Data management with asset inspection program

In the digital world, enterprises perform a lot of asset inspections with the help of tools like drones, mobiles, and IoT sensors to capture vast amount of visual data. On the other hand, enterprises often face the challenge to effectively manage and process the unstructured data. Effective management is essential to identify the emerging conditions, streamline maintenance, inspection process, and develop digital models that are necessary to optimize your upcoming business operations.

Intelligent management of this visual data is becoming an initial problem among enterprises that experience asset inspections. The assets have a critical nature and it’s significant to ensure quality and safety with timely remediation of asset integrity issues. Data management is accomplished in a standardized and accurate way that supports business insights for a successful inspection program.

In the current scenario, most of the enterprises rely on legacy forms of data storage, which can be a hindrance in management and digital transformation of this data.

Some of the hurdles include,

  • When faced with the volume of data for each asset, companies utilize the strategic folders along with the non-standardized naming system, making it difficult for enterprise wise collaboration and wide usage.
  • Large volume of unstructured visual data becomes static and non-relational structure become unmanageable that results in wasted insights.
  • While many users are accessing the static data, some find it difficult to manually duplicate into another folder. Such creation of data silos across enterprise quickly loses meaningful intelligence.

Since, massive business intelligence can be derived from asset inspection data, it’s critical to manage those insights that can be extracted, analyzed, and correlated through metadata along with visual imagery and videos. This business intelligence reveals the dynamic reality of infrastructure, critical assets, and material assessment.

The business insights provide ability for near-time and visual analysis, answering the following queries,

  • What is the condition?
  • What is the relationship to other assets?
  • What is the necessary action for this asset?
  • What are the attributes namely location, anomalies, and other information?

Finding answers to these queries is the core of critical workflows for different industries that include risk assessment, asset performance management and enterprise business intelligence systems. Anyways, with the help of unified visual data management solution, most of the organizations find the process of answering these questions to be expensive, labor intensive, and provide little value to other parts of the organization.

The information present in visual imagery such as images and videos are universal, when transformed into a standardized data matrix, it’s structured and searchable. When this visual data is managed properly, it can yield incredible insights.

Some of the benefits include,

  • Ability to monitor and benchmark assets
  • Enabling the infusion of AI computer vision and analytics to detect issues
  • Data correlation allows enterprises to bring the field back to empower stakeholders to make better decisions, increase efficiency and operational agility.

Summing up, having a unified visual data management platform enables visual data with 360 degree visibility into asset inspection and maintenance needs. This allows you to transform data chaos into actionable insights, improving efficiency and safety at all scales.



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