Use Cases

CRM Data Dedupe & Normalization

Deduplication is a process which identifies and removes duplicate data in a system. Systems such as CRM are prone to generation of large amount of duplicate data. The duplicate data can reside in a system as different representations, spelling mistakes or part representations etc. Each entity in question will have a syntactic and semantic definition which needs to be applied in order to identify duplicates. For e.g. ABC International Inc. and ABC, Vice President and VP might be same.

Normalization is a process of transforming data in to standard and consistent representation. Each entity may be formed by various parts defining a syntactic structure. Also each part will have its own variations. BizNLP has ontologies which identify all possible syntactic structures and variations and can be used for standardizing the data.

Following entities can be processed: Try Our Demo
US Addresses Companies Designations

Semantic Comprehension of Resume

Resume management is an involved process if especially we are managing it from its content perspective. BizNLP can be used to quickly glance over a resume, extract information, normalize and correlate to the job requirement.

Following entities can be processed:
Companies Designations Skills Technologies Locations Tenures Business Domain

Alerts on key financial events in Companies

The key financial events happening in a company are of a great significance to different stakeholders. The Investors in the stock market will be interested in acquisition news and any news around expansion and growth of a company. The sales individuals may want to know about the recent funding event with their prospect. The loan departments of a bank may want to keep them aware of the key financial movements. BizNLP can be leveraged to get alerts on the following key financial events in companies of the company.

Acquisition Funding Growth Expansion

Semantic Comprehension of Jobs

Staffing and recruitment companies face tough problem managing millions of jobs posted across different job portals. BizNLP can be leveraged to extract information, normalize, filter out and cluster the jobs based out on following information:

Job Description Skills Business Domain Date Technologies Designation Reporting Authority