SAP Data Strategy


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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.

14 results

  1. 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…
  2. Enabling Data-Driven Enterprises with Data Lakes for SAP

    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…
  3. 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…...…
  4. Modern Data Analytics Guide: 7 Ways to Accelerate Business Insights

    Reading time: 1 min

    In the face of today’s and tomorrow’s challenges, does your organization have the data analytics tools it needs for people to get to the right insights? How can you help them make the best possible decisions and drive a competitive edge? Whether you’re a BI leader, business analyst, IT manager, or someone new to data,…
  5. 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…
  6. 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…
  7. 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…
  8. It’s All in the Containers – Unlocking New Business Potential With SAP Data Hub

    Reading time: 0 min

    An exclusive Q&A with Central Finance Bootcamp speaker David Dixon.
  9. An Introduction to SAP Data Hub

    Reading time: 11 mins

    Marc Hartz, SAP Data Hub Product Manager, joins SAPinsider for a podcast to discuss SAP’s new DataOps management solution. Topics covered include features and functionality, use cases, and how SAP Data Hub eases the challenge of orchestrating and monitoring data across enterprise systems and distributed data systems. Below is a lightly edited transcript of the…...…
  10. Navigate the Complexities of Big Data with SAP Vora

    Reading time: 27 mins

    Q&A with Dolphin Experts on Crafting a Successful Information Management Strategy This content is available to (General or Premium) members. Sign in or Join for free! Sign In Become a Member
  11. SAP Capture Solutions: The First Step in Digital Transformation

    Reading time: 23 mins

    Q&A with Dolphin Experts on Crafting a Successful Information Management Strategy This content is available to (General or Premium) members. Sign in or Join for free! Sign In Become a Member
  12. Are Your Data Uploading Processes Slowing You Down?

    Reading time: 2 mins

    As the need for more timely and accurate financial data continues to grow, many organizations are looking for ways to automate and streamline their data uploading practices. The learning curve for new technology can often be challenging, however, and can create resistance to change. This article shows how to automate data uploading in SAP landscapes…
  13. Merck Focuses on Data-Driven Platform Strategy

    Reading time: 7 mins

    Merck & Co., one of the world’s largest healthcare companies, has seen its data explode since it first implemented SAP Business Warehouse (SAP BW) on a third-party database that started to struggle as Merck’s massive data volumes hit the 15TB mark. To enable deep analytics insights and real-time access to all its growing data, Merck…
  14. How Carlisle Companies Reconstructed Its SAP System and Scaled Its Massive Data

    Reading time: 0 min

    As a diversified manufacturer and leading supplier of premium building products, Carlisle Construction Materials meets the demands of two all-encompassing markets: residential and commercial. The company manages its product lines and services through its complex SAP ecosystem. Due to the company’s rapid development, multiple customer channels, and diverse offerings, Carlisle processes massive data daily. Read…