Blog - Data Integration

Data quality drives the reliability of data-driven decisions and is therefore paramount to any organization, particularly asset-intensive organizations. Read about three ways that enterprise system integration can help improve data quality.

Learn about the Geonexus brand evolution and renewed focus on system integration and data quality for asset-intensive organizations.

Integrating SAP and ArcGIS can be challenging. Many organizations spend millions of dollars on integration and still fail to capture business value from their investment. However, with the right tools and leadership, an organization can get value quickly.

Data integrity is something we talk about a lot. But what is data integrity, and why should you and your organization care about it? What is Data Integrity? We should probably start with a definition of Data Integrity, so we are all speaking the same language.

What is Enterprise Data Integrity? The definition of enterprise data integrity is the consistency and accuracy of common data across multiple enterprise systems. The key questions being, do you trust your data of critical decision-making?

A few weeks ago at the first-ever virtual Esri User Conference, Jack Dangermond talked about how GIS is “Interconnecting Our World.” This statement has never been truer.

GeoNexus is often categorized as an ESB because it provides a platform for system integration. However, this is a common misconception that we look to clarify in today’s blog.

At asset intensive organizations, data is shared across multiple utility business systems. For each system, the data must reside in the application’s native database to support its functionality.

Users want to know what is happening to their enterprise data as it moves between multiple systems to ensure its integrity. With many solutions, this transparency is lacking or non-existent. Geonexus is an exception.