Big Data Mail Service

Differences between traditional mail services and Big data mail service

Traditional mail services
  • Slower
  • Closed-mail
VS
Big Data Mail service
  • Quick view, Quick search
  • Share history of sending and receiving mail by each customer
Differences between traditional mail services and Big data mail service
Traditional mail services Big data mail service
The more storage capacity and the number of mail increase, the slower it gets Even storage capacity and the number of mail have been increasing, guarantee fast performance and easy to extend
Vulnerabilities of all mail on the server When storing mail, other people can not check encrypted data
Cannot utilize e-mail data
Personalized email
Provides API which are suitable for the needs of customers
Provide history of sending and receiving mail by each customer of its company
Offer a variety of analysis and information

About Hanbiro Big data mail service


Big data mail service

According to the estimated amount of enterprise data worldwide, doubling every one or two years
Arise demand for analysis linkage of other software and mail in a company

Traditional

  • Personalized e-mail configuration and view
  • Unable to save level of a company
  • No customer correspondence analysis
  • Server load and processing delay caused by increasing amounts mail and storage capacity

Big Data Mail

  • Collect email information of enterprise level
  • Store and process Bulk mail, mass mail
  • Able to analyze all e-mail correspondence between individuals
  • Provide analytical history and data collection of each user
  • New inquiry form, collect and response to customer complaints and new inquiry form via web and email
  • All mail indexing and search
  • Various configurations can be linked with other data within the company by CRM or somethings like that

What is Big Data?

Big data is used to describe a massive volume of both structured and unstructured data that is so large that it is difficult to process using traditional database and software techniques.
Advanced technology for extracting value from data and analyzing the results
Generate, analyse collections, express and present value from a variety of large-scale data
Big Data can unlock significant value by making information transparent.

When dealing with larger datasets, organizations face difficulties in being able to create, manipulate, and manage big data.
Big data has the potential to help companies improve operations and make faster, more intelligent decisions.

Supervisor
Nam Kee Yeon
1544-4755 Ext. 706
keeyeon@hanbiro.com
(English Consultation Available)