At LinkedIn, customer success is always our top priority. In this presentation, we will talk about how we use advanced analytics, plus great visualizations, to empower our sales teams to take timely actions to improve customer relationship and minimize churn.
3. Who are we?
www.linkedin.com/in/limichael
Michael Li
• Sr. Director, Business Analytics
• Big data evangelist and practitioner
• Sr. Engineering Manager
• Build big data analytics product and
platform
Wendy Shi
www.linkedin.com/in/yurongshi
Cindy Zhou
www.linkedin.com/in/cizhou
• Director, Business Analytics
• Analytics leader and big data
enthusiast
4. Connect the world’s professionals
to make them more productive
and successful
LinkedIn’s Mission
10. Business Analytics Team Mission
“Provide the best-in-class, end-to-end, scalable
analytic solutions to power internal LinkedIn teams to
be more productive and successful!”
15. Core
Strategic
Venture
Optimize business performance
leveraging the powerful & unique
LinkedIn data we have
Optimize
Innovate
Innovate the way on how analytics can
help our business grow leveraging both
internal & external data
Empower business partners to have
access to the data and insights they
need when they need them
Empower
Business analytics drives business value thru the EOI Framework
leveraging big data
Details: https://www.linkedin.com/pulse/article/20150930145256-16223736-beyond-big-data-introducing-the-eoi-framework-for-analytics-teams-to-drive-business-impact
16. We talked about how we turned big data into sales two years ago
17. With LinkedIn’s Business Continuing To Grow, Our Focus Has Been Shifting To
Building Scalable Analytics Solutions For Customer Success
Churn Guard
18. Preventing customer churn is critical to sustainable business
Customer Churn
• Revenue leakage
• Reduce company valuation
• Give weapons to your
competitors
• Damage company brand &
employee morale
19. … but fighting churn is a tough battle!
It’s usually too
late
No one size fits
all solution
20. Churn Guard
– a scalable tool empowering every account manager to reduce churn
Right Customer
Right Timing
Right Action
21. Churn Guard reduce customer churn in 3 steps
Measure
Step Description
Measure and track
performance
Predict up-coming risks
with machine learning
Prevent churn with
prescribed actions
Predict
Prevent
1
2
3
22. Measure: accurately measure churn at region, segment, team
& individual level
Region and segment level churn measurement
help leadership understand churn baseline
Rep and manager level view establish
accountability
1
24. Churn Guard surface at-risk account information to account managers
Account
manager or
team level
view
25. Churn Guard surface at-risk account information to account managers
Accounts at
risk by
amount and
renewal date
Account
manager or
team level
view
26. Churn Guard surface at-risk account information to account managers
Accounts at
risk by
amount and
renewal date
Key risk
drivers for
each
account
Account
manager or
team level
view
28. Churn Guard is driving impact...
• 1400 reps using it
• 300% lift in churn
detection accuracy
29. Web API
E2E Technologies that power Churn Guard
Petabytes
Megabytes
Terabytes
1
2
Gigabytes3
4
Data ETL &
Processing
Aggregation Analytics Portal
as “One-stop”
shop
Data Visualization
Machine Learning
30. E2E Technologies that power Churn Guard
Petabytes
Megabytes
Terabytes
1
2
Gigabytes3
4
Data ETL &
Processing
Aggregation Analytics Portal
as “One-stop”
shop
Data Visualization
Machine Learning
31. Web API
E2E Technologies that power Churn Guard
Petabytes
Megabytes
Terabytes
1
2
Gigabytes3
4
Analytics Portal
as “One-stop”
shop
Data Visualization
Machine Learning
32. Web API
E2E Technologies that power Churn Guard
Petabytes
Megabytes
Terabytes
1
2
Gigabytes3
4
Data ETL &
Processing
Aggregation Analytics Portal
as “One-stop”
shop
33. Web API
E2E Technologies that power Churn Guard
Petabytes
Megabytes
Terabytes
1
2
Gigabytes3
4
Data ETL &
Processing
Aggregation
Data Visualization
Machine Learning
35. Data Systems
Data
Sources
Applications & Portals
VisualizationSearch
HDFS (Strunctured / Un Structured)
Y
A
R
N
Map-Reduce Spark
Pig Hive
Data Storage & Computation
1
Databus
ETL & Data Ingestion
,s
2
Serving
High R&W, NoSQL
Espresso
Transitional OLTP Read only, NV Store
Text Analytics
Bus Intel & Analytics
OLAP Eng/DB
Pinot
3
36. Tableau Highchart
MySQL, Teradata Elastic Search, Voldemort, Espresso, Pinot
Data Visualization Platform
Visualization
Apps /
Portal
Data Serving
Churnguard ….
Phoenix Web Application Platform
38. Web Application Framework- Phoenix
Phoenix Runtime
API Gateway
Service
Discovery
Li.Container Configuration
Application Framework
Microservices Spring Boot
Restful Services PythonPHP
Zero Downtime
Deployment
Failover&
Recovery
Scaling
Continuous
integration
Automated
Test
Ops & Infra
Backbone.js
Play
Logging Metrics & MonitoringKafka Cache Security
39. Put everything together….
Scalable Data Systems,
Easy to use Analytics Visualization Platform
Efficient Web Application Framework
Big Data Apps at Speed & Scale
40. One more thing
“What is the most important thing for a team or a
company in the 21st century?”
Talents! We are hiring!
41. Hire the Right People with the Right …
What else makes a great analyst?
5%
15%
100%
80%
Skills + IQ & EQ + Passion = Good Analyst Great Analyst?
?
0%
+XXX%
41
42. Two ways to apply
Search “Business analytics, LinkedIn” on LinkedIn
Contact us on LinkedIn
www.linkedin.com/in/limichael
Michael Li Wendy Shi
www.linkedin.com/in/yurongshi
Cindy Zhou
www.linkedin.com/in/cizhou