Predictive Analytics enables organisations to forecast future events, analyse risks and opportunities, and automate decision making processes by analysing historic data.

1. PROJECT
DEFINITION
DATA
COLLECTION
STEP 1
What are the project
outcomes? Do they relate to
business goals? What sets
of data will be used during
the project?
Ingest data from the
various sources in one
place. Depending on the
types of data, a data lake
might be the best option.
STEP 2
DATA
ANALYSIS
STEP 3
Inspect, clean and
transform your data.
Explore this data to identify
trends and patterns
MODEL
MONITORING
STEP 7
Regularly monitor your
models to check
performance and ensure you
have the desired results.
STATISTICS
Use statistical methods to
validate your findings, and
test your hypothesis before
you apply a data model.
STEP 4
MODELLING
STEP 5
DEPLOYMENT
Deploy the analytical
model into your decision-
making processes.
STEP 6
Once validated,
develop your model to
predict future patterns.
The model needs to be
evaluated for accuracy.
PREDICTIVE ANALYTICS
PROCESS
Predictive Analytics enables organisations to
forecast future events, analyse risks and
opportunities, and automate decision making
processes by analysing historic data.
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