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Decimal typing retains fractional values required by financial calculations. That targets preserve noninteger numeric amounts, not parse and type actual calendar dates.

Text represents an identifier without performing arithmetic or dropping leading zeros. It may suit preserve leading-zero identifiers, not parse and type actual calendar dates.

Offset-aware transformation prevents comparisons between inconsistent local clocks. It is useful for standardize timezone-bearing event timestamps, not for parse and type actual calendar dates.

Correct culture prevents scale and separator errors in rate values. It is useful for correcting dot-decimal exchange-rate interpretation, not for parse European formatted currency values.

Source-locale parsing resolves ambiguous dates according to the approved convention. That is meant for correctly parse day-first ambiguous dates, not parse European formatted currency values.

Culture-sensitive conversion recognizes localized month names and format rules. It would address decode localized month strings, not parse European formatted currency values.

Separate error quarantine preserves traceability while protecting model calculations. It would address audit invalid rows without loading them into fact, not handle nonnumeric missing-value marker.

Blind substitution of zero conflates bad input with a genuine zero transaction. That targets avoid deceptive revenue error replacement, not handle nonnumeric missing-value marker.

Isolating error records exposes offending values and conversion context. It is useful for diagnosing row-level import exceptions, not for handle nonnumeric missing-value marker.

Removing lookalike facts would erase genuine business events. It is useful for preserving legitimately repeated purchases, not for deduplicate identical dimension records.

Reconciliation restores uniqueness at the intended dimension key grain. Its scope is resolve conflicting dimension key rows, not deduplicate identical dimension records.

Full-grain key selection avoids deleting valid line items within an order. That is meant for preserve multi-line order grain, not deduplicate identical dimension records.

Approved synonym mapping permits grouping consistent business states. That targets normalize equivalent status labels, not investigate unauthorized region categories.

Hard-coded stale filtering can silently discard valid new categories. It may suit handle approved novel enum states, not investigate unauthorized region categories.

Governed business definitions prevent fabricating categories from ambiguous abbreviations. It is useful for validating undefined code semantics before mapping, not for investigating unauthorized region categories.

Robust metrics help distinguish influential genuine observations from source errors. It is useful for assessing impact of extreme but possibly valid values, not for investigating impossible sensor readings.

Legitimate rare business events are meaningful and should not be deleted solely for extremity. That is meant for preserve valid exceptional transactions, not investigate impossible sensor readings.

Date constraints can identify records inconsistent with known business time boundaries. It would address detect impossible chronology, not investigate impossible sensor readings.

Referential checks expose missing dimensions, latency, or deleted source records. It would address resolve orphan transactional references, not reconcile mismatched ledger totals.

A many-to-many merge can inflate counts when mapping keys are duplicated. That targets diagnose unexpected merged row multiplication, not reconcile mismatched ledger totals.

Joining exchange rates at the wrong grain distorts converted amounts. It is useful for correcting currency conversion lookup, not for reconciling mismatched ledger totals.

Source manifest comparison exposes absent expected partitions. It is useful for restoring weekend extract completeness, not for detecting missing geographic coverage.

Privacy-driven redaction is a required transformation rather than a quality defect. Its scope is distinguish deliberate redaction from missingness, not detect missing geographic coverage.

Parent-child validation detects transactions lacking required detail rows. That is meant for validate required invoice-detail coverage, not detect missing geographic coverage.

Unicode normalization prevents byte-form differences from appearing as distinct text values. That targets unify canonically equivalent character strings, not clean descriptions without changing keys.

Unconditional lowercasing would merge distinct source-defined categories. It may suit retain legitimately case-sensitive codes, not clean descriptions without changing keys.

Display text alone is not sufficient for deduplicating entities with separate histories. It is useful for avoiding collapsing separate historical entities, not for clean descriptions without changing keys.

A nullness flag allows quality reporting without pretending a null identifier is valid. It is useful for quantify missing customer identifiers, not for distinguish no measurement from measured zero.

Empty textual values and numeric zero are different states. That is meant for normalize absent text while preserving zero, not distinguish no measurement from measured zero.

Treating missing as zero would bias the mean downward. It would address unbiased average across measured observations, not distinguish no measurement from measured zero.

Unit-of-measure reconciliation prevents thousandfold numeric misstatement. It would address consistent numeric scale and units, not reliable cents-level financial totals.

Percentage formatting should not distort stored numeric ratios. That targets avoid percent double-scaling errors, not reliable cents-level financial totals.

Converting a noninteger to whole number without review can change the underlying business event. It is useful for enforcing whole-package quantity integrity, not for reliable cents-level financial totals.