3. Google Search
Master at creating data products
• Google BREAK THROUGH - Search
Engine could use input other than
the text on the page.
• Spell Checking- by suggesting
corrections to misspelled searches
and observing what the user clicks
in response.
• Speech Recognition - by using the
collected voice data and integrating
voice search into the core search
engine.
4. • Facebook and Linkedin use
patterns of friendship
relations to suggest other
people you may know with
fighting accuracy.
• Amazon understands that a
book isn’t just a book, a
camera isn’t just a camera
and a customer isn’t just a
customer
DATA PRODUCTS AND DATA EXHAUST
14. Know Your Customer
• Customer foot prints on the Dialler.
• Conversation ended with red faced customer.
• Customer deserves a call back.
• Friendly and loyal customer.
• Satisfied customer with service
• Customer calling more than 20 times a month.
• Need to change the agent for the next conversation.
35%
29%
11%
10%
8%
7%
16. TAKE AWAY
• Offer what customer wants instead of what you have to offer.
• Historical patterns are must to Predict at the nearest of the accuracy.
• Data cannot be obtained rather it has to be “GENERATED”.
• The real objective of Data Analytics should not be beyond business.
• “FRICTIONLESS” checkout is the epitome of successful data strategy.
17. 1. To which role would you assign primary responsibility for
translating a business objective to a data objective?
A. Data engineer
B. Data analyst
C. Data scientist
D. Data translator
Question for You ?
18. Data Translators are the interface between the analytics team and
the rest of the business. They are responsible for defining the
business questions that motivate the project, helping translate these
into data questions, and developing a strategy for obtaining the right
data. At the other end, they are responsible for translating the results
of the analyses into business insights and helping the business
stakeholders use these insights to make decisions.
19. 2. Business Intelligence tools are primarily used for ?
A. Descriptive analytics
B. Predictive analytics
C. Prescriptive analytics
3. Machine Learning tools are primarily used in ?
A. Descriptive analytics
B. Predictive analytics
C. Prescriptive analytics
Question for You ?
20. • Business intelligence tools primarily serve to summarize and
visualize large amounts of data from the past for the purpose
of descriptive analytics
• Machine learning tools allow the development of predictive
models on the basis of training data.