Common Challenges in Asset Data Management
Once an asset enters operations, data is rarely maintained with the same discipline as during the design/build phase. Over time data quality declines and information becomes scattered across sites and systems, making it difficult to locate or utilize with confidence.
Compounding Information Debt
Poor-quality or missing data introduces cumulative risks. Downtime increases, compliance suffers, regulatory challenges increase and operations become more reactive than proactive. These challenges grow as assets age, eroding performance and limiting the organization’s ability to scale digital capabilities. This raises the total cost of ownership and weakens any organization’s ability to adapt.
Undermined Digital Initiatives
Even the most capable platforms can’t deliver value without usable data. When legacy information is inaccurate or incomplete, new systems lack credibility, users lose trust and adoption falters. Without high-quality data, AI tools and analytics cannot generate meaningful insights, in turn undermining efforts to modernize.
Data Gaps in Asset Management
Managing facilities without reliable data makes it difficult to enforce standards or track asset history. Without this context, strategic planning stalls and maintenance efforts become harder to prioritize or justify. The lack of visibility into asset conditions disrupts performance monitoring and hinders data-driven decision-making.
Disconnected & Inaccessible Information
Legacy documents and records are frequently stored across incompatible systems and formats. This makes it difficult for teams to locate the information they need, which slows workflows on actions in the facilities and limits insight into asset conditions.
Improving Data Readiness Through Intelligence
Since 2001, ReVisionz has helped asset-intensive organizations resolve legacy data challenges that limit operational performance and digital progress. Our domain experts and data scientists apply AI, machine learning and natural language processing to assess and enrich asset information from any source, which improves completeness and usability.
We build business capability-driven roadmaps that transform disconnected legacy records into trusted, contextual data that supports safe operations and more effective asset management. By uncovering what’s valuable and aligning enriched data with current facility needs, we help teams gain the insights they need to make proactive, data-driven decisions across the lifecycle.
Make Legacy Data Work for Your Operations
Tag, Metadata & Data Extraction
To collate and improve your data, we:
- Use AI and machine learning to analyze documents and identify tags, metadata and asset-specific information.
- Apply extraction rules that automatically isolate and organize relevant data elements for structured use.
- Contextualize extracted data to align with business needs and support downstream applications.
Data Consistency & Auditing
We deploy our high-level experience to:
- Compare documents and data sets to reveal inconsistencies, overlaps or redundancies across systems.
- Audit data quality and structure to determine gaps and verify completeness.
- Identify duplicates and discrepancies that may impact performance, compliance or usability.
Metadata Identification
With our subject-matter expertise and Natural Language Processing (NLP) capabilities, we have the know-how to:
- Detect and isolate key metadata such as document identifiers, asset tags and operational keywords.
- Classify metadata into structured formats to improve searchability and governance.
- Integrate enriched metadata into centralized platforms to improve access.
Data Transformation, Migration & Intelligizing
We add intelligence to legacy data so it becomes usable across modern systems by:
- Developing structured templates and business-aligned migration rules based on facility-specific needs.
- Migrating asset data and documents into target systems, with progress tracked through a dedicated dashboard.
- Validating URLs and reference points to preserve link integrity and ensure post-migration usability.
- Preparing data for advanced analytics, AI tools and insights platforms by improving its structure and reliability.
Change Enablement & Training
The success of your legacy information modernization is directly tied to people embracing and adopting your new solution. Successful transformations require a strategy for the technological, organizational and individual impacts of related changes.
ReVisionz integrates client-customized change enablement and training in all our services to help you achieve the intended outcomes for your assets and prepare your organization to maximize value delivery from your projects.
The success of your legacy information modernization is directly tied to people embracing and adopting your new solution. Successful transformations require a strategy for the technological, organizational and individual impacts of related changes.
ReVisionz integrates client-customized change enablement and training in all our services to help you achieve the intended outcomes for your assets and prepare your organization to maximize value delivery from your projects.
Effective & Actionable Change
Our approach to change management is based on the PROSCI industry model. We adapted the model to increase the effectiveness of asset and process safety information management transformations across your site or enterprise. It considers change management from the perspective of four key levers:
Leadership & Ownership
Establishing alignment of leaders and teams, alignment of roles with capabilities and expectations, and defined ownership.
Communication
Sharing the vision, the business case, the plan, and the expected outcomes.
Knowledge Transfer & Training
Developing and delivering training to build sustainable skills and capabilities.
Business Readiness & Measurement
Understanding organizational impacts, assessing and enabling readiness, and measuring progress and risk.
consult with an expert
