View profiling for technical assets - Precisely Data Integrity Suite

Data Integrity Suite
Product
Spatial_Analytics
Data_Integration
Data_Enrichment
Data_Governance
Precisely_Data_Integrity_Suite
geo_addressing_1
Data_Observability
Data_Quality
dis_core_foundation
Services
Spatial Analytics
Data Integration
Data Enrichment
Data Governance
Geo Addressing
Data Observability
Data Quality
Core Foundation
ft:title
Data Integrity Suite
ft:locale
en-US
PublicationType
pt_product_guide
copyrightfirst
2000
copyrightlast
2026

Profiling helps you understand data structures and schemas to manage integrations and data architecture, identify and resolve data quality issues such as duplicates and inconsistencies, and optimize storage and performance by archiving or deleting unused data. View detailed analysis of data structure, metadata, relationships, and quality within databases, data warehouses, and big data platforms.

To view profiling for a technical asset:

  1. Go to Catalog > Technical Assets to view all configured technical asset types with their details and asset counts.
    What's changed: In the new user experience, the Technical Assets page appears as Technical. For more information on the new experience, see About the new user experience.
  2. Select an asset type to view all assets in that category.
  3. Access profiling information in one of two ways:
    • Use the Profiling side panel: The panel appears automatically when profiling data is available.
      • Toggle the panel's visibility using the hide and Profiling buttons.
      • The panel displays the asset's name, type, and categories with up to five entries each.
      • Select Show more to view additional entries. Empty categories do not display.
    • Go to the Profile page: Select an asset to open its Details page, then select the Profile page.

Profiling categories

Profiling includes these categories. Only profileSetDate is required in the API.

Sample summary

Field Description Source
Effective Date Date of the latest profiling information for the asset. profileSetDate
Total Row Count Total number of rows in the data set. totalCount
Sample Row Count Number of profiled rows and percentage of total count. sampleCount
Base Type Type of data. type
Type Confidence Confidence level as a percentage that profiling results accurately reflect the data type. Displayed with two decimal places (for example, 0.9753 displays as 97.53%). confidence

Sample quality

Next to each calculated percentage, there is a tooltip that displays the percentage relative to a total. This total can vary, such as the total of the sample or the total of valid entries.

Field Description Source
Quality bar A horizontal bar showing counts of valid (green), invalid values or outliers (red), and null or blank (gray) rows.
Valid

Counts and percentages of valid values based on Type or Semantic Type. Percentage is Valid Count divided by Sample Count.

Distinct: Number of unique valid values.
Note: During onboarding, a maximum of 12,000 distinct values is captured for profiling to focus on the most relevant data points.
 matchCount

cardinality
Invalid values or outliers Counts and percentages of invalid or outlier values. Percentage is Invalid values or outliers Count divided by Sample Count. outlierCount
Null or Blank Counts and percentages of null or blank entries. Percentage is Not Populated Count divided by Sample Count. nullCount + blankCount

Sample distribution

The bar chart illustrates the distribution of samples based on their data type:

  • Date or Time: Distribution across various time points.
  • String: Distribution by string values.
  • Number: Range distribution with standard deviation and mean.
  • Boolean: True or false values.

Top values, bottom values, invalid values or outliers, and shapes

These categories display as bar charts showing values, counts, and percentages (calculated as value count divided by total samples). They appear only when data is available.

  • Top values: Derived from topK with counts in cardinalityDetail.
  • Bottom values: Derived from bottomK with counts in cardinalityDetail.
  • Invalid or outlier values: Values and counts detailed in outlierDetail.
  • Shapes: Values and counts detailed in shapesDetail.
Note: Top and bottom sample sets preserve their received order. Numerical values are sorted by key: top values descending, bottom values ascending.

Statistics

Statistics availability depends on data type. For example, boolean data displays only Blank Count, Null Count, and Validation Regular Expression when available.

Label Source
Null Count nullCount
Blank Count blankCount
Minimum Value min
Maximum Value max
Minimum Length minLength
Maximum Length maxLength
Mean mean
Standard Deviation standardDeviation
Multiline multiline
Leading Whitespace leadingWhiteSpace
Trailing Whitespace trailingWhiteSpace
Leading Zero Count leadingZeroCount
Validation Regular Expression regExp

View time-series chart

View recorded data values over a specified time period for the selected field, such as Type Confidence.

  1. Go to Catalog > Fields and select a field with profiling data.
  2. Select the Profile page. An information box about trend indicators appears.
  3. Select the X to close the message. It will not appear again.
  4. Select a trend indicator to display the time series.
    • Trend indicators compare the last two entries and display only when multiple points exist.
    • Selecting a trend indicator shows the time series chart in the Profiling panel.
    • Chart axes adjust automatically based on date range and field type.

    • Trend indicators display as:

      • Upwards triangle: Current value is greater than the previous date.
      • Downwards triangle: Current value is less than the previous date.
      • Diamond: Current value equals the previous date.
  5. Review each point on the chart, which represents a profiling run with its date, time, and result value.
    Chart Displays: Charts display one or more lines depending on what you selected. For example, the Sample Quality bar shows up to three lines, while a trend indicator shows one. Lines use field-specific colors (Valid displays green, Invalid values or outliers display red). Fields without assigned colors default to dark gray.
  6. Specify the time period by selecting a date range from the upper right corner or dragging the slider bar.
    • Custom: Disabled.
    • View 1 Month: Default.
    • View 3 Months
    • View 6 Months
    • View Year To Date
    • View All: Displays one year of data (maximum allowed).
    Note: If less than one month of data is available, only View Year To Date is enabled. Inapplicable options are disabled.
  7. Select any other trend indicator to update the chart.

    • Slider Bar, Dates, and Calendars: Move the slider beneath the chart to select dates and update the view to Custom.

    • Select dates at the top right to select new dates from a calendar.

Configure selective profiling

Selective profiling lets you configure the Profile Level field to control profiling at the asset level. This enables targeted profiling and optimizes performance.
  1. Go to Catalog > Datasets.
    Tip: This applies to other asset levels (database, schema, field). Configure profiling at each level.
  2. Select the asset to open its Details page.
  3. Select Edit to open the Edit Asset screen.
  4. Set Profile Level to 0. Values set at higher levels (database) automatically apply to subordinate levels (schema, dataset, field).
  5. Select Save to apply the changes.
After saving, cataloging continues but profiling is disabled. Confirm by checking that no new profiling statistics are generated. Only a Profile Level value of 0 disables profiling.