Business Analysis Process
Value Creation
Tools
Data Engagement
Data Mining Applications in Human Resources
Real-Time Big Data
Risk
Governance Audits
Data Mining Techniques for Financial Predictions 
Data mining refers to the
process of discovering patterns and extracting valuable information from large datasets
...Below is a list of some of the most prominent methods: Classification Regression Clustering Time Series
Analysis Association Rule Learning Neural Networks Support Vector Machines 3
...
Data Mining Techniques for Service Improvement 
Data mining is a powerful analytical
process that involves discovering patterns and extracting valuable information from large datasets
...In the context of
business analytics, it plays a crucial role in enhancing service delivery and improving customer satisfaction
...categorized into several types, including: Classification Clustering Association Rule Learning Regression
Analysis Time Series Analysis Key Data Mining Techniques for Service Improvement Technique Description Application in
...
Value Creation 
Value creation refers to the
process through which
businesses and organizations develop products or services that enhance the worth of a company or its stakeholders
...Prescriptive Analytics Providing recommendations for actions based on data
analysis ...
Tools 
In the realm of
business analytics, particularly in the subfield of text analytics, a variety of tools are utilized to extract meaningful insights from textual data
...Text analytics encompasses the
processes of deriving high-quality information from text, utilizing various techniques that include natural language processing (NLP), data mining, and machine learning
...Below are some primary categories: Text Mining Tools Natural Language Processing (NLP) Tools Sentiment
Analysis Tools Data Visualization Tools Machine Learning Frameworks Popular Text Analytics Tools Tool Name Type Description
...
Data Engagement 
Data Engagement refers to the
processes and strategies employed by
businesses to actively interact with data in order to derive insights, make informed decisions, and enhance overall performance
...Customer Insights: Understanding customer behavior and preferences through data
analysis helps businesses tailor their offerings and improve customer satisfaction
...
Data Mining Applications in Human Resources 
Data mining, a subset of
business analytics, refers to the
process of discovering patterns and extracting valuable information from large sets of data
...Resources Data mining can be applied in several areas within human resources, including recruitment, employee performance
analysis, employee retention, and workforce planning
...
Real-Time Big Data 
Real-Time Big Data refers to the
processing and
analysis of large volumes of data as it is generated, allowing
businesses to make immediate decisions based on the most current information available
...
Risk 
In the context of
business analytics and data governance, risk refers to the potential for loss or damage that may occur as a result of various factors, including operational inefficiencies, strategic missteps, compliance failures, or external threats
...Risk Risks in business can be broadly categorized into several types: Operational Risk: Risks arising from internal
processes, people, and systems
...Scenario
Analysis Examines the effects of different scenarios on business outcomes
...
Governance Audits 
procedures Evaluation of risk management frameworks Review of compliance with legal and regulatory requirements
Analysis of decision-making processes Assessment of stakeholder engagement strategies Importance of Governance Audits Governance audits play a vital role in organizational
...Governance audits are systematic evaluations of an organization's governance frameworks,
processes, and practices
...
Financial Modeling 
Financial modeling is the
process of creating a numerical representation of a financial situation or scenario
...It is a vital tool used by
businesses, analysts, and investors to forecast future financial performance, evaluate investment opportunities, and make informed decisions
...General financial
analysis and forecasting
...
burgerme burgerme wurde 2010 gegründet und gehört mittlerweile zu den erfolgreichsten und wachstumsstärksten Franchise-Unternehmen im Lieferdienst-Bereich.
burgerme spricht Menschen an, die gute Burger lieben und ganz bequem genießen möchten. Unser großes Glück: Burgerfans gibt es in den unterschiedlichsten Bevölkerungsgruppen! Ob jung oder alt, ob reich oder arm – der Burgertrend hat nahezu alle Menschen erreicht, vor allem, wenn es um Premium Burger geht.