloud found that 58% of respondents are completely or mostly satisfied with how their data strategy is meeting their organization’s data access, reporting, and intelligence requirements, while 33% are partially satisfied.

A data strategy is a vision for how a company will collect, store, manage, share, and use data. Increasingly, enterprises recognize the importance of formulating an enterprise data strategy that spans across SAP and non-SAP data.

A good data strategy is driven by the business strategy. It translates the goals, risks, and requirements of the business into data models, processes, policies and technologies. Without a good data strategy, the organization is likely to have inefficient and poorly executed business processes, frequent data privacy and compliance issues, poor data analytics, customer dissatisfaction due to delays and errors, and significant costs due to manual operations.

Many specialist consultants can help companies with data strategy such as Pythian and cbs-Consulting.

Data Strategy Elements

There are four commonly acknowledged elements of data strategy that generate questions to consider:

  1. Goals and Objectives for Data: What are the goals for data? For example, goals may be to enable enterprise analytics and smooth business processes, provide data to business users efficiently, and reduce data storage costs. Companies also have short-term goals such as consolidating data stores in one location or cleaning up master data.
  2. Organizational Roles: What are the roles that manage or use the data? Data architects and engineers may build the data infrastructure, data scientists may use it for analytics, while business users may create, update, or use specific data based on their role.
  3. Data Architecture: Where will data be stored and how will it be accessed? A wide variety of storage is used both on-premise and on cloud. Increasingly, companies are consolidating data on the cloud in the form of data lakes, data hubs, or data warehouses with SAP HANA or other solutions. Vendors like Dell, NetApp, NTT Data, and TIBCO offer robust solutions to store and manage data.
  4. Data Management: How will data be governed, converted, transported, and archived? Data is considered a business asset; similar to a physical asset, companies develop ways to govern its use and manage it over its lifecycle. There is a proliferation of vendors offering services such as master data governance, including the Laidon Group.

In addition to the above, companies are now considering a short-term data strategy around how to migrate to SAP S/4HANA. This presentation, Data Readiness and Preparation for Your SAP S/4HANA Implementation, outlines how to develop a data foundation during and before the migration.

16 results

  1. How Microsoft Helps Meet Growing Data Requirements

    Reading time: 11 mins

    Data 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…
  2. Data Governance Strategy

    5 Steps to Build a Holistic Data Governance Strategy That Ensures Master Data Quality

    November 16, 2022

    Do you struggle with building an effective data governance strategy? Master Data Management without Data Governance is a recipe for disaster. Companies need to have a holistically-defined Data Governance framework. This framework should stipulates the processes, policies, and standards on the use of data. This webinar will explore how to build a holistic strategy and…
  3. Data Protection Strategy

    Developing a Data Protection Strategy for SAP HANA

    October 27, 2022

    As 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…
  4. SAP S/4HANA image

    System Optimization using SAP S/4HANA’s Data Aging

    Reading time: 6 mins

    There 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…
  5. Enabling Data-Driven Enterprises with Data Lakes for SAP

    November 19, 2021

    Today’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…
  6. Building a Winning Culture For Data Analytics Excellence

    Reading time: 4 mins

    A 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…...…
  7. Data Readiness and Preparation for Your SAP S/4HANA Implementation

    To 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…
  8. What’s Your X-Data Strategy?

    Reading time: 4 mins

    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…
  9. Data Can’t Wait: Start Planning Today

    Reading time: 14 mins

    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…
  10. It’s All in the Containers – Unlocking New Business Potential With SAP Data Hub

    Reading time: 1 min

    Access the Q&A transcript to gain an overview of the design considerations and best practices for implementing SAP Data Hub, from Lead Architect Gereon Vey.