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Reporting & Writeback Matrix Docs
Reporting & Writeback Matrix Docs
  • Introduction to Inforiver
    • Why Inforiver
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      • Installing Inforiver for yourself
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  • Working with Inforiver
    • 1. Build your first Inforiver report
    • 2. Displaying information
      • Report interface
      • Layout options
      • Templates
      • Basic formatting
        • Number formatting
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      • Basic inline charts
    • 3. Basic interactions
      • Explore & filter data
        • Search & Filter
        • Explorer
        • Top N + others
      • Sort & reorder data
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      • Context menus
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      • Actions
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    • 4. Adding business logic and formulae
      • Insert calculated rows
        • Template rows
      • Insert calculated columns
      • Insert manual input rows
      • Insert manual input columns
        • Number
        • Dropdown
          • Dropdown options from semantic models
          • Lookup visuals for dropdowns
        • Text, checkbox & date
        • Writeback Matrix features
      • Invert sign
      • Editing cells
      • Quick formula
      • Visual column inside visual measures
      • Manage inserted rows
      • Manage inserted measures & columns
      • Pivot data
      • Insert image URLs
    • 6. Working with charts
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    • 5. Conditional formatting
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      • Create rule
        • Rules (If conditions)
        • Color scale & data bars
        • Classification
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      • Manage rules
    • 7. Planning, budgeting & forecasting
      • What-if analysis & simulations
      • Goal Seek
      • Scenarios (Writeback Matrix only)
      • Budgeting & allocations
      • Forecasting
        • Date rollover and extending forecasts
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        • Autoclose forecasts
        • Distribute deficit
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        • User Access Control
        • Common Scenarios
          • Forecast using a Blank Template
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          • Adding Forecasts for Periods unavailable in the model
          • Creating daily and weekly forecasts
      • Set version
    • 8. Paginated reporting
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    • 10. Exporting reports
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    • 11. Scheduling reports
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    • 12. Data writeback
      • Settings
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      • Destinations
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        • URL as destination
      • Logs
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    • 13. Context awareness
    • 14. Manage aggregation
      • Row aggregation
      • Column aggregation
    • 15. Managing Inforiver Writeback Matrix visuals
      • Inforiver deployments in Power BI pipeline setup
      • Duplicating Writeback Matrix Visuals - Best Practices
      • Recommended practices while working with Power BI desktop
    • 16. Approval workflows
    • 17. Collaborative adjustment workflows
    • 18. Variables
      • Variable types
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        • Select
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    • 19. Leveraging Power BI bookmarks
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  • Display settings
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  • Formula syntax
    • Conditional statements
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    • Math functions
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    • Date functions
      • DATEADD
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    • Time intelligence functions
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    • Other operators
    • Identifiers
      • CLOSEDPERIOD
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      • CURRENT_PERIOD
      • DESCENDANTS
      • FORECAST.CLOSED_END
      • FORECAST.CLOSED_START
      • FORECAST.OPEN_END
      • FORECAST.OPEN_START
      • GROUP INDEX
      • HAS
      • HAS_ALL
      • HAS_SOME
      • LEAVES
      • LEVEL
      • LOGGEDIN_EMAIL
      • LOGGEDIN_NAME
      • MATCH
      • MAXDATE
      • MEMBERS
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      • ROW.PARENT
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    • Scripting functions
      • DISPLAYTOAST
      • EXPORT
      • LAYOUT
      • SETCFRULE
      • SETFILTER
      • SETFILTERBYINDEX
      • SETVISIBILITY
      • SHOWBETWEENPERIOD
      • SHOWCLOSEDFORECAST
      • TOPN
      • DISPLAY SETTINGS
        • SETBLANKLABEL
        • SETSUPPRESSZEROS
        • SETRAGGEDHIERARCHY
        • SEPARATOR
        • SETCOMBINECOLUMNHEADER
        • SEMANTICFORMAT
        • SHOWNULLAS
        • SHOWZEROAS
        • SINGLECHILD
    • Miscellaneous functions
      • FETCH
      • LOOKUP
    • Measure/Column selection functions
      • GETCOLBETWEENPERIODS
      • GETMEASURE
  • Advanced topics
    • Audit log
    • Backup & restore report config
    • Enterprise themes
    • PowerPoint integration
    • Drill down and roll up in performance mode
  • Infobridge
    • 1. Create bridge
    • 2. Add source to bridge
    • 3. Bridge Interface
    • 4. Manage queries
      • Query transformations
        • Append
        • Join
        • Duplicate
    • 4. Manage sources
    • 5. Insert rows from bridge
    • 6. Insert measure from bridge
    • 7. Manage Integration of visuals
    • 8. Manage Bridges
    • 9. Data transformations
      • Pivot table
      • Group by
      • Add Column
      • Pivot column
      • Rename column
      • Find and Replace
      • Remove measure
      • Filter rows
      • Sort
      • Text functions
      • Unnest
      • Round
      • Extract Comments
      • Import and export
    • 10. Integrating forecasts
    • 11. Collaborative adjustments
  • Accessibility shortcut keys
  • Inforiver Reporting Matrix FAQs
  • Inforiver Writeback Matrix FAQs
  • Video tutorials
  • Resources
  • Release Notes
    • Inforiver Writeback Matrix May 2025 - v4.4.3
    • Inforiver Writeback Matrix April 2025 - v4.4.2
    • Inforiver Writeback Matrix April 2025 - v4.4.
    • Inforiver Writeback Matrix March 2025 - v4.3 - Time series formulae
    • Inforiver Writeback Matrix - March 2025 - v4.2
    • Inforiver Writeback Matrix March 2025 - v4.1
    • Inforiver Reporting Matrix March 2025 - V3.3.3 -New formatting and export options
    • Inforiver Writeback Matrix Feb 2025 - v4.0 - User permissions, High-performance mode, Input rules
    • Inforiver Writeback Matrix January 2025 - v3.9 - Fabric support, upgraded variables interface
    • Inforiver Writeback Matrix December 2024- v3.8 - Improved Scheduler Performance & Other Enhancements
    • Inforiver Writeback Matrix December 2024 - v3.7 - Merge rows, new rounding functions & More
    • Inforiver Writeback Matrix November 2024 - v3.6.2 - Import from Google Sheets & More
    • Inforiver Writeback Matrix October 2024 - v3.6 - Approval Workflows & Other Enhancements
    • Inforiver Writeback Matrix October 2024 - v3.5 - Lookup visuals & more
    • Inforiver Reporting Matrix Nov 2024 - v3.3 - Variables
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  • Arguments
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  1. Formula syntax
  2. Identifiers

HAS_SOME

PreviousHAS_ALLNextLEAVES

Last updated 2 years ago

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The HAS_SOME identifier checks if one or more of the specified values are part of the list. It can be used with formula columns, and data input columns (select, multi-select) and returns TRUE or FALSE.

Syntax

has_some(column1, [column2],..., searchvalue1, [searchvalue2],...)

Arguments

column1, column2 - The list of columns where the search needs to be performed. The argument column1 is required and other columns are optional.

searchvalue1, searchvalue2 - The list of values of to search in the columns. The argument searchvalue1 is required and other searchvalues are optional.

Example

Let us consider the below scenario.

The 'Project status' column is created using the data input column of type single select and status is defined for each product. Based on the status, funds are allocated and the expected project completion time is defined.

The 'Fund allocation' column is a data input - number column, which uses the HAS_SOME identifier to search for status and assign funds based on project status.

Another formula column is created using HAS_SOME to display the project completion time.

Using the HAS_SOME identifier
Using the HAS_SOME identifier