CEONE

DQMS – AN AUTOMATED SOLUTION FOR PLANT ASSET DATA QUALITY MANAGEMENT

DQMS, a proprietary solution built by Ceone, provides the ability of automatic extraction of Engineering assets data and validation for quality, completeness and integrity of the Information supplied (including the information received from different vendors). DQMS ensures

Consistency of the presentation and format of the information
Integrity of the value and accuracy of information
Information Completeness measuring the existence of project information against the agreed
Timeliness i.e. the availability of up-to-date information whenever required on timely basis

MAINTAINING DATA QUALITY AT EACH STAGE OF THE PROCESS, CALLS FOR A SYSTEMATIC APPROACH TO DATA QUALITY MANAGEMENT.

Process Industry needs solution for data, documents and drawings produced in the Engineering projects to achieve and maintain a high level of quality and meet the needs of information users.

Some of the common Industry Challenges include:

Managing Large Engineering Data (Different EPC vendor’s Databases)
Duplication of Data
Consistency in data management across all engineering phases

Lot of manual efforts in preparing the required data templates/standards

Data Validation on large set of data

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Ensuring Plant Asset Data is accurate, consistent, of good quality and ‘fit for use

Our Solution defines, establishes, implements, monitors and controls the collection, storage, processing and submission of Plant Asset Data to the relevant enterprise Application.

Cloud based User Interface designed for the users to parse, load and validate huge amount of data. It also allows users to manually key in data which shall be stored in the data base directly and processed.

KEY FEATURES

Complete Data Management
Automatic importing huge data objects in a single upload
Maintaining Tag naming standards for the various types of equipment
Validation of data quality against defined levels
Consistency checking as per Engineering standards
Detailed reporting

Value Recognition of Quality Asset Data

Improved Return on Investment (ROI)
Reduced Asset Data Management workflow redundancies
Streamlined Asset Data Distribution

Smarter and more sophisticated risk management
Allows to focus on core competencies and not feel the need to create shadow data