Data Integration for Supply Chain Planning Software - Arkieva

Data Integration for our Supply Chain Planning Solutions

Arkieva Integration

Today’s client environment has a vast selection of enterprise systems, some of which include, but are not limited to ERP, MES, various Data Marts, CRM and/or TPM systems, etc. Because Arkieva uses a Microsoft SQL Server as its data backbone, it is able to integrate and exchange data with a variety of these enterprise systems. Arkieva has yet to run into a system with which we could not integrate and exchange data.

One commonly used is an enterprise resource planning (ERP) software.

An integral task to supply chain planning is the ability to import and export data across these data sources. To bring more value to our clients and accomplish this integral task of supply chain planning, Arkieva has a proprietary Data Connector for a better-integrated process across more client enterprise systems including ERP systems.

The Arkieva Data Connector stages the data from other enterprise systems into an intermediate database, then moves it to an Arkieva database via pre-built procedures and jobs. The integrated data is then staged in dedicated, pre-defined databases. These databases, together with the standard data mappings between the external systems and Arkieva, are defined as integration templates. Since system installations can be different and customized across clients, the templates are open to enhancement to fit the client’s specific needs.

At Arkieva, we realize integration does not only apply to an enterprise system backend, but also to the client’s desktop. We are able to bring further integration to our clients’ desktop systems, making it possible for a client to export data easily to Microsoft Excel, PowerPoint and Adobe Acrobat to be saved as a PDF file. This allows for more comprehensive and collaborative planning across a client’s entire business, not just the people using Arkieva software solutions.

Using Arkieva Integration, a client is able to better utilize the data from a variety of incumbent systems, paving the way for more accurate supply chain planning.

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