Posted on December 1st, 2020
Interzoid's Advanced Company Name Matching API is now available for use on AWS Marketplace and as part of AWS unified billing. This API provides an algorithmically-generated company/organization name similarity key utilizing Machine Learning/AI and other heuristic algorithms. These keys, when sorted or matched, enable similar company names to be clustered together for the purposes of identifying inconsistent data, improving analytics, business intelligence, business processes, data science, CRM, and other data-centric disciplines. This REST-based API takes a company/organization query string and returns the results in JSON for easy, standardized integration into Web sites, applications, and business processes. In addition, we have database connectivity tools available to enable you to generate on-the-fly match reports with this API using ODBC and native database connectivity directly to your database or application - no coding necessary.
There are many examples of data quality challenges for an organization to overcome. One is the difficulty of dealing with inconsistent company/organizational name data, such as the following:IBM, International Business Machines, ibm, I.B.M.
Inconsistent company/organization names like these in your databases can cause significant problems, such as:
- duplicate company records
- data and contacts spread across multiple records
- inaccurate data analysis
- difficult to match across data sources
- faulty-decision making
- increased data management costs
- inefficient business processes
- missed opportunities
Interzoid has created a similarity key generation capability that greatly simplifies and can even solve these challenging data issues.
Our API generates a similarity key from a company/organization name that is algorithmically designed to eliminate the inconsistency in the data content. Here are some examples of generated similarity keys:
You can utilize different matching algorithms when generating similarity keys. For example, a "wide" key generation algorithm casts a wider net of possible matches for a given organizational name. The tradeoff here is an increase in the possibility of false positive matches where organizational names are similar. The "narrow" algorithm tightens the match requirements for two entities to generate the same similarity key. However, because of these tighter requirements, some matches could be missed. Of course "medium" is somewhere in the middle. So depending on your organization's requirements and business case, there are tradeoffs to consider.
Once similarity keys are generated for each organization in the target data source, data can be matched or sorted using these similarity keys rather than the data itself, resulting in dramatically higher match rates and identification of duplicate company names.
Using Interzoid's Company Name Match API, you can:
✔ Eliminate redundant and duplicate data from customer and important databases
✔ Leverage data content-specific matching algorithms for higher matching success rates
✔ Utilize Machine Learning capabilities for increased matching results
✔ Improve the accuracy of data analysis activities with better, more accurate foundational data
✔ Be more cost-effective with customer communications and marketing campaigns
✔ Utilize fuzzy matching to match company data across datasets
✔ Enable fuzzy searching for better, more comprehensive search results
✔ Achieve greater ROI with business intelligence investments
✔ Leverage growing AI-based knowledge bases of matching and ambiguous data identification
✔ Reduce costs associated with redundant, duplicate data
✔ API-based solution enables full customization of data matching strategies
✔ Similarity keys easily are leveraged within a broad range of applications
✔ Easy to get up-and-running with immediate results
✔ Pay-as-you-go pricing makes it easy to get started
Database and Application Seamless Integration:
Database and application connectivity tools are available to enable you to generate on-the-fly match reports with this API using ODBC and native database connectivity directly to your database or application - no coding necessary.
A sample such match report can be viewed here.
Sample databases supported:dBase
Sample SAAS applications supportedIBM Db2 Hosted
Sample Cloud Data Warehouses supportedAmazon Redshift
Sample Back Office applications supportedMicrosoft Dynamics 365
Sample Matches Found Using Similarity Keys:IBM