You can find trends in Digital businesses Today and senarios where you can learn how business analytics works impliedly.

1. Implication of Analytics in Today’s Business
BY
Nivya Sree Avula

2. OVERVIEW:
• Business Today
• Digital Trends in Today’s Business
• Digital Platforms and Businesses
• Application of Analytics in Business
• 2 digital platform cases: Facebook and LinkedIn
• 2 Business cases: Bounce, Zomato
• conclusion

3. BUSINESS TODAY
• Most of the businesses are transforming their traditional model to digital model so that we can track,
measure, retain and optimize the techniques that are practiced in day-to-day activities
• Most of the digital platforms started implementing the Analytics in their business to enhance and
enlighten in this information age.
• Few platforms like Facebook, LinkedIn, Quora, Medium etc., started enhancing their businesses.
• Now in Today’s start-up’s are interested in Digital business setup and grow’s very fast like Bounce, Vogo,
Zomato, Swiggy etc.,
• Most of the cases their Business model is IoT or SAS based.
• Some times these business are just platform providers like OLA and UBER.

4. DIGITAL TRENDS
In recent analysis it found there are 6 trends that drive business Today
1. Enterprises go after digital business Moonshots
2. Enterprises adopt next-generation IoT platforms
3. Action at the edge disrupts the cloud
4. Enterprise enter an age of Information Enlightenment
5. Enterprise redesign customer experiences amid stronger data privacy rules
6. Enterprises begin closing their data centers
Source: https://www.youtube.com/watch?v=WXB3CvBmTuU

5. DIGITAL PLATFORMS DIGITAL BUSINESS
A few digital networking platforms
• Facebook
• Linkedin
• Quora
• Instagram
• Our Blog
• Medium
• Pinterest
A few popular digitalized
businesses
• Bounce
• Uber
• Ola
• Zomata
• Swiggy
• Dunzo
• Big Basket

6. APPLICATION OF ANALYTICS IN BUSINESS
Company Founded Place / Company type Analytics Introduced
Facebook 2004 Social Media Network Facebook Analytics 2011
LinkedIn 2002 Employment –Oriented
service
Search , Network and
Analytics(SNA) team
2015
Instagram 2010 Social Network Service Insight Analytics 2016
Quora 2009 Website Data Analytics 2012
Medium 2012 Online publishing platform Stats 2016

7. FACEBOOK APPLICATION OF ANALYTICS
Business model - Facebook is a “social networking platforms”.
• Facebook used analytics to identify the “spam profiles”, “Graphic content and underage use” to increase cyber security,
“tracking the website”.
• In 2017, it try to understand what are the sources of revenue and most frequent practice of generation to revenue.
• Through data Facebook determined that Most of the revenue is from Advertisement and bulk data access sold to third
parties.
Facebook launched Facebook Analytics for user
• Advanced ML/AI capabilities to display important insights, such as which audiences are most often engaging with or
converting the user content
• Omni-channel analytics so user can view users who hopped from the Facebook app to your app to your website back to
Facebook on desktop before converting
• Custom dashboards so you can see important data at a glance
• It has the ability to build custom audiences based on omni-channel insights
• The ability to create ”event source groups” from the dashboard, allowing user to segment and retarget people who
followed a specific event path on user page
Source: https://www.socialmediaexaminer.com/facebook-analytics-how-to-get-started/

8. LINKEDIN APPLIES ANALYTICS IN 2015
Business model - LinkedIn is a “Professional networking platforms”.
• LinkedIn analytics tool is LinkedIn analytics.
• In 2015, LinkedIn added an analytics tool to its publishing platform. The tool allows authors to
better track traffic that their posts receive.
• It also found “there are 750+ Influencers, approximately 74% of which are male”
LinkedIn Analytics for user
• “Who’s viewed your profile?” tells about user profile views and “Who’s viewed your posts?” tells
about user post views.
• Now recently it started showing “suitable job” for user based on their search and by matching their
profile update on LinkedIn.
Source: https://en.wikipedia.org/wiki/LinkedIn

9. BOUNCE
Bounce Analysis
• Bounce started it’s journey in the end of 2018. Now, Within 10 months of inception, the startup saw over 5
million rides, covering 30 million kilometers.
• It is tracking, Corban emission(pollution reduction), it’s frequent used type of user, need(by measuring
distance like outstation)
• It found that, 25 % of its users are Women and about 8% of these rides are homemakers who use Bounce
scooters for their day-to-day activities.
• It also found, 42 % of Bounce’s rides either originate or finish at metro stations, which means roughly 5% of all
metro commuters use Bounce as their preferred mode of commute for first and last-mile connectivity.
“It also estimated that if one out of every three rides is made on a Bounce bike instead of a private means of
transport, its users would help reduce Bengaluru’s carbon emission by 2.1 million kg Carbon Dioxide.”
Source: https://yourstory.com/2019/07/bike-sharing-startup-bounce-bengaluru

10. ZOMATO
Zomato Analysis
• Zomato is into food delivery system
• It published that initial 1,000-orders-a-day milestone within a few weeks of start-up
• In recent news, it published that “Zomato delivers 1.3 million orders a day from 150,000 restaurants across
India, with more than 10 orders per restaurant per day”.
• Zomato analyzes that which tier city gives much order and cost effective and also performs Sentiment analysis
of the customers by giving the offers and suggestions.
• As data leads to sales Zomato started seeing Tweets, the reply which has given by them has boosted the sales.
It became the hot topic and the tweet is “Food has no religion”.
• In this way it is implementing analytics in it’s business indirectly.
Source: https://yourstory.com/2019/10/zomato-35-pc-monthly-order-volume-tier-3-4-cities

11. CONCLUSION
• So, it is clear that in this Today’s information Era it is inevitable to remove analytics in the businesses. It
has to run in the business to grow faster and higher.
• Each business has different model so each analysis works different for each business. So there will
always a new innovation in using Analytics in Business.

12. THANK YOU