2. Be a “Bhavisyavani” (The future predictor)
What customers see or shop, all these data are collected and
analysed to predict what they will want in future from you.
3. Learning 1: Customer lifetime value (CLTV)
How much customer will buy from the company over a time
Do you have the next best thing?
Do your website recommends the best product offering?
This questions are answered
by using Predictive Analysis.
4. Learning 2: Digital Marketing is at heart
Majority of the data are collected through
online customer touchpoints.
The manager needs to decide where will
be the maximum customers attracted and
data can be easily gathered.
Digital marketing strategies are important
in very useful for current as well as future
market developments.
5. Learning 3: Forecasting
Data gathered through
digital marketing is also
useful for production
planning.
Production department can
forecast demand with more
accuracy and provides
opportunity to fulfil
customer’s wish.
6. Manager Vs Data Scientist
A manager’s work is to
communicate data and
make meaningful
interpretation of analysis
presented by data science
team
To form hypothesis, gather
data and maintain properly,
a data scientist is working
around the area of statistics
and predictive analysis
modelling.
7. Statistics isn’t
wizardry!
The myth in managers
that they don’t have to
crunch number or data
will speak for themselves.
Managers have to
communicate right
meaning of right data at
right time.