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    Synergizing Data Science and Software Engineering Teams

    Reading time: 6 mins

    Due to the nature of their role, data scientists need to collaborate with many different stakeholders and departments. Recently, there has been a lot of focus on the need for data scientists to collaborate with business functions that will leverage the solutions designed by data scientists. While this collaboration aspect is certainly important, a critical…

  2. How to Retain Your Data Science Talent

    By Kumar Singh, Research Director, SAPinsider Attrition in Data Science teams had hit an all-time high prior to the pandemic. And now we are looking at “The Great Resignation”. There is no speculating what type of talent is the most desired (and required) in this digital decade as companies scramble to attract as well as…

  3. How Can Data Science Help Businesses Thrive?

    Reading time: 3 mins

    In today’s climate of economic uncertainty, many firms are looking to reposition and adapt through automation. Investing in robotic process automation (RPA) can help SAP customers reduce bottlenecks and improve workplace efficiency. Bots can automatically perform manual and repetitive tasks, reducing the need for human intervention. However, firms need data scientists to oversee these systems…

  4. Data Science Initiatives

    Why Data Science Initiatives Fail

    Reading time: 1 mins

    The video explains stages of data science failures and identifies stages that may lead to the failure of a data science initiative. This content is for SAPinsider Monthly Subscription, SAPinsider Annual Subscription, and SAPinsider Premium Annual Subscription members only.Log In Join Now

  5. Probabilistic Supply Chain and Demand Forecasting with SAP IBP: Deliver Results Using Data Science

    SAP introduced the concept of Probabilistic Supply Chain into its SAP IBP product in the current and future versions with adaptive and very powerful algorithms for large data sets. Certainly, AI has been around within the SAP landscape for a while with extremely powerful algorithms in the SAP BW-Data Mining suite and SAP HANA PAL…

  6. How Data Science Will Change IT Operations

    With IT working in silos, visibility into operations can be greatly limited. New technology such as machine learning can allow for cross-silo information transfer, enabling IT Operations Analytics (ITOA) to gain a broader view of data. This content is for Basic Access, SAPinsider Monthly Subscription, SAPinsider Annual Subscription, and SAPinsider Premium Annual Subscription members only.Log…

  7. Special Report: Implementing SAP HANA – An End-to-End Perspective

    In this exclusive special report, get an in-depth, step-by-step look at the aspects of implementing BI solutions on SAP HANA. Gain insight into how ETL integrates with SAP HANA and how SAP BusinessObjects BI 4.0 analyzes and visualizes the data stored in SAP HANA. Key Concept SAP HANA modeling is a process whereby a developer…...…

  8. Managing Data with SAP Data Replication and Transformation Tools

    Data and solution integration is becoming one of the most important aspects in enterprise architecture. Learn about the functionalities provided by SAP data replication and transformation solutions and their proper use. Key Concept Modern business solutions often run in a complex enterprise landscape that requires extensive use of data replication and transformation functionality. Tools such…...…

  9. Get Data From Any Table in Another SAP System

    Say you want to get the contents of a table from one of your SAP systems (called the source system) into a current system (called the client system). Most of the time if you want to access the table content of a source system, you need to: Check to see if the content is in…...…

  10. Optimize Data Management in All Phases of Your SAP Implementation

    Poor data management can lead to many problems, from incorrect data, to a lack of integration, to bad analysis. Learn ways an effective data management strategy can help you in your efforts to optimize your system’s performance while increasing your compliance and reducing cost. Key Concept Data management is a critical component of running a…...…