
Tredence provides data engineering analytics services for accelerating AI adoption through custom digital accelerators, frameworks, and solutions.




Data Mining is one of the most versatile techniques that have received a warm response in Government, Healthcare, Enterprises and private Organizations.
It is mainly used for interpreting big data and analytics for smoothening the workflow at hospital management by helping doctors and nurses serve better to their patients.Data Mining can benefit surgeons to analyse large volumes of datasets and gain the relevant insights to perform the operation task more accurately and at great precision.Moreover, in U.S the healthcare sector is estimated to have owned nearly 1.2 billion clinical documents every year for doctors and researchers at the hospital to analyse and suggest remedies, cures for patients to get well soon.The Data Mining and Interpretation techniques in Healthcare have drawn plenitude of benefits for doctors to classify the data source more accurately and then assure to the safety of patient.The prospects of running the hospital management should also get much easier with doctors perform to their duties clinically.Learn more at Data Mining in Healthcare.


Data Engineering is a set of technological solutions, which are used for the purpose of enabling organizations to process large amounts of structured data.
These solutions encompass a variety of technologies such as Operational Data Management (ODM), Data mining, Data cleansing, Meta-analysis, Natural Language Processing (NLP), and artificial intelligence (AI).
In order to improve the organization's operational efficiency and provide solutions to complex business problems, data engineering has been developed.
The techniques involve the application of algorithms to unstructured data and then mining these algorithms to provide insights into problems that have pre-existing models.
Data science uses different forms of statistical and mathematical methods in order to analyze and represent large amounts of unstructured or complicated data.
Data warehouse technologies to help solve business problems by providing solutions to business questions and issues.
