Social Media Analytics
Networks
BI Practices
Developing Predictive Analytics Frameworks
Key Insights
Predictive Analytics for Market Research
Using Data for Predictions
Creating Actionable Insights through Predictions
Best Practices in Predictive Analytics 
Predictive
analytics is a branch of advanced analytics that uses historical data, statistical algorithms, and machine learning techniques to identify the likelihood of future outcomes based on historical data
...Data Preparation Steps: Data Collection: Gather data from various sources, such as CRM systems,
social media, and transactional databases
...
Networks In the context of business
analytics and data analysis, networks refer to interconnected systems that facilitate the flow of information, resources, and services
...These networks can be physical, such as supply chains, or virtual, such as
social networks and information systems
...Examples include social
media platforms and professional networks like LinkedIn
...
BI Practices It involves gathering data from various sources, which can include: Internal databases External data sources
Social media platforms Customer feedback 2
...Common techniques include: Descriptive
Analytics Predictive Analytics Prescriptive Analytics 4
...
Developing Predictive Analytics Frameworks Predictive
analytics frameworks are structured methodologies that organizations use to analyze data and make forecasts about future events
...various sources, which can include: Internal databases External data sources Surveys and questionnaires
Social media Web scraping Data quality is crucial; thus, organizations should ensure that the collected data is accurate, complete, and timely
...
Key Insights Key insights in business
analytics and business intelligence (BI) are critical for organizations seeking to make informed decisions and gain competitive advantages
...RapidMiner Text Analytics Extracts insights from unstructured data sources such as
social media and customer reviews
...
Predictive Analytics for Market Research Predictive
Analytics for Market Research refers to the use of statistical algorithms and machine learning techniques to identify the likelihood of future outcomes based on historical data
...involves several key components: Data Collection: Gathering relevant data from various sources, including surveys,
social media, sales records, and customer feedback
...
Using Data for Predictions Using data for predictions is a critical aspect of modern business
analytics, enabling organizations to make informed decisions based on historical data trends and patterns
...1 Key Components Data Collection: Gathering relevant data from multiple sources, including databases,
social media, and IoT devices
...
Creating Actionable Insights through Predictions Creating actionable insights through predictions is a critical aspect of modern business
analytics ...components must be considered: Data Collection: Gathering relevant data from various sources, including internal databases,
social media, and market research
...
Identifying Market Opportunities through Analytics With the advent of advanced
analytics, businesses can leverage data to uncover insights that drive decision-making
...Sentiment Analysis Sentiment analysis involves analyzing customer feedback and
social media interactions to gauge public perception of a brand or product
...
Streamline Financial Analysis with Data analysis through effective data utilization, focusing on key methodologies, tools, and best practices in the realm of business
analytics and prescriptive analytics
...Emails,
social media posts, customer feedback Semi-structured Data Data that does not conform to a strict structure but still contains tags or markers to separate elements
...
Nebenberuflich selbstständig 
Nebenberuflich selbständig ist, wer sich neben seinem Hauptjob im Anstellungsverhältnis eine selbständige Nebentigkeit begründet.
Deutsch
Österreich
Italiano
English
Français
Español
Nederlands
Português
Polski
