User at 19:07, 1 December 2022

2022-12-01T19:07:55Z

Show changes

User: The LinkTitles extension automatically added links to existing pages (https://github.com/bovender/LinkTitles).

2021-02-06T17:41:31Z

The LinkTitles extension automatically added links to existing pages (https://github.com/bovender/LinkTitles).

Show changes

User at 18:49, 28 May 2020

2020-05-28T18:49:58Z

User at 11:25, 19 February 2019

2019-02-19T11:25:29Z

User: Predictive analytics is the practice of extracting information from existing data sets in order to determine patterns and predict future outcomes and trends.

2019-01-06T20:58:19Z

Predictive analytics is the practice of extracting information from existing data sets in order to determine patterns and predict future outcomes and trends.

Show changes

User: Created page with "'''Content Coming Soon'''"

2018-12-05T19:11:15Z

Created page with "'''Content Coming Soon'''"

New page

'''Content Coming Soon'''

← Older revision		Revision as of 18:49, 28 May 2020
Line 1:		Line 1:
−	Predictive ~~analytics~~ is the practice of extracting information from existing data sets in order to determine patterns and predict future outcomes and trends. Predictive analytics does not tell you what will happen in the future. It forecasts what might happen in the future with an acceptable level of reliability, and includes what-if scenarios and risk assessment.<ref>Definition of Predictive Analysis [http://www.webopedia.com/TERM/P/predictive_analytics.html Webopedia]</ref>	+	'''Predictive Analytics''' is the practice of extracting information from existing data sets in order to determine patterns and predict future outcomes and trends. Predictive analytics does not tell you what will happen in the future. It forecasts what might happen in the future with an acceptable level of reliability, and includes what-if scenarios and risk assessment.<ref>Definition of Predictive Analysis [http://www.webopedia.com/TERM/P/predictive_analytics.html Webopedia]</ref>

@@ Line 5: / Line 5: @@
-'''The Importance of Predictive Analytics'''<ref>Why is predictive analytics important? [https://www.sas.com/en_us/insights/analytics/predictive-analytics.html# SAS]</ref>,br />
+'''The Importance of Predictive Analytics'''<ref>Why is predictive analytics important? [https://www.sas.com/en_us/insights/analytics/predictive-analytics.html# SAS]</ref><br />
 Organizations are turning to predictive analytics to help solve difficult problems and uncover new opportunities. Common uses include:
 *Detecting fraud. Combining multiple analytics methods can improve pattern detection and prevent criminal behavior. As cybersecurity becomes a growing concern, high-performance behavioral analytics examines all actions on a network in real time to spot abnormalities that may indicate fraud, zero-day vulnerabilities and advanced persistent threats.
@@ Line 27: / Line 27: @@
-'''Types of Predictive Analytics'''<ref>What are the main types of predictive analytics? [http://www.fico.com/en/predictive-analytics/understanding-predictive-analytics/what-are-the-main-types-of-predictive-analytics|FICO]</ref>
+'''Types of Predictive Analytics'''<ref>What are the main types of predictive analytics? [http://www.fico.com/en/predictive-analytics/understanding-predictive-analytics/what-are-the-main-types-of-predictive-analytics|FICO]</ref><br />
 Predictive analytics is often used to mean predictive models. Increasingly, people are using the term to describe related analytic disciplines used to improve customer decisions. Since different forms of predictive analytics tackle slightly different customer decisions, they are commonly used together.
 *[[Predictive_Modeling|PREDICTIVE MODELS]]: Predictive models analyze past performance to “predict” how likely a customer is to exhibit a specific behavior in the future—for example, likelihood of a consumer to attrite or churn. This category also encompasses models that “detect” subtle data patterns to answer questions about customer behavior, such as fraud detection models. Predictive models are often embedded in operational processes and activated during live transactions. The models analyze historical and transactional data to isolate patterns: what a fraudulent transaction looks like, what a risky customer looks like, what characterizes a customer likely to switch providers. These analyses weigh the relationship between hundreds of data elements to isolate each customer’s risk or potential, which guides the action on that customer.

Predictive Analytics - Revision history

User at 19:07, 1 December 2022

User: The LinkTitles extension automatically added links to existing pages (https://github.com/bovender/LinkTitles).

User at 18:49, 28 May 2020

User at 11:25, 19 February 2019

User: Predictive analytics is the practice of extracting information from existing data sets in order to determine patterns and predict future outcomes and trends.

User: Created page with "'''Content Coming Soon'''"