Data Automation
Data Mining for Strategic Planning
The Science Behind Predictive Analytics
Business Review
Using Data for Insights
Enhancing Business Intelligence
Data Governance and Information Security Policies
Integrating Machine Learning into Business Models
Business Applications of AI 
applications: Machine Learning Deep Learning Natural Language Processing Computer Vision Robotic Process
Automation Key Applications of AI in Business Application Area Description Benefits
...Data Analysis AI algorithms analyze large datasets to uncover insights and trends
...
Execution 
business analytics, particularly predictive analytics, execution refers to the process of implementing insights derived from
data analysis to drive decision-making and operational effectiveness
...continues to evolve, several trends are expected to shape the future of execution in predictive analytics: Increased
Automation: Automation tools will streamline the execution process, allowing for faster and more efficient implementation of insights
...
Data Mining for Strategic Planning 
Data Mining for Strategic Planning refers to the process of analyzing large datasets to uncover patterns, trends, and insights that inform decision-making in a business context
...its evolution: Artificial Intelligence: The integration of AI with data mining will enhance predictive analytics and
automation ...
The Science Behind Predictive Analytics 
Predictive analytics is a branch of advanced analytics that uses various statistical techniques, including machine learning,
data mining, and predictive modeling, to analyze current and historical data to make predictions about future events
...Automation: Automation of data preparation and model building processes will improve efficiency
...
Business Review 
particularly in the realm of prescriptive analytics, which focuses on providing recommendations for future actions based on
data analysis
...Key trends include: Increased
Automation: Automation tools are streamlining data collection and analysis processes
...
Using Data for Insights 
In today's digital age, the ability to leverage
data for insights has become a critical competency for businesses
...include: Artificial Intelligence: The integration of AI into analytics is expected to enhance predictive capabilities and
automation ...
Enhancing Business Intelligence 
refers to the technologies, applications, and practices for the collection, integration, analysis, and presentation of business
data ...Increased Efficiency
Automation of data analysis reduces the time spent on manual reporting tasks
...
Data Governance and Information Security Policies 
Data governance and information security policies are critical components of effective business management, particularly in the realm of business analytics
...Key trends include: Increased
Automation: Leveraging AI and machine learning to enhance data governance and security processes
...
Integrating Machine Learning into Business Models 
learning (ML) has emerged as a transformative force in the field of business analytics, enabling organizations to leverage
data-driven insights for strategic decision-making
...Operational Efficiency
Automation of routine tasks and processes can lead to significant cost savings and productivity improvements
...
Data Mining for Enhancing User Interactions 
Data mining is a powerful analytical tool that enables businesses to extract valuable insights from large datasets
...Artificial Intelligence: The integration of AI and machine learning with data mining will enhance predictive capabilities and
automation ...
Nebenberuflich (nebenbei) selbstständig m. guten Ideen
Der Trend bei der Selbständigkeit ist auf gute Ideen zu setzen und dabei vieleich auch noch nebenberuflich zu starten - am besten mit einem guten Konzept ...