Precog’s AI-powered, no-code data integration for SAP

511 results

  1. How to Limit SAP BW HANA Processes from Consuming All Available SAP HANA Memory

    Get a detailed guide for protecting your SAP Business Warehouse (SAP BW) powered by SAP HANA system by using memory safety belt settings. SAP HANA parameters (mostly unknown) offer a lot of valuable entries to protect your system from manually created or defect-generated memory problems. Discover how to use the memory limit parameter to restrict...…

  2. Secrets to Successful Data Conversions

    Converting data from a legacy system to an SAP system can be a daunting task. Follow experienced advice for planning and executing your data conversion strategy, from developing project scope to testing and monitoring the data conversion. Included with these tips are two downloads: a sample Microsoft Visio data dependency planning chart and a conversion...…

  3. Die Digitalisierung ist der Schlüssel zur SAP-Modernisierung

    Die Umstellung auf die Cloud ist vielleicht das wichtigste Thema in der aktuellen Unternehmenslandschaft. Die meisten Unternehmensleiter haben zumindest eine digitale Transformation in Erwägung gezogen – wenn sie nicht bereits im Gange ist. Diejenigen, die in der Technologiebranche tätig sind, haben zweifellos schon von den Vorteilen gehört, die ein Wechsel zu SAP S/4HANA mit sich…

  4. Automate Data Loading in SAP BusinessObjects Planning and Consolidation 7.5

    /BILearn a data loading automation solution for SAP BusinessObjects Planning and Consolidation, version for SAP NetWeaver. With this solution, business users can start and finish data loading by themselves by clicking a couple of buttons in the SAP BusinessObjects Planning and Consolidation client interface and save the loaded data in a different version. Key Concept...…

  5. Identify Failed Data Loads with This Check Tool

    Dealing with data load failure is an inevitable part of BW support team members’ jobs. Expedite the way you check for data loads using this standardized process. Key Concept Daily and monthly loads fail from time to time. If you have no process in place to identify these failures at the time of failure, then...…

  6. What is AI for data integration? And why does it matter?

    Since our founding in early 2020, Precog has had a single vision: using AI and ML to solve the problem of creating ELT connectors to any and every API. We have realized this vision entirely, and the market is taking note. The following blog describes how we did it.

  7. Centralize and Simplify SAP Solution Maintenance Across Your System Landscape with the Maintenance Optimizer — An

    Manager SAPexperts/IT Keeping your SAP solutions up-to-date across development, test, and production landscapes is a daunting task, and the growing number of applications, functionalities, and integrated technologies only adds to the challenge. SAP Solution Manager 4.0 introduces the Maintenance Optimizer, a tool that centralizes and simplifies solution maintenance across your entire landscape — it detects...…

  8. Load Time Data from an External System Into CATS with Ease

    Learn how to avoid problems when you import time data from a spreadsheet or external systems into the Cross-Application Time Sheet. Selecting the best method to develop an interface is the key to success. Key Concept Cross-Application Time Sheet (CATS) is a standard SAP transaction that allows users to capture time data for multiple SAP...…

  9. Customize SNP Interactive Planning to Better Display Critical Conditions

    You can modify the standard Supply Network Planning (SNP) interactive planning page to better support end users. Here’s how to improve the way that data is displayed so that users can quickly identify critical conditions. Key Concept The interactive planning table in SNP is the primary interface planners use to monitor their supply chains. It...…

  10. cloud

    Splunk’s Data Platform Drives Enterprise Resilience

    Reading time: 8 mins

    Organizations are recognizing that their traditional methods of monitoring and resolving issues are inadequate for the increasingly intricate cloud environment and that they need to reevaluate their management strategies across diverse environments and establish a robust data infrastructure as a foundation for progress. Proactive issue prevention, swift incident recovery and agile adaptation, made more efficient…