Making Confident Decisions Based on Trusted Data with Precisely

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  1. Data Quality Strategies for mySAP CRM

    SAPexpert/CRMMany companies starting CRM initiatives are not satisfied with the resulting customer views, citing distrust of the data in their systems. Data quality strategies help you resolve data issues that distort customer views. Find out tips for preparing, blueprinting, and implementing a solid data quality strategy. Key Concept Identifying inconsistencies and anomalies in your data…...…
  2. Create a Web Service with SAP BusinessObjects Data Service to Deliver Real-Time Data Quality

    Learn how to create a real-time data quality Web service to deliver accurate and reliable customer data. Explore time-saving tips and tricks for developing a flexible data flow that any application can use to cleanse and standardize data and for configuring an SAP BusinessObjects Data Services server. Key Concept The data quality engine on the…...…
  3. Role of Data Quality in Supply Chain Digital Transformation

    Quality Data Lays the Foundation As supply chains become increasingly complex, so does the associated data landscape. Millions of data points must be managed in modern supply chains today due to the wide gamut of systems used. From Enterprise resource planning (ERP) systems that manage an organization’s basic processes to customer relationship process (CRM) systems…...…
  4. Enhance Data Quality in Real Time Using SAP Data Quality Management Software

    SAP Data Quality Management software is a data quality application that enables you to detect and correct master data errors and inconsistencies. Despite its ease of use, its ability to do basic, yet key, validations such as address validations and duplicate checks is not widely known in the industry. Therefore, the application is not widely…...…
  5. Live from SAPinsider Studio: Anurag Barua on Data Quality for the Digital Enterprise

    Independent consultant and longtime SAP technologist Anurag Barua joins SAPinsider Studio at the BI-HANA 2016 event to discuss data quality for the digital enterprise, including the role of SAP Data Services and SAP Information Steward. Topics of this discussion include the material impact of poor data quality, how a transition to a digital core and…...…
  6. Information Management Options in SAP HANA: Smart Data Quality

    SAP HANA has features to both manage data and improve data quality that many SAP users might not know exist. These new options offer real-time transformational possibilities that were unthinkable until recently. Learn about the tools you can use to cleanse, match, or enhance data in real time with Smart Data Quality. Key Concept Many…...…
  7. 7 Principles for Creating Organizational Commitment to EDW Data Quality

    SAPxperts/BIIncluding a data validation process as part of your SAP BW or SAP NetWeaver BI implementation helps you find problems in your data more quickly and lends credibility to your data. Learn how to optimize your data validation effort with seven important principles. Key Concept Validation is a process that checks incoming data in your…...…
  8. 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…...…
  9. 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…...…
  10. 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…...…