Business Intelligence (BI) encompasses technologies and practices for analyzing and presenting business data to enhance decision-making. Predictive analytics, a subset of BI, employs various techniques to forecast future events based on current data. The document also mentions specific applications in healthcare, such as developing predictive models for hospital readmissions.

1. Business
Intelligence(BI) & Data
Mining(DM) Services

2. What is BI?
The term Business Intelligence (BI) refers to technologies,
applications and practices for the collection, integration,
analysis, and presentation of business information.

3. Purpose of BI
The purpose of Business Intelligence is to support better
business decision making. Essentially, Business
Intelligence systems are data-driven Decision Support
Systems (DSS). Business Intelligence is sometimes used
interchangeably with briefing books, report and query tools
and executive information systems.

4. Application of BI
ü
Prediction:
Predictive analytics is the branch of the advanced
analytics which is used to make predictions about
unknown future events. Predictive analytics uses many
techniques from data mining, statistics, modeling,
machine learning, and artificial intelligence to analyze
current data to make predictions about future.

5. How can we help?

6. Developing Prediction Model

7. Examples
ü
Developing prediction model for Hospitals
readmission for Dalarna County:
It's Masters Thesis by Sonia Zerin.

8. Resources
Ricky D'Cruze, VD
Master in IT Management, MDH
Kenneth Nilsson
Programmer & Database Specialist
Sonia Zerin
Business Intelligence(BI) Analyst
Master in Business Intelligence, DU

9. Tools used

10. Discussions!