Posted on July 22nd, 2020
Are the data assets on which your company operate of questionable accuracy and efficiency? We have very little control over how customer, prospect, or other textual data is collected at its source. Therefore there is a good chance you are working within an organization where data quality could be significantly improved, thereby improving every process, activity, or analysis that makes use of this data.
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 name that is algorithmically designed to eliminate the inconsistency in the data content. Here are some examples of generated similarity keys:
We have recently added the ability to utilize different matching algorithms when generating similarity keys. 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
✔ 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
Sign up for an Interzoid account and you will receive automatic trial credits to take the API for a test drive.
Sample Matches Found Using Similarity Keys:IBM
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