Lexolino Expression:

Descriptive Models

 Site 25

Descriptive Models

Data Mining Process Customer Analytics Disciplines Data Mining Techniques for Online Retail Decision Analytics The Role of Data in Business Strategy Outcomes





Trends in Financial Analysis 1
Risk Assessment: Machine learning models assess credit risks and identify potential fraud ...
Key components include: Descriptive Analytics: Analyzing historical data to understand past performance and trends ...

Data Mining Process 2
This step often includes: Descriptive statistics Data visualization Identifying patterns and relationships 2 ...
5 Model Building Model building is the phase where various data mining techniques are applied to create models that can predict outcomes or classify data ...

Customer Analytics 3
different purpose: Type Description Descriptive Analytics Analyzes historical data to understand past customer behavior and trends ...
Predictive Analytics Utilizes statistical models and machine learning techniques to forecast future customer actions ...

Disciplines 4
disciplines within business analytics include: Data Mining Predictive Analytics Prescriptive Analytics Descriptive Analytics 2 ...
Surveys, Experiments, Statistical Models Data Visualization The graphical representation of information and data to communicate insights ...

Data Mining Techniques for Online Retail 5
These techniques can be categorized into two main types: descriptive and predictive ...
Key predictive techniques include: Regression Analysis: Models the relationship between a dependent variable and one or more independent variables ...

Decision Analytics 6
This often includes descriptive statistics, inferential statistics, and exploratory data analysis ...
Modeling: Developing predictive and prescriptive models using techniques such as regression analysis, machine learning, and optimization ...

The Role of Data in Business Strategy 7
Qualitative Data Descriptive data that provides insights into customer opinions and experiences ...
Predictive Analysis Uses statistical models and machine learning techniques to forecast future outcomes ...

Outcomes 8
Descriptive Analysis Descriptive analysis focuses on summarizing historical data to understand what has happened ...
Key components include: Model Building: Creating models to predict future trends ...

Data Analysis in Supply Chain Management 9
in Data Analysis for SCM Various techniques are employed in data analysis for supply chain management, including: Descriptive Analytics: This technique summarizes historical data to understand what has happened in the supply chain ...
Predictive Analytics: Utilizes statistical models and machine learning algorithms to forecast future trends and behaviors ...

Monitoring Trends in Business Analytics 10
It encompasses various techniques, including descriptive analytics, predictive analytics, and prescriptive analytics ...
Machine Learning Platforms: Platforms such as Google Cloud AI enable organizations to build and deploy machine learning models ...

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