Real Time Data Analysis
Predictive Modeling
Customer Insight Generation
Machine Learning Algorithms for Beginners
Customer Trends
Optimize Business Decisions
Feedback
Making Data Accessible through Visuals
Data Accessibility Improvements 
Data accessibility improvements refer to the enhancements made to ensure that data is easily available, usable, and understandable for decision-makers within an organization
...reasons: Informed Decision-Making: Accessible data allows stakeholders to make informed decisions based on accurate and
timely information
...APIs: Application Programming Interfaces (APIs) enable
real-time data sharing between systems, facilitating seamless integration
...accessibility is likely to be shaped by several trends: AI and Automation: Increasing use of AI-driven tools to automate data
analysis and reporting
...
Information Technology in Business (K) 
includes hardware, software, and telecommunications systems that facilitate the collection, storage, and dissemination of
data ...Benefit Description Increased Efficiency Automation of repetitive tasks reduces
time and labor costs
...Data Management IT systems allow for better data collection,
analysis, and reporting
...Enhanced Decision Making Access to
real-time data supports informed decision-making
...
Customer Feedback 
It is a critical component of business analytics, particularly in the
realm of descriptive analytics, as it helps organizations understand customer satisfaction, identify areas for improvement, and enhance overall service delivery
...In-Person Interviews: Provide in-depth insights but can be
time-consuming and costly
...The
analysis can be performed using various descriptive analytics techniques: Quantitative Analysis: Involves statistical methods to interpret numerical
data from surveys
...various descriptive analytics techniques: Quantitative Analysis: Involves statistical methods to interpret numerical
data from surveys
...
Predictive Modeling 
Predictive modeling is a statistical technique used in business analytics to forecast future outcomes based on historical
data ...Sales forecasting,
real estate valuation Logistic Regression A classification algorithm used to predict binary outcomes based on one or more predictor variables
...Changing Environments: Predictive models may become less accurate over
time as underlying patterns and relationships change, necessitating regular updates
...See Also Data
Analysis Big Data Data Science Autor: CharlesMiller
...
Customer Insight Generation 
Customer Insight Generation refers to the process of collecting, analyzing, and interpreting
data related to customer behavior, preferences, and needs
...Real-
time insights; broad range of opinions
...Social Media
Analysis Tools: Tools like Hootsuite and Brandwatch monitor social media interactions and sentiment
...
Machine Learning Algorithms for Beginners 
learning (ML) is a subset of artificial intelligence (AI) that enables systems to learn from
data, improve their performance over
time, and make predictions or decisions without being explicitly programmed
...In the
realm of business analytics, machine learning algorithms play a crucial role in deriving insights from data, optimizing processes, and enhancing decision-making
...These algorithms are particularly useful for exploratory data
analysis ...
Customer Trends 
Customer trends refer to the patterns and behaviors exhibited by consumers over
time ...In the
realm of business and business analytics, customer trends play a significant role in predictive analytics, allowing companies to forecast future consumer behaviors and preferences
...Customer Trends Grasping customer trends is essential for various reasons: Informed Decision Making: Businesses can make
data-driven decisions based on current and emerging trends
...Resource Optimization: Efficiently allocating resources based on trend
analysis can improve profitability
...
Optimize Business Decisions 
Optimizing business decisions involves using
data-driven methodologies to enhance decision-making processes within organizations
...Scenario
Analysis Evaluates different scenarios to determine potential outcomes of various decisions
...Real-
time Decision Making Facilitates immediate decision-making by analyzing data as it becomes available
...
Feedback 
Informed Decision-Making:
Data collected from feedback can be analyzed to inform strategic decisions, ensuring that businesses are aligned with customer needs
...Publicly available; reflects
real-
time customer sentiment
...The
analysis process typically involves: Data Cleaning: Removing any irrelevant or duplicate responses to ensure data integrity
...
Making Data Accessible through Visuals 
Data visualization is a powerful tool in the
realm of business analytics that transforms complex data sets into understandable visuals
...Showing trends over
time ...Drag-and-drop interface, real-time data
analysis, and interactive dashboards
...
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 ...