Transformation coverage — all thirty-four, stated precisely.

Every IDQ transformation type in scope for the data quality modernization path, with conversion status for each. Thirty-one convert automatically. Three do not. Nothing has been omitted for presentation.

29 with the accelerator · 2 with Kestryl · 3 not yet automated

Coverage

Status by transformation type.

Two of the thirty-one — Data Masking and Classification — convert by routing through Kestryl, PDI's PII discovery and remediation product. Every other supported row requires nothing beyond the accelerator itself.

Core data integration transformations
TransformationConversion status
Case ConverterFully supported
RankFully supported
FilterFully supported
SortFully supported
Weighted AverageFully supported
JoinFully supported
MergeFully supported
ExpressionFully supported
ComparisonFully supported
UnionFully supported
DecisionFully supported
AggregatorFully supported
Data MaskingFully supported with Kestryl
RouterFully supported
Key GeneratorFully supported
Update StrategyFully supported
InputFully supported
OutputFully supported
ParserFully supported
SQLFully supported
JavaFully supported
MatchFully supported
LabelerNot yet automated
StandardizerFully supported
NormalizerFully supported
ConsolidationFully supported
Address ValidatorFully supported
ClassificationFully supported with Kestryl
AssociationFully supported
Data Processor / Relational to HierarchicalNot yet automated
ExceptionNot yet automated
Web ServicesFully supported
REST APIFully supported
MacroFully supported

Reading the numbers

Coverage and rework are different measures.

Coverage is a capability measure across transformation types — 31 of 34. It is not the same figure as the 90%+ no-rework rate from live engagements, which is an outcome measure across converted objects. The two have different denominators and should not be combined.

Why this page exists

A conversion tool that claims complete coverage is describing a demonstration, not an estate. The useful question is whether gaps exist, are named, quantified before contract, and owned by someone.

Next step

Your estate's mix is knowable before you commit.

The no-cost IDQ Analyzer counts yours and tiers every object, so the manual workstream is priced rather than estimated.