Tag Data Validator

Ensure Data Integrity with EMI TDV: Validate, Identify, and Analyze Data Flow for Reliable Reporting!

Elevate Data Integrity with Precision Insights

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TDV gives you the ability to validate your Data flow and mark out bad or questionable values so that other reporting applications can filter out unreliable data.  The tool also provides a set of HTML5 interactive dashboards to pinpoint and analyze the locations and sources of bad data, giving users more insight into the authenticity of their data.

Level monitoring bubble chart

Showing the magnitude of issues distributed among their physical locations and level of issues. Three bar charts also show the distribution of issues across the first three levels.

Data Reliability KPI

Showing the overall data reliability KPI with error location and details chart, and showing details charts with the ability to drill down, group and export data

Node status chart

Showing the Elements statuses, with the ability to drill down from the highest level all the way to the tag level.

Tags Reliability Heat Map View

Showing the reliability of the data over time, which can be used by the users to select the best period to conduct their studies.

Color Legend
Good Value  Quality Issue  Not Available 

How does TDV excel in data quality?

TDV offers a set of sophisticated functionalities that are extremely useful in fault detection and root cause analysis

Through Validation

By Capturing and Validating each and every value received by the PI Server against a set of provided quality check rules

Data flagging

By flagging the values that do not pass the quality in the PI Data Archive

 

Take Control of Your Data – Try EMI TDV Today!

Gain full control over your data quality with EMI TDV. Try it now to see how you can easily validate and analyze your data for better decision-making
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TDV strengthens your data's reliability by using advanced validation techniques and providing in-depth analysis through intuitive dashboards, ensuring data authenticity

Features

Data cleansing service to mark un-trustful real-time data as questionable  directly in the PI Data Archive
Annotated questionable values in the PI data archive with the reason of marking
Calculate hourly averages for equipment or assets excluding bad and  questionable values
Real time synchronization of your AF database with your relational data store (SQL, Oracle, MongoDB)
Backfilling tools
Real-time HTML5 charts with zooming and panning support
Extra fast data retrieval by MongoDB
Charts that support exporting, annotating and printing
System exposed as rest services for third party integration

Flagged data include

Below range values: Values that are below the "Zero" of the tag
Above range values: Values that are above the ("Zero" + "Span") of the tag
Frozen values: Values that get the same reading for more than a predefined number of times
Noisy values: Values whose standard deviation over a predefined period is
larger than a configured threshold
System default error: Values that are in "System Default Errors" digital state
Null values: String tags that receive empty string values

Solution areas

Alarms & Events Management
Content Management
Asset Performance
Data Conditioning & Data Analysis

Data Quality Issues

Having Data Quality Issues?

Data Management Technology Advancement 
Focused on the containers we put data in, very robust databases and Historians (SQL, Oracle, PI Server, etc..)

Data Quality Technology Stagnation 
Lagged these other areas. The lack of managing the content is now beginning to emerge as a major problem

What Corporations Believe
Most corporations believe that their data is good enough, They could be missing an opportunity to improve their overall efficiency to bring more dollars to the bottom line