Enterprise Integration
Integration of data sources is key to unlocking asset potential.
The reality for many organisations is that asset management functions rely on many different information systems that have evolved over time. This can mean that pockets of data and functionality reside in different applications across the business.
In this environment, productivity and quality improvements hit their limit when sharing data between those applications is restricted by a daily manual export/import routine or common data elements are required in different formats in different systems. Business Intelligence reporting goes some way to addressing data visualisation, but does not address the issue of creating actionable data in the systems of record.
COSOL works closely with our customers to eliminate data silos, bringing together multiple technology-agnostic systems and capabilities in solutions that are suited to their enterprise asset management needs. We do this by leveraging Enterprise Integration technologies (such as FME and webMethods) to ensure current, accurate information is readily available when and where it is required to support asset management functions.
Examples of how Enterprise Integration has helped our customers:
Leveraging IoT Data to Inform Maintenance Schedules
Through enterprise integration, a logistics client was able to leverage IoT data. This data was residing within existing In-Vehicle Monitoring Systems (IVMS) and Engine Control Modules (ECM) to inform maintenance scheduling based on utilisation or condition, analysis of fuel burn ratios for asset performance and tyre usage metrics for contract reporting.
Drawing On Historic SCADA Data To Inform Replacement Strategies
Through enterprise integration, a water utility was able to collate and analyse historical SCADA data to inform asset maintenance and replacement strategies, monitor water quality and enable billable services.
Automating SMS Alerts Of Upcoming Works
A water utility was able to harness SMS alerts to notify customers of planned and emergency service outages as well as high service usage through the integration of customer, GIS and works management systems.
Improving Staff On And Off-Boarding Processes
Staff on-boarding and off-boarding between HR, Learning Management and Operational systems was easily orchestrated and actioned.
COMMON DATA MODEL
Ensure all components of the asset ecosystem, such as entities, attributes, domains and relationships, remain consistent.
HOLISTIC VIEW
Eliminate data silos to create a holistic view of assets and maintenance operations.
PRODUCTIVITY GAINS
Automate tasks that would otherwise rely on manual data loads for efficiency gains while also reducing risks and improving quality.
OPERATIONAL AWARENESS
Bring data together to visualise patterns, relationships and alerts for improved real-time decision-making and a safer working environment.