DataMatch Enterprise Server + API

DataMatch Enterprise Server + API is a plug and play system that permits flawed data to be usable. Enabling real-time fuzzy search of your databases quickly and easily, DataMatch Enterprise Server is the world’s best record linkage software.

Get Clean, Stay Clean Solution

DataMatch Enterprise Server + API is a component written by Data Ladder for state of the art fuzzy matching, data formatting, and data cleansing – amongst its most common uses are duplicate prevention, inquiry, deduplication and merge/purge. The Data Match Enterprise API splits and cases names and addresses, generates match keys for phonetic matching, uses probabilistic language models for a more accurate fuzzy match, and grades matching records.

The component provides a compact and eﬃcient solution to the problems of data quality and duplication on any Windows-based system.

How It Works

So what do you do if there are inconsistencies or variations in your data? Even worse, what if there are diﬀerent errors in both a database and a search engine? Data Ladder’s DataMatch Enterprise Server + API ﬁnds the right data – even with incomplete information. Our algorithms can ﬁnd the areas of similarity regardless of what ﬁelds they’re located in or however the data is aligned.

DataMatch Enterprise Server + API can handle many of the issues that compromise your data systems. Our system is scalable – even with large datasets, the information can be analyzed with lightning fast response times. The result for you? Increased accuracy and less manual work needed. Our software integrates directly with your database, yet functions independently and doesn’t aﬀect any other applications.

Our platform is a robust approach to making imperfect data usable. Our platform can make the right connections with any type of structured data. From spelling errors to redundancies, our tool can work through many of the common issues found in large amounts of data.

As seen in 20 diﬀerent independent match comparisons, DataMatch Enterprise Server found 5-10% more matches than any competitor or in-house solution.

Match Accuracy

	40K Records	400K Records	400K to 4M Records	Speed	Purchase / Licensing Costs
Data Ladder	96%	91%	95%	Very Fast	Low
IBM Quality Stage	88%	87%	91%	Fast	High ($250K Plus)
SAS DataFlux	84%	84%	81%	Fast	High ($250K Plus)

	Data Ladder	IBM Quality Stage	SADS Data Flux
40K Records	96%	88%	84%
400K Records	91%	87%	84%
400K to 4M Records	95%	91%	81%
Speed	Very Fast	Fast	Fast
Purchase / Licensing Costs	Low	High ($250K Plus)	High ($250K Plus)

Note the above tests were completed on internal test data (External confirmation in process). Note that these tests were done using our propietary algorithms, no pre processed algorithmic results were used.

API Architecture Diagrams

Have a specific data quality problem in mind?

Overview

There are two fundamental parts to the Data Match Enterprise API:

These can be utilized in diﬀerent scenarios:

Match Definitions

Match deﬁnition is a set of rules we apply on the ﬁelds to apply in the matching process. Match deﬁnition for one ﬁeld consisting of:

Matching type which can be Fuzzy or Exact.

Before doing any of those two (Fuzzy or Exact) we can transform the input to its phonetic equivalent:
– Phonetic

Example: phonetic transformation of words Dayton and Deighton is equal.

If match deﬁnition is Fuzzy than we need to apply a value for the:
– Level

It deﬁnes the threshold for the comparator. If the results of the comparison are equal to higher than Level, the match would be considered successful.

Matching Scores

Matching score is the average value of all matching scores per individual ﬁelds. If any ﬁeld has a matching level below the level the complete score will be 0.

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