Market Structure
Data Strategy
Data Governance for Marketing
Statistical Techniques for Predictive Analytics
Data Mining and Predictive Analytics Synergy
Using Algorithms for Predictions
Data Mining Techniques for Visual Analysis
Text Analytics Overview
Building Predictive Models 
External Data Data obtained from third-party sources, such as
market research reports, social media, and public datasets
...Decision Trees A flowchart-like
structure that splits the data based on feature values to make predictions
...
Data Strategy Data Architecture: Designing the
structure of data storage and retrieval systems, including databases and data warehouses
...architecture, analytics, and security, businesses can drive innovation, improve decision-making, and gain a competitive edge in the
market ...
Data Governance for Marketing Data governance for
marketing refers to the management of data availability, usability, integrity, and security in marketing processes
...Data Architecture The design and
structure of data systems that support marketing analytics and reporting
...
Statistical Techniques for Predictive Analytics It is widely used in various industries such as finance, healthcare,
marketing, and supply chain management
...Decision Trees Decision trees are a flowchart-like tree
structure where each internal node represents a feature (or attribute), each branch represents a decision rule, and each leaf node represents an outcome
...
Data Mining and Predictive Analytics Synergy The primary goal of Data Mining is to extract useful information from data and transform it into an understandable
structure for further use
...Analytics Data Collection: Gathering relevant data from various sources, including transactional data, customer feedback, and
market trends
...
Using Algorithms for Predictions Customer churn prediction, credit scoring Decision Trees A flowchart-like
structure that uses branching methods to illustrate every possible outcome of a decision
...Risk assessment,
market segmentation Random Forest An ensemble learning method that constructs multiple decision trees and outputs the mode of their predictions
...
Data Mining Techniques for Visual Analysis The primary goal is to extract information from a dataset and transform it into an understandable
structure for further use
...Customer segmentation for targeted
marketing
...
Text Analytics Overview Topic Modeling: A method for uncovering the hidden thematic
structure in a large collection of documents
...Finance Monitoring social media and news to gauge
market sentiment and inform investment decisions
...
Algorithms Merge Sort Search Algorithms Algorithms used to retrieve information stored within some data
structure ...Some of the most notable applications include:
Market Basket Analysis: Algorithms analyze customer purchase patterns to identify products that are frequently bought together, aiding in cross-selling strategies
...
Data Mining for Resource Allocation allocation involves several key steps: Data Collection: Gather data from various sources, including internal systems,
market research, and customer feedback
...Data Exploration: Analyze the data to understand its
structure, patterns, and relationships
...
Eine Geschäftsidee ohne Eigenkaptial 
Wenn ohne Eigenkapital eine Geschäftsidee gestartet wird, ist die Planung besonders wichtig. Unter Eigenkapital zum Selbstständig machen versteht man die finanziellen Mittel zur Gründung eines Unternehmens. Wie macht man sich selbstständig ohne den Einsatz von Eigenkapital? Der Schritt in die Selbstständigkeit sollte gut überlegt sein ...
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