Big Data Use Cases
Data Visualization in Practice
Market Overview
Exploring Predictive Analytics Tools Available
Statistical Performance
Analytical Dashboard
Graphic Representation
Using Machine Learning for Customer Insights
Evaluating Machine Learning Solutions for Efficiency 
Machine Learning (ML) has become an integral part of modern business analytics, enabling organizations to make
data-driven decisions and optimize various processes
...Common metrics include: Metric Description
Use Case Accuracy Measures the proportion of correct predictions
...Imbalanced datasets Recall Measures the ability of a model to find all relevant
cases ...
Dashboard Design for Effective Reporting Dashboard design is a critical aspect of business analytics and
data visualization, providing stakeholders with the necessary insights to make informed decisions
...An effective dashboard synthesizes complex data into a clear and concise format, enabling
users to monitor key performance indicators (KPIs) and trends at a glance
...based on their purpose and audience: Type of Dashboard Description Use
Cases Operational Dashboards Focus on real-time data to monitor daily operations
...
Data Visualization in Practice Data visualization is a crucial aspect of business analytics, enabling organizations to interpret complex datasets and make informed decisions
...Data Exploration: Interactive visualizations allow
users to explore data dynamically, leading to new insights and hypotheses
...visualizations used in business analytics: Type of Visualization Description Use
Cases Bar Chart Displays categorical data with rectangular bars Comparing sales across different
...
Market Overview Description
Use Cases Surveys Collecting
data directly from consumers to understand preferences and behaviors
...Integration of
Big Data: Leveraging big data analytics to enhance the depth and accuracy of market insights
...
Exploring Predictive Analytics Tools Available Predictive analytics is a branch of advanced analytics that
uses historical
data, statistical algorithms, and machine learning techniques to identify the likelihood of future outcomes based on historical data
...available in the market: Tool Name Description Key Features Use
Cases Tableau A powerful data visualization tool that helps in creating interactive and shareable dashboards
...
Statistical Performance Statistical performance refers to the effectiveness and efficiency of statistical methods and models in analyzing
data and making informed business decisions
...Predictive Analytics: Techniques that
use statistical algorithms to identify the likelihood of future outcomes
...Description Application Accuracy Proportion of true results among the total number of
cases examined
...
Analytical Dashboard An analytical dashboard is a
data visualization tool that aggregates and displays data from various sources in a single interface
...It is designed to help
users monitor key performance indicators (KPIs), track business metrics, and analyze trends in real-time
...serving different purposes within an organization: Type Description Use
Cases Operational Dashboards Focus on monitoring day-to-day operations and performance
...
Graphic Representation Graphic representation refers to the visual display of
data and information, often
used in business analytics to convey complex information in an easily digestible format
...graphic representations used in business analytics: Type Description Use
Cases Bar Chart A chart that presents categorical data with rectangular bars
...
Using Machine Learning for Customer Insights technology in the realm of business analytics, enabling organizations to derive actionable insights from vast amounts of customer
data ...Website Analytics Data on
user interactions with a website, such as page views and click-through rates
...Metric Description Accuracy The proportion of true results among the total number of
cases examined
...
Predictive Analytics Predictive analytics is a branch of advanced analytics that
uses historical
data, statistical algorithms, and machine learning techniques to identify the likelihood of future outcomes based on historical data
...the most common techniques include: Technique Description Common Use
Cases Regression Analysis A statistical method for estimating the relationships among variables
...
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