Property data

Property reporting that stands up to a source-data check

Client profile

a national property-data platform · Property-market reporting · Embedded data engineering · SQL Server and SSIS

Property data · SQL Server · Data quality

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01 / Inside the engagement

Situation

Regional property reports depend on more than fast queries. Duplicate records, geographic boundaries and historical updates can change the numbers a reader sees. The client needed those rules handled consistently as its reporting changed.

Conceptual delivery summaryProduction checks confirmed

Context

  1. Property records
  2. Geographic scope
  3. Historical changes

UTIS contribution

  1. Duplicate rules
  2. Source-data checks
  3. Reviewed reports

Simplified workflow. The case text describes the contribution, delivery stage and evidence.

Explore the full conceptual diagram
Property reporting that stands up to a source-data checkConceptual delivery summary. Context: Property records to Geographic scope to Historical changes. UTIS contribution: Duplicate rules to Source-data checks to Reviewed reports. Production checks confirmed. CONTEXT Property records Geographic scope Historical changes UTIS CONTRIBUTION Duplicate rules Source-data checks Reviewed reports
Conceptual illustration of the engagement. The delivery stage and measurement scope are described in this case study.

02 / Inside the engagement

What UTIS did

  • Updated duplicate-record handling to account for both property identity and the geographic scope of a report.
  • Extended regional market calculations and compared source records with the final reporting tables.
  • Worked through release planning and client QA, including checks after the production release.
  • Added the ability to rerun historical calculations for selected geographies, so a targeted correction did not require the same treatment everywhere.

03 / Inside the engagement

Results

  • Client QA completed a production review of the reporting changes and reported no issues within the checks performed.
  • The reviewed counts matched between source and final reporting tables.
  • A later production work item confirmed delivery of selected-geography historical reruns.

Why it matters to you

Reporting earns trust when a team can explain how the number was produced and trace it back to the data. Clear duplicate-record rules, geographic scope and controlled history updates make that explanation possible.

Stack

SQL ServerT-SQLSSISData qualityRelease validation

Evidence basis: client production-review records confirm the reporting checks; a separate completed production work item confirms selected-geography historical reruns. No runtime, savings or migration-duration result is claimed.

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