data engineering apis

Identify Duplicate, Redundant, and Inconsistent Data

by Interzoid Team

Posted on April 11th, 2022

Duplicate and Redundant Data

One of the easiest ways to get started with Interzoid is by quickly and easily running match reports against your various Cloud data sources. This will help you understand what level of data duplication, redundancy, and inconsistency issues you might have, and how these issues might affect various business processes, reporting, analytics, marketing, customer communication, and anything else that relies on your organizational data assets.

Running a live data match report in the Cloud is easy to do. Simply provide your API key, your data source connection string for a native connection to access the data, and then run the duplicate data match report. You can register for a free API trial key if you don't have one.

With your own data, you will see actual examples of duplicate, inconsistent data (algorithmically generated "similarity keys" identify similar data):

Duplicate Data Report

Inconsistent, redundant data is often at the root of an organization's data challenges, causing inaccurate data analysis, faulty decision-making, data management issues, inefficient business processes and other complications that result in increased cost and missed opportunities. Fortunately, using Interzoid's various data matching APIs and similarity key technology, these challenges can be greatly simplified, if not solved entirely.

Interzoid's data-type-specific Matching APIs enable a hash-based "similarity key" to be algorithmically generated by traversing similarity trees that have been creating utilizing heuristics, phonetics, specific language knowledge, spelling variation analysis, AI-based learning methods, and rich data content-specific reference databases. These similarity keys are then used as the basis of all data matching, enabling variations of similar data, such as "Jim" and "James", "Street" and "St", and "Inc." and "Incorporated" to be identified across data fields. The similarity key approach allows ultimate flexibility in terms of how identified matches are dealt with and for easy integration into a wide range of data-driven applications.

With the Interzoid Matching APIs, you can:

✔ Eliminate redundant and duplicate data from customer and important databases
✔ Leverage data content-specific matching algorithms for higher matching success rates
✔ Improve the accuracy of data analysis activities with better, more accurate foundational data
✔ Utilize fuzzy matching to match data across datasets
✔ Enable fuzzy searching for better, more comprehensive search results
✔ Achieve greater ROI with business intelligence investments
✔ Leverage growing AI-driven knowledge bases of matching and inconsistent data identification
✔ Reduce costs associated with redundant, duplicate data
✔ API-based solution enables full customization of data matching strategies
✔ Data connectivity tools allow native connections for easy match identification reporting
✔ Similarity keys can be leveraged within a broad range of applications
✔ Easy to get up-and-running with immediate results

Getting Started with Interzoid
Three ways to achieve better, more usable, and higher value data with Interzoid
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Step-by-Step Tutorial for Data Matching
See quickly one example of how inconsistent data can be identified within databases and datasets with ease.
Example API Usage Code on Github
Sample Code for invoking APIs on Interzoid in multiple programming languages
Business Case: Cloud APIs and Cloud Databases
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Documentation and Overview
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