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Explain the architecture of Firstlogic’s Global Data Quality Connector for SAP Systems. »

Integrated at the BASIS/WAS layer, Firstlogic has developed Business Add-Ins (BAdI’s) that can be leveraged with a single instantiation; allowing for all SAP modules that utilize SAP’s Business Address [...]

How does Firstlogic’s Global Data Quality Connector for SAP Systems work? »

Firstlogic’s Global Data Quality Connector is integrated at the BASIS layer and communicates with the SAP Applications via TCP/IP leveraging SAP’s Remote Function Call (RFC) interface. As users make postal [...]

What are the benefits of a data quality solution? »

The biggest benefit is the confidence you have that your data is accurate. A data quality solution also allows you to:
Manage customer data in different formats initially residing in separate databases
Build [...]

How easy is it to maintain Firstlogic’s Global Data Quality Connector for SAP after implementation? »

Ongoing maintenance should be minimal. Once the solution is implemented and configured, typically maintenance will only be required when you receive postal directory updates, upgrade to a new [...]

Will Firstlogic’s Global Data Quality Connector for SAP manage my international data? »

Yes. Built on a global framework capable of validating address information for over 190 countries in a single processing pass, Firstlogic’s Global Data Quality Connector for SAP allows you to [...]

Can I integrate a data quality solution within other software applications? »

Data quality solutions can be fully integrated into CRM, ETL (Extract Transform Load), ERP, or BI solutions and have the advantage of being “seamless” to the end user - reducing the learning curve, as [...]

When and where should I integrate data quality into my SAP Suite of applications or other projects in my enterprise? »

Data quality should be integrated any place where data is entered, loaded, processed, or updated. Data quality should be built into the beginning phases of all Enterprise Resource Planning, Customer [...]

What is data quality? »

Within SAP, data quality is defined as postal validation, duplicate checking, and error tolerant searching. Postal Validation enhances address information by comparing data against address directories provided from local postal authorities around the world. Duplicate Check avoids duplicate entries by scanning the database for potential duplicates before new customer data is committed to the database. [...]