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Information Management & Data Engineering

The success of an enterprise often depends on its ability to utilise assets efficiently. We examine the role of asset information management in improving the effectiveness with which complex assets are utilised. Furthermore, the importance of quantifying the value of information in asset management is underlined, specifically discussing the issue of information quality in asset management.

The intended community responsible for the management and utilisation of information associated with assets. This group typically includes Asset Management, Engineering, Operations, Finance, and IT departments. However, it also recognises that the understanding of asset information management in an asset management context is an emerging discipline and it is therefore written to allow ‘non-practitioners’ to better understand the key features of good practice asset information

Asset information is a combination of data about all kinds of assets used to inform decisions about how they are managed, both for short-term operational purposes and or long-term strategic planning.

Assetegy is a company that specializes in providing Asset Information Strategy, Standards and Data Management services. Their Corporate Information Strategy and Management services cater to the growing need for better management of asset information, regardless of the organization's line of business.

This service is particularly useful for companies where assets are critical to achieving business objectives and delivering effective services. Assetegy offers a range of solutions, including Strategies for Asset Information Management (SAIM) and Enterprise Asset Management System.

Through their services, companies can optimize their asset management, improve service delivery, and achieve greater success.

Asset Information Strategies & Management

Assetegy offers digital transformation and digital twin technology to industrial businesses across various sectors such as manufacturing, agribusiness, Oil and Gas, Rail, Infrastructure, Energy, Power, and Chemical Processing. 

Assetegy support industrial leaders to increase their digital investment, by embracing digital transformation and digital twin technology, so they can revolutionize their operations and achieve unprecedented levels of success. Leveraging a combination of AI, industrial software, and human insight to deliver exceptional performance.

Engineering data is pivotal in creating successful digital twins as it provides the structure for the twin and enables 3D visualization.

Asset Digital transformation and Digital Twin Technology

Assetegy specializes in offering Building Information Modelling (BIM) services that comply with ISO 19650 standards. using various advanced platforms and tools such as Project-Wise and AssetWise ALIM to create digital twins and 3D visualization.

Assetegy makes it easy to capture the physical reality of an infrastructure asset by adding reliable, up-to-date reality data to all projects, creating and share high-quality 3D models or reuse existing site condition data with reality modeling, 3D mapping, photogrammetry, and point-cloud processing software applications.

Assetegy also enables collaboration with a single federated data repository for all projects.

Building Information Modelling "BIM"

Assetegy specializes in modern Data Quality Management (DQM) and Analysis. They offer services that include effective data quality control through various metrics, asset classification, data cleansing, monitoring, profiling, parsing, matching, standardization, and enrichment.

With the help of Information Systems and Decision Models, Assetegy's Data Quality Management can save time and energy by preventing the need to manually reprocess inaccurate data. Low-quality data can hide operational issues and create challenges for regulatory compliance, which Assetegy can help overcome. The company establishes a framework for organizations to follow and supports rules for Data Quality, ensuring that businesses have accurate data that they can rely on.

Asset Data Quality Management "DQM" and Analysis