Today’s Enterprise Big Data & Cloud environments – require an approach to customer data matching not supported by the traditional data quality technologies available.
Built on the 360Science matching engine – this high-performance API delivers fuzzy data matching at unprecedented speed and accuracy – even on massive volumes of structured and poorly structured customer data.
The Engine utilizes a unique blend of proprietary algorithms, including its own logic and AI to ensure that all types of variations in contact data are caught. Essentially taking a 3-dimensional view of the data, never relying on any single item of data being consistent or even correct!
mHUB’s highly scalable architecture is designed from the ground up for in-memory processing – and can handle millions of events per second. Even in common commodity hardware environments, mHUB can chew through a CRM database comparing 100,000 client records against 50 million reference records with a 20% match rate in “11 seconds” – with NO sacrifice to matching accuracy!
No need to spend months building complex data models. Our AI Engine is smarter than that. Just connect it to data.
Secure, fast, and enterprise ready. Our high-performance engine is built for the speed and scale of the global enterprise.
Our logic is pre-tuned and can be up and running in a fraction of the time of conventional solutions Just Code.
Everything You Need To Build Customer Data Quality at Scale
mHub is 360Science’s In-Memory cross-platform customer data API handling a range of functions from data normalization through data matching. The Engine is capable of incredible performance, and scales to handle extremely large datasets. It’s available for Windows, Unix and Linux environments. We provide sample code in C++, C# (.NET), and Java. The C# and Java samples illustrate how to read and write from database tables using ADO.NET, and JDBC respectively.
Because one methodology cannot be relied on exclusively to deal with all variations found in a typical database, 360Science uses multiple algorithms and lexicons to ensure that all types of difference are detected, taking a 3-dimensional view of the data, and never relying on any single item of data being correct or consistent!
mHUB incorporates Smart Matching – a combination of features that allows the automatic configuration of keys and other settings based on columns mapped, and the automatic selection of the ideal matching configuration and automatically configure itself.
In real-time and event stream modes, the Automated Entity Resolution AI analyzes the inputs to automatically determine the best matching configuration, on a record-by-record basis. It can even run different matching models simultaneously ( e.g Individual, Household, etc.).
This API also features Intelligent Scoring Logic. 360Science scoring is unbound from Key Generation and the logic to group matches and score matches, the engine can identify matches without the need to create a new MatchCode or generate match keys on the data! The Engine can also be set to weight individual attributes positively or negatively – creating matching and unmatching probabilities as well as identify “Automatic False-Positives” or “Automatic Positive Matches”. In other words – it’s a lot more accurate!
The 360Science Matching Engine – maximizes legitimate matches, minimizes false matches and gives you greater control of the matching process.
Add US or Global address validation capabilities to your integrated enterprise applications or website. Our intelligent API autocorrects your address data to correct USPS or international standardized formats. We provide APIs optimized for each deployment type – Batch or Autocomplete, or Event Stream, allowing you to easily deploy the API and parse, standardize, verify, cleanse and format address data for over 240 countries and territories.
Request a demonstration or more information on the next generation approach to unifying contact data.