Model Training
Data Governance for Compliance Audits
Data Quality Management in Big Data
Key Findings
Data Governance Practices for Effective Collaboration
Governance
Frameworks
Tools
Security 
Employee
Training: Educate staff about security protocols and phishing attacks
...Zero Trust Security: Adopting a security
model that assumes no user or device is trustworthy by default
...
Key Challenges in Predictive Analytics Implementation 
Incomplete Data: Missing values in datasets can result in biased predictions and unreliable
models
...Training Existing Staff: Organizations may struggle to upskill their current workforce in advanced analytics techniques
...
Data Governance for Compliance Audits 
DCAM Data Management Capability Assessment
Model Framework for assessing data management capabilities
...Provide
Training and Awareness Educate employees about data governance policies and compliance requirements to foster a culture of data responsibility
...
Data Quality Management in Big Data 
Accuracy The degree to which data correctly represents the real-world situation it is intended to
model ...Invest in
training and resources to enhance data literacy across the organization
...
Key Findings 
findings include: Application Impact Customer Retention Predictive
models can identify at-risk customers, allowing for targeted retention strategies
...Overfitting Models: A common pitfall in statistical modeling is overfitting, where a model performs well on
training data but poorly on unseen data
...
Data Governance Practices for Effective Collaboration 
frameworks include: DAMA-DMBOK (Data Management Body of Knowledge) DCAM (Data Management Capability Assessment
Model) GDPR (General Data Protection Regulation) compliance frameworks 3
...This involves: Providing
training and resources for employees to understand data governance
...
Governance 
Data Governance Framework DAMA-DMBOK (Data Management Body of Knowledge) DCAM (Data Management Capability Assessment
Model) GDPR (General Data Protection Regulation) Implementing Data Governance Implementing a data governance framework involves several steps: Assess Current State:
...Provide
Training: Educate employees on data governance policies and their importance
...
Frameworks 
Below are some of the most commonly used frameworks: Data Analysis Framework Statistical
Modeling Framework Machine Learning Framework Decision Support Framework Data Visualization Framework Key Components of Predictive Analytics Frameworks Most predictive analytics frameworks
...Training Teams: Equip team members with the necessary skills and knowledge to utilize the selected framework effectively
...
Tools 
Predictive Analytics Tools: Tools that use statistical
models and machine learning techniques to forecast future outcomes based on historical data
...Cost: High initial costs for software and
training can be a barrier for some organizations
...
Data Quality 
Training and Education: Providing staff with the knowledge and skills needed to maintain data quality
...popular frameworks include: Data Quality Framework by DAMA International DCAM (Data Management Capability Assessment
Model) Information Quality Framework Tools for Data Quality Management Organizations can leverage various tools to enhance data quality, including:
...
Selbstständig machen z.B. nebenberuflich!
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 ...