1.2. Data-and-Models-in-Business-Analytics (1)

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Data Models in Business Analytics
by Jitendra Tomar
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Data Models in Business Analytics
by Jitendra Tomar
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(No Transcript)
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The Rise of Business Analytics
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The Rise of Business Analytics
Increased Data Availability
The exponential growth of data from various
sources has made it possible to analyze vast
amounts of information.
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The Rise of Business Analytics
Increased Data Availability
Advanced Computing Power
The exponential growth of data from various
sources has made it possible to analyze vast
amounts of information.
Modern computing capabilities allow for complex
analysis and processing of large datasets.
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The Rise of Business Analytics
Increased Data Availability
Advanced Computing Power
Growing Business Demand
The exponential growth of data from various
sources has made it possible to analyze vast
amounts of information.
Companies are increasingly relying on data-driven
insights to make informed decisions.
Modern computing capabilities allow for complex
analysis and processing of large datasets.
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Defining Data and Models
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Defining Data and Models
Data
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Raw facts and figures that can be processed and
analyzed to extract meaning.
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Defining Data and Models
Data
Models
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Raw facts and figures that can be processed and
analyzed to extract meaning.
Mathematical representations of real-world
phenomena that can be used to predict and
optimize outcomes.
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Types of Data Structured vs. Unstructured
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Types of Data Structured vs. Unstructured
Structured Data
Organized in a predefined format, such as tables,
databases, and spreadsheets.
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Types of Data Structured vs. Unstructured
Structured Data
Unstructured Data
Organized in a predefined format, such as tables,
databases, and spreadsheets.
Does not follow a predefined format, including
text documents, images, videos, and audio files.
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Descriptive Analytics
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Descriptive Analytics
Understanding the Past
Provides insights into historical data patterns
and trends.
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Descriptive Analytics
Understanding the Past
Key Performance Indicators (KPIs)
Provides insights into historical data patterns
and trends.
Tracks and measures important metrics to assess
business performance.
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Descriptive Analytics
Understanding the Past
Key Performance Indicators (KPIs)
Provides insights into historical data patterns
and trends.
Tracks and measures important metrics to assess
business performance.
Reporting and Dashboards
Visualizes data in an easily digestible format
for stakeholders.
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Predictive Analytics
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Predictive Analytics
Forecasting
Predicts future outcomes based on historical data
and patterns.
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Predictive Analytics
Forecasting
Risk Assessment
Predicts future outcomes based on historical data
and patterns.
Identifies potential risks and opportunities
based on data analysis.
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Predictive Analytics
Forecasting
Risk Assessment
Predicts future outcomes based on historical data
and patterns.
Identifies potential risks and opportunities
based on data analysis.
Customer Segmentation
Groups customers based on their behavior and
preferences for targeted marketing.
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Prescriptive Analytics
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Prescriptive Analytics
Optimization
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Identifies the best course of action to maximize
desired outcomes.
Recommendation Engines
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Provides personalized recommendations based on
user preferences and behavior.
Decision Support Systems
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Assists decision-makers by providing data-driven
insights and recommendations.
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Prescriptive Analytics
Optimization
1
Identifies the best course of action to maximize
desired outcomes.
Recommendation Engines
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Provides personalized recommendations based on
user preferences and behavior.
Decision Support Systems
3
Assists decision-makers by providing data-driven
insights and recommendations.
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Prescriptive Analytics
Optimization
1
Identifies the best course of action to maximize
desired outcomes.
Recommendation Engines
2
Provides personalized recommendations based on
user preferences and behavior.
Decision Support Systems
3
Assists decision-makers by providing data-driven
insights and recommendations.
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Prescriptive Analytics
Optimization
1
Identifies the best course of action to maximize
desired outcomes.
Recommendation Engines
2
Provides personalized recommendations based on
user preferences and behavior.
Decision Support Systems
3
Assists decision-makers by providing data-driven
insights and recommendations.
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Implementing Analytics in Business
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Implementing Analytics in Business
Data Collection
Gathering relevant data from various sources.
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Implementing Analytics in Business
Data Collection
Gathering relevant data from various sources.
Data Cleaning and Preparation
Transforming raw data into a usable format for
analysis.
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Implementing Analytics in Business
Data Collection
Gathering relevant data from various sources.
Data Cleaning and Preparation
Transforming raw data into a usable format for
analysis.
Model Building and Validation
Creating and testing models to ensure accuracy
and reliability.
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Implementing Analytics in Business
Data Collection
Gathering relevant data from various sources.
Data Cleaning and Preparation
Transforming raw data into a usable format for
analysis.
Model Building and Validation
Creating and testing models to ensure accuracy
and reliability.
Deployment and Monitoring
Integrating models into business processes and
tracking their performance.
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The Future of Data Models in Business
Artificial Intelligence (AI)
AI algorithms will play a more significant role
in automating data analysis and decision-making.
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Real-Time Analytics
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Businesses will leverage real-time data streams
for instant insights and dynamic responses.
Data Ethics and Privacy
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Ethical considerations and data privacy will
become paramount.
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The Future of Data Models in Business
Artificial Intelligence (AI)
AI algorithms will play a more significant role
in automating data analysis and decision-making.
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Real-Time Analytics
2
Businesses will leverage real-time data streams
for instant insights and dynamic responses.
Data Ethics and Privacy
3
Ethical considerations and data privacy will
become paramount.
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The Future of Data Models in Business
Artificial Intelligence (AI)
AI algorithms will play a more significant role
in automating data analysis and decision-making.
1
Real-Time Analytics
2
Businesses will leverage real-time data streams
for instant insights and dynamic responses.
Data Ethics and Privacy
3
Ethical considerations and data privacy will
become paramount.
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The Future of Data Models in Business
Artificial Intelligence (AI)
AI algorithms will play a more significant role
in automating data analysis and decision-making.
1
Real-Time Analytics
2
Businesses will leverage real-time data streams
for instant insights and dynamic responses.
Data Ethics and Privacy
3
Ethical considerations and data privacy will
become paramount.
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The Future of Data Models in Business
Artificial Intelligence (AI)
AI algorithms will play a more significant role
in automating data analysis and decision-making.
1
Real-Time Analytics
2
Businesses will leverage real-time data streams
for instant insights and dynamic responses.
Data Ethics and Privacy
3
Ethical considerations and data privacy will
become paramount.
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Thats all folks

• Learning is an ART

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Remain Connected
Jitendra Tomar

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• Twitter - _at_jitendrastomar
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• Email - jitendratomar_at_hotmail.com

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