Hi-Tech House Ahmedabad Customer Care Phone Number : hitechbpo.com

[Brightlin]

Company : Hi-Tech House
Head Office : Ahmedabad
Industry : Software Service
Service / Product : BPO, Data entry, Data Processing,Data Conversion,etc

Website : http://www.hitechbpo.com/contactus.php

Customer Care Phone Number :
Call Us : +91-794-000-3251
Email us : info AT hitechbpo.com

Contact Address :
India - Ahmedabad :
Hi-Tech House
B/H V-Murti Complex
Gurukul, Ahmedabad - 380052
Gujarat, India

India - Cochin :
43-A, Block E, 3rd Floor
Cochin Special Economic Zone (CSEZ)
Kakkanad, Cochin - 682037
Kerala, India

USA - CA :
547 Moreland Way
Santa Clara,
CA 95054, USA

USA - NY :
50 Riverside Drive
NY - 10024, USA

United Kingdom :
New Broad Street House,
35 New Broad Street,
London, Middlesex - EC2M 1NH
United Kingdom

About Us :
At hitech, we combine supremely advanced technologies with deep domain expertise to provide business data management solutions to a wide array of diversified industries including Automotive, Construction, Banking and Finance, Healthcare, Manufacturing, Education, Travel and Hospitality, eCommerce and retail, and Telecommunications, irrespective of geographical boundaries.

[Unregistered]

Data mining is an interdisciplinary field of astronomy, business, and computer science, economic and other to discover new patterns from large datasets. Data mining technology can help the insurance firms for taking crucial business decisions.

The insurance sector is primarily dependent on customer’s base. The most scenario of any insurance firm, effective management of customer data is essential one. With the help of data mining techniques, the customer data handled effectively.

Data mining is to help the market specialists for decision making process. Companies in the insurance industry collected huge amounts of data about their customers. Due to their protective regulations, extracting information from the database caused a lot of time. In that situation, Data mining very helpful to the firm for access the data easily

Data mining refers to extracting or “mining” knowledge from large amount of data. Data mining as a synonym for another popularly used term, knowledge discovery from data or “KDD” The goal of this technique is to find pattern that was previously unknown data.

A. Data Mining Techniques
Data mining techniques have applied to various insurance domains to improve decision making. Data mining use predictive modeling, market segmentation, market basket analysis to answer business questions with greater accuracy. Various data mining techniques used for the insurance industry development are Classification, Clustering, Regression and Association rules, summarization used for knowledge discovery from database.