2. Q. Analytics & data science…is there a difference?
● Yes. Although we use the terms interchangeably, there is a
difference. While data science deals with questions that should be
asked, analytics focuses more on answering these questions.
Q. So, how does data science help me?
● With data science, you can solve the most challenging business
questions, extract actionable insights from data, and power
business growth with data-driven decision-making.
Q. Okay, so how do we, at Grazitti, help businesses make data-driven
decisions?
● The complexity of the questions that you’re able to answer
depends on the level of analytics maturity you’re at. Let’s find out
how we help businesses through these levels of maturity to drive
growth.
Questions You May Have
4. ● Understand past and
current events better by
describing or summarizing
existing data.
● Solutions:
▪ Data Mining
▪ ETL
▪ Data Warehousing
▪ Data Visualization
Descriptive Analytics
5. ● Transform raw data into
actionable information.
● Example: Exploring large
databases and improving
market segmentation to
launch highly-
personalized campaigns.
Data Mining
7. ● Build a central repository of integrated data
● Example: Building a data warehouse with
customer information from a company’s point-of-
sale systems, website, mailing lists, and
comment cards
Data Warehousing
8. ● View important data in a visually appealing format.
Data Visualization
15. ● Prescribe the best achievable
outcome
● Solutions:
▪ Optimization Analysis
▪ Machine Learning
Prescriptive Analytics
16. Optimization Analysis
● Learn more about the best
course of action you can take
● Example: Find out how many
products of each type you
need to manufacture from the
number of parts you have, in
order to maximize profits and
make effective use of your
inventory
17. Machine Learning
● Learn from this outcome and
find out how to address it.
Examples:
● Virtual Personal Assistants
such as Siri, Alexa, Google Now
● GPS Traffic Predictions
● Video Surveillance