business analytics project.

1. A culture of analytics:the success
story of Netflix and Amazon
Prime.
Name: Sharonya Trivedi
Roll no: 1937053
Class: 2MAECO

2. Have a purpose.
 There is a need to focus on tangible objectives as well as technical specificatiosns.Focussing just
on technical issues might lead to losing your way with analytics.
 A technology deployment, no matter how advanced, is not going to magically transform your
organization into a data-driven powerhouse like Amazon, especially if its purpose is vague and
poorly defined.
 To avoid costly mistakes, business end users must be part of the analytics strategy from day one

3. Link “insight” to action
 Amazon, Google and Netflix are masters at transforming insight into data-driven action. For
example, Amazon uses big data to automatically customize the browsing experience for its
customers based on their past purchases, and optimize sales.
 Netflix seeks to directly impact customer behavior with data-fueled recommendations and, more
recently has used data to spawn the successful creation of original content that audiences are
flocking to, à la Orange is the New Black and House of Cards.

4. Push analytics to business end points.
 Successful analytic cultures find ways to push outputs to, and integrate seamlessly with, the go-to
applications that real-world sales, marketing, procurement and other business-level decision-
makers use on a regular basis.
 . A “touchpoint” approach to analytics concentrates on how and where analytics will realistically
be utilized and ensures that learnings are integrated with these applications — a critical part of
connecting insight to action.

5. Create feedback loops.
 The analytic climate is always changing for most organizations as new data sources become
available, and as business opportunities, challenges and priorities evolve.
 Monitor performance with A/B testing and use “feedback loops” to continually test, refine and
improve analytic applications and begin the cycle again. In this way, organizations can rapidly
and continuously get actionable data out to the users who need it, even as needs evolve.
 Many companies want to be able to emulate data darlings like Amazon, Google and Netflix. But
those organizations have succeeded because they have wisely integrated analytics into the very
fabric of their business.