Demonstration — illustrative, not a historical claim

SSRS → Power BI Modernization

A financial organization relies on SSRS for operational reporting. Reports are static, slow, and hard to maintain, and users want interactive analytics on a modern platform. This demonstrates a structured modernization path.

Executive Summary

I demonstrate modernizing SSRS into Power BI without losing rigor: inventory the report estate and extract embedded SQL, consolidate that logic into governed SQL Server views, build a dimensional model, and rebuild the reports as an interactive semantic layer with DAX, drill-through, and KPI cards — all under RLS and documented governance controls.

120+
Legacy reports inventoried (illustrative)
−65%
Maintenance surface (illustrative)
1
Unified semantic model
RLS
Governed access

01 Problem — example scenario

A financial organization relies on SSRS for operational reporting. Reports are static, slow, and difficult to maintain — logic is duplicated inside dozens of paginated reports. Users want interactive analytics and a modern BI platform, but the embedded SQL is a maintenance liability.

02 Constraints

03 SSRS inventory

Modernization starts with an inventory: catalog every report, its embedded datasets, owners, usage, and the SQL each one runs — the raw material for consolidation. Filter by migration status, or click a column header to sort. Illustrative data.

SSRS Report Inventory 10 REPORTS

04 SQL view consolidation

Embedded report queries are refactored into a small set of governed SQL Server views, so one definition serves every downstream visual.

120+ SSRS Queriesembedded SQL
Governed SQL Viewssingle definition
Power BI Modelone semantic layer
vw_OperationalReporting.sqlT-SQL
-- Consolidated view replacing duplicated SSRS dataset logic
CREATE OR ALTER VIEW rpt.vw_OperationalReporting AS
SELECT
      d.CalendarDate,
      b.BranchName,
      SUM(f.Amount)          AS TotalAmount,
      COUNT_BIG(*)            AS RecordCount
FROM dbo.FactOperations f
JOIN dbo.DimDate   d ON d.DateKey   = f.DateKey
JOIN dbo.DimBranch b ON b.BranchKey = f.BranchKey
GROUP BY d.CalendarDate, b.BranchName;

-- each retired SSRS report maps to its replacement view

05 Power BI model — semantic layer

The consolidated views feed a single dimensional model that replaces the entire report estate.

Operations star schema ERD — DimDate, DimBranch, DimProduct, DimCustomer, DimChannel and DimStatus joined one-to-many to the FactOperations fact, showing primary keys, foreign keys, and measures

06 DAX — semantic-layer measures

Interactive measures replace static report columns, with time-intelligence available everywhere.

Measures — Operations.daxDAX
Total Volume = SUM( FactOperations[Amount] )

Volume YoY % =
    VAR _cur  = [Total Volume]
    VAR _prev = CALCULATE( [Total Volume],
                         SAMEPERIODLASTYEAR( DimDate[CalendarDate] ) )
    RETURN DIVIDE( _cur - _prev, _prev )

// KPI target + status measures power the drill-through pages

07 Solution demonstration

The example Power BI app modernizes the estate while adding governance:

The rebuilt operational report runs on the FactOperations model. Filter by channel, hover the charts for values, and watch the dataset-health strip below. Illustrative data.

Operations · Executive (modernized) FY · MTD · ALL CHANNELS
Volume by Branch $M
12-Month Volume Trend $M
Volume by Channel share
Straight-through Rate target 90.0%

08 Outcome — demonstration

This example shows how SSRS modernization can, in practice:

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