Blog - Data Integration

Why should your customers care about the data your teams use to make decisions and how consistent it is across your various systems? The simple answer is because consistent data means a quicker resolution to their problem.

Are you getting the full value of your mobile solution investments? Learn how GIS and Maximo integration can help. To enable the full value of mobile investments, establishing a reliable integration is critical.

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? And does your data line up from one system to another?

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.

GeoWorx Sync 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. These systems include: Geographic Information Systems (GIS), Enterprise Asset Management (EAM), Customer Information Systems (CIS), Outage Management Systems (OMS), and Distribution Management Systems (DMS). For each system, the data must reside in the application’s native database to support its functionality.