Open main menu
Home
Random
Recent changes
Special pages
Community portal
Preferences
About Wikipedia
Disclaimers
Incubator escapee wiki
Search
User menu
Talk
Dark mode
Contributions
Create account
Log in
Editing
Data stream
(section)
Warning:
You are not logged in. Your IP address will be publicly visible if you make any edits. If you
log in
or
create an account
, your edits will be attributed to your username, along with other benefits.
Anti-spam check. Do
not
fill this in!
==Usage== There are various areas where data streams are used: * '''[[Fraud]] detection & scoring''' β raw data is used as source data for an anti-fraud algorithm ([[data analysis techniques for fraud detection]]). For example, timestamps, cookie occurrences or analysis of data points are used within the scoring system to detect fraud or to make sure that a message receiver is not a bot (so-called Non-Human Traffic<ref>{{cite web|url=https://theonlineadvertisingguide.com/glossary/non-human-traffic/|title=Non-Human Traffic [NHT]|website=theonlineadvertisingguide.com|date=June 7, 2017 |access-date=April 24, 2019|archive-url=https://web.archive.org/web/20170813062942/http://theonlineadvertisingguide.com/glossary/non-human-traffic/|archive-date=August 13, 2017|url-status=live}}</ref>). * '''[[Artificial intelligence]]''' β raw data is treated like a train set and a test set during AI and [[machine learning]] algorithms building. * '''[[Raw data]]''' is used for profiling and personalization to customize user profiles<ref>{{cite web|url=https://www.selligent.com/blog/inspiration/behavioral-profiling-and-personalization-customer-experience-first|title=BEHAVIORAL PROFILING AND PERSONALIZATION: CUSTOMER EXPERIENCE FIRST|website=selligent.com|date=July 26, 2012 |access-date=April 24, 2019|archive-url=https://web.archive.org/web/20190424083739/https://www.selligent.com/blog/inspiration/behavioral-profiling-and-personalization-customer-experience-first|archive-date=April 24, 2019|url-status=live}}</ref> and divide them for segmentation, e.g., per gender or location (based on [[data point]]). * '''[[Business intelligence]]''' β raw data is a source of information for BI systems, used for enriching user profiles with detailed information about them, e.g., purchase path or geodata. This information is used for [[business analysis]] and predictive research. * '''Targeting''' β processed data by data scientists improve online campaigns and is used for reaching the target audience.<ref>{{cite web|url=https://sendpulse.com/support/glossary/targeting|title=What is Targeting β Meaning|website=selligent.com|access-date=April 24, 2019|archive-url=https://web.archive.org/web/20190424083726/https://sendpulse.com/support/glossary/targeting|archive-date=April 24, 2019|url-status=live}}</ref> * '''CRM Enrichment''' β raw data is integrated with [[customer-relationship management]] system. CRM integration allows to fill the gaps in users' profiles with demographic data, interests or buying intentions.
Edit summary
(Briefly describe your changes)
By publishing changes, you agree to the
Terms of Use
, and you irrevocably agree to release your contribution under the
CC BY-SA 4.0 License
and the
GFDL
. You agree that a hyperlink or URL is sufficient attribution under the Creative Commons license.
Cancel
Editing help
(opens in new window)