The document provides an overview of Watson Analytics, an IBM product that allows users to upload and analyze data. It describes key features such as data upload and editing, exploration of data through asking questions in plain language and generating diagrams, making predictions using selected variables, and creating reports and dashboards. Benefits of Watson Analytics are highlighted as including understanding natural language, generating and evaluating hypotheses, and automatically selecting the best models and detecting relationships through techniques like decision trees and key driver analysis.

1. Watson Analytics
Maria Skordili
University of Aegean

2. Log in and Registration

3. Information needed for register!

4. Upload Data
● Choose Add to add
file
● Choose Drop your
file here or tap to
browse
● For exmple my file is
the file with the name
''ete''

5. How to edit the data
● Exploration
● Prediction
● View

6. Exploration Ask question in
plain language

7. Exploration diagramm
Other relevant
metrics

8. Predictions
Here we choose
how many
Variables do
we need
Data quality scored
Report and
dashboard
creation

9. This graph contains information how
minimum price and trades interact on
closing price

10. Why choose Watson Analytics?
● Understand natural language
● Genarate and evaluates hypotheses
● Adapts and learn
● Automatic Modeling
✔ Auto selection of best models and detection of strongest relationships: Decision Tree
(CHAID) and Key Driver
✔ Reports (based on linear and logistic regression)

11. System
helps
user to...
…system applies
analytic models…
…find
relevant data
…find
relevant data
Shapes data
and interact
with user...
● Applies
knowledge,
experience
and feeling
Surfase the
relationship
between data...
Surfase the
relationship
between data...
I have a
question...
I have a
question...
I have the aswer...what
and how to do it.
Decision!!!

12. In Watson analytics!!!
Thank you.
http://www.ibm.com/analytics/watson-analytics/