Essential ArcGIS Pro tools that simplify data migration, QA, and enterprise GIS workflows.

 πŸ”Ή Automation Tip (Very Important): Copy Python Command  

    πŸ” What this feature is

Every ArcGIS Pro geoprocessing tool has Copy Python Command.
It converts your tool configuration into ready-to-use arcpy code.

   

🧠 Why these matters (simple)

Instead of running tools manually:

  • You reuse Python
  • You automate migrations
  • You run tools for multiple datasets
  • You keep scripts for audits

πŸ“Έ Screenshot callout
Highlight:

  • Tool dialog
  • Hamburger menu (≡)
  • Copy Python Command


πŸš€ 7 Underrated ArcGIS Pro Tools Every Enterprise GIS Team Relies On for Accurate, Reliable Data

Audience: GIS Engineers | Data Migration Teams | Enterprise GIS | Utility GIS
Platform: ArcGIS Pro



πŸ”Ή
1. Detect Feature Changes

Best for: Migration QA, version comparison

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πŸ” What it does

Compares Old vs New feature class and finds:

  • Added
  • Deleted
  • Modified features

🧠 Simple example

Previous data (before migration):
100 pipelines

After migration:
Still 100 pipelines
But 2 moved, 1 deleted, 1 added

πŸ‘‰ Tool shows exactly what changed

πŸ“Œ Like comparing two Excel files and highlighting changed rows.

πŸ§‘‍πŸ’» Copy Python Command (Example)

arcpy.management.DetectFeatureChanges(

    "Pipelines_Old",

    "Pipelines_New",

    "Pipeline_Change_Output"

)

πŸ“Έ Screenshot callout

  • Old dataset
  • New dataset
  • Output table (ChangeType column)

πŸ‘” Manager line
“Confirms nothing important was lost or changed during migration.”


πŸ”Ή 2. Find Identical

Best for: Duplicate detection (attributes + geometry)

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A screenshot of a computer

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🧠 Simple example

Previous data:

  • Same pipeline stored twice
  • Same location, same shape

πŸ‘‰ Tool identifies duplicates automatically.

πŸ“Œ Like Excel’s “Remove Duplicates”, but for spatial data.

πŸ§‘‍πŸ’» Copy Python Command

arcpy.management.FindIdentical(

    "Pipeline",

    "Duplicate_Pipelines",

    ["Shape", "AssetID"],

    output_record_option="ONLY_DUPLICATES"

)

πŸ“Έ Screenshot callout

  • Fields used
  • Shape selected
  • Duplicate count

πŸ‘” Manager line
“Removes duplicate records that inflate counts and reports.”


πŸ”Ή 3. Repair Geometry

Best for: Fixing broken shapes

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🧠 Simple example

Previous data:

  • Pipeline exists
  • Cannot be selected
  • Fails spatial join

πŸ‘‰ Geometry is broken → tool repairs it.

πŸ“Œ Like repairing a corrupted Excel file.

πŸ§‘‍πŸ’» Copy Python Command

arcpy.management.RepairGeometry("Pipeline")

πŸ“Έ Screenshot callout

  • Input feature class
  • Repair summary message

πŸ‘” Manager line
“Fixes hidden data issues that cause system failures.”


πŸ”Ή 4. Feature Class to Feature Class (with SQL)

Best for: Clean data extraction

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A screenshot of a computer

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🧠 Simple example

Previous data contains:

  • Active
  • Abandoned
  • Proposed pipes

πŸ‘‰ Tool creates only Active pipes dataset.

πŸ“Œ Like copying filtered Excel rows into a new sheet.

πŸ§‘‍πŸ’» Copy Python Command

arcpy.conversion.FeatureClassToFeatureClass(

    "Pipeline",

    "OutputGDB",

    "Pipeline_Active",

    "assetgroup = 2 AND status = 'Active'"

)

πŸ“Έ Screenshot callout

  • SQL expression
  • Output name

πŸ‘” Manager line
“Ensures only relevant data is used for analysis and migration.”


πŸ”Ή 5. Calculate Field (Python Parser)

Best for: Bulk attribute updates

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A screenshot of a computer

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🧠 Simple example

Previous data:

  • 1, 0

After:

  • Active, Inactive

πŸ“Œ Like applying an Excel formula to an entire column.

πŸ§‘‍πŸ’» Copy Python Command

arcpy.management.CalculateField(

    "Pipeline",

    "StatusText",

    "'Active' if !status! == 1 else 'Inactive'",

    "PYTHON3"

)

πŸ“Έ Screenshot callout

  • Target field
  • Python expression

πŸ‘” Manager line
“Standardizes data so reports are clear and consistent.”


πŸ”Ή 6. Summary Statistics

Best for: Counts & reporting

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A screenshot of a computer

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🧠 Simple example

Manager asks:
“How many active pipelines?”

πŸ‘‰ Tool answers in seconds.

πŸ“Œ Like an Excel Pivot Table.

πŸ§‘‍πŸ’» Copy Python Command

arcpy.analysis.Statistics(

    "Pipeline",

    "Pipeline_Stats",

    [["OBJECTID", "COUNT"]],

    ["status"]

)

πŸ“Έ Screenshot callout

  • COUNT selected
  • Group by field

πŸ‘” Manager line
“Provides trusted numbers for decision-making.”


πŸ”Ή 7. Append (Schema Type = NO_TEST)

Best for: Enterprise data migration

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A screenshot of a computer

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🧠 Simple example

Previous data:

  • Old system fields

Target:

  • New enterprise schema

πŸ‘‰ Append loads data successfully.

πŸ“Œ Like importing Excel data with column mapping.

πŸ§‘‍πŸ’» Copy Python Command

arcpy.management.Append(

    "Source_Pipeline",

    "Target_Pipeline",

    "NO_TEST"

)

πŸ“Έ Screenshot callout

  • Schema Type = NO_TEST
  • Field mapping
  • Success message

πŸ‘” Manager line
“Safely moves approved data into production.”


🧾 Final One-Line Summary

These seven ArcGIS Pro tools help detect changes, remove duplicates, fix data issues, validate counts, and safely migrate data into enterprise GIS systems.


 

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