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PBS Nearline Analytic Infrastructure (NAI):

Analysis and Management of Operational Data

If your SAP system is overloaded with large volumes of data, or if you run SAP systems no longer used productively, PBS NAI is the perfect solution for you.Smart data management with NAI lets you transfer data from various sources to the analytic NAI database and perform integrated analytics with the SAP application.

The following data sources are supported: SAP production database, SAP archives, data from legacy SAP systems, and external data. You can analyze all NAI data extremely rapidly from the SAP GUI via transactions, reports, or generic queries. This delivers optimum support for data migration to SAP S/4HANA, decommissioning of legacy SAP systems, data archiving, and GDPR.

Analytics Without Limits

Precise analysis of all your business information yields insightful knowledge you can leverage to advance your business.With PBS NAI, you can perform any analyses of your SAP environment. At the same time, PBS NAI lets you integrate increasingly important non-SAP data. Data is stored and processed in the NAI database, which can perform analytics processes at extremely high speeds. The stand-out advantage: Analytics do not affect the load on your SAP database.
PBS NAI can be implemented irrespective of the SAP database system (AnyDB or SAP HANA) or ERP version (SAP Business Suite or SAP S/4HANA) you run.

The Solution for Big Data in Retail

Highlights

  • Smart analysis of SAP and non-SAP data

  • Support for migration to SAP S/4HANA

  • Extremely short response times thanks to column-based database technology

  • Improved compliance and data governance (GDPR)

  • Significant cost savings thanks to smart data management

Business Case from Practice

Financial Controlling / Data Consolidation

One of the largest German retailers relies on PBS Nearline Analytic Infrastructure (NAI) for their financial controlling.The enormous volume involved here in the analytical ad hoc analyses amounts to around 6.3 billion FI lines. With the help of the Data Replication Service integrated in NAI, database and archive data is replicated in the NAI analysis database and evaluated together. Without the Nearline Analytic Infrastructure, a detailed evaluation is either impossible, or only possible with extremely long runtimes over several days. The quality of the solution is convincing: The query results are generated and made available within seconds.

Business Case from Practice

Cash Register Receipts

In the business scenario “cash register receipts” no less than 5,000 supermarkets with more than 25,000 active cash tills are taken into consideration. The bottom line is that this means the evaluation of several billion cash register receipts. The POS data is available exclusively as non-SAP data. With the help of the NAI External Data Services, the cash receipts are imported into the NAI analysis database and are enriched at the same time with SAP data. As a result, comprehensive market analyses – such as the determination of top sellers – can be done without any problem at the touch of a button.

Practical Example

Distributed Systems

Large enterprises often face the challenge that completely different SAP systems with different applications and release status run next to one another in their system landscape. Through consolidation, the operating costs can be reduced considerably. The technology enables system decommissioning scenarios to be represented. PBS Nearline Analytic Infrastructure (NAI) creates the basis for this consolidation. Several SAP systems are connected to a central NAI analysis database. Data from all connected SAP systems is replicated in the analysis database. The evaluation of the data is performed in a leading system. In this system, queries can be made on the data of the connected (legacy) systems.

PBS Nearline Analytic Infrastructure


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Contact

  • PBS Software GmbH
  • Schwanheimer Strasse 144 A
  • 64625 Bensheim
  • Germany
  • Phone: +49 6251 174-0
  • Fax: +49 6251 174-174

Support/PBS Hotline

You can contact us Monday to Friday from 08:00 to 18:00.

Phone: +49 6251 174-110
Fax: +49 6251 174-174
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