Blog - Data Integrity

The Geonexus Integration Platform can be configured to manage integrated data during an asset swap, an essential process for utilities but one that many integration solutions are not able to handle.

According to Gartner, organizations found that poor data quality results in $15 million per year of losses. Don’t let bad data derail your organization. Discover how your organization can eliminate the hidden costs of bad data.

What is the biggest challenge when looking to integrate two systems? In a recent poll of IBM Maximo and GIS users, 48% of respondents cited “Technical Challenges” as their biggest obstacle when planning and executing a GIS and Maximo Integration.

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?

For utilities, the integrity of enterprise data is critical at every level of the organization, and data integration across enterprise systems is vital for boosting data integrity.

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.